According to the job description, the role sits within the AI & Robotics division under Engineering and R&D and will contribute to building hardware that powers Tesla’s neural-network-driven ...

The Department of Bioengineering at the Indian Institute of Science has invited organisations to host MTech Bioengineering ...

A new low-power sensor node framework combines sensing and machine learning, with the potential to enhance real-time environmental monitoring while optimizing energy efficiency.

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

In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...

By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications after stem cell and bone marrow transplants, according to new research ...

Please note that this is a general posting and your resume will be reviewed by multiple teams within the AI Hardware ...

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 possible variants-more combinations than atoms in the observable universe.

Georgia Tech’s Qi Tang is building machine learning (ML) models to accelerate nuclear fusion research, making it more affordable and more accurate. Backed by a grant from the U.S. Department of Energy ...

Stearns and Poletti present a technically impressive study that aims to uncover a deeper understanding of microsaccade function: their role in perceptual modulation and the associated temporal ...