Large-scale applications, such as generative AI, recommendation systems, big data, and HPC systems, require large-capacity ...

Government-funded academic research on parallel computing, stream processing, real-time shading languages, and programmable ...

Electronics usually fail under extreme heat, but scientists have now created a memory chip that keeps working at temperatures ...

FOTA is a technology that remotely updates a device’s firmware via wireless networks such as Wi-Fi, 5G, LTE, or Bluetooth ...

Alzheimer’s has long been considered irreversible, but new research challenges that assumption. Scientists discovered that severe drops in the brain’s energy supply help drive the disease—and ...

Google developed a new compression algorithm that will reduce the memory needed for AI models. If this breakthrough performs as advertised, it could drastically reduce the amount of memory chips ...

Abstract: Activation function (AF) is a pivotal yet resource-intensive component in artificial neural network (ANN) hardware implementations. Digital AFs offer high accuracy but require data ...

👉 Learn how to find the inverse of a linear function. A linear function is a function whose highest exponent in the variable(s) is 1. The inverse of a function is a function that reverses the "effect ...

Investors were spooked by a new Google compression algorithm that makes AI models more efficient and requires less memory. Rising fears about a recession and higher inflation contributed to the ...

The compression algorithm works by shrinking the data stored by large language models, with Google’s research finding that it can reduce memory usage by at least six times “with zero accuracy loss.” ...