In a sport where tactics, terrain, weather, and timing all merge into one fluid contest, predicting the outcome of a cycling race can seem like guesswork.

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...

Mixture-of-Recursions (MoR) is a new AI architecture that promises to cut LLM inference costs and memory use without ...

Amazon India today announced the fifth edition of its flagship Machine Learning (ML) Summer School (MLSS), reinforcing its ...

As companies rush to adopt new AI solutions, business leaders must understand the different types and how AI compares to ML.Constantly Updated — The ...

XTEND, which has developed autonomous and human-guided drones for defense purposes, is growing U.S. and global production.

The AI in aviation market is expected to reach $4.86 billion by 2030, from $1.75 billion in 2025, with a CAGR of 22.6 percent ...

When someone starts a new job, early training may involve shadowing a more experienced worker and observing what they do ...

Techniques such as Raman spectroscopy, Fourier-transform infrared (FTIR) spectroscopy, nuclear magnetic resonance (NMR), and near-infrared (NIR) spectroscopy provide detailed biochemical fingerprints ...

Machine learning helps improve accuracy and efficiency of small-molecule calculations Microsoft researchers used deep learning to create new DFT model by Sam Lemonick, special to C&EN June 20, 2025 ...

In Recentive, the Federal Circuit acknowledged the growing significance of AI and machine learning and emphasized that its holding is limited to generic machine learning applications.

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing.