Author: InfoForTech
To accelerate and refine decision-making in a fast-paced, global marketplace, enterprises may deploy generative artificial intelligence models to help summarize and interpret the charts that often fill market summaries and financial reports.But even the latest vision-language models sometimes struggle with this task, since it requires a model to integrate visual, numerical, and linguistic understanding. A company that invests in a state-of-the-art model might still receive inaccurate or incomplete information.To fill this performance gap, researchers from MIT and the MIT-IBM Computing Research Lab developed a multifaceted resource for AI users that is specifically designed to teach vision-language models (VLMs) how to…
The company is bringing AI agents to businesses on WhatsApp, Instagram and Messenger. Meta During Meta’s most recent earnings call, Mark Zuckerberg hinted that the company had big plans for AI agents. Now, we’re seeing the first part of those plans come to fruition. At the company’s Conversations event in London, Meta introduced AI agent tools for businesses that rely on WhatsApp, Instagram and Messenger. Officially called the “Meta Business Agent,” the new tool will allow business owners to delegate many of their everyday tasks, including interacting with customers and booking appointments. Meta says that the…
For most fitness trackers, customization starts and ends with buying a different strap. Google appears to have a much bigger vision for the Fitbit Air. The company has published detailed design guidelines, CAD files, and certification information that effectively invite creators, developers, brands, and hobbyists to build their own accessories for the ultra-lightweight health tracker. So, Google doesn’t just want third-party Fitbit Air bands to exist — it wants people to create them. The move is a fascinating departure from the tightly controlled accessory ecosystems that dominate the wearable tech landscape. If Google gets its way, Fitbit Air owners could…
Ravie LakshmananJun 03, 2026Vulnerability / Network Security Cybersecurity researchers have disclosed details of an unpatched issue that could be exploited to disclose a user’s NTLMv2 hash to the attacker. Like in the case of CVE-2026-33829, which impacted the Windows Snipping Tool’s ms-screensketch: URI handler, the newly flagged issue resides in the search: URI handler, per Huntress. CVE-2026-33829 refers to a spoofing vulnerability that could expose sensitive information to an unauthorized actor. It was patched by Microsoft in April 2026. “An attacker could induce the user into clicking a specially crafted link in a Web browser or other URL source, by…
Perplexity, an AI-powered search and answer engine, has a new way to turn personal devices into decentralized data centers. The company said Tuesday that it’s adding a new hybrid local-server system to Personal Computer, its AI agent that can work across files, apps and the web. Starting in July, the system will automatically decide which parts of a task should run directly on a user’s device and which should be sent to more powerful AI models in the cloud.A smaller model running locally could handle sensitive data and routine work locally, such as financial records, health information and personal files. More…
If you’re hunting for a new vacuum, Dyson has surely come up in one way or another. The brand is famous for its powerful vacuum cleaners, but its air power also extends to other parts of the home, including hair care and air purification. It’s a dream household staple; I lugged around an old Dyson vacuum for years until I could upgrade to one of the newer stick models rather than buying something that wouldn’t be as powerful or last as long.But the cost can make it a hard investment to make, even if it’s worth it. If you’re shopping…
AMD is aggressively reshaping local AI development with massive memory capabilities in its new Ryzen AI Halo platform and Max PRO processors, leaving competitors scrambling to match this raw power. Here in my home office in the high desert of Bend, Oregon, I regularly build around two to three desktop systems a year. It is a necessary, hands-on practice to keep a firm, tactile understanding of where PC hardware is heading, rather than relying solely on sanitized press releases and corporate roadmaps. When you are frequently up to your elbows in motherboards, cooling loops, and bare silicon, you notice the…
Sema4.ai Inc. a startup that provides tools for building and managing artificial intelligence agents, has announced a massive revamp of its platform, with big changes coming to every layer of the agent development stack. The refreshed platform will impact and improve everything from the way agents are built to how they capture and understand business context, and the way they’re deployed within customer’s computing environments. Sema4 first started getting attention last year when it raised $25 million in a Series A round of funding. It was founded by its Chief Executive Rob Bearden, who once held the same role at…
As AI becomes profitable, Jensen Huang claims companies are hiring more engineers Jensen Huang isn’t worried about AI taking your job. In fact, he thinks the opposite is happening. Speaking at Nvidia’s GPU Technology Conference (GTC) at Computex 2026 in Taipei—where thousands packed the venue, and 70 simultaneous watch parties broadcast across Taiwan—the CEO pushed back against concerns about AI-driven unemployment with a blunt dismissal. People talk about AI reducing jobs. Complete nonsense. It’s causing more software engineers to be hired. Jensen Huang His reasoning is straightforward. A software engineer who uses AI well can now produce the economic output…
The gap between what enterprise endpoint security platforms can do and what most organizations actually do with them is consistent across the industry. It is not a technology problem. The platforms carry the capability. The gap is program investment, operational discipline, and integration architecture.Security operations centers that extract full value from their endpoint detection and response programs share identifiable characteristics. Threat hunting runs on a defined schedule with structured hypotheses derived from current threat intelligence, not as ad-hoc activity when alert volume happens to be low. Automated response is tiered by detection confidence, not applied uniformly. Retrospective analysis runs against…