Expert London taxi drivers prioritize complex, non-local junctions during route planning, revealing unique cognitive strategies distinct from AI algorithms in large-scale real-world environments.

We recently published a list of 10 Undervalued Semiconductor Stocks to Buy According to Analysts. In this article, we are ...

Demis Hassabis is the CEO of Google DeepMind. Demis thinks new agent type systems will be able to perform additional tree of knowledge search to achieve ...

Explore how advanced smartphone chips with specialized AI capabilities, like NPUs and efficient memory, are revolutionizing on-device AI for faster, secure experiences.

Fujitsu FMV Note U laptop weighs 848g, features Intel Core Ultra, up to 32GB RAM, WiFi 7, and starts at $1375 in Japan.

The company’s Q4 revenue increased by 12%, and its operating profit rose by 15%, making for its best quarter ever, SK Hynix said in a statement. The company also announced that its revenue for the ...

Chip stocks including Nvidia and Arm fell Thursday after an Nvidia supplier, SK Hynix, spoke about uncertainty in semiconductor demand in 2025 on its earnings call.

While the presidential transition commanded headlines this week, equally significant shifts were occurring in AI technology. Just hours before Donald Trump’s inauguration, DeepSeek released its latest ...

Shares of Micron (NASDAQ:MU) are down about 3.5% on the day. About This Article  Shares of Micron are down about $4.50 on the day thanks to Nvidia supplier, SK Hynix. Granted, SK Hynix did post a ...

A new AI model, based on the PV-RNN framework, learns to generalize language and actions in a manner similar to toddlers by integrating vision, proprioception, and language instructions.

A study reveals that London taxi drivers prioritize complex and distant junctions during their initial "offline thinking" phase when planning routes, rather than sequentially considering streets.

Micron (NASDAQ: MU) makes memory chips and storage for phones and computers. However, these chips can also be used for data ...