Large language models are good at many tasks but bad at complex reasoning, especially when it comes to math problems. Current In-Context Learning (ICL) methods depend heavily on carefully chosen …

AI is revolutionizing the landscape of scientific research, enabling advancements at a pace that was once unimaginable — from accelerating drug discovery to designing new materials for clean energy technologies. …

The deep neural network models that power today’s most demanding machine-learning applications have grown so large and complex that they are pushing the limits of traditional electronic computing hardware. Photonic …

AI as we currently know it is having an echo effect on social media platforms. Those who use social media and agencies who utilize social media for marketing purposes have …

Quantum computers have the potential to revolutionize drug discovery, material design and fundamental physics — that is, if we can get them to work reliably. Certain problems, which would take …

Image and video generation has undergone a remarkable transformation, evolving from a seemingly impossible challenge to a task nearly solved by commercial tools like Stable Diffusion and Sora. This progress …