Researchers say new approach could speed up drug discovery and design and unlock therapies for conditions that have long eluded traditional methods.

In a move that could reshape drug discovery, researchers at Harvard Medical School have designed an artificial intelligence ...

Abstract: We have already proposed the inverse function delayed (ID) model as a novel neuron model. The ID model has a negative resistance similar to Bonhoeffer-van der Pol (BVP) model and the network ...

Abstract: The majority of model-based learned image reconstruction methods in medical imaging have been limited to uniform domains, such as pixelated images. If the underlying model is solved on ...

Code for the thesis "Inverse Reinforcement Learning (IRL) with Diffusion Models". This repository contains the implementation of diffusion models for solving IRL tasks by learning reward functions ...

Jim Morris, solution engineer, Progress, and Stephen Reed, senior account manager, Progress, joined DBTA's webinar, Building Knowledge Graphs to Power Your AI Initiatives, to examine how knowledge ...

Edward Egilinsky, Managing Director, Head of Sales and Distribution, and Head of Alternative Investments at Direxion ETFs joined Benzinga on Premarket Playbook to discuss what he sees happening in the ...

Investors who read stock charts use moving averages, price action and volume signals to sell. Add to that toolbox a simple ...