Google quietly published a research paper on personalized semantics for recommender systems like Google Discover and YouTube.

A new theoretical framework argues that the long-standing split between computational functionalism and biological naturalism misses how real brains actually compute.

A “loop” is the pattern by which past decisions are reviewed, reinforced, or corrected. The process is very different for humans and machines. Machines have externally imposed boundaries, and we can ...

Released every 12 to 18 months, 3D NAND scaling outpaces most other semiconductor devices in replacement rate and performance ...

Working from home is great. Working from home and earning around $50 an hour is the dream, especially when you’re staring at ...

AI allowed Shein not just to outpace everyone but to rewrite the physics of trend creation itself. Yet Zara has managed to ...

AI data trainer roles have moved from obscure contractor gigs to a visible career path with clear pay bands and defined ...

Right now, the debate about consciousness often feels frozen between two entrenched positions. On one side sits computational functionalism, which treats cognition as something you can fully explain ...

Here’s the problem, and the challenge: customer ineptitude confers leverage on suppliers. Use it: suppliers can be heroes. Inactivity, indifference and a corporate shrug of the shoulders negate ...

From disaster zones to underground tunnels, robots are increasingly being sent where humans cannot safely go. But many of ...

Learn how recommendation algorithms, streaming recommendations, and social media algorithms use content recommendation ...

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...