Researchers at DZNE and the Department of Vascular Neurology at the University Hospital Bonn (UKB) aim to develop a computer ...

Abstract: This paper begins with an overview of several competitive learning algorithms in artificial neural networks ... Finally, we report a reconfigurable parallel neurocomputer architecture we ...

Now, researchers at MIT have developed an entirely new way of approaching these complex problems, using simple diagrams as a tool to reveal better approaches to software optimization in deep-learning ...

Arm has announced the availability of the first public specification drafted around its Chiplet System Architecture ... to-chip (C2C) architecture specification to connect artificial intelligence (AI) ...

One recent application consists of developing heuristic greedy algorithms ... 3.0%), the new network architecture consistently outperforms the baseline across all epochs. In conclusion, the proposed ...

With the proliferation of sensors around the vehicle, the edge architecture ... algorithms that can increase the resolution of distributed-aperture radar as well as implement machine learning ...

Digital neuromorphic system is based on spiking ... digital neuromorphic systems. A few learning algorithms are presented, aiming at lifelong learning or online learning of digital neuromorphic ...

The architecture employs two loops: an outer loop using GPT-4 for refining the reward function, and an inner loop for reinforcement learning to train the robot's control system. The research is ...