A study introduces a scalable 2D human neuron platform to probe how brain-like rhythms emerge and how specific drugs reshape them, aiding epilepsy and autism research.
Morning Overview on MSN
AI model cracks yeast DNA code to turbocharge protein drug output
MIT researchers have built an AI language model that learns the internal coding patterns of a yeast species widely used to manufacture protein-based drugs, then rewrites gene sequences to push protein ...
SeaCast is an innovative high-resolution forecasting system for the Mediterranean that harnesses AI to deliver faster and ...
The Heisenberg uncertainty principle puts a limit on how precisely we can measure certain properties of quantum objects. But researchers may have found a way to bypass this limitation using a quantum ...
Abstract: In underwater environments, the absorption and scattering of light often result in various types of degradation in captured images, including color cast, low contrast, low brightness, and ...
Abstract: Address event representation (AER) object recognition task has attracted extensive attention in neuromorphic vision processing. The spike-based and event-driven computation inherent in the ...
Quantum Variational Graph Auto-Encoders (QVGAE) represent an integration of graph-based machine learning and quantum computing. In this work, we propose a first-of-its-kind quantum implementation of ...
As an important part of active sonar, transmitted signals have a great influence on the performance of ocean exploration, however, in the actual environment, due to the existence of the Doppler ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results