Artificial Intelligence (AI)
New tool evaluates progress in reinforcement learning
If there’s one thing that characterizes driving in any major city, it’s the constant stop-and-go as traffic lights change and as cars and trucks merge and separate and turn and park. This constant stopping and starting is extremely inefficient, driving up the amount of pollution, including greenhouse gases, that gets emitted per mile of driving. …
LightOn AI Released GTE-ModernColBERT-v1: A Scalable Token-Level Semantic Search Model for Long-Document Retrieval and Benchmark-Leading Performance
Semantic retrieval focuses on understanding the meaning behind text rather than matching keywords, allowing systems to provide results that align with user intent. This ability is essential across domains that depend on large-scale information retrieval, such as scientific research, legal analysis, and digital assistants. Traditional keyword-based methods fail to capture the nuance of human language,…
DeepSeek-Prover-V2: Bridging the Gap Between Informal and Formal Mathematical Reasoning
While DeepSeek-R1 has significantly advanced AI’s capabilities in informal reasoning, formal mathematical reasoning has remained a challenging task for AI. This is primarily because producing verifiable mathematical proof requires both deep conceptual understanding and the ability to construct precise, step-by-step logical arguments. Recently, however, significant advancement is made in this direction as researchers at DeepSeek-AI…
Measuring perception in AI models
New benchmark for evaluating multimodal systems based on real-world video, audio, and text data From the Turing test to ImageNet, benchmarks have played an instrumental role in shaping artificial intelligence (AI) by helping define research goals and allowing researchers to measure progress towards those goals. Incredible breakthroughs in the past 10 years, such as AlexNet…
Q&A: A roadmap for revolutionizing health care through data-driven innovation
What if data could help predict a patient’s prognosis, streamline hospital operations, or optimize human resources in medicine? A book fresh off the shelves, “The Analytics Edge in Healthcare,” shows that this is already happening, and demonstrates how to scale it. Authored by Dimitris Bertsimas, MIT’s vice provost for open learning, along with two of Bertsimas’…
Ming-Lite-Uni: An Open-Source AI Framework Designed to Unify Text and Vision through an Autoregressive Multimodal Structure
Multimodal AI rapidly evolves to create systems that can understand, generate, and respond using multiple data types within a single conversation or task, such as text, images, and even video or audio. These systems are expected to function across diverse interaction formats, enabling more seamless human-AI communication. With users increasingly engaging AI for tasks like…
DeepSeek-GRM: Revolutionizing Scalable, Cost-Efficient AI for Businesses
Many businesses struggle to adopt Artificial Intelligence (AI) due to high costs and technical complexity, making advanced models inaccessible to smaller organizations. DeepSeek-GRM addresses this challenge to improve AI efficiency and accessibility, helping bridge this gap by refining how AI models process and generate responses. The model employs Generative Reward Modeling (GRM) to guide AI…
Stopping malaria in its tracks
Impact Published 13 October 2022 Developing a better malaria vaccine with the help of AI that could save hundreds of thousands of lives every year When biochemist Matthew Higgins established his research group in 2006, he had malaria firmly in his sights. The mosquito-borne disease is second only to tuberculosis in terms of its devastating…
Hybrid AI model crafts smooth, high-quality videos in seconds
What would a behind-the-scenes look at a video generated by an artificial intelligence model be like? You might think the process is similar to stop-motion animation, where many images are created and stitched together, but that’s not quite the case for “diffusion models” like OpenAl’s SORA and Google’s VEO 2. Instead of producing a video…
OpenAI Releases a Strategic Guide for Enterprise AI Adoption: Practical Lessons from the Field
OpenAI has published a comprehensive 24-page document titled AI in the Enterprise, offering a pragmatic framework for organizations navigating the complexities of large-scale AI deployment. Rather than focusing on abstract theories, the report presents seven implementation strategies based on field-tested insights from collaborations with leading companies including Morgan Stanley, Klarna, Lowe’s, and Mercado Libre. The…