Australia's Victoria government has proposed seven REZ to help achieve its target of 2.7GW of utility-scale solar generation ...

Darvis is a modular, AI-supported decision framework built to enhance the investment experience for both emerging traders and ...

In the spirit of a technology developed by AI company Anthropic, Microsoft sees the future of AI where there are lots of ...

Google DeepMind has unveiled AlphaEvolve, an evolutionary coding agent designed to autonomously discover novel algorithms and ...

The study identifies modern AI agents as a confluence of five critical technological revolutions: sophisticated prompting ...

A Reinforcement Learning (RL)-based agent is created that constantly enhances its decision-making capacity by utilizing real-time feedback and dynamically chooses best forwarding tactics. This work ...

The core idea behind reinforcement learning is for a system to learn in the same manner that people and animals learn—by ...

This paper proposes a general framework called Training an Agent Manually via Evaluative Reinforcement (TAMER ... Leveraging the human trainers' feedback, the agent learns to clear an average of more ...

Transfer Learning for Reinforcement Learning Domains: A Survey. Matthew E. Taylor and Peter Stone. Journal of Machine Learning Research, 10(1):1633–1685, 2009.

Until now, I’ve mostly built apps for businesses, and collecting user feedback for those projects has been straightforward and structured. The D2C world is different. Read the Google reviews ...

Alphabet's Q1 results crushed expectations, proving its AI integration strategy has enhanced, rather than threatened, its dominant Search business. Despite fears of disruption from ChatGPT and ...