Agregátor RSS

The ongoing shift from generative AI (genAI) to agentic AI provides an opportunity for enterprises to move to more nimble and less expensive forms of computing, according to analysts.

Early AI models were largely built on expensive GPUs from Nvidia and AMD that offered raw processing power. But newer agentic AI tools, rooted in business process and workflow management, can run on more efficient, cost-effective hardware.

As a result, IT decision-makers who still think they require GPUs for anything AI-related need to reconsider their hardware options in terms of both cost and capabilities, analysts said.

“A better way of thinking about this is the cost of AI compute and now agentic AI platform services or systems,” said Leonard Lee, principal analyst at Next Curve. “’AI computing’ or ‘accelerated computing’ has clearly transcended the GPU as an inference accelerator.”

The new hardware options include CPUs and specialized AI chips, also known as ASICs in semiconductor parlance. Although these chips have been around for years, they are now showing real utility as agentic AI goes mainstream.

For one, the CPU — the main chip in any computer — is seeing something of a revival. “The CPU is reinserting itself as the indispensable foundation of the AI era. The CPU now serves as the orchestration layer and critical control plane for the entire AI stack,” Lee said.

CPUs are both power efficient and well-suited for AI on the edge, although specialized low-power chips are more capable depending on the task, said Jim McGregor, principal analyst at Tirias Research. “It will still be more efficient to use an ASIC instead of a CPU, and in most cases it will be less expensive over the life of a platform,” he said.

The growth of inference provides an opening for optimized AI accelerators, which can handle those jobs more efficiently than GPUs, said Mike Feibus, principal analyst at FeibusTech. “…The relative importance of [the] CPU is rising.”

Nvidia — sensing that it needed a low-power chip beyond its power-hungry GPUs — has already introduced an ASIC for inferencing in its hardware stack. And it recently licensed AI chip technology from Groq for $20 billion.

Because Agentic AI involves a different computing model than genAI training on GPUs, enterprises need to consider the hardware options and pricing models available through cloud providers. “It’s more about model management than about model building — and the CPU is critical in providing workflow management,” said Jack Gold, principal analyst at J. Gold Associates.

Pricing variations continue to be an issue. Straight CPU compute is not billed the same as heavy GPU use, making it difficult to nail down costs, Gold said. “GPUs in training use more electricity generically due to near 100% utilization in a training workload, whereas in general-purpose compute, servers and CPUs run more like 40% to 60% utilization,” he said. “But it’s highly variable depending on what the agent is doing.”

Gold predicts that 80% to 85% of AI workloads will move to inference in the next two to three years, especially as tools become more agentic. (Inference means moving away from GPUs, which are better used for training, to CPUs, which are more efficient for simpler AI tasks.)

“CPUs take on a major significance in making everything work. It’s why all the hyperscalers are now loading up on CPUs, not just GPUs,” Gold said.

Major cloud providers Google, Amazon and Microsoft , for instance, have their own CPUs and low-power ASICs for inferencing.

What looks at the moment like a resurgence in CPU demand is actually pointing to a larger issue: the growing complexity of AI infrastructure, said Gaurav Shah, vice president of business development and strategic partnerships at NeuReality.

The overhead around data movement, orchestration and networking is exploding, Shah said. “That’s what’s driving demand — not CPUs doing more AI, but systems struggling to keep up with AI,” Shah said.

Beyond enterprises, genAI companies, AI-native companies and neoclouds all will need to rethink their architecture. “The winners will be the architectures that deliver the most inference per watt, not the most cores per server,” Shah said.

Cybersecurity researchers have disclosed details of a critical security vulnerability impacting GitHub.com and GitHub Enterprise Server that could allow an authenticated user to obtain remote code execution with a single "git push" command. The flaw, tracked as CVE-2026-3854 (CVSS score: 8.7), is a case of command injection that could allow an attacker with push access to a repository to achieve

Cybersecurity researchers have disclosed details of a critical security vulnerability impacting GitHub.com and GitHub Enterprise Server that could allow an authenticated user to obtain remote code execution with a single "git push" command. The flaw, tracked as CVE-2026-3854 (CVSS score: 8.7), is a case of command injection that could allow an attacker with push access to a repository to achieveRavie Lakshmananhttp://www.blogger.com/profile/[email protected]

Může strategie, ve které se na konflikt místo vojáků díváte pohledem mediků a lékařů v týlu, vůbec bavit? Je zachraňování životů stejně atraktivní jako jejich ničení? Přesvědčit vás o tom, že i správa polní nemocnice může být zábava, se pokouší česká hra Medix.

Češi si s digitálními technologiemi vedou lépe než většina Evropanů. Alespoň základní digitální dovednosti má podle dat Českého statistického úřadu sedm z deseti lidí a nad průměrem EU se pohybujeme také v používání internetového bankovnictví nebo online nákupů.

A cybercrime group of Brazilian origin has resurfaced after more than three years to orchestrate a campaign that targets Minecraft players with a new stealer called LofyStealer (aka GrabBot). "The malware disguises itself as a Minecraft hack called 'Slinky,'" Brazil-based cybersecurity company ZenoX said in a technical report. "It uses the official game icon to induce voluntary execution,

A cybercrime group of Brazilian origin has resurfaced after more than three years to orchestrate a campaign that targets Minecraft players with a new stealer called LofyStealer (aka GrabBot). "The malware disguises itself as a Minecraft hack called 'Slinky,'" Brazil-based cybersecurity company ZenoX said in a technical report. "It uses the official game icon to induce voluntary execution, Ravie Lakshmananhttp://www.blogger.com/profile/[email protected]

Fleet, the independent, open-source, multi-platform MDM service, recently announced its new partner program for VARs and MSPs serving enterprise customers and recruited MobileIron co-founder Suresh Batchu to serve on the company’s board. With those moves in mind, I caught up with company CEO Mike McNeil to find out more about the Fleet’s plans.

Given the company’s roots in open source, working with partners is a good way to enable it to support a variety of enterprise needs, with resellers and MSPs playing an active role in customizing the core solution for those requirements.

Fleet and the Mac

Fleet is just as happy managing Macs as it is Linux systems and integrates well with existing tools — as long as they support open standards and APIs. This gives it a unique insight into Apple device adoption in the enterprise.

McNeil confirmed that both Apple and Linux systems are seeing rapid increases in deployment. “The new MacBook Neo is now cheaper than comparable PCs, so Apple adoption is increasing, but so are other OS options like desktop Linux,” he said. (Desktop Linux reached 3.16% market share in March, says StatCounter, while OS X hit 9.52% and Windows fell to 60.8%.)

That’s not to say migration to any platform is always easy. “I spoke to an IT director yesterday from a casino company whose team had bought a couple of Neos and tried enrolling them in Microsoft Intune, but gave up,” McNeil told me. This was because they hit an unrelated bug with their traditional MDM, didn’t have great diagnostics to work with, and the IT director then “assumed” that it must be because the Neo wouldn’t work for enterprise use. As it turns out, the issue was with the MDM, McNeil said.

“At Fleet, we’ve enrolled MacBook Neos ourselves with no problems, and seen customers do the same,” he said. “Enterprises are usually mixed OS environments, and [MDM] solutions limited to a single ecosystem, like Jamf that’s Apple only, are pretty restrictive.

Why partnerships matter

“Enterprises are very particular, and they often operate in vastly different ways,” said McNeil. “For example, there are many, many ways to automatically make sure employees can get on to a Wi-Fi network or a VPN on their first day at work.” 

Fleet, he said, works to balance needs between different parts of a company – infosec and IT, for example. “We optimize for baby steps, small iterations,” McNeil said, pointing out that new features are documented and explained as they are introduced.

“The first generation of device management was built for control and compliance,” said Batchu. “The next generation needs to be built for speed, automation, and how modern teams actually operate. Fleet is taking a fundamentally different approach with infrastructure as code and AI-driven workflows, and I’m excited to help shape that direction.

“In 2026, every company needs to do more with less.  Budgets are shifting towards AI and innovation, forcing leaders to extract more value from existing infrastructure. Some IT estates have been around for 20, 30, 35 years, and organizational structures, technical debt, and even entire jobs exist just to keep the lights on. But when you suddenly go from patching monthly to patching in hours, something has got to give.”

He argued that the adoption of a partnership model should help companies move through digital transformation with Fleet while maintaining tight budgets. Partners can help train employees and better understand the context of company need.

It’s also about making sure things are usable. Citing the “Concur” effect, which he describes as a product designed to satisfy high-level stakeholder requirements rather than the needs of those actually using the software, McNeil says he has a “personal vendetta” against complexity in software design.

What will enterprises need?

It’s a move to make every platform easy to manage using powerful tools optimized for the unique needs of customers. “By 2030, IT will need reliable infrastructure that works with the productivity and security tools they’re already using throughout their business.” IT and security teams won’t want separate platforms for each OS or function, and they’ll want to use chat to get projects started. 

AI is a constant. At least one current Fleet customer now has tens of thousands of computers running AI agents and recently gave each of its employees a headless “claw” — a powerful AI agent based on OpenClaw, the free, open-source AI agent software that is accessed via remote computers.

Fleet helps IT recognize the use of shadow AI tools across the business, as well as tracking other app installs, licenses, and use. “So whether you want to find out who’s using the Claude app, who’s using shadow AI tools they shouldn’t be using, or just how many extra, expensive Bloomberg terminal licenses you’re paying for that aren’t actually getting used, you can do that in Fleet, right from your MDM.” 

As McNeil sees it, the emerging AI services environment favors Linux for AI, with other platforms the province of human workers. “I don’t think we’ll see a world where most human users are running desktop Linux in five years, but I wouldn’t be surprised if Microsoft and Apple are neck and neck in the enterprise” by then,” he said.

You can follow me on social media! Join me on BlueSky,  LinkedIn, and Mastodon.

Díky smartphonům můžeme dnes fotit kdykoliv a kdekoliv • Při focení však děláme spoustu chyb • Toto jsou ty nejčastější, které dělají snad úplně všichni

Think about Linux security like the structural integrity of a building. Most information security best practices focus on the front door''locks, cameras, and ID badges. That's the "policy" layer. It's great for keeping people out, but it doesn't address what happens to the foundation if those locks fail.

A 19-year-old dual United States and Estonian citizen arrested in Finland earlier this month faces federal charges in the U.S. alleging he was a prolific member of the notorious Scattered Spider hacking collective. [...]

Application security company Checkmarx has confirmed that the LAPSUS$ threat group leaked data stolen from its private GitHub repository. [...]

OneDrive v testovací verzi podporuje synchronizaci milionu souborů. • Webová verze zavádí nový editor pro formát Markdown. • Na platformě macOS 26 nabízí přepracované prostředí ve stylu Liquid Glass.

Bylo oznámeno vydání Fedora Linuxu 44. Ve finální verzi vychází šest oficiálních edic: Fedora Workstation a Fedora KDE Plasma Desktop pro desktopové, Fedora Server pro serverové, Fedora IoT pro internet věcí, Fedora Cloud pro cloudové nasazení a Fedora CoreOS pro ty, kteří preferují neměnné systémy. Vedle nich jsou k dispozici také další atomické desktopy, spiny a laby. Podrobný přehled novinek v samostatných článcích na stránkách Fedora Magazinu: Fedora Workstation, Fedora KDE Plasma Desktop, Fedora Silverblue a Fedora Atomic Desktops. Vydán byl také Fedora Asahi Remix 44 pro Apple Silicon.

UPDATED Logistics technology company Pitney Bowes, which makes franking machines for US postage, is the latest scalp claimed by ShinyHunters and its ongoing spree of pay-or-leak attacks against major organizations. Data breach tracker Have I Been Pwned (HIBP) confirmed the breach on April 27, with 8.2 million unique email addresses included in the dump alongside names, phone numbers, and physical addresses. A smaller subset of the entire data trove pertained to company employment records, which included job titles. The Register contacted Pitney Bowes for more information. Attempts to reach its press-specific email addresses led to bouncebacks. Its investor relations contact is active, but did not immediately respond to our request. Pitney Bowes may not be a household name, but it's a substantial US-based tech firm producing shipping software and mailing technologies used in everyday shipping centers. The company claims more than 600,000 clients worldwide and posted $1.9 billion in revenue in 2025. ShinyHunters has been on a tear in recent weeks, with HIBP tracking and verifying the group's claims as they land. Confirmed cases include Grand Theft Auto developer Rockstar Games and physical security giant ADT, while the list of companies it claims to have attacked is considerably longer. In just the past week, the cybercrime collective has claimed responsibility for attacks on the likes of Udemy, Carnival Cruises, and the Asian Football Confederation, allegedly leaking tens of thousands of professional footballers' personal information and document scans. The Register asked the Asian Football Confederation for comment yesterday, though it has yet to respond. Prior to the latest wave of breaches, ShinyHunters was also behind the attacks on Match Group and Dutch telco Odido.  The group also told The Register in March that it accessed the data belonging to nearly 400 companies via a Salesforce breach.  Some of you may remember that ShinyHunters was also (partly) behind the sprawling attacks on Salesloft Drift last year – as it worked in tandem with other crime crews as Scattered Lapsus$ Hunters – and hundreds more Salesforce customers later in 2025. ® Updated to add on April 29, 2026: Pitney Bowes told The Register it had "identified unauthorized access to certain records in our Salesforce customer relationship management environment," on April 9th. It said the intrusion happened the night before and "resulted from a phishing attack that compromised an employee email account." The org told us: "We immediately secured the environment, revoked the compromised access, and engaged leading cybersecurity experts and law enforcement to support our investigation." It confirmed: "The affected records relate to business customer accounts and contacts. Our investigation has found no evidence that the activity extended into other Pitney Bowes systems, and no indication that sensitive personal data was accessed. We have notified affected business customers directly." Referring to the Shiny Hunters threats, it said: "We are aware of claims made by a threat actor regarding the potential release of data. We are actively investigating these claims in coordination with cybersecurity experts and law enforcement and will continue to monitor for any evidence of data exposure. "We have implemented additional access controls, expanded monitoring, and are conducting targeted employee training. We will update our customers on material developments as the investigation continues."

Names, phone numbers, physical addresses also included in Shiny Hunters alleged data dump

Updated  Logistics technology company Pitney Bowes, which makes franking machines for US postage, is the latest scalp claimed by ShinyHunters and its ongoing spree of pay-or-leak attacks against major organizations.…

Threat hunters are warning that the cybercriminal operation known as VECT 2.0 acts more like a wiper than a ransomware due to a critical flaw in its encryption implementation across Windows, Linux, and ESXi variants that renders recovery impossible even for the threat actors. The fact that VECT's locker permanently destroys large files rather than encrypting them means even victims who opt to

Threat hunters are warning that the cybercriminal operation known as VECT 2.0 acts more like a wiper than a ransomware due to a critical flaw in its encryption implementation across Windows, Linux, and ESXi variants that renders recovery impossible even for the threat actors. The fact that VECT's locker permanently destroys large files rather than encrypting them means even victims who opt to Ravie Lakshmananhttp://www.blogger.com/profile/[email protected]

AI long ago surpassed humans at games like chess and Go. Now it’s powering robots that can challenge top athletes.

Peter Dürr could barely follow the table-tennis ball as it zoomed across the net, each strike’s trajectory designed to perplex the opponent. This was no ordinary match: Taira Mayuka, one of the top players in the world, was on one side—on the other, was a robot called Ace.

Mayuka launched a twisting smash that should have nailed a point. But in the blink of an eye, Ace answered with a return that kept the game alive. “Yes!” Dürr pumped his fist, knowing his team had engineered a historic moment for robotics.

Sony AI’s Ace is the latest autonomous system to be pitted against humans in a game. Since Deep Blue defeated chess champion Garry Kasparov in 1997, AI has trounced humans in Jeopardy, Go, StarCraft II, and car-racing simulations.

Ace has now taken these virtual victories into the real world.

Up against seven top human players, the AI-controlled robot arm beat three in multiple adrenaline-pumping games. Ace is an “important milestone,” wrote Carlos H. C. Ribeiro and Esther Colombini at the Aeronautics Institute of Technology and University of Campinas, respectively, who were not involved in the study.

Ace joins a humanoid robot that crushed the world record for a half marathon in Beijing last week. Neither project is focused on creating elite robotic athletes. Their main goal is to build next-generation autonomous machines that operate fluidly in the physical world.

“We wanted to prove that AI doesn’t just exist in virtual spaces,” Michael Spranger, president of Sony AI, said in a press release. “It’s not just tech you interact with in the virtual world—you can actually have a physical experience, and the technology is ready for that.”

Fast and Furious

Robots have come a long way. The clumsy, bumbling humanoids are gone, replaced by agile machines that can navigate all kinds of terrain. Autonomous vehicles once baffled by our roads now cruise the streets. Dexterous robotic arms are increasingly used for surgery, warehouse operations, or even delivering your lunch.

AI is a big part of that leap in capability. Robots are no longer strictly preprogrammed machines. They can now learn, adapt, make decisions, with generative AI models helping them understand what they’re looking at and, increasingly, how to interact with it. They’re a little less like yesterday’s rigid machines, and more like curious kids: Taking in a messy world, figuring it out, and getting better over time.

But compared to humans, robots still struggle to react on the fly, especially in fast-paced games like table tennis. The sport is a brutal mix of speed, perception, and precision. Players must read the ball and strike in a split second. There’s no margin for error. Too much power or the wrong angle, and the ball flies off the table. Too predictable, and you’ve likely handed your opponent the next point.

Professional players can smash shots up to 67 miles per hour and impart “a massive amount of spin on the ball,” exceeding 160 rotations a second, Dürr told Nature, making it tough for rookie humans and robots to react in time.

To Dürr, building a robot that could compete with elite human players was a “dream project” that “would challenge us to push the individual component technologies to their limits.”

Give Me Your Best Shot

Ace seamlessly fuses AI-based software and hardware.

For its eyes, the team placed cameras outside the court that could cover the entire playing area and track the ball’s position about 200 times per second. They also used an event-based image sensor to capture the ball’s spin. Together, these give the “robot the information it needs to anticipate where the ball is going to go, and plan how to hit it back,” said Dürr.

All that data feeds into multiple AI algorithms: Ace’s “brain.” One of these algorithms, borrowed from image processing, focuses on key parts of each frame to increase processing speed. Another, a deep reinforcement algorithm, learned to play table tennis in simulated matches. (Think student and coach: The model decides how to swing, where to aim, and how hard to hit. The “coach” gives feedback—good or bad—without demonstrating any moves.)

“So basically, we shoot a ball in simulation at our robot and let it do random things. At the beginning, it doesn’t know how to react…But eventually, it maybe be lucky enough to hit the ball back on the table,” said Dürr. And over countless iterations, it improves its play.

Expert players coached Ace too. In table tennis, the initial toss sets up the serve. Ace learned from human demonstrations adapted to its mechanics, so every toss follows the game’s rules.

After thousands of simulated hours, and with the help of yet another algorithm to weed out poor plays, the team built a library of realistic serves for Ace to draw upon.

The last component was the arm itself—and off-the-shelf didn’t work. “There’s nothing on the market that would let us play at the level we wanted to play,” said Dürr. So they built their own robot from the ground up. The lightweight, six-jointed arm can whip a racket at over 20 meters (roughly 66 feet) per second and react roughly 11 times faster than a person.

All assembled, Ace is a table-tennis powerhouse—but not unbeatable. Against five elite and two professional players, it dominated the less-experienced elites but fell to the pros. In the months since the team wrote up their results, the robot continued improving against top-tier competition.

Ace didn’t win by simply being faster than humans. Rather, it won by being inventive. It created different kinds of spins, varied its returns, and consistently landed the ball on target. When Olympic table-tennis player, Kinjiro Nakamura, watched Ace play, he was mesmerized by the robot’s unconventional moves. “No one else would have been able to do that. I didn’t think it was possible,” he said. But if a robot can pull it off, maybe humans can too.

For Colombini, who worked on soccer-playing robots, that kind of agility and improvisation is the real goal. Robots need to think on their feet and easily navigate the physical world to work safely with people. “I need the skills and the abilities of these robots, learned in these environments that are easy for us to see how they are evolving,” she said. “So, sports are just a proxy for what we want.”

The post Sony’s Table-Tennis Robot Beat Elite Human Players With Unorthodox Moves appeared first on SingularityHub.