AI Business

Record $1.1B Seed Funding for Reinforcement Learning Startup

A U.K. startup that aims to steer AI in a new direction has raised $1.1 billion in funding at a valuation of $5.1 billion -- ...

Ineffable Intelligence raises $1.1B at $5.1B valuation to build an AI ‘superlearner’

Ineffable Intelligence’s raise comes two months after AMI Labs Inc., another early-stage AI startup with a prominent founder, ...

New AI framework autonomously optimizes training data, architectures and algorithms — outperforming human baselines

EVOLVE, an agentic framework that autonomously optimizes AI training data, model architectures, and learning algorithms — ...

The Man Behind AlphaGo Thinks AI Is Taking the Wrong Path

In 2016, an AI program he developed at Google DeepMind, AlphaGo, taught itself to play the famously difficult game of Go with ...
Hosted on MSN

AI is changing how we play bridge

Artificial intelligence is rapidly transforming the game of bridge, from cutting-edge bidding algorithms that rival champions to accessible training tools for players of all levels. Researchers are ...
Hosted on MSN

New online learning method boosts robot control efficiency

Researchers have introduced an online model-based reinforcement learning algorithm that trains robots directly from real-world interactions, bypassing extensive simulation. The approach builds a ...
Crypto Briefing

Josh Sirota: AI models must update frequently for business effectiveness, local hardware enhances data privacy, and proprietary solutions address task inefficiencie…

AI models need to be updated frequently to stay effective in business environments. Proprietary AI solutions can address ...
Control Global

AI algorithm helps optimize AGR, and save amine, steam and power

AI acts as a feature to support existing solutions, which enables predictions and control process improvements beyond ...
Robohub

AI system learns to keep warehouse robot traffic running smoothly

The hybrid system utilizes deep reinforcement learning, a powerful artificial intelligence method for solving complex ...
Frontiers

Computational Frameworks for Decision-Making: From Bayesian Inference to Reinforcement Learning Models

The ability to make adaptive decisions in uncertain environments is a fundamental characteristic of biological intelligence. Historically, computational ...
Scientific Research Publishing

Dimitrakakis, C. and Ortner, R. (2022) Decision Making under Uncertainty and Reinforcement Learning: Theory and Algorithms. Vol. 223, Springer.

ABSTRACT: Bipolar disorder (BD) is closely intertwined with abnormalities in sleep and circadian regulation, yet current clinical management typically applies heuristic rules rather than optimizing ...
GitHub

Comparing a classical Destination Dispatching algorithm against a PPO-trained reinforcement learning agent in a custom-built Gymnasium simulation environment.

elevator-ai/ ├── environment/ │ ├── building.py # Core simulation entities │ ├── elevator_env.py # Gymnasium environment │ └── traffic_patterns.py # Probabilistic passenger spawning ├── agents/ │ ├── ...