Quiq reports on the role of automation in customer service, highlighting tools like AI for questions, ticket classification, ...

Microsoft develops a lightweight scanner that detects backdoors in open-weight LLMs using three behavioral signals, improving ...

With the rapid advancement of Large Language Models (LLMs), an increasing number of researchers are focusing on Generative Recommender Systems (GRSs). Unlike traditional recommendation systems that ...

The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning models. So how are researchers working to improve computing efficiency to ...

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...

AMD is hiring a Senior AI/ML Lead in Hyderabad to lead the design, development, deployment, and optimization of AI/ML ...

Claims that artificial intelligence (AI) is on the verge of surpassing human intelligence have become commonplace. According ...

Although large language models (LLMs) have the potential to transform biomedical research, their ability to reason accurately across complex, data-rich domains remains unproven. To address this ...

Once a model is deployed, its internal structure is effectively frozen. Any real learning happens elsewhere: through retraining cycles, fine-tuning jobs or external memory systems layered on top. The ...

That’s not to say that the technology doesn’t have a function or won’t improve, but it does place a much lower ceiling on what is possible than what AI companies would like to acknowledge when giving ...

Model predicts effect of mutations on sequences up to 1 million base pairs in length and is adept at tackling complex ...

As generative artificial intelligence becomes a foundational layer in modern software and machine learning development, ...