Google's latest trick gets Gemma 4 running 3x faster right on your phone

Google's new companion models trim the workload so Gemma 4 can deliver up to 3x faster speeds for on-device AI.
Geeky Gadgets

AI Memory Hacks: Boosting AI Model Performance with Context

In the fast-paced world of artificial intelligence, memory is crucial to how AI models interact with users. Imagine talking to a friend who forgets the middle of your conversation—it would be ...
TweakTown

SK hynix and Samsung team up to standardize LPDDR6-Processing In Memory (PIM) for on-device AI

TL;DR: South Korean memory rivals SK hynix and Samsung team up to expedite LPDDR6-PIM (Processing-In-Memory) technology for the future of on-device AI. SK hynix and Samsung are massive memory rivals ...
Semiconductor Engineering

Developing ReRAM As Next Generation On-Chip Memory For Machine Learning, Image Processing And Other Advanced CPU Applications

In modern CPU device operation, 80% to 90% of energy consumption and timing delays are caused by the movement of data between the CPU and off-chip memory. To alleviate this performance concern, ...
Communications of the ACM

Real-Time Data Processing in UAV Systems

I’ve been flying multispectral missions for a few years now, and the biggest surprise of these systems is how much processing ...