The biggest challenge posed by AI training is in moving the massive datasets between the memory and processor.

New cell-scale robots can sense their environment, compute decisions, and move independently without magnetic or ultrasonic ...

During TVBEurope's webinar on unlocking MXL's capabilities, the panel discussed how the technology will help streamline ...

Apple's Mac momentum and chip innovation give AAPL an edge against HPQ as PC makers face memory shortages and rising costs.

Advantech is releasing its UNO-2372V3 edge automation computer for industrial IoT applications. For example, factory, ...

A clever tropical fish has flipped how biologists are thinking about memory, brains and visual recognition in the animal ...

ACM, the Association for Computing Machinery, has named 71 new Fellows. ACM Fellows are registered members of the society and were selected by their peers for achieving remarkable results through ...

As the move to physical AI speeds up, how do you make sure these capabilities become broadly accessible and not limited to ...

While standard models suffer from context rot as data grows, MIT’s new Recursive Language Model (RLM) framework treats ...

As the demand for artificial intelligence continues to grow, the limitations of traditional von Neumann architecture in terms of energy efficiency and ...

Features: High-performance computing is helping Space agencies and universities compress simulation cycles, train AI models faster, and enable more autonomous missions.

Learn how lattice-based PQC secures Model Context Protocol (MCP) transport layers against quantum threats using NIST standards like ML-KEM and ML-DSA.