This efficiency makes it viable for enterprises to move beyond generic off-the-shelf solutions and develop specialized models that are deeply aligned with their specific data domains ...

B, an open-weight multimodal vision AI model designed to deliver strong math, science, document and UI reasoning with far less training data and compute than much larger systems.

Large protein machines in the body carry out many of the cell's most essential tasks, from energy production to the ...

Choosing the right method for multimodal AI—systems that combine text, images, and more—has long been trial and error. Emory ...

Late in 2025, we covered the development of an AI system called Evo that was trained on massive numbers of bacterial genomes. So many that, when prompted with sequences from a cluster of related genes ...

By cooling an atom-thin magnetic material, physicists have experimentally confirmed a classic 1970s model of two-dimensional magnetism.

A new study suggests AI systems could be a lot more efficient. Researchers were able to shrink an AI vision model to 1/1000th ...

Statistical insights into machine learning analysis can help researchers evaluate model performance and may even provide new physical understanding.

Think you know iOS inside out? Well, think again. Unlock your iPhone's full potential with these hidden tweaks.

Abstract: This paper depicts a new FPGA design and implementation for various computing algebra routines, emphasize efficiency in resource utilization and speed. It is a fundamental operation in ...

The company’s chief executive, Elon Musk, said this week that it would stop making the car, an electric pioneer in 2012, as well as the Model X. By Neal E. Boudette Thirteen years ago, Mike Ramsey, an ...

The convergence of digital transformation and the GenAI revolution creates an unprecedented opportunity for accelerating progress in precision health. Precision immunotherapy is a poster child for ...