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

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

The development kit covers all core building blocks of a zonal controller, which typically needs to tackle everything from ...

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

Over the past few years, a new type of digital platform has emerged that focuses on long-term, conversational interaction rather ...

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

Apple’s multi-year deal to embed Google’s Gemini models into Apple Intelligence is an implicit admission that Siri needs a ...

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

Where code meets reality, embedded systems come at that intersection, demanding precision, efficiency, and careful planning.

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

Data doesn’t have to travel as far or waste as much energy when the memory and logic components are closer together.

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