The research project promises more efficient long-term recall by organizing knowledge around abstractions and cue-based ...

At Everpure Accelerate the company announced its Data Stream for data in real-time AI workloads and its Data Intelligence to ...

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

While machine learning has improved detection, most models fail when confronted with attack scenarios they have never seen before, because they learn data patterns rather than the underlying physics ...

DeepSeek speculative decoding framework DSpark went live June 27 on V4-Flash and V4-Pro, reporting up to 85 percent faster ...

Micron benefits from structural tailwinds as tight DRAM and NAND market conditions are expected to persist until at least ...

Optimists once believed that universal literacy was inevitable. Now it seems that the age of reading might be a short anomaly ...

Multiomics data integration with machine learning has become the standard approach for combining genomic, transcriptomic, proteomic, and metabolomic measurements collected from the same biological ...

Computers have made it easier than ever to design materials for specific challenges. Scientists can create virtual versions of materials and simulate how they will behave. But building these ...

For three years the AI boom ran on capability claims and vibes. This year it runs on invoices. An inference platform most ...

Jon Peddie Research (JPR), the leading research and consulting firm for graphics and AI technologies, has released its Q2 2026 AI Processor report that covers the state of the AI processor industry in ...