How to Reduce AI Token Costs Using Prompt Management and Caching

Reduce AI tokenomics expenses using semantic caching and strict response limits. Output tokens cost more than input tokens ...

AI Is Breaking the Memory Chip Business Model

Investors who piled into SK Hynix’s $28 billion blockbuster Nasdaq debut on Friday should be aware: The business model on ...

Memory Capacity Production Slowly Expanding To Meet AI Industry Demand

Samsung, SK hynix, Sandisk, Kioxia and Micron report building out new DRAM and NAND flash manufacturing and packaging ...
GitHub

Skija: Java bindings for Skia

Skia is an open source 2D graphics library which provides common APIs that work across a variety of hardware and software platforms. Skija is a high-quality Java bindings for Skia. Note: this is an ...
GitHub

aiXcoder-7B Code Large Language Model

As the capabilities of large code models are gradually being unearthed, aiXcoder has consistently pondered on how to make these models more beneficial in real development scenarios. To this end, we ...

Using mechanical vibrations instead of magnetic memory for quantum computing

Quantum computers still face limits when it comes to storing information. Researchers at ETH Zurich are now turning to ...
Interesting Engineering

New in-memory computing chip promises faster processing with lower energy use

AI chip makers SK hynix and TetraMem unveil a chip that computes inside memory to reduce power use and data movement.