In the last two decades, mass digitization has dramatically changed the landscape of scholarly research. The ability to ...

In the last two decades, mass digitization has dramatically changed the landscape of scholarly research. The ability to search digital transcriptions of sources for specific keywords saves valuable ...

Watching last week’s Grok 4 release, one statistic stood out to us. XAI said it spent 10 times as much computational power on ...

Machine learning is an integral part of high-stakes decision-making in a broad swath of human-computer interactions. You ...

A research team affiliated with UNIST announced the successful development of a novel semiconductor device that uses a new ...

This paper provides a thorough analysis of distributed learning techniques, including federated learning (FL), multi-agent reinforcement learning (MARL), and the multi-agent federated reinforcement ...

That is roughly 50x faster than the previous best (SiLVIA). The robot was also able to walk on rough terrain and climb steps outdoors successfully. The robot can learn how to recover from slipping, ...

Researchers have developed an Artificial Intelligence (AI) system that enables a four-legged robot to adapt its gait to ...

In an era driven by data-intensive ecosystems and cloud-native software innovation, the need for robust, secure, and ...

Existing recommendations based on machine learning are mainly based on supervised learning. However, these methods affected by historical behavior often bring great difficulties on mining high-quality ...

Reinforcement Learning does NOT make the base model more intelligent and limits the world of the base model in exchange for early pass performances. Graphs show that after pass 1000 the reasoning ...

Explore the hidden trade-offs of reinforcement learning in AI and why base models might hold the key to true intelligence.