Orthopedic surgeons are living in an era of unprecedented technological advancement. Robotic-assisted surgery, AI-driven ...

TCTMD spoke with Lior Jankelson, MD, PhD (NYU Langone Health, New York, NY), an electrophysiologist who leads the AI/machine ...

A Cornell University fellow develops strategies to extract more than correlations from algorithms’ predictions.

The hunt is on for anything that can surmount AI’s perennial memory wall–even quick models are bogged down by the time and energy needed to carry data between processor and memory. Resistive RAM (RRAM ...

BrainIAC analyzes brain scans across diseases, learns from minimal data, offers hope for rare condition diagnosis.

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...

Analysis Of Section 3(k) Of The Patents Act, 1970. Legal News and Analysis - India - Intellectual Property - Conventus Law ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

Researchers have successfully used a quantum algorithm to solve a complex century-old mathematical problem long considered impossible for even the most powerful conventional supercomputers. The ...

High-quality random number generators are required for various applications such as cryptography, secure communications, Monte Carlo simulations, and randomized algorithms. Existing pseudorandom ...

The proposal suggests implementing a shared random algorithm to eliminate Maximal Extractable Value (MEV) at the block level and distribute block construction more equitably across the network. An ...