Memory training technique may help lower stress by shifting recall patterns

Our minds have a tendency to latch onto negative experiences more strongly than positive ones. While occasional negative ...

DeepSeek’s Engram Conditional Memory Shows How to Reduce AI Compute Waste

DeepSeek's new Engram AI model separates recall from reasoning with hash-based memory in RAM, easing GPU pressure so teams run faster models for less.

Micron Technology: Riding On AI-Driven Growth

Micron Technology has a bullish outlook as HBM3E and HBM4 power AI, FY2026 revenue near $74B, and $20B capex supply risk. Find out why MU stock is a buy.
TMCnet

MicroCloud Hologram Inc. Releases Learnable Quantum Spectral Filter Technology for Hybrid Graph Neural Networks

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released learnable quantum spectral filter technology for hybrid graph neural networks. This ...
Edutopia

Making Project-Based Learning More Impactful by Emphasizing Depth Over Speed

In education, there’s sometimes a misperception that innovation must be linked to major changes in classroom instruction. I’ve witnessed schools restructuring their classes to be entirely ...
IEEE

GLEAM: Graph-Based Learning Through Efficient Aggregation in Memory

Abstract: Graph Neural Networks (GNNs) have emerged as a powerful tool for analyzing relationship-based data, such as those found in social networks, logistics, weather forecasting, and other domains.
VentureBeat

This new framework lets LLM agents learn from experience, no fine-tuning required

A new learning paradigm developed by University College London (UCL) and Huawei Noah’s Ark Lab enables large language model (LLM) agents to dynamically adapt to their environment without fine-tuning ...