a spiking neural network simulator written in the Python language. Vectorized simulation makes it possible to combine the flexibility of high-level languages with the computational efficiency usually ...

A research team from the Skoltech AI Center proposed a new neural network architecture for generating structured curved ...

EDA software is revolutionizing high-speed digital design by accelerating time-to-market despite growing complexity.

The post contains 261 new customer stories, which appear at the beginning of each section of customer lists. The post will be ...

Network models are a computer architecture, implementable in either hardware or software, meant to simulate biological populations of interconnected neurons. These models, also known as ...

The goal is to develop communication and collaboration capabilities of AIs. VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is ...

This repository demonstrates a PyTorch-trained, quantized neural network for MNIST digit classification, with a Verilog RTL implementation for hardware simulation using QuestaSim.

Integrating long-context capabilities with visual understanding significantly enhances the potential of VLMs, particularly in domains such as robotics, autonomous driving, and healthcare. Expanding ...