Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

Prediction markets have gone mainstream. Now the mechanics that powered $44 billion in volume are spreading to stock picks, ...

With the rapid development of industrialization, large amounts of toxic and harmful gases such as NO2, CO, and NH3 are emitted during industrial ...

The Reality Check: Data centers are beginning to consume as much power as entire cities. We may see AI hubs springing up not ...

Offering trading infrastructure with a focus on execution quality, risk discipline, and proof from real trading ...

This is a guest post by Tim Allen, principal engineer at Wharton Research Data Services at the University of Pennsylvania, a member of the Readers Council and an organizer of the Philadelphia Python ...

OpenAI is reportedly planning a 60-second Super Bowl LX ad on Feb. 8, 2026, as AI rivals ramp up spending to win users, trust ...

Perovskite solar cells offer high efficiency & low cost, but complex structures limit modeling. A new Python simulator ...

Perovskite solar cells (PSCs) have emerged as promising alternative for next generation photovoltaics due to their superior power conversion efficiencies (record currently at 34.9% for ...

Ultralytics, the global leader in open-source vision AI, today announced the launch of Ultralytics YOLO26, the most advanced ...

Most organisations now use AI in at least one function to complete tasks quickly, accurately, and reliably. Many positions ...