Google AI breakthrough shows why we don't need more data centers

That much was clear in 2025, when we first saw China's DeepSeek — a slimmer, lighter LLM that required way less data center ...
DIGITIMES

In-depth: Google TurboQuant cuts LLM memory 6x, resets AI inference cost curve

Google has introduced TurboQuant, a compression algorithm that reduces large language model (LLM) memory usage by at least 6x ...

Quantum computer accurately simulates real magnetic materials, reproducing national laboratory data

Studying and designing novel materials is a central application of quantum mechanics. Chemists, materials scientists, and ...

Google develops TurboQuant compression technology for AI models

Google LLC has unveiled a technology called TurboQuant that can speed up artificial intelligence models and lower their ...

Google sets 2029 timeline for post-quantum cryptography migration

Google LLC today announced that it’s stepping up its push toward a quantum computing-safe future with the introduction of a ...

Google's new TurboQuant algorithm speeds up AI memory 8x, cutting costs by 50% or more

Within 24 hours of the release, community members began porting the algorithm to popular local AI libraries like MLX for ...
WinBuzzer

Google’s TurboQuant Algorithm Slashes LLM Memory Use by 6x

Google has published TurboQuant, a KV cache compression algorithm that cuts LLM memory usage by 6x with zero accuracy loss, ...
Decrypt

Google Shrinks AI Memory With No Accuracy Loss—But There's a Catch

The technique reduces the memory required to run large language models as context windows grow, a key constraint on AI ...
IEEE

Comparing SAC and DQN in Microgrid EMS: Baseline Results under Fixed Electricity Price

Abstract: This paper compares the performance of the Soft Actor-Critic (SAC) and Deep Q-Network (DQN) algorithms for microgrid energy management under a baseline scenario with fixed electricity price ...
MIT Technology Review

Can quantum computers now solve health care problems? We’ll soon find out.

After 30 months of fast-paced innovation in quantum algorithms, six research groups are hoping to hit paydirt. But there can ...
GitHub

Machine Intelligence Core: Reinforcement Learning

A subproject of Machine Intelligence Core (MIC) framework. The repository contains solutions and applications related to (deep) reinforcement learning. In particular, it contains several classical ...