A detailed introduction to elements of computing ... algorithms; numerical methods; databases; parallelism and concurrency; and coding practices, program design, and testing. Multiple programming ...

Anthropic is launching an AI for Science program to support researchers working on 'high-impact' scientific projects.

Lots of microcontrollers will accept Python these days, with CircuitPython and MicroPython becoming ever more popular in recent years. However, there’s now a new player in town. Enter PyXL, ...

Technology is revolutionizing how academic research is conducted in STEM disciplines across the United States. With tools like artificial intelligence, cloud computing, and virtual collaboration ...

In today's rapidly evolving scientific landscape, laboratories face increasing pressure to accelerate innovation, improve efficiency, and maintain regulatory compliance. Artificial intelligence (AI) ...

Quantum information is problem solving and data processing using a quantum system as the information carrier, rather than binary ‘1’s and ‘0’s used in conventional computation. Quantum ...

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math ...

micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of ...