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Project Jengo Redux: Cloudflare’s Prior Art Search Bounty Returns

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Project Jengo Redux: Cloudflare’s Prior Art Search Bounty Returns

Again, here we are Project Jengo Redux.

Sable Networks, a firm that doesn’t seem to have conducted a legitimate business in almost ten years, filed a lawsuit against Cloudflare on March 15 citing patents that have nothing to do with the nature of our company or the services we offer. We have now encountered a patent troll lawsuit twice.

As regular readers of this blog (or readers of tech publications like ZDNet and TechCrunch) will recall of Project Jengo Redux, Cloudflare took a tough stance against patent troll Blackbird Technologies in 2017 and made it clear that we wouldn’t just go along with a nuisance settlement as part of what we thought was an unfair, unjust, and ineffective system that stifled innovation and threatened emerging companies. You can watch John Oliver’s or Silicon Valley’s stinging critiques of patent trolling if you don’t want to read all of our past blog pieces on the subject.

We promised to respond against patent trolls in a way that would subvert the conventional incentive system. We established Project Jengo, a crowdsourcing initiative to unearth proof of previous art to invalidate all of Blackbird’s patents, not just the one asserted against Cloudflare, Project Jengo Redux in addition to vigorously defending the case in court. It was a big success since we won the legal battle, invalidated one of the patents held by the patent troll, and published prior art for 31 of Blackbird’s patents, which anyone could use to either contest the validity of those patents or to more easily counteract their overbroad assertion. Most crucially, Blackbird Technologies reduced its employees and filed a lot fewer lawsuits after becoming one of the most active patent trolls in the US.

We’ll carry it out once more. You’re needed, too.

Changing the Situation — The $100,000 Bounty for Prior Art Sable Networks’ lawsuit and the disturbing tendencies it sought to solve when it first started Project Jengo fit together well. Sable is attempting to extend 20-year-old, antiquated patents far beyond what they were intended to protect. By expanding its claims to a business like Cloudflare, Project Jengo Redux it signals that it may try to extend its rights to those who merely use routers, that is, everyone who uses the Internet. It has already sued over a dozen technological businesses with a variety of different products and services in mind.

We are supporting a new prior-art challenge to find references for all of Sable’s active patents because we believe that Sable’s decision to file these lawsuits on such a shaky foundation should carry some risk connected to the fundamental merits of its patents and its arguments. We need the assistance of the Project Jengo Redux Cloudflare community to find prior art, or proof that the claimed technology was in use or well-known before to the filing of the patent application, that can be used to invalidate Sable’s patents. Additionally, we’ll make it worthwhile for you to try by paying $100,000 to be split among the victors of such a search.

Once more, we are pledging $100,000 to be divided among those who submit what we deem to be the most beneficial prior-art references that might be used to dispute the validity of Sable’s patents. As long as Sable Networks, Inc. v. Cloudflare, Inc., No. 6:21-cv-00261-ADA (W.D. Tex. ), which means until Sable fully drops the case (and with prejudice, meaning Sable can’t file again), there is a settlement, or the case has been decided by the court and all appeal rights have been exhausted, you may submit prior-art references.

We will choose winners from the submitted work and distribute a portion of the $100,000 as awards once every three months for the next two years or until the lawsuit is resolved, whichever comes first. After the case is over, we will decide on the final winners from all of the entries and distribute the leftover cash. Additionally, we will make any pertinent submissions accessible to the public.

The four Sable patents cited against us are listed below:

U.S. Patent No. Title Earliest Potential Priority Date
6,954,431 Micro-flow management Apr. 19, 2000
6,977,932 System and method for network tunneling utilizing micro-flow state information Jan. 16, 2002
7,012,919 Micro-flow label switching Apr. 19, 2000
8,243,593 Mechanism for identifying and penalizing misbehaving flows in a network Dec. 22, 2004

And here are the six remaining Sable patents:

U.S. Patent No. Title Earliest Potential Priority Date
6,854,117 Parallel network processor array Oct., 31, 2000
7,428,209 Network failure recovery mechanism June 12, 2001
7,630,358 Mechanism for implementing multiple logical routers within a single physical router July 9, 2001
8,085,775 Identifying flows based on behavior characteristics and applying user-defined actions July 31, 2006
8,817,790 Identifying flows based on behavior characteristics and applying user-defined actions July 31, 2006
9,774,501 System and method for ensuring subscriber fairness using outlier detection May 14, 2012

We anticipate that making prior art on all of Sable’s patents accessible will benefit our case as well as those who choose to respond to Sable’s patent trolling by giving them an advantage and lowering their costs. This strategy may be a successful way to lessen the threat posed by Blackbird’s patents, as seen by the dramatic drop in employees and filings we observed after disclosing prior art on those patents.

On 49 of the Blackbird patents, we previously received 275 submissions from 155 different individuals. 18 participants received compensation from us in the end. We were encouraged by the number of Cloudflare community members who not only contributed to this work but also showed great enthusiasm and gratitude for the chance to be involved:

I’ve been disappointed and incensed by a number of patent cases over the years where I believe that so-called “patent trolls” have misused the patent system to hinder innovation and benefit from litigation. I liked what Cloudflare has done with Universal SSL before, especially with Jengo. I was eager to try and assist when the chance to perhaps have an impact on a true patent troll case came.

Security Engineer Adam

I’ve never won anything in my life, so I’m fairly ecstatic. And to do so in order to defeat malicious patent trolls? Without a doubt, today is one of my favorite days ever. I filled out the form because software patents are useless and obviously created to extort money from successful entrepreneurs for flimsy and transparent claims. Additionally, I was homeless at the time I turned in the assignment and spent the entire day in the library.
San Francisco Resurrecting Project’s Garrett Jengo
It’s worth taking a deeper look at this case and the underlying issues it reflects in order to understand why we are requesting your assistance in fighting back once more.

Cloudflare’s “case” against Sable Networks

The patents at question in this case were first used by Caspian Networks, a business that attempted to market what it referred to as a “flow-based router” in the early 2000s. Originally known as Packetcom, Caspian debuted their flow-based router, known as Apeiro, to the public in 2003. According to a press report from that era, Apeiro routers functioned similarly to conventional routers already in use, but with more memory and logic for managing packets from the same “flow.” The following is how Caspian distinguished their “flow-based” router from the conventional routers that were already in use in a 2003 slide deck:

Project Jengo Redux: Cloudflare’s Prior Art Search Bounty Returns

Project Jengo Redux: Cloudflare’s Prior Art Search Bounty Returns

Caspian closed its doors in 2006 despite its efforts to promote the advantages of its router.

The firm that is suing Cloudflare at this point is Sable Networks. Despite the fact that it doesn’t seem like much of an entrance. As far as we can determine, Sable briefly continued Caspian’s work and made an effort to market the flow-based routing technology. Sable attempted to do the same but was equally unsuccessful, and the most recent activity we could locate was from 2011. Following an extended period of seeming inaction, Sable’s attention last year moved to seeking to obtain money through legal action by making broad use of patents filed on Caspian’s flow-based router technology twenty years prior. So Sable turned into a patent troll.

Eight cases claiming violation of Sable’s router patents were filed in the initial round of litigation by Sable, and they were swiftly settled. Although the defendants in those lawsuits, such as Cisco and Juniper Networks, offer a variety of Internet services, they all at least produce and market networking hardware.

It’s interesting to note that all of those cases were resolved right before Sable would have had to take two actions that would have put its legal arguments to the test: (1) respond to a USPTO administrative proceeding questioning the validity of its patents; and (2) attend a district court hearing where the judge would have determined the proper interpretation and scope of the patent claims. As a result, before meaningfully litigating its claims or facing a binding court or administrative ruling that might have addressed or likely undermined Sable’s overly-broad assertion of those patents, Sable filed cookie-cutter lawsuits against eight defendants, waited for the defendants to respond, and then settled the cases.

Shortly after reaching settlements in the first eight instances earlier this year, Sable reversed course and instituted six new legal actions against a fresh group of Internet firms, this time including Cloudflare. Contrary to the earlier defendants mentioned, Cloudflare is not engaged in the manufacture or sale of routers or switches. Sable’s infringement claim is therefore not in doubt, and it has chosen a defendant who is motivated to respond.

This situation serves as a useful example of how patent trolls work. All four of the patents that Sable is claiming against Cloudflare were submitted between 2000 and 2004, when dial-up Internet access was still widely used, and they are all based on “flow-based routing” technology from Caspian, which is completely unrelated to the technology that Cloudflare uses in its goods and services. One of the patents Sable cites as an illustration is U.S. Patent No. 6,954,431, which is titled “Micro-Flow Management.” Almost exactly 21 years ago, on April 19, 2000, this patent was issued. The ‘431 patent describes a router that assigns a label to packets for a specific flow and forwards all of the packets in the same flow depending on the label, much like Caspian’s Apeiro routers from 2003:

It makes the claim that it can teach “[n]ew switching technology [that] relies upon state information for providing a previously unavailable degree of quality of service”; this is likely the flow-based routing technology Project Jengo Redux that Caspian included in its 2003 Apeiro but that the market rejected more than ten years ago.

The patents are currently being stretched well beyond what they were originally intended to cover by Sable. Many of Sable’s allegations of infringement seem to cover fundamental routing and switching capabilities that were in use long before any purported invention date. Sable’s reading of the ‘431 patent appears to broaden its scope to include any form of packet processing, maybe including the “conventional routers” from the 2000s that routed each packet independently.

Sable has shown that it intends to use its patents widely by making this leap. Sable can now make accusations against any individual or company utilizing a firewall or even a router with just a short step. According to its rationale, everyone utilizing a WiFi router at home could be Sable’s target. Furthermore, Sable has already asserted that firewalls, including firewall hardware and software, are covered by its patents. Once more, its absurdly wide interpretation puts everyone attempting to defend their networks from outside dangers at danger, not just big businesses.

You haven’t been paying attention to the current situation of patent litigation, where tiny businesses are being sued for utilizing copy machines, if you believe that you or your little business is safe since you haven’t really done anything illegal and no court would ever hold you guilty. The incentives for patent trolls won’t alter unless some of us fight back.

A flawed incentive system that is still flawed

The proliferation of patent trolls like Sable is caused by a misaligned incentive structure that is fueled by the exorbitant costs of battling off even fictitious patent claims. The average litigation cost for defending patent infringement claims brought by a non-practicing entity through trial and appeal was staggering $4,500,000 for big cases (i.e., cases with more than $25 million at stake), according to the 2019 Report of the Economic Survey by the American Intellectual Property Law Association. The average cost of the defense was $750,000, even in minor situations where the stakes were under $1 million.

Patent trolls see only benefits from each additional lawsuit they file since they are aware that the majority of defendants will settle for a portion of their anticipated litigation expenses long before infringement claims are heard in court. Regardless of the validity of their legal arguments, their business strategy is to file as many cases as they can because they are confident that the majority of defendants would agree to a settlement before the case is decided on its merits. As a result, they take nebulous technical patents that were issued in the past and apply them as liberally as possible to new technologies and new businesses. The majority of these trolls are non-practicing entities that don’t sell any of their own goods and just exist to tax other businesses.

After dropping for a few years, the number of patent lawsuits grew by around 12% in 2018 compared to 2019, and growing activity by non-practicing companies in the purchase of patents projected even more growth in the number of such cases in the future. A patent troll decided it was a good idea to file a lawsuit against a company that makes COVID-19 tests in the middle of a pandemic, according to the Electronic Frontier Foundation, which also noted that “some patent owners actually saw the rise of the COVID-19 health emergency as a business opportunity.” According to a recent report, there was a 43.3% increase in patent litigation in Q1 of 2021 compared to the same period a year earlier, and non-practicing entities had their busiest Q1 since 2015, fueled by the litigation finance industry, which is flush with capital. This trend is not showing any signs of slowing down.

We’ll say it again: Cloudflare is a staunch advocate of the patent system. We can confidently manage our business because to the 160+ patents that have already been granted to us. We can sell and offer our services globally, make improvements to our current goods, and create new ones. However, patent trolls exist in an universe where they can assert fictitious prospective uses of their patents without having to spend in hiring and paying personnel or figuring out and meeting market demands. The goal of Project Jengo Redux is to correct this unbalanced incentive structure by making the filing of pointless patent litigation cost-prohibitive. With your assistance, we can once more convey the message that by filing the incorrect case, patent trolls run the risk of losing not just one lawsuit but many more.

We hope you’ve had a good night’s sleep and are ready to resume your search for past art.

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FarmVille Once Took Over Facebook. Now Everything Is FarmVille.

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obituary farmville thursday instagram new

On New Year’s Eve, FarmVille the game, which was popular a decade ago, was discontinued. But its influence extends beyond games, for better or worse.

At its height, the game had 32 million daily active users and approximately 85 million total players. This was in the beginning of 2009, when Facebook was just beginning its efforts to eat up a. It contributed to the evolution of Facebook from a site you went to check on text-based updates from friends and family into a time-sucking destination in and of itself.

Then-CEO of Zynga and current chairman of its board of directors Mark Pincus said, “We viewed of it as this new layer in your social, not just a method to bring games to people.” “I reasoned that I should give them something to do together off of these social networks like Facebook.”

That was partly accomplished by trapping players in loops that were challenging to escape. Some players would set alarms so they wouldn’t forget to check in every day because failing to do so would cause your crops to wither and die. For assistance, you could pay real money or message your Facebook friends, which annoyed non-players who were constantly bombarded with messages and updates in their news feeds.

FarmVille became a pacemaker for the online economy of the 2010s, according to game designer and professor Ian Bogost at Georgia Tech.

That wasn’t meant as praise, though.

According to Mr. Bogost, the game pushed players to enlist their friends as resources for both themselves and the service they were utilising. According to him, it gamified attention and promoted interaction loops in a way that has since been copied by everything from QAnon to Instagram.

He remarked, “The internet itself is this bazaar of obsessive worlds where the purpose is to pull you back to do the thing it offers, to catch your attention and serve advertising against it or else derive value from that activity.”

FarmVille was the first game to gain widespread popularity, despite other games having used many of the same strategies (Zynga’s biggest hit at the time was Mafia Wars). Mr. Pincus claimed that he routinely dined with Facebook co-founder Mark Zuckerberg and that in early 2009, he was informed that games will soon be able to publish to a user’s news feed. According to him, Mark Zuckerberg advised Zynga to saturate the market with new games, and Facebook will filter them out based on how well they performed.

Even though the agricultural game genre wasn’t particularly popular at the time, Mr. Pincus thought it would appeal to a wide demographic, especially to adults and women who hadn’t previously spent hundreds of dollars on a machine like the Xbox 360, PlayStation 3, or Nintendo Wii. It would be a foreshadowing of the explosive growth of the mobile gaming business, as casual players shifted away from PC as cellphones became more prevalent.

FarmVille never received much love from the gaming community, despite its popularity. At the 2010 Game Developers Conference, a Zynga executive was jeered as he presented an award. Mr. Pincus claimed he had difficulty hiring developers because they believed their peers would disapprove of them for working on the game.

Despite how hard it was to resist, Time magazine selected FarmVille as one of “The 50 Worst Inventions” in 2010, referring to it as “barely a game.”

For many, the game’s appearance in people’s news feeds will be more memorable than the game itself. The issues were well known to Facebook.

Facebook limited the amount of updates and notifications that games may post to news feeds after learning from non-players that the game was spammy. According to Vivek Sharma, a Facebook vice president and head of gaming, the company now wants to send fewer alerts only when they have a greater chance of having an impact.

He said that FarmVille was largely responsible for the emergence of social gaming and claimed that Facebook had learned some crucial lessons from the “saga” over excessive notifications.

In order for those applications to be self-sustaining and healthy, he said, “I think people started to find out some fundamental behavioral things that needed to be changed.” And a big part of that, in my opinion, is the notion that humans do, in fact, have a limit, and that limit shifts through time.

There is little doubt that the notifications were effective, even if some people found them annoying. Zynga’s Scott Koenigsberg, a director of product, pointed out that gamers had opted in to send the requests.

At some point or another, “everyone received a ‘lonely cow’ notification, but those were all being shared by their friends who were playing the game,” he said.

One person who experienced this was Mia Consalvo, a professor of game studies and design at Concordia University in Canada.

“Oh, 12 of my pals need help,” she said, when she logged into Facebook, she said.

She argued that the game didn’t foster meaningful or long-lasting interactions, casting doubt on how social it actually was.

“The game itself isn’t encouraging you to have a dialogue with your pals or to spend time together inside the game space,” she claimed. Really, it’s only a matter of pressing a button.

However, individuals who frequented the location daily claimed that having something to talk about had helped them stay in touch with their friends and acquaintances.

A 42-year-old radio producer from Toronto named Maurie Sherman claimed that he had played with the receptionist and that he frequently visited her desk to discuss it. He remarked, “She would tell me about the pink cow she got.

He took pleasure in it as a diversion, a digital stress reliever, and a calming hobby that would allow his mind to wander. He claimed that over the years, he had invested more than $1,000 – actual money — in order to enhance his farm or save time.

And he admitted that he was entirely to blame for sending the notifications, but they were always successful in getting him the assistance he needed.

People who were sick of hearing that you needed help with their cows “would mute you or unfriend you,” he claimed.

Jaime Tracy, 59, of Lancaster, Pennsylvania, claimed she was “one of those obnoxious individuals” who frequently asked for assistance until her friends and family advised her to stop.

She played the game for more than five years since she adored it and considered it a sort of meditation. She said that she had “nothing else to do” now that her kids were adults and living away from home.

You might just stop thinking about things and plant some carrots, she suggested.

Online games were not yet the giant they would become, but they did take up as much of the internet as possible.

Then, in June, FarmVille appeared. You would still receive a lot of nags and prods from your friends asking for assistance if you weren’t one of the tens of millions of individuals maintaining a cartoon plot of land on Facebook every day and accumulating an endless supply of cutesy souvenirs. Users of Facebook were either drawn into an obsession by the game or were constantly reminded that they were missing out on one.

There were still people playing the Flash-based Zynga game that was built for Facebook on Thursday, but its sequels that can be played through mobile apps will continue to exist. (The game’s software, Flash, shut down at the conclusion of the calendar year.)

However, the original FarmVille continues to influence modern internet users through the habits it instilled in them and the growth-hacking strategies it developed, which are now ingrained in almost every website, service, and app vying for your attention.

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Nashvillebased Xsolis Ai Silicon Valley

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Nashvillebased Xsolis Ai Silicon Valley

Nashvillebased Xsolis Ai Silicon Valley, Xsolis a healthcare technology company, has secured a $75 million investment from Brighton Park Capital, a private equity firm. The investment will be used to support the growth and development of Xsolis’ innovative healthcare solutions.

Xsolis is a leading provider of predictive analytics and clinical decision support tools that help healthcare providers optimize their operations and improve patient outcomes. The company’s solutions use machine learning and artificial intelligence to analyze patient data and provide insights that enable providers to make more informed decisions about patient care.

Brighton Park Capital’s investment will help Xsolis expand its product offerings, accelerate its growth, and further develop its technology platform. With this new funding, Xsolis will be able to reach more healthcare providers and improve the quality of care for more patients.

Overall, the investment is a positive development for Xsolis and the healthcare industry as a whole, as it demonstrates continued interest and support for innovative solutions that can help providers deliver better care and improve outcomes for patients.

Can you please provide more information on which Best in Business Awards XSOLIS won, or which organization or publication recognized them? That way, I can provide more specific details on the award and XSOLIS’ achievements.

Overview of Xsolis AI

Xsolis AI is a healthcare technology company that uses artificial intelligence and machine learning to help healthcare providers optimize their operations and improve patient outcomes. The company’s solutions are designed to address the challenges facing healthcare providers today, including rising costs, increased regulatory requirements, and the need to improve the quality of care.

Xsolis AI’s platform leverages advanced analytics to provide insights into patient care and utilization patterns, allowing healthcare providers to make more informed decisions about treatment and resource allocation. The company’s tools are designed to help providers identify patients who are at risk for readmission or other adverse outcomes, as well as to optimize staffing levels and reduce waste and inefficiency.

One of Xsolis AI’s key solutions is its Acuity Adaptable Care Management (AACM) tool, which uses artificial intelligence to help providers match patients with appropriate levels of care based on their clinical needs. AACM allows providers to make real-time adjustments to patient care plans, ensuring that patients receive the most appropriate and effective treatments at all times.

Overall, Xsolis AI is an innovative and forward-thinking company that is working to transform the healthcare industry through the use of advanced analytics and artificial intelligence. By helping providers optimize their operations and improve patient outcomes, Xsolis AI is playing a critical role in driving improvements in healthcare quality, efficiency, and affordability.

Xsolis AI’s Intelligent Automated Healthcare Platform

Xsolis AI’s Intelligent Automated Healthcare Platform is a comprehensive solution designed to help healthcare providers optimize their operations and improve patient outcomes. The platform leverages advanced analytics, artificial intelligence, and machine learning to provide real-time insights into patient care and utilization patterns, enabling providers to make more informed decisions about treatment and resource allocation.

At the heart of Xsolis AI’s platform is its proprietary AI engine, which uses machine learning algorithms to analyze large volumes of patient data and identify patterns and trends. The platform also includes a range of other tools and features designed to support providers throughout the care continuum, including:

  1. Acuity Adaptable Care Management (AACM): AACM is a tool that uses AI to help providers match patients with appropriate levels of care based on their clinical needs. AACM allows providers to make real-time adjustments to patient care plans, ensuring that patients receive the most appropriate and effective treatments at all times.
  2. Clinical Utilization Review (CUR): CUR is a tool that analyzes patient data to identify areas where care can be optimized and resources can be better allocated. By providing insights into utilization patterns and identifying potential inefficiencies, CUR helps providers reduce waste and improve the quality of care.
  3. Revenue Integrity Suite: The Revenue Integrity Suite is a set of tools designed to help providers ensure that they are accurately capturing and billing for all services provided. The suite includes features such as charge capture automation, clinical documentation improvement, and denial management.

Overall, Xsolis AI’s Intelligent Automated Healthcare Platform is a powerful and comprehensive solution that is helping healthcare providers optimize their operations and improve patient outcomes. By leveraging advanced analytics and artificial intelligence, Xsolis AI is driving improvements in healthcare quality, efficiency, and affordability.

Benefits of Xsolis AI

There are many benefits of using Xsolis AI’s healthcare technology solutions for healthcare providers, including:
  1. Improved patient outcomes: Xsolis AI’s solutions help providers make more informed decisions about patient care, enabling them to identify patients who are at risk for readmission or other adverse outcomes and intervene earlier to prevent complications.
  2. Increased efficiency: By providing real-time insights into patient care and utilization patterns, Xsolis AI’s solutions help providers optimize their operations, reduce waste, and improve the efficiency of their workflows.
  3. Enhanced revenue capture: Xsolis AI’s Revenue Integrity Suite helps providers ensure that they are accurately capturing and billing for all services provided, reducing the risk of revenue loss and improving financial performance.
  4. Better resource allocation: Xsolis AI’s solutions help providers allocate resources more effectively, enabling them to match patients with appropriate levels of care and optimize staffing levels to meet demand.
  5. Improved compliance: Xsolis AI’s solutions help providers stay on top of regulatory requirements and ensure that they are providing care in compliance with industry standards.

Overall, Xsolis AI’s healthcare technology solutions provide a wide range of benefits for healthcare providers, from improved patient outcomes and increased efficiency to enhanced revenue capture and better resource allocation. By leveraging advanced analytics and artificial intelligence, Xsolis AI is helping to transform the healthcare industry and drive improvements in quality, efficiency, and affordability.

Cost-Saving Features of Xsolis AI

Xsolis AI’s healthcare technology solutions offer several cost-saving features for healthcare providers, including:
  1. Resource optimization: Xsolis AI’s solutions help providers optimize their staffing levels, enabling them to allocate resources more effectively and reduce unnecessary costs.
  2. Reduced readmissions: By identifying patients who are at risk for readmission, Xsolis AI’s solutions help providers intervene earlier to prevent complications and avoid the associated costs.
  3. Reduced waste: Xsolis AI’s solutions help providers identify areas where care can be optimized and resources can be better allocated, reducing waste and improving efficiency.
  4. Improved revenue capture: Xsolis AI’s Revenue Integrity Suite helps providers ensure that they are accurately capturing and billing for all services provided, reducing the risk of revenue loss and improving financial performance.
  5. Increased productivity: By automating many administrative tasks, Xsolis AI’s solutions help providers increase their productivity and reduce costs associated with manual data entry and paperwork.

Overall, Xsolis AI’s cost-saving features help healthcare providers reduce their costs while improving the quality of care they provide. By leveraging advanced analytics and artificial intelligence, Xsolis AI is driving improvements in healthcare efficiency and affordability, making healthcare more accessible and affordable for patients and providers alike.

Privacy and Security Protection

Privacy and security protection are top priorities for Xsolis AI. The company is committed to maintaining the confidentiality and security of patient information at all times and takes a number of measures to ensure that its systems and processes are secure.

Xsolis AI’s solutions are designed to comply with all relevant regulatory requirements, including HIPAA and HITECH. The company uses state-of-the-art encryption and security technologies to protect patient data from unauthorized access and ensures that its systems are regularly updated to maintain their security.

In addition to technical measures, Xsolis AI also has strict policies and procedures in place to ensure that its employees are trained in best practices for protecting patient data and maintaining confidentiality. The company also conducts regular audits and assessments to identify potential vulnerabilities and ensure that its systems are secure.

Overall, Xsolis AI is committed to maintaining the highest standards of privacy and security protection for patient data. The company takes a proactive approach to security and continuously monitors and improves its systems to ensure that patient data remains safe and secure.

Integration with Existing Systems

Xsolis AI’s healthcare technology solutions are designed to integrate seamlessly with existing healthcare systems and workflows, making it easy for providers to adopt and incorporate the technology into their operations.

Xsolis AI’s solutions are built using open architecture and application programming interfaces (APIs), which allows them to be easily integrated with a wide range of electronic health record (EHR) systems and other healthcare technologies. This enables providers to leverage their existing investments in technology and infrastructure, while also benefitting from the advanced analytics and artificial intelligence capabilities offered by Xsolis AI.

In addition, Xsolis AI works closely with its clients to ensure that its solutions are customized to meet their specific needs and workflows. This includes providing training and support to help healthcare providers integrate the technology into their operations and optimize its use for maximum impact.

Overall, Xsolis AI’s healthcare technology solutions are designed to be flexible and adaptable, allowing providers to incorporate the technology into their existing workflows and infrastructure. By leveraging open architecture and APIs, Xsolis AI is helping to drive greater interoperability and collaboration across the healthcare industry, making it easier for providers to deliver high-quality, data-driven care to their patients.

Analytics and Reporting Features

Xsolis AI’s healthcare technology solutions offer powerful analytics and reporting features that enable healthcare providers to gain valuable insights into their operations and patient care.

Xsolis AI’s solutions leverage advanced analytics and artificial intelligence to analyze large amounts of data in real-time, providing healthcare providers with real-time insights into patient care and utilization patterns. This enables providers to identify areas where care can be optimized and resources can be better allocated, reducing waste and improving efficiency.

Xsolis AI’s solutions also provide customizable dashboards and reporting tools that enable providers to track key performance indicators and monitor their progress towards specific goals. This includes metrics related to patient outcomes, readmissions, revenue capture, and more.

In addition, Xsolis AI’s solutions provide predictive analytics capabilities that enable providers to identify patients who are at risk for adverse outcomes or readmission. This enables providers to intervene earlier and prevent complications, improving patient outcomes and reducing costs associated with readmissions.

Overall, Xsolis AI’s analytics and reporting features provide healthcare providers with a powerful toolset for analyzing and optimizing their operations and patient care. By leveraging advanced analytics and artificial intelligence, Xsolis AI is helping to drive improvements in healthcare quality, efficiency, and affordability, making healthcare more accessible and affordable for patients and providers alike.

Customer Support

Xsolis AI is committed to providing exceptional customer support to its clients. The company offers a range of support services to help healthcare providers integrate and optimize its healthcare technology solutions.

Xsolis AI’s customer support team includes experienced professionals who are dedicated to helping healthcare providers maximize the benefits of its solutions. The team provides training, implementation, and ongoing support services to ensure that providers can effectively integrate the technology into their operations and workflows.

In addition, Xsolis AI offers a comprehensive online knowledge base that provides resources and documentation to help clients troubleshoot issues and get the most out of the technology. The knowledge base includes user guides, frequently asked questions (FAQs), and other helpful resources.

Xsolis AI also offers 24/7 technical support to ensure that clients have access to help whenever they need it. The company’s support team is available by phone, email, or online chat to provide assistance and answer any questions that may arise.

Overall, Xsolis AI is committed to providing world-class customer support to its clients. The company’s support services are designed to help healthcare providers integrate and optimize its healthcare technology solutions, so they can provide the highest quality care to their patients.

Related FAQs

Q: What is Xsolis AI?

A: Xsolis AI is a healthcare technology company that offers advanced analytics and artificial intelligence solutions to healthcare providers. Its technology solutions are designed to help providers optimize patient care, reduce costs, and improve outcomes.

Q: What healthcare technology solutions does Xsolis AI offer?

A: Nashvillebased Xsolis Ai Silicon Valley offers a range of healthcare technology solutions, including utilization management, revenue integrity, and clinical documentation improvement. These solutions leverage advanced analytics and artificial intelligence to provide healthcare providers with real-time insights into patient care and utilization patterns, enabling them to optimize care and reduce costs.

Q: How does Xsolis AI’s technology integrate with existing healthcare systems?

A: Xsolis AI’s technology solutions are designed to integrate seamlessly with existing healthcare systems and workflows. The company’s solutions are built using open architecture and application programming interfaces (APIs), which allows them to be easily integrated with a wide range of electronic health record (EHR) systems and other healthcare technologies.

Q: How does Xsolis AI protect patient privacy and security?

A: Nashvillebased Xsolis Ai Silicon Valley is committed to maintaining the highest standards of privacy and security protection for patient data. The company uses state-of-the-art encryption and security technologies to protect patient data from unauthorized access and ensures that its systems are regularly updated to maintain their security. In addition, Xsolis AI has strict policies and procedures in place to ensure that its employees are trained in best practices for protecting patient data and maintaining confidentiality.

Q: What kind of customer support does Xsolis AI offer?

A: Nashvillebased Xsolis Ai Silicon Valley offers a range of customer support services to help healthcare providers integrate and optimize its healthcare technology solutions. This includes training, implementation, and ongoing support services, as well as a comprehensive online knowledge base and 24/7 technical support. The company’s support services are designed to ensure that clients can effectively integrate and optimize its technology solutions for maximum impact.

Q: What are the benefits of using Xsolis AI?

A: There are several benefits of using Xsolis AI’s healthcare technology solutions:
  1. Cost savings: Xsolis AI’s solutions can help healthcare providers reduce costs by optimizing patient care, reducing waste, and improving efficiency.
  2. Improved patient outcomes: Xsolis AI’s solutions provide real-time insights into patient care and utilization patterns, enabling providers to identify areas for improvement and intervene earlier to prevent complications and improve outcomes.
  3. Increased revenue capture: Xsolis AI’s solutions can help healthcare providers identify and capture missed revenue opportunities, improving financial performance.
  4. Enhanced data analytics: Xsolis AI’s solutions leverage advanced analytics and artificial intelligence to analyze large amounts of data in real-time, providing healthcare providers with valuable insights into their operations and patient care.
  5. Seamless integration: Xsolis AI’s solutions are designed to integrate seamlessly with existing healthcare systems and workflows, minimizing disruption and maximizing impact.
  6. Improved patient satisfaction: Xsolis AI’s solutions can help healthcare providers provide more personalized and effective care, leading to improved patient satisfaction and loyalty.

Overall, Xsolis AI’s healthcare technology solutions are designed to help healthcare providers optimize patient care, reduce costs, and improve outcomes, making healthcare more accessible, affordable, and effective for patients and providers alike.

Q: About nashvillebased xsolis ai 75mstinnett silicon.

A: Nashvillebased Xsolis AI 75MSTinnett Silicon is a venture capital firm that has invested in the startup Xsolis AI, which is focused on revolutionizing healthcare data analysis and engagement. The venture capital firm provides their portfolio companies with the capital and resources needed to scale their businesses and succeed.

Conclusion

In conclusion, Xsolis AI is a healthcare technology company that offers advanced analytics and artificial intelligence solutions to healthcare providers. Its technology solutions are designed to help providers optimize patient care, reduce costs, and improve outcomes.

Xsolis AI’s solutions provide real-time insights into patient care and utilization patterns, enabling providers to identify areas for improvement and intervene earlier to prevent complications and improve outcomes. The company’s solutions can also help healthcare providers reduce costs, increase revenue capture, and improve data analytics.

Xsolis AI’s solutions are designed to integrate seamlessly with existing healthcare systems and workflows, minimizing disruption and maximizing impact. The company is committed to maintaining the highest standards of privacy and security protection for patient data and offers comprehensive customer support services to help healthcare providers integrate and optimize its healthcare technology solutions.

Overall, Xsolis AI is a leading healthcare technology company that is helping to make healthcare more accessible, affordable, and effective for patients and providers alike.

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AMD-Powered Frontier Supercomputer Breaks the Exascale Barrier, Now Fastest in the World

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AMD-Powered Frontier Supercomputer top500 us amd powered japan fugaku alcorn tom's hardware

That’s great news! The achievement of breaking the exascale barrier and becoming the fastest supercomputer in the world is a significant milestone for the field of high-performance computing. The AMD-powered Frontier supercomputer, which is based at the Oak Ridge National Laboratory, has been designed to deliver groundbreaking research in a range of fields, including energy, climate, and human health.

The Frontier supercomputer is powered by over 700,000 AMD EPYC CPU cores and over 1000 AMD Radeon Instinct GPUs, delivering a peak performance of 1.5 exaflops (or one quintillion calculations per second). This level of computing power will enable researchers to tackle some of the world’s most complex problems, from understanding the mechanisms of disease to developing more efficient and sustainable energy sources.

The AMD EPYC CPUs and Radeon Instinct GPUs are designed to work together seamlessly, delivering a powerful and flexible platform for scientific computing. With the ability to process massive amounts of data quickly and accurately, top500 us amdpowered japan fugakualcorn tomhardware Frontier will be a game-changer in many areas of research.

Overall, the breakthrough achieved by the Frontier supercomputer is a significant step forward in the field of high-performance computing, and it is exciting to see what new discoveries and advancements will be made possible by this cutting-edge technology.

  • Processors: Over 700,000 AMD EPYC CPU cores
  • GPUs: Over 1000 AMD Radeon Instinct GPUs
  • Peak Performance: 1.5 exaflops (one quintillion calculations per second)
  • Memory: 2.7 petabytes of total system memory (both CPU and GPU memory combined)
  • Storage: Over 100 petabytes of usable high-performance storage
  • Interconnect: Cray Slingshot interconnect with up to 1.6 terabytes per second of bandwidth per node
  • Power: 30 megawatts of power capacity
  • Operating System: A custom version of Red Hat Enterprise Linux

The combination of AMD EPYC CPUs and Radeon Instinct GPUs provides a powerful computing platform that can handle a wide range of workloads, from machine learning and artificial intelligence to modeling and simulation. The Cray Slingshot interconnect ensures high-speed data transfer between the CPUs and GPUs, while the large amounts of memory and storage make it possible to work with massive datasets.

Overall, the Frontier supercomputer is a highly advanced system that represents a significant leap forward in high-performance computing. It is designed to deliver groundbreaking research in a variety of fields, from energy and climate to human health and beyond.

Frontier Supercomputer Processor.

The AMD-powered Frontier supercomputer uses over 700,000 AMD EPYC CPU cores as its main processor. The specific model of EPYC CPU used in the Frontier supercomputer is not publicly disclosed, but it is likely to be one of the latest generations of AMD’s EPYC processors, which are designed for high-performance computing workloads.

AMD’s EPYC processors are based on the Zen architecture and are known for their high core count, high memory bandwidth, and strong performance in a variety of workloads. They are particularly well-suited for scientific computing, machine learning, and other data-intensive tasks that require a lot of computational power. The EPYC processors used in the Frontier supercomputer are likely to be customized to meet the specific requirements of the system, such as high memory bandwidth and low latency.

Overall, the use of AMD EPYC CPUs in the Frontier supercomputer is a key factor in the system’s ability to deliver groundbreaking research in a wide range of fields. With over 700,000 CPU cores working together, the Frontier supercomputer is capable of processing massive amounts of data and running complex simulations at unprecedented speeds.

Frontier Supercomputer Ram

The Frontier supercomputer has a total system memory of 2.7 petabytes, which is a combination of both CPU and GPU memory. The specific amount of RAM per node is not publicly disclosed, but it is likely to vary depending on the specific configuration of each node.

It’s worth noting that the AMD EPYC processors used in the Frontier supercomputer support high memory bandwidth and can address large amounts of memory, which is critical for scientific computing workloads that involve processing and analyzing large datasets.

The AMD Radeon Instinct GPUs used in the Frontier supercomputer also have high-bandwidth memory (HBM2) directly attached to the GPU, which provides high-speed access to data and helps to reduce data transfer bottlenecks between the CPU and GPU.

Overall, the large amount of memory in the Frontier supercomputer, combined with its high-performance CPU and GPU processors, makes it possible to work with massive datasets and run complex simulations at unprecedented speeds.

Frontier Supercomputer Storage

The Frontier supercomputer has over 100 petabytes of usable high-performance storage. The storage system is based on a high-speed parallel file system designed to provide high throughput and low latency for data-intensive workloads. The specific storage system used in the Frontier supercomputer is not publicly disclosed, but it is likely to be a custom solution designed to meet the specific requirements of the system.

The high-performance storage in the Frontier supercomputer is critical for scientific computing workloads that involve processing and analyzing large datasets. With over 100 petabytes of storage, researchers can store and analyze massive amounts of data generated by simulations, experiments, and other scientific activities.

Overall, the combination of high-performance storage, high-memory bandwidth, and high-speed CPU and GPU processors makes the Frontier supercomputer a powerful platform for scientific computing that can handle the most demanding workloads.

AMD El Capitan.

AMD El Capitan is a high-performance computing (HPC) system that is currently under development for the Lawrence Livermore National Laboratory (LLNL) in the United States. The system is being designed in collaboration with AMD, Cray (now part of Hewlett Packard Enterprise), and the U.S. Department of Energy.

Once completed, AMD El Capitan is expected to be one of the world’s fastest supercomputers, with a target performance of over 2 exaflops (two quintillion calculations per second). The system will be powered by the latest generation of AMD EPYC CPUs and Radeon Instinct GPUs, and will be built using Cray’s Shasta architecture and Slingshot interconnect technology.

The AMD EPYC CPUs and Radeon Instinct GPUs in the El Capitan system are expected to deliver industry-leading performance in a range of workloads, including scientific computing, machine learning, and data analytics. The system will be used by researchers and scientists at LLNL to perform simulations and modeling across a wide range of fields, including energy, climate, and national security.

Overall, AMD El Capitan represents a major step forward in high-performance computing and is expected to deliver groundbreaking research and insights into some of the world’s most complex problems. The system is scheduled to be delivered in 2023, and its performance is expected to continue pushing the boundaries of what is possible in scientific computing.

Frontier Supercomputer Release Date.

The Frontier supercomputer is currently under development and is expected to be delivered to the Oak Ridge National Laboratory in Tennessee, USA in 2021. The system is then expected to undergo acceptance testing and tuning before being made available for use by researchers and scientists.

The Frontier supercomputer is a collaborative project between the US Department of Energy, Oak Ridge National Laboratory, AMD, and Cray (now part of Hewlett Packard Enterprise), and is expected to be one of the world’s most powerful supercomputers when it becomes operational.

The system is being designed to support a wide range of scientific computing workloads, including simulations and modeling in areas such as materials science, chemistry, and astrophysics. The large amount of computing power and memory in the system is expected to enable researchers to tackle some of the world’s most complex problems and make breakthroughs in a variety of fields.

Overall, the Frontier supercomputer is an exciting development in the world of high-performance computing and is expected to deliver groundbreaking research and insights into a wide range of scientific fields.

Pros And Cons.

Pros:
  • The Frontier supercomputer is expected to be one of the fastest supercomputers in the world, providing researchers and scientists with unprecedented computing power to tackle complex problems.
  • The system is designed to support a wide range of data-intensive workloads in areas such as materials science, chemistry, and astrophysics.
  • With a total system memory of 2.7 petabytes and over 100 petabytes of high-performance storage, the Frontier supercomputer is well-suited to handle large datasets and complex simulations.
  • The collaboration between AMD, Cray, and the US Department of Energy has resulted in a powerful and innovative system that will push the boundaries of what is possible in scientific computing.

Cons:

  • The development and operation of supercomputers such as Frontier is very expensive and requires a significant investment of resources.
  • The high energy consumption and cooling requirements of such systems can have a significant impact on the environment and contribute to climate change.
  • The complexity of the system and the software required to run on it can make it challenging for researchers and scientists to use effectively, requiring specialized expertise and training.
  • The high-performance computing market is highly competitive, and other companies and countries are also investing in the development of powerful supercomputers, which could diminish the competitive advantage of the Frontier system in the future.

Conclusion.

The Frontier supercomputer, powered by over 700,000 AMD EPYC CPU cores and AMD Radeon Instinct GPUs, is a major milestone in high-performance computing. With a total system memory of 2.7 petabytes and over 100 petabytes of high-performance storage, the Frontier supercomputer is designed to support a wide range of data-intensive workloads in areas such as materials science, chemistry, and astrophysics.

The Frontier supercomputer is currently under development and is expected to be delivered to the Oak Ridge National Laboratory in 2021. Once operational, the system is expected to be one of the fastest supercomputers in the world and will be used by researchers and scientists to perform simulations and modeling across a wide range of fields.

In addition to the Frontier supercomputer, AMD is also working on the development of the El Capitan supercomputer, which is expected to be one of the world’s fastest when it becomes operational. These systems represent a major step forward in high-performance computing and are expected to deliver groundbreaking research and insights into some of the world’s most complex problems.

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