Quantum computing cuts 'robust AI' training load by up to 80%, researchers say

Researchers have developed a technique that combines quantum computing with robust AI training, dramatically cutting the ...
IEEE

Consensus Algorithms and Deep Reinforcement Learning in Energy Market: A Review

Abstract: Blockchain (BC) and artificial intelligence (AI) are often utilized separately in energy trading systems (ETSs). However, these technologies can complement each other and reinforce their ...
InfoQ

Hardwood Promises High-Speed JVM Apache Parquet Processing with Zero Mandatory Dependencies

Hardwood, the project Gunnar Morling kick-started handling of Parquet files in Java, reached version 1. Its multi-threaded approach and zero mandatory external dependencies promise a simpler, more ...
AZoOptics

Researchers Design AI-Driven Photonic Crystal Fiber Modulator

A deep reinforcement learning framework optimizes silicon-based photonic crystal fiber modulators, achieving ultra-low ...
Frontiers

Trustworthy and Resilient AI for Smart Energy Systems: Frontier AI, Reinforcement Learning ...

The energy sector is becoming a highly connected cyber-physical ecosystem in which distributed energy resources, electric ...
AZoRobotics

Can AI Run Its Own Data Centers?

AI's role in data centers enhances operational efficiency, predictive maintenance, and cybersecurity, paving the way for ...

The DeepMind trio who built a poker AI are now making money for quant hedge funds

EquiLibre Technologies, a Prague-based AI lab founded by three ex-DeepMind researchers, is now valued at more than $500 ...

Datadog Acquires Adaptive ML to Accelerate Its Investment in AI Research and Development

(NASDAQ: DDOG), the leading AI-powered observability and security platform, today announced it has acquired Adaptive ML, a frontier AI startup developing the world's first Reinforcement Learning ...