Overview Neural networks courses in 2026 focus heavily on practical deep learning frameworks such as TensorFlow, PyTorch, and Keras.Growing demand for AI profes ...

International researchers develop NTAC, an AI that identifies neuronal types with 90% accuracy based purely on synaptic connectivity, outperforming traditional shape-based methods.

Machine learning algorithms help computers analyse large datasets and make accurate predictions automatically.Classic models like regression, dec ...

An MSU-led team found promising therapeutics for two diseases that currently lack effective treatment, demonstrating how gene ...

Researchers at the University of Sydney have built a photonic AI chip that processes neural network tasks at the speed of light while generating far less heat and consuming far less power than ...

Israeli nonhuman identity management startup Oasis Security Ltd. revealed today that it has raised $120 million in new funding to expand research and development and support go-to-market operations, ...

UD professor's decades-long research helps organizations design transparent, accountable AI systems as new global regulations ...

OpenAI Group PBC and Mistral AI SAS today introduced new artificial intelligence models optimized for cost-sensitive use cases. OpenAI is rolling out two algorithms called GPT-5.4 mini and GPT 5.4 ...

This year's gongs went to projects including AI fraud detection, a marine-debris initiative, and a DSS geospatial tool for grants allocation.

Researchers developed DDINet, a deep learning model that predicts drug–drug interactions and their biological effects. The system performed well with unseen drugs and may improve safety in ...

The battlefield is no longer just a physical space of troops and artillery; it is a vast, invisible network of data, sensors, and machine learning models. In the current Iran-Israel conflict, AI is ...

Inside a diseased cell, the genes are in chaos. Some are receiving signals to overproduce a protein. Others are reducing ...