Stay updated with our most recent articles. Here, you’ll find the latest insights, research findings, and industry news in AI and technology.
A compact travel camera gets a fresh look after its October firmware update. We examine the lighter-kit appeal, stabilization, computational tools and buying limitations, including the silver body-only US offer.
MIT researchers used GPT-6 Astra to edit a small model’s weights and reduce repetitive reasoning. The results suggest a new role for AI as a repair assistant, while early replications show why fixing one failure is not the same as making a model better at everything.
Nintendo Switch 2 has a stronger game library for the 2026 holidays, but its $499.99 price makes the buying decision more complicated. Here is how the bundles, display, battery, storage and online costs change its value for new buyers and existing Switch owners.
Marvell’s proposed Lumentum acquisition puts a $115 billion enterprise value on a less visible part of the AI boom: moving data. The technical case depends on integrating optics, electronics and manufacturing, while customers still need proof of lower costs and reliable operation.
AI can find software vulnerabilities faster, but a repair protects nobody until it reaches the code people are actually running. New browser-security research exposes the distance between a public fix, a safe release, and a completed update. The next security advantage may depend as much on delivery and restarts as on stronger models.
Amazon, Microsoft and Meta are committing enormous sums to infrastructure, but their spending disclosures do not all measure the same thing. This earnings season, cash payments, lease commitments and cloud growth need to be separated before they become a verdict on AI’s future.
AI can improve the work a team delivers without proving that its people are becoming better at the job. New research on professional judgment and AI-intensive workplaces asks how companies can capture productivity gains while developing the experts they will still need.
Apple spent years watching its competitors refine foldable smartphones, promising to enter the market only when the technology met its standards. Days after the iPhone Duo launched, nearly identical screen failures and troubling evidence from its manufacturing supply chain have raised an uncomfortable question: what exactly did Apple learn from waiting?