In this episode of eSpeaks, Jennifer Margles, Director of Product Management at BMC Software, discusses the transition from traditional job scheduling to the era of the autonomous enterprise. eSpeaks’ ...

With the emergence of huge amounts of heterogeneous multi-modal data, including images, videos, texts/languages, audios, and multi-sensor data, deep learning-based methods have shown promising ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I continue my ongoing analysis of the ...

Diffusion models are widely used in many AI applications, but research on efficient inference-time scalability, particularly for reasoning and planning (known as System 2 abilities) has been lacking.

A recent paper published in Engineering titled “Machine Memory Intelligence: Inspired by Human Memory Mechanisms” explores a novel approach to AIby drawing inspiration from the human brain’s memory ...

MIT researchers have developed an 'instance-adaptive scaling' method that lets large language models dynamically adjust computational effort based on problem difficulty, improving efficiency without ...

The method includes, with a computing device, automatically determining an insight using uniquely identifiable data attributable to a unique entity and a reasoning graph. The reasoning graph includes ...

Researchers at Nvidia have developed a new technique that flips the script on how large language models (LLMs) learn to reason. The method, called reinforcement learning pre-training (RLP), integrates ...

DeepSeek's research could open the door to AI developing reasoning methods that are incomprehensible to humans, raising safety concerns. Correspondent The release of DeepSeek R1 stunned Wall Street ...