This Google AI Breakthrough Could End the Global RAM Crisis Sooner Than Expected

Google's TurboQuant algorithm can cut AI memory needs by 6x, having the potential to fix the global RAM crisis and change the ...

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 ...
IEEE

Adaptive Heading Tracking Algorithm Based on Vehicle Dynamics Model

Open-pit mines are a crucial form of coal production, and their transportation systems play an irreplaceable role in the overall production process[1], [2]. As a key factor in improving transportation ...
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 ...