Researchers have built AI systems capable of steering targeted brain circuits in real time, moving neuroscience closer to precise, closed-loop control of neural activity. These tools pair machine ...

"Alpha Trend" combines deep reinforcement learning (DRL) with quantitative algorithms, integrating analytical tools such as moving averages, Bollinger Bands, and ATR to identify short-- to ...

Discover how space debris tracking technology, automated satellite collision avoidance systems, and active debris removal missions prevent Kessler syndrome and protect orbiting spacecraft.

For decades, one of fusion energy’s hardest problems has been keeping superheated plasma from blasting holes in reactor walls. A United States team working on the DIII-D tokamak now reports using ...

Minimax M2.5 lists $0.30 per million input tokens and $2.40 output on the lightning tier, helping builders plan predictable AI spend.

Microgrids play a growing role in modern power systems, supporting renewable integration, local resilience, and decentralized ...

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...

From Deep Blue to modern AI, how chess exposed the shift from brute-force machines to learning systems, and why it matters AI ...

Implementing AI solutions in 5G networks can drastically slash energy emissions and accelerate progress toward critical ESG ...

Predictive maintenance and digital twin technologies use real-time aircraft data and advanced analytics to help MROs increase ...