The big challenge in deep learning is that you need a lot of data to train the neural network. Fortunately, one of my ...

Researchers from MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed a novel artificial ...

NTT Research, Inc. and NTT R&D, divisions of NTT , announced that their scientists will present nine papers at the International Conference on Learning Representations (ICLR) 2025 ...

A new scientific machine learning framework developed by Professors Horacio D. Espinosa, Sridhar Krishnaswamy, and ...

Antonius Büscher and colleagues created a deep learning model to identify ECG patterns linked to the risk of revascularization in order to direct additional evaluation and lower diagnostic ambiguity.

AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet. Deep Learning Containers provide optimized environments ...

The lightweight version of Deep Research for users of the free app uses OpenAI's o4-mini model which will deliver responses that the AI company says are "nearly as intelligent" as the full version of ...

Qwen-QwQ - Qwen 2.5 official repository, with QwQ. S1 from stanford - From Feifei Li team, a distillation and test-time compute impl which can match the performance of O1 and R1.

The data entry agent in Power Apps and Dynamics 365 model-driven apps makes filling out forms quicker ... A summary of product, community, and learning updates from throughout the month so you can ...

Integrating long-context capabilities with visual understanding significantly enhances the potential of VLMs, particularly in domains such as robotics, autonomous driving, and healthcare. Expanding ...