AI

Deep reinforcement learning (DRL) faces a critical challenge due to the instability caused by “churn” during training. Churn refers to unpredictable changes…

The Qwen team from Alibaba has recently made waves in the AI/ML community by releasing their latest series of large language models…

Electronic Health Records (EHRs) present a wealth of information, combining structured tabular data and unstructured clinical notes. This valuable resource forms the…

The field of spoken dialogue systems has evolved significantly over the years, moving beyond simple voice-based interfaces to complex models capable of…

Collaborative perception has become a critical area of research in autonomous driving and robotics. In these fields, agents—such as vehicles or robots—must…

Data-Free Knowledge Distillation (DFKD) methods transfer knowledge from teacher to student models without real data, using synthetic data generation. Non-adversarial approaches employ…

Those fears seem to have been unwarranted, says Sam Stockwell, the researcher at the Alan Turing Institute who conducted the study. He…

Mistral AI recently announced the release of Mistral-Small-Instruct-2409, a new open-source large language model (LLM) designed to address critical challenges in artificial…

This post has been co-written with Artem Sysuev, Danny Portman, Matúš Chládek, and Saurabh Gupta from Zeta Global. Zeta Global is a…