Through systematic experiments DeepSeek found the optimal balance between computation and memory with 75% of sparse model ...

The key in agentic AI is establishing clear "expertise directories" and communication protocols using transactive memory ...

As agentic AI moves from experiments to real production workloads, a quiet but serious infrastructure problem is coming into focus: memory. Not compute. Not models. Memory.

Detailed Platform Analysis in RightMark Memory Analyzer. Part 12: VIA C7/C7-M Processors 4838 文章 ...

Keep AI focused with summarization that condenses threads and drops noise, improving coding help and speeding up replies on ...

A new forensic framework designed specifically for the Internet of Things (IoT) is discussed in the International Journal of ...

Why today’s AI systems struggle with consistency, and how emerging world models aim to give machines a steady grasp of space ...

Individuals who struggle to complete tasks (at home, school, or the workplace) may not have a problem with executive function ...

The next stumbling block is legacy processes that assume humans are doing all the work. Banking processes were historically ...

The initial promise of LLMs as a total fix for enterprise automation has stalled. We have solved for reasoning at scale, but turning that reasoning into real-world results is a different story. We ...

Most edge AI demonstrations operate flawlessly in controlled environments with stable networks, predictable traffic, and ...

E Network Technology Group Limited (Nasdaq: MASK) (the 'Company” or '3 E Network”), a business-to-business ('B2B”) ...