A new study reveals that top models like DeepSeek-R1 succeed by simulating internal debates. Here is how enterprises can harness this "society of thought" to build more robust, self-correcting agents.

Progress will come from systems that can combine language understanding with explicit spatial and structural reasoning.

Moonshot AI’s Kimi K2.5 Reddit AMA revealed why the powerful open-weight model is hard to run, plus new details on agent ...

Atmos reports on the fashion industry's profound waste problem, driven by overproduction and overconsumption, harming global ...

Most career advice assumes work is linear and predictable. For Disabled people, that assumption rarely holds true.

The system still runs on an operating model set up in 1958, and a public safety working group says it hinders emergency ...

India’s AI policy debate keeps returning to a comforting success story: UPI. If state-led scale worked for payments, why not ...

A new computational method converts Hi-C chromosome contact data into realistic 3D models. Using experimental data alone, it ...

Supercomputing has shifted into the mainstream, with recent AI advancements and adoption making the use of massive amounts of ...

Federal regulators reopen scrutiny of the Mazda CX-90 after post-recall steering complaints ...

Polluted air causes an estimated 7 million deaths worldwide each year, according to the World Health Organization. Much of ...

BMIC offers quantum-resistant wallet protection with secure staking and payments. The presale price is $0.049474 with deflationary token burns ahead.