Apple engineers developed an AI system that resolves complex references to on-screen entities and user conversations. The lightweight model could be an ideal solution for on-device virtual assistants. Humans are good at resolving references…
Apple is yet to officially release an AI model, but a new research paper gives an insight into the company’s progress in developing models with state-of-the-art…
Researchers from Dartmouth College developed MoodCapture, a smartphone app that uses AI to analyze facial features for early detection of depression. The stigma associated with mental…
Meta has released V-JEPA, a predictive vision model that is the next step toward Meta Chief AI Scientist Yann LeCun’s vision of advanced machine intelligence (AMI).…
Researchers from UC San Diego and New York University developed V*, an LLM-guided search algorithm that is a lot better than GPT-4V at contextual understanding, and…
Training AI models like GPT-4 has relied mostly on datasets consisting of text and images. Meta’s Ego-Exo4D multimodal perception dataset presents data scientists with a rich…
Training an AI image classifier or computer vision system requires access to a large dataset of images. MIT researchers have found a way to reduce our…
Multimodal Large Language Models (MLLM) like GPT-4V are really good at analyzing and describing images but sometimes they hallucinate and get things wrong. A new approach…
Luke Farritor, a 21-year-old computer science student from the University of Nebraska–Lincoln, has revealed the text inside a carbonized scroll from ancient Herculaneum. This scroll has…