How AI works through data, models, and learning. Discover how small and large AI systems process input and make intelligent ...

The investigation considers feedback strength, delay length, and initial conditions as key parameters, and employs numerical analyses including phase diagrams, Lyapunov exponents, bifurcation diagrams ...

The PIL had sought directions to the Centre and states to make the Front of Package Warning Label mandatory. In June 2024, the FSSAI approved a proposal to display nutritional information ...

Experimental drug NU-9—a small molecule compound approved by the U.S. Food and Drug Administration (FDA) for clinical trials for the treatment of amyotrophic lateral sclerosis (ALS)—improves neuron ...

To conduct the new study, the team started with cultures of neurons from a small animal model. In one experiment, the scientists added a form of amyloid beta to these cells. The amyloid beta ...

Department of Chemical and Biomolecular Engineering, University of Connecticut, Storrs, Connecticut 06269, United States Center for Clean Energy Engineering, University of Connecticut, Storrs, ...

Meta said, “Scout is our most efficient model ever in its class. It delivers performance that surpasses Llama 3 while being more scalable.” The model achieves better results than competing systems, ...

Google has unveiled Sec-Gemini v1, an experimental artificial intelligence model aimed at helping cybersecurity professionals detect and analyze threats in real time. Announced on April 4 ...

This important computational study investigates homeostatic plasticity mechanisms that neurons may employ to achieve and maintain stable target activity patterns. The work extends previous analyses of ...

You can often find her with a novel and an iced coffee during her time off. An "open-weights" AI model is a kind of middle ground between open- and closed-source approaches. Weights are how AI ...

By defining the learning objectives, the researchers enabled the neurons to find their specific learning rules themselves. The team focused on the learning process of each individual neuron. They ...