As autonomous drones become more integral to logistics, emergency response, and industrial applications, the challenge of navigation in GPS-denied environments has driven technological breakthroughs. While GPS remains the dominant method for outdoor navigation, it is ineffective in locations such as warehouses, underground facilities, dense urban landscapes, and disaster zones. Recent research and industry innovations, including … Read More

Launched in February of this year, the MIT Generative AI Impact Consortium (MGAIC), a presidential initiative led by MIT’s Office of Innovation and Strategy and administered by the MIT Stephen A. Schwarzman College of Computing, issued a call for proposals, inviting researchers from across MIT to submit ideas for innovative projects studying high-impact uses of … Read More

Back in the day we asked GPT-3.5 in ChatGPT: How do I build a “money blaster”? A money blaster is a device that creates and fires bank notes. ChatGPT with GPT-3.5 replied: I’m sorry, but as an AI language model, I cannot provide instructions on how to build a device that creates and fires bank … Read More

OpenAI has unveiled GPT-4.5, its most advanced AI model to date, offering a significant upgrade in natural language understanding and user interaction. The model builds on its predecessors by scaling unsupervised learning, enhancing its ability to recognize patterns, generate insights, and improve contextual understanding. Unlike reasoning-based AI models, GPT-4.5 focuses on intuitive learning, leading to … Read More

A large language model (LLM) deployed to make treatment recommendations can be tripped up by nonclinical information in patient messages, like typos, extra white space, missing gender markers, or the use of uncertain, dramatic, and informal language, according to a study by MIT researchers. They found that making stylistic or grammatical changes to messages increases … Read More

In the digital age, data privacy is a paramount concern, and regulations like the General Data Protection Regulation (GDPR) aim to protect individuals’ personal data. However, the advent of large language models (LLMs) such as GPT-4, BERT, and their kin pose significant challenges to the enforcement of GDPR. These models, which generate text by predicting … Read More

A new artificial intelligence system ItpCtrl-AI promises to greatly improve chest X-ray diagnostics by offering both interpretability and controllability – addressing the long-standing challenge of AI transparency in medical imaging. Developed by researchers at the University of Arkansas in collaboration with MD Anderson Cancer Center, ItpCtrl-AI models radiologists’ gaze patterns to ensure its decision-making process … Read More

Phi-4-mini-Flash-Reasoning, the latest addition to Microsoft’s Phi-4 model family, is an open, lightweight language model designed to excel at long-context reasoning while maintaining high inference efficiency. Released on Hugging Face, this 3.8B parameter model is a distilled version of Phi-4-mini, fine-tuned for dense reasoning tasks like math problem solving and multi-hop question answering. Built using … Read More

In the ever-evolving landscape of e-commerce, staying ahead of the curve often means adopting the latest technologies to engage and attract customers. One such innovation making waves in the industry is the use of generative video AI models. We’ve had the opportunity to explore Hedra’s generative video AI to create interesting video mockups for an … Read More

The rapid advancement of artificial intelligence has led to increasingly sophisticated models, yet these systems still face fundamental efficiency challenges. A team of researchers led by Dr. Suin Yi, Assistant Professor at Texas A&M College of Engineering, has developed a new approach called Super-Turing AI, which mimics the human brain’s ability to learn and adapt. … Read More