Category: neural networks

How large language models (LLMs) will undoubtedly play a pivotal role in expediting various tasks across a range of domains.

Striking a balance between AI interpretability and predictive performance is a challenge. But there are some ways forward.

The MIT CSAIL has developed MAGE, a unified AI system capable of handling both image generation and image recognition tasks.

Google today announced it is using a diffusion-based AI model to enable a new virtual try-on shopping feature in Search.

How AI gives analysts insights and delivers more accuracy and real-time latency to stop potential synthetic identity fraud before it happens.

AI powered conversational search platform Vectara has new capabilities aiming to improve generative AI for business data.

Enterprises that embrace and master generative AI will gain a competitive edge and create new opportunities for growth and innovation.

Was Geoffrey Hinton's (the "godfather of AI") resignation from Google on May Day a true mayday signal for where AI is headed?

Hailo's dedicated deep learning edge AI processor is power-efficient, specifically designed for neural networks; vision is a major use case.

While combining different AI techniques presents unique challenges, their integration can create more powerful, accurate and explainable AI.