Interview Kickstart today announces the publication of its comprehensive career guide titled "How to Transition from Software Engineer to Machine Learning Engineer," a detailed resource created to ...

A machine-learning loop searched 14 million battery cathode compositions and found fivefold performance gains across four metrics using fewer than 200 experiments.

The Digital Revolution Behind the Wheel We shape our tools, and thereafter our tools shape us.”— Marshall McLuhan NEW ...

The framework predicts how proteins will function with several interacting mutations and finds combinations that work well together.

Researchers from the Department of Computer Science at Bar-Ilan University and from NVIDIA's AI research center in Israel ...

African startups led by young women have been invited to apply for the AI Ventures Accelerator, a programme where selected ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

A biomimetic synapse built from water droplets and biological ion channels achieves synaptic plasticity and performs machine learning tasks.

How we learn to predict an outcome isn’t determined by how many times a cue and reward happen together. Instead, how much ...

Computer scientists Maria Apostolaki, Benjamin Eysenbach, and Yasaman Ghasempour; chemists William Jacobs and Erin Stache; physicist Isobel Ojalvo; and mathematician Bartolomeo Stellato are members of ...

Could the Innovation in Non-Human Identities Be the Key to Enhanced Secrets Security? Where progressively leaning towards automation and digital transformation, how can we ensure that the creation and ...

Muons tend to scatter more from high-atomic-number materials, so the technique is particularly sensitive to the presence of materials such as uranium. As a result, it has been used to create systems ...