A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression.

As humans, our eyes take in two-dimensional images that our brains convert to three-dimensional experiences. This ability enables us to be aware of our position in space, judge distances, possess ...

An artificial intelligence model capable of reading and interpreting animal behavior like language has been developed by ...

Background Citizens depend on high-quality healthcare; however, significant disparities in quality persist among healthcare organisations. Healthcare services are complex organisations, making it ...

The premise is straightforward — we are awash in biological data. The rapid growth of multiomics datasets (genomics, transcriptomics, proteomics, metabolomics, and radiomics) together with ...

Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...

Elon Musk marked his 55th birthday by announcing an ambitious plan for his AI company, xAI, which aims to launch new ...

Atharv Kolhar, a staff test automation engineer at Figure AI, says the robotics industry needs a testing philosophy that ...

Open-source agentic coding model Ornith-1.0, released today under the MIT license, uses a self-improving reinforcement ...

Bigger has defined AI from day one. New data says task-specific small models beat frontier LLMs on accuracy, cost and speed — ...

The AI data industry will continue to reinvent itself, and the companies that take the lead will do so by building a sustainable infrastructure.

B, a 3-billion-parameter AI model, is challenging OpenAI, Google and DeepSeek on math and coding benchmarks while reigniting the debate over AI scaling, benchmark gaming and small-model reasoning.