This article is part of our reviews of AI research papers, a series of posts that explore the latest findings in artificial intelligence.
Creating machines that...
Machine learning systems thrive on finding and exploiting statistical regularities. This is why they can't do causal reasoning.
Researchers IBM, MIT, and Harvard University have released AGENT a dataset to evaluate the capacity of AI models to reason like children, by observing and making sense of the world.
A new paper by researchers at the MIT-IBM Watson AI Lab sheds light on the sensitivities of contrastive machine learning to adversarial attacks.
Researchers at UCSD show that combining model-free and model-based reinforcement learning improves performance on control tasks.
A study by researchers at OpenAI and the University of Oxford shows large language models can be calibrated to express their uncertainty in their answers.
With the introduction of low-code/no-code development, the doors of software development are finally being unlocked, enabling anyone to build custom apps regardless of their technical experience or literacy.
With generative AI, the line between discovering and creating images is blurring.
Needle procedures evoke fear and anxiety from your first trip to the doctor’s office. However, VR is changing that and reshaping the very essence of medical treatments.
Both Microsoft and Mistral AI stand to gain from their new partnership. But the bigger winner will be Microsoft with its enterprise LLM offerings.