AI News
AI-designed DNA controls genes in healthy mammalian cells for first time
A recent study marks the first reported instance of generative AI designing synthetic molecules that can successfully control gene expression in healthy mammalian cells. As a proof-of-concept, the authors of the study asked the AI to design synthetic fragments which activate a gene coding for a fluorescent protein in some cells while leaving gene expression patterns unaltered. They created the fragments from scratch and dropped them into mouse blood cells, where the sequence fused with the genome at random locations. The experiments worked exactly as predicted and pave the way for new strategies to give instructions to a cell and guide how they develop and behave with unprecedented accuracy.
Breakthrough discovery uses gut bacteria and AI to diagnose a chronic pain syndrome
Researchers have developed AI technology that can detect patterns in gut bacteria to identify complex regional pain syndrome (CRPS) with remarkable accuracy, potentially transforming how CRPS is diagnosed and treated.
How AI tools can improve manufacturing worker safety, product quality
Recent artificial intelligence advances have largely focused on text, but AI increasingly shows promise in other contexts, including manufacturing and the service industry. In these sectors, targeted AI improvements can improve product quality and worker safety, according to a new study.
Hybrid AI model crafts smooth, high-quality videos in seconds
The CausVid generative AI tool uses a diffusion model to teach an autoregressive (frame-by-frame) system to rapidly produce stable, high-resolution videos.
Text-to-video AI blossoms with new metamorphic video capabilities
Computer scientists have developed a new AI text-to-video model that learns real-world physics knowledge from time-lapse videos.
Q&A: A roadmap for revolutionizing health care through data-driven innovation
A new book coauthored by MIT’s Dimitris Bertsimas explores how analytics is driving decisions and outcomes in health care.
New tool evaluates progress in reinforcement learning
“IntersectionZoo,” a benchmarking tool, uses a real-world traffic problem to test progress in deep reinforcement learning algorithms.
Novel AI model inspired by neural dynamics from the brain
New type of “state-space model” leverages principles of harmonic oscillators.
Making AI models more trustworthy for high-stakes settings
A new method helps convey uncertainty more precisely, which could give researchers and medical clinicians better information to make decisions.
Essay challenge: ChatGPT vs students
Researchers have been putting ChatGPT essays to the test against real students. A new study reveals that the AI generated essays don't yet live up to the efforts of real students. While the AI essays were found to be impressively coherent and grammatically sound, they fell short in one crucial area -- they lacked a personal touch. It is hoped that the findings could help educators spot cheating in schools, colleges and universities worldwide by recognizing machine-generated essays.
The MIT-Portugal Program enters Phase 4
New phase will support continued exploration of ideas and solutions in fields ranging from AI to nanotech to climate — with emphasis on educational exchanges and entrepreneurship.
How can we optimize solid-state batteries? Try asking AI
Researchers have developed a data-driven AI framework that gives scientists a head start by suggesting ideal candidate materials.
'Explainable' AI cracks secret language of sticky proteins
An AI tool has made a step forward in translating the language proteins use to dictate whether they form sticky clumps similar to those linked to Alzheimer's Disease and around fifty other types of human disease. In a departure from typical 'black-box' AI models, the new tool, CANYA, was designed to be able to explain its decisions, revealing the specific chemical patterns that drive or prevent harmful protein folding.
New AI model improves MS diagnostics
To provide the right treatment for MS, it is important to know when the disease changes from relapsing-remitting to secondary progressive, a transition that is currently recognized on average three years too late. Researchers have now developed an AI model that can determine with 90 per cent certainty which variant the patient has.
Merging design and computer science in creative ways
MAD Fellow Alexander Htet Kyaw connects humans, machines, and the physical world using AI and augmented reality.
Novel method detects microbial contamination in cell cultures
Ultraviolet light “fingerprints” on cell cultures and machine learning can provide a definitive yes/no contamination assessment within 30 minutes.
Artificial intelligence enhances air mobility planning
Lincoln Laboratory is transitioning tools to the 618th Air Operations Center to streamline global transport logistics.
AI model for thyroid cancer diagnosis, with over 90% accuracy and reduced consultation preparation time
An interdisciplinary research team has unveiled the world's first artificial intelligence (AI) model designed to classify both the cancer stage and risk category of thyroid cancer, achieving impressive accuracy exceeding 90%. This innovative AI model promises to significantly cut frontline clinicians' pre-consultation preparation time by approximately 50%, aligning with the HKSAR Government's initiative to harness AI technology in healthcare.
Hidden mechanisms in next-generation AI memory device
As artificial intelligence (AI) continues to advance, researchers have identified a breakthrough that could make AI technologies faster and more efficient.
Awkward. Humans are still better than AI at reading the room
Humans are better than current AI models at interpreting social interactions and understanding social dynamics in moving scenes. Researchers believe this is because AI neural networks were inspired by the infrastructure of the part of the brain that processes static images, which is different from the area of the brain that processes dynamic social scenes.
