Agregátor RSS

Over the weekend, Meta took the opportunity to launch Llama 4, a new series of AI models trained on a large amount of text, images and videos.

According to Meta, Llama 4 is better than its competitors GPT-4o and Gemini 2.0 in a number of areas, including programming, reasoning and language translation.

The two variants Llama 4 Scout and Llama 4 Maverick are available on Llama.com and Hugging Face now, while the top-of-the-line Llama 4 Behemoth will take a little longer.

Techcrunch points out that Meta has chosen to limit the use of the Llama 4 multimodal models within the European Union, likely due to the EU’s AI and data protection rules.

** Gemini už u Androidů umí přistupovat k obsahu displeje a k fotoaparátu ** Řekne vám, co jsou dané objekty zač, a další doplňující informace ** A také prozradí třeba to, které aplikace používáte v telefonu nejméně

The Computer Emergency Response Team of Ukraine (CERT-UA) has revealed a new set of cyber attacks targeting Ukrainian institutions with information-stealing malware. The activity is aimed at military formations, law enforcement agencies, and local self-government bodies, particularly those located near Ukraine's eastern border, the agency said. The attacks involve distributing phishing emails Ravie Lakshmananhttp://www.blogger.com/profile/[email protected]

Anthropic plans to add more than 100 roles across Europe, indicating a broader push to expand its global footprint amid rising demand for enterprise-ready AI tools.

The new roles will cover sales, engineering, research and business operations, with most hiring focused in Dublin and London, according to a Reuters report.

The company has also named former Stripe executive Guillaume Princen as its head of Europe, the Middle East, and Africa.

Last month, Anthropic raised $3.5 billion in funding. In February, it launched Claude 3.7 Sonnet, its most advanced model to date and the first to feature hybrid reasoning capabilities.

Targeting expansion and localization

Anthropic’s European hiring spree reflects its broader ambitions for global expansion – a move that mirrors a wider industry trend among well-funded AI firms, according to analysts.

“Every AI startup that has raised $1 billion is competing for global domination,” said Hyoun Park, CEO and chief analyst at Amalgam Insights. “Anthropic’s recent $3.5 billion round is no exception, as it seeks to be the leading model company for the Americas, Europe, Asia, and Africa. And to enable this growth, it makes sense that these European hires mainly focus on sales, marketing, and engineering.”

The company’s regional push also signals the growing importance of localization in AI development – especially as regional regulations and incentives shape how technology is built and deployed.

“Hiring locally in Europe could be to ensure that its offerings down the line are tuned to European requirements that may not fully align with that of the US – particularly related to AI governance,” said Abhishek Sengupta, practice director at Everest Group. “There could also be potential business incentives aligned to local operations as more and more countries announce funds for developing a local AI ecosystem.”

Implications on EU AI adoption

Beyond expansion, Anthropic’s growing presence in Europe may signal the start of direct competition with firms positioning themselves as regionally compliant AI providers.

Anthropic is “confronting” Cohere head-on, Park said, pointing out that the Canadian startup has been actively marketing itself as a European-based, EU-compliant alternative.

“But this market competition may be a gift in disguise, as the EU has been famously aggressive in attacking monopoly,” Park said. “Having anthropic more deeply focused on the EU may give more freedom for Cohere, OpenAI, Microsoft, Google, and other AI firms to be able to build business in what is perceived as a competitive market.”

For AI companies with global ambitions, building a meaningful presence in the EU is no longer optional. Park noted that Anthropic’s more deliberate and safety-focused approach may align better with the demands of highly regulated markets.

“It seems that in the immediate future, the US will be a country of less AI regulation where solutions such as Meta, OpenAI, and xAI may have an advantage,” Park added. “It also seems likely that the EU will be driving a lot of global first world AI policy in the near future, almost by default as other first world global centers are reluctant to define AI standards and governance.”

As generative AI continues to dominate technology news, the hype around AI PCs is growing. It’s easy to see the appeal of personal computers powerful enough to handle genAI processing tasks.

Offered by all the major PC vendors, AI PCs include hardware and software designed to accelerate AI workloads across the central processing unit (CPU), graphics processing unit (GPU), and neural processing unit (NPU). AI is primarily a server-side application, but AI PCs offload at least some of the processing to the client.

[ Related: More AI PC news and insights ]

But these are very early days for the AI PC market, and IT buyers may be cautious, wondering why they should invest in AI PCs when so many genAI tools are accessible through the web.

The short answer is you’re going to get them whether you want them or not, because all business PCs are headed in that direction. In time, AI features will be standard issue just like Wi-Fi and vPro are now. But that’s not the case just yet, so the question is whether to move ahead with AI PC purchases now or hold off until the market matures.

What AI PCs bring to the table

The primary argument for running AI applications on the desktop instead of in the cloud is increased privacy and security. Especially in highly regulated sectors like finance and healthcare, sensitive data might have to stay within the confines of your firewall, so you want to process it locally, not on a cloud provider’s servers.

Another key consideration is cost. Server-based AI processing is extremely expensive, costing anywhere from $50,000 to millions of dollars for in-house large language model (LLM) rollouts. Even using AI-as-a-service (AIaaS) can cost tens of thousands of dollars per month, and you have the aforementioned privacy and security concerns around sending your data to the cloud. Shifting part of the AI workload onto endpoint devices, including PCs, should reduce the need for server-based processing — and speed up response times as well.

AI PCs are more than a marketing gimmick — they are a means to improved productivity, argues Steve Long, senior vice president of Lenovo’s Intelligent Devices Group. “AI PCs give time back to the user,” he said. “Whether it’s generating marketing content, summarizing meetings, or streamlining workflows with apps like Microsoft 365 Copilot or Personal.ai, these devices handle the heavy lifting so teams can stay focused on higher-value work. The result is real productivity.”

AI PCs also have proactive and autonomous functions like real-time threat detection that runs on the device without slowing it down, he says, and they offer predictive maintenance, which helps IT stay ahead of failures.

Finally, Long says AI PCs make for a more personalized experience because these devices adapt to how you work, such as summarizing meetings in your tone, writing emails with M365 Copilot, or surfacing relevant insights using personal AI agents from previous projects.

“It’s like having a digital assistant who gets smarter every day and never sleeps, and because it all happens locally, it’s fast, secure, and tailored to you,” he said.

Should you buy AI PCs this year?

That’s the million-dollar question. New devices need a killer app to justify their purchase. The IBM PC didn’t take off as a business tool until Lotus 1-2-3 came out. AI PCs need their own must-have app.

Gartner predicts that by end of 2026, all PCs will be AI PCs, but not everyone will be using the AI features. “The use of on-device AI features as distinct from cloud-based will evolve more slowly, and enterprises are likely to phase them in over time, to ensure compliance rules are met. Therefore, Gartner estimates only around 24% of employees will use enhanced NPU capabilities by 2028,” said Ranjit Atwal, senior research director at Gartner.

Lenovo’s Long predicts it’s more likely to be 2027 or 2028 before every PC is an AI PC. “It is a little bit of the wild west of experimentations, with people trying to find the killer use case right now, both in enterprise and consumer,” he said.

Lacking a killer app, AI PCs are tough sell. They are not low-end devices. Atwal estimates the price difference between a standard business PC and an AI PC is $200 or more. Multiply that by dozens, hundreds, or even thousands of PCs and the cost really adds up — and for what?

AI vendors will argue that AI PCs provide future-proofing. Atwal does not. “If buyers don’t see the immediate value, they are not prepared to pay the premium,” he said. “Nobody pays for future-proofing, really — especially that amount — when you don’t know exactly what [the benefit] is.”

Another important factor for IT buyers: Windows 10 will reach end of support in October. Organizations with a fleet of Windows 10 PCs will either have to purchase extended support for those devices or upgrade their users to new Windows 11 devices.

If you’re shelling out for new PCs anyway, it might make sense to spend a little more for devices with AI capabilities. Indeed, a recent IDC survey of IT decision-makers from large firms around the world found that 80% of companies plan to deploy AI PCs in 2025.

One company that’s not waiting to jump into the AI PC pool is Transmission, a global B2B marketing and advertising agency. The firm is deploying the new devices companywide to get its staff familiar with AI tools now rather than later.

“We understand that this is the future, and we want to get them to start having some exposure to the tools, getting them familiar with how they can make better and quicker decisions for themselves, but also for clients,” said Jonathan Cocek, global analytics lead at Transmission.

“We’ve initially launched [Microsoft] Copilot onto everybody’s machine, and really it’s just trying to enable them to get them familiar with using AI, how to stay ahead of the curve.”

What to look for when purchasing AI PCs

If you decide to take the plunge with AI PCs now, the configuration choices you make will affect your users’ experience. So what should you look for? There are several checkboxes to fill.

1. An AI-ready processor. AI PCs are equipped with an NPU designed to speed up the processing of machine learning and deep learning tasks and optimized for operations like matrix multiplications, convolutions, and other types of computations commonly used in AI algorithms.

A NPU is part of the CPU and only found on the newest generations of CPUs:

• Intel Core Ultra (Meteor Lake generation)
• AMD Ryzen 7040 series
• Apple M-Series chips in Macs
• Qualcomm Snapdragon X Elite ARM-based chips for Windows AI PCs

2. Top TOPS performance. NPUs are measured by a benchmark called TOPS, or Tera Operations Per Second. TOPS means how many trillions of operations can be done in one second. Forget GHz and other numbers, TOPS is the measure to live by.

An AI PC has three processing units: the CPU, the GPU, and the NPU. The NPU is the most important, but the CPU and GPU also play a part. Intel’s Lunar Lake family of desktop processors have a TOPS rating of 120, which breaks down to 48 TOPS for the NPU, 67 TOPS for the GPU, and 5 TOPS for the CPU.

The NPUs in AMD’s Ryzen AI MAX series of processors have a TOPS rating of 50 — virtually tied with Intel — but AMD does not break out the CPU and GPU performance.

The one thing you can be certain of is that future generations of CPUs will feature considerably faster NPU performance. The generation of Intel processors prior to Lunar Lake featured a TOPS rating of only 10.

3. A good GPU. Business PCs often have integrated graphics on the CPU die, which are not very high performance. AI processors have much better performing GPUs than previous generations, but they are still no match for a discrete GPU. The only challenge is finding apps written to use the discrete GPU. A few exceptions like CAD/CAM software aside, most line-of-business applications don’t utilize the GPU.

But eventually AI apps will be rewritten to utilize the discrete GPU, because discrete GPUs for gaming have incredible TOPS performance. Nvidia’s new top-of-the-line RTX 5090 has a TOPS rating of 3350, for example. It also costs $4,100. Should you decide to go with a discrete GPU from either AMD or Nvidia, the rule of thumb is that the higher the model number, the faster and newer it is.

4. Lots of memory. With traditional PCs, most business users can get away with 8GB of system memory, especially if they use a lot of SaaS apps and live in their browser. But if your employees are going to do AI processing, they’re going to need a lot more memory — 16GB, if not 32GB or even 64GB, depending on the size of the model.

5. Integrated AI software. PCs should be compatible with AI frameworks such as TensorFlow and PyTorch and tools like Windows Studio Effects, Adobe Firefly, and other useful AI applications. Software vendors continue to optimize their applications to leverage local AI processing, so having hardware that supports standard tools and frameworks is critical to accelerate AI-enabled apps. 

Americký výrobce letadel Epic Aircraft představil počátkem dubna na výstavě Sun ‘n Fun Aerospace Expo svůj nový model E1000 AX, který se může pochlubit systémem Garmin Autoland . Toto vybavení umožňuje letounu automaticky přistát v případě, že pilot z nějakého důvodu není schopen řídit. K aktivaci ...

Intel is reportedly in advanced discussions with TSMC to form a joint venture that could potentially reshape the future of the x86 platform and the global semiconductor landscape.

Under a proposed deal, TSMC would take a 20% stake in a new entity operating Intel’s chipmaking facilities, in exchange for training Intel personnel in its industry-leading manufacturing processes, according to The Information. 

The move — initiated in part by the US government — marks a potential turning point for Intel, which has struggled in recent years to keep up with rivals in advanced chip production.

If finalized, the partnership could allow Intel’s new CEO, Lip-Bu Tan, to double down on chip design innovation while offloading manufacturing operations to the Taiwanese foundry giant.

For enterprise tech buyers, the implications could be far-reaching, touching everything from processor roadmaps and platform stability to supply chain sovereignty and pricing.

But the proposal is reported to be already generating internal resistance at Intel and raising questions about layoffs, equipment overhauls, and the fate of its manufacturing IP issues that could reshape how enterprise customers view their long-term relationship with one of the most iconic names in computing.

Long-term strategic implications

Analysts say the move marks a turning point for Intel and its enterprise customers. Once seen as a vertically integrated leader, the company has struggled in recent years to maintain that position.

“Intel’s foundry business has struggled to meet expectations – most notably failing to deliver the level of technical service, predictability, and yield quality that external customers expect,” said Sanchit Vir Gogia, chief analyst and CEO at Greyhound Research. “Several deals have seen missed milestones and failed test runs, particularly when benchmarked against TSMC’s operational excellence.”

This brings in concerns that Intel is pulling back from manufacturing, signaling a deeper shift in its ability to control its technology stack and maintain supply chain reliability.

“In such a case, they can invest in R&D and catch up on AI processors as well as power-efficient laptop processors,” said Faisal Kawoosa, founder and lead analyst at Techarc. “Intel is facing competition from Nvidia in AI and from Qualcomm, MediaTek, and Apple Silicon on the PC side.”

However, for enterprise buyers, this changes the calculus, Gogia said, pointing out that many chose Intel precisely because of its internal alignment between design and manufacturing – a one-stop shop that offered tighter integration and faster troubleshooting.

Data from Greyhound’s research indicates that 62% of enterprise technology leaders continue to value tight integration between Intel’s chip design and manufacturing. However, that support is weakening amid growing concerns over Intel’s manufacturing performance.

“We’re still loyal to Intel, but we’ve learned to build fallback scenarios. We can’t afford surprises anymore,” one US-based CIO told Greyhound in a recent fieldnote.

A full exit from in-house manufacturing is unlikely, according to Neil Shah, partner and co-founder at Counterpoint Research. Instead, the joint venture may be a way for Intel to protect and stabilize its foundry business.

“If it is able to protect its foundry business, Intel has to manufacture its own chips in the fab to help with the fab’s scale alongside producing chips for other customers,” Shah said. “What could actually happen is Intel could diversify its design beyond x86 by adopting newer architecture which will also give Intel more experience to compete against and alongside Arm-based PC chipset vendors such as Qualcomm, Apple, and AMD in this AI PC race.”

More concerns for enterprise buyers

A JV with TSMC offers clear advantages to Intel, including higher yields, faster time-to-market, and mature processes on advanced nodes. If Intel gains access to these capabilities, customers could see more competitive chips for AI and high-performance computing.

“But this benefit comes with layers of complexity,” Gogia said. “For one, Intel’s foundry operations are still in recovery mode. The business posted a $7 billion operating loss in 2023 – the first such loss since 1986. Attempts to scale it for external customers have struggled, largely due to inconsistent service delivery and a lack of maturity in handling complex customer requirements.”

Outsourcing to TSMC could address Intel’s manufacturing issues but complicates accountability. Customers may have to navigate supply chains spanning multiple firms and countries, with unclear responsibility in the event of defects, delays, or shortages.

“Intel’s restructuring could cause short-to-midterm disruptions, including potential product delays and shifts in support models,” said Manish Rawat, semiconductor analyst at Techinsights. “Additionally, even with US-based manufacturing, Intel’s deeper integration with TSMC still ties part of its supply chain to Taiwan – raising geopolitical and continuity concerns for security-sensitive customers.”

For Intel’s foundry to succeed – and for the US to maintain supply chain security and tech sovereignty – major chipmakers will need to shift some orders from Taiwan to the US, a move likely to drive up chip costs.

“While the US government’s CHIPS Act may help offset higher costs through subsidies, achieving Taiwan-level scale remains a near- to mid-term challenge, potentially driving up IT and electronics product costs for enterprises unless absorbed,” Shah said. “However, this move would safeguard US enterprises from future supply disruptions.”

Jestliže vám minulý týden utekla akce na sadu AlzaTools Precision Repair s 52 nástroji na opravu drobné elektroniky, největší český e-shop zlevnil jiný set své privátní značky. Tentokrát nabízí AlzaPower ToolKit TK1060 jen za 419 Kč při využití slevového kódu ALZADNY40 . Tady nejsou žádná páčidla ...

A recently disclosed critical security flaw impacting CrushFTP has been added by the U.S. Cybersecurity and Infrastructure Security Agency (CISA) to its Known Exploited Vulnerabilities (KEV) catalog after reports emerged of active exploitation in the wild. The vulnerability is a case of authentication bypass that could permit an unauthenticated attacker to take over susceptible instances. It hasRavie Lakshmananhttp://www.blogger.com/profile/[email protected]

Japonská společnost Rapidus, která investuje do vysoce automatizované polovodičové továrny, jež by měla nabídnout pokročilý 2nm proces, nepochybuje o zahájení velkokapacitních dodávek roku 2027…

Konsorcium více než padesáti čínských společností navrhlo nové rozhraní GPMI (General Purpose Media Interface) pro přenos obrazu, zvuku, dat a napájení, které má ambici nahradit HDMI nebo DisplayPort. Mezi členy Shenzhen 8K UHD Video Industry Cooperation Alliance jsou i firmy jako Huawei, Hisense ...

** Lenovo mění léta zažitý design ThinkPadu. ** Dotykový OLED a tichý chod při práci oceníte. ** Výkon pro kancelář stačí, v plné zátěži se ukážou slabiny.

Ford se rozhodl oprášit dávno zapomenutý řidičský rituál a vdechnout ho svým elektromobilům – alespoň naoko. Nechal si totiž patentovat zařízení Shifter Assembly For Electric Vehicle, které v autech na elektrický pohon simuluje pocit z manuálního řazení . Na první pohled to vypadá jako klasická ...

V posledních dnech se množí statistiky, které nevypadají pro Intel příliš dobře, přinejmenším v retail segmentu. Podíl AMD podle Amazonu stoupl na téměř 80 %-

Google has shipped patches for 62 vulnerabilities, two of which it said have been exploited in the wild. The two high-severity vulnerabilities are listed below - CVE-2024-53150 (CVSS score: 7.8) - An out-of-bounds flaw in the USB sub-component of Kernel that could result in information disclosure CVE-2024-53197 (CVSS score: 7.8) - A privilege escalation flaw in the USB sub-component of Kernel Ravie Lakshmananhttp://www.blogger.com/profile/[email protected]

How will 'gutting' civilian defense agency make American cybersecurity great again?

Analysis  Slashing staff at the US govt's Cybersecurity and Infrastructure Security Agency, aka CISA, and scrapping vital programs, isn’t exactly boosting national security, say infosec and national security officials watching America’s digital defenses unravel in real time.…

Reliability, honesty, accuracy. And then there's this lot

Oracle has briefed some customers about a successful intrusion into its public cloud, as well as the theft of their data, after previously denying it had been compromised.…

GeoVision GV-ASManager 6.1.0.0 - Information Disclosure

Sony XAV-AX5500 1.13 - Firmware Update Validation Remote Code Execution (RCE)