Browsing: Machine Learning

Reinforcement learning, a method refined in academia over two decades, is powering the next generation of AI breakthroughs by enabling machines to learn through trial and error, guided by feedback from their environment.

LabGenius uses AI robotics and machine learning to create potential cancer-fighting antibodies efficiently

Researchers at MIT develop new technique to guide large language models to generate accurate and structured code

Google introduces Gemini 2.5 Flash, a groundbreaking AI model allowing businesses to control the ‘thinking’ process, balancing performance and cost efficiency in enterprise AI deployments.

OpenAI has released GPT-4.1, a new AI model with context windows of up to one million tokens, along with Mini and Nano variants. The models show impressive performance improvements and are available via API and in OpenAI’s playground.

Researchers develop novel method using ultraviolet light absorbance and machine learning to quickly detect microbial contamination in cell therapy products

Researchers develop novel method using UV absorbance spectroscopy and machine learning to quickly detect microbial contamination in cell therapy products

A new image-generation tool developed by MIT and NVIDIA researchers combines the strengths of two popular AI model types, resulting in faster image generation with high quality and lower energy consumption.

A new metric provides insights into the rapid progress of leading AI models, revealing accelerating improvements in their ability to handle complex tasks.

A University of Colorado Anschutz Medical Campus researcher is using artificial intelligence to develop methods for predicting the onset of rheumatoid arthritis, potentially enabling early intervention and prevention strategies.