With the growing processing power of computing systems and the increasing availability of massive datasets, machine learning algorithms have led to major breakthroughs in many different areas. This ...

Luca is one of the first kids to try Little Language Models, a new application from Manuj and Shruti Dhariwal, two PhD ...

AI agents must solve a host of tasks that require different speeds and levels of reasoning and planning capabilities. Ideally, an agent should know when to use its direct memory a ...

In today’s rapidly evolving world, the ability to learn continuously and adapt to new information is more important than ever ...

Build your AI skills right now, with a collection of free training courses from Microsoft, NVIDIA, Google and more.

The deep learning market is expected to be worth US$ 12,569.0 million globally in 2022 and is projected to increase at a CAGR of 26.4% to US$ 130,667 Million globally from 2022 to 2032. The fast use ...

Chinese researchers have uncovered a significant vulnerability in relying on AI models powered by Deep Neural Networks (DNN) ...

Fine-tune Flan-T5-large with TensorFlow and Hugging Face for question-answering; covering transfer learning, SQuAD preprocessing, and T5 architecture for NLP.

In 2017 “Attention Is All You Need” proposed a new neural network design known as the transformer architecture. The paper ...

APPFL, Advanced Privacy-Preserving Federated Learning, is an open-source and highly extensible software framework that allows research communities to implement, test ...

Our goal is to provide a federated learning framework that is both secure, scalable and easy-to-use. We believe that that minimal code change should be needed to progress from early proof-of-concepts ...