Medical imaging has become one of the most critical pillars of modern healthcare to provide insights into diagnosis, treatment planning, and disease management. However, the very success of imaging ...

Abstract: In order to reduce the time of neural network self-learning, it proposes an algorithm which combines genetic algorithm (GA) and neural network prediction together. Genetic algorithm is used ...

A British frontier artificial intelligence (AI) company is receiving backing from the government’s £500m Sovereign AI Fund, aiming to help UK startups grow. The company, called Ineffable Intelligence, ...

AI R&D runs on a cycle of hypothesis, experiment, and analysis — each step demanding substantial manual engineering effort. A new framework from researchers at SII-GAIR aims to close that bottleneck ...

Depression, one of the most widespread mental health disorders, is characterized by a persistent low mood and a loss of interest in everyday activities, along with possible sleep disruptions and/or ...

Self-evolving AI agents are reshaping how artificial intelligence systems learn and adapt, allowing them to autonomously refine their skills and performance over time. AI Jason explores the mechanisms ...

One-off projects can pay the bills, but they don’t always build a business. This is what freelancers need to do instead. Providing ongoing services like retainers, package deals and strategic ...

Humans are the species with both the greatest capacity for self-sabotage and the greatest capacity for learning. We see evidence of this constantly in everyday life and in world news. In this essay, I ...

The new reinforcement learning system lets large language models challenge and improve themselves using real-world data instead of curated training sets. Meta researchers have unveiled a new ...

A new technical paper titled “LongSight: Compute-Enabled Memory to Accelerate Large-Context LLMs via Sparse Attention” was published by researchers at Cornell University. “Large input context windows ...