Skip to the content

Open IA

AI News

  • Microsoft IA
  • Google IA
  • NVIDIA IA
  • Openai IA
  • MIT IA
  • DAIR.AI
  • TLDR.TECH
  • ScienceDaily IA
  • SiècleDigital IA
  • Developpez.com
  • BonPrompt.com
  • Toute l’IA
  • A propos
  • Microsoft IA
  • Google IA
  • NVIDIA IA
  • Openai IA
  • MIT IA
  • DAIR.AI
  • TLDR.TECH
  • ScienceDaily IA
  • SiècleDigital IA
  • Developpez.com
  • BonPrompt.com
  • Toute l’IA
  • A propos
  • Search

Tag

#School of Engineering

  • Fighting for the health of the planet with AI

    8 Oct
  • Printable aluminum alloy sets strength records, may enable lighter aircraft parts

    8 Oct
  • New prediction model could improve the reliability of fusion power plants

    8 Oct
  • AI maps how a new antibiotic targets gut bacteria

    8 Oct
  • Responding to the climate impact of generative AI

    8 Oct
  • AI system learns from many types of scientific information and runs experiments to discover new materials

    8 Oct
  • New AI system could accelerate clinical research

    8 Oct
  • New tool makes generative AI models more likely to create breakthrough materials

    8 Oct
  • What does the future hold for generative AI?

    8 Oct
  • How to build AI scaling laws for efficient LLM training and budget maximization

    8 Oct
  • Machine-learning tool gives doctors a more detailed 3D picture of fetal health

    8 Oct
  • DoE selects MIT to establish a Center for the Exascale Simulation of Coupled High-Enthalpy Fluid–Solid Interactions

    8 Oct
  • AI and machine learning for engineering design

    8 Oct
  • A greener way to 3D print stronger stuff

    8 Oct
  • A new generative AI approach to predicting chemical reactions

    8 Oct
  • 3 Questions: The pros and cons of synthetic data in AI

    8 Oct
  • 3 Questions: On biology and medicine’s “data revolution”

    8 Oct
  • MIT researchers develop AI tool to improve flu vaccine strain selection

    8 Oct
  • Can large language models figure out the real world?

    8 Oct
  • A new model predicts how molecules will dissolve in different solvents

    8 Oct
  • Researchers glimpse the inner workings of protein language models

    8 Oct
  • How AI could speed the development of RNA vaccines and other RNA therapies

    8 Oct
  • Using generative AI, researchers design compounds that can kill drug-resistant bacteria

    8 Oct
  • A new way to test how well AI systems classify text

    8 Oct
  • MIT gears up to transform manufacturing

    8 Oct
  • Eco-driving measures could significantly reduce vehicle emissions

    8 Oct
  • Helping data storage keep up with the AI revolution

    8 Oct
  • MIT tool visualizes and edits “physically impossible” objects

    8 Oct
  • New algorithms enable efficient machine learning with symmetric data

    8 Oct
  • “FUTURE PHASES” showcases new frontiers in music technology and interactive performance

    8 Oct
  • Robot, know thyself: New vision-based system teaches machines to understand their bodies

    8 Oct
  • A new way to edit or generate images

    8 Oct
  • The unique, mathematical shortcuts language models use to predict dynamic scenarios

    8 Oct
  • Model predicts long-term effects of nuclear waste on underground disposal systems

    8 Oct
  • Can AI really code? Study maps the roadblocks to autonomous software engineering

    8 Oct
  • How to more efficiently study complex treatment interactions

    8 Oct
  • New AI system uncovers hidden cell subtypes, boosts precision medicine

    8 Oct
  • Changing the conversation in health care

    8 Oct
  • AI shapes autonomous underwater “gliders”

    8 Oct
  • Study could lead to LLMs that are better at complex reasoning

    8 Oct
  • New postdoctoral fellowship program to accelerate innovation in health care

    8 Oct
  • Robotic probe quickly measures key properties of new materials

    8 Oct
  • Confronting the AI/energy conundrum

    8 Oct
  • Using generative AI to help robots jump higher and land safely

    8 Oct
  • MIT and Mass General Brigham launch joint seed program to accelerate innovations in health

    8 Oct
  • Merging AI and underwater photography to reveal hidden ocean worlds

    8 Oct
  • LLMs factor in unrelated information when recommending medical treatments

    8 Oct
  • Researchers present bold ideas for AI at MIT Generative AI Impact Consortium kickoff event

    8 Oct
  • Unpacking the bias of large language models

    8 Oct
  • A sounding board for strengthening the student experience

    8 Oct
  • Celebrating an academic-industry collaboration to advance vehicle technology

    8 Oct
  • Bringing meaning into technology deployment

    8 Oct
  • Photonic processor could streamline 6G wireless signal processing

    8 Oct
  • Have a damaged painting? Restore it in just hours with an AI-generated “mask”

    8 Oct
  • Inroads to personalized AI trip planning

    8 Oct
  • Melding data, systems, and society

    8 Oct
  • AI-enabled control system helps autonomous drones stay on target in uncertain environments

    8 Oct
  • Envisioning a future where health care tech leaves some behind

    8 Oct
  • Helping machines understand visual content with AI

    8 Oct
  • Teaching AI models what they don’t know

    8 Oct
  • AI stirs up the recipe for concrete in MIT study

    8 Oct
  • Teaching AI models the broad strokes to sketch more like humans do

    8 Oct
  • 3 Questions: How to help students recognize potential bias in their AI datasets

    8 Oct
  • Rationale engineering generates a compact new tool for gene therapy

    8 Oct
  • An anomaly detection framework anyone can use

    8 Oct
  • AI learns how vision and sound are connected, without human intervention

    8 Oct
  • Learning how to predict rare kinds of failures

    8 Oct
  • The sweet taste of a new idea

    8 Oct
  • With AI, researchers predict the location of virtually any protein within a human cell

    8 Oct
  • Study shows vision-language models can’t handle queries with negation words

    8 Oct
  • Hybrid AI model crafts smooth, high-quality videos in seconds

    8 Oct
  • New tool evaluates progress in reinforcement learning

    8 Oct
  • Novel AI model inspired by neural dynamics from the brain

    8 Oct
  • Making AI models more trustworthy for high-stakes settings

    8 Oct
  • The MIT-Portugal Program enters Phase 4

    8 Oct
  • Merging design and computer science in creative ways

    8 Oct
  • Novel method detects microbial contamination in cell cultures

    8 Oct
  • Designing a new way to optimize complex coordinated systems

    8 Oct
  • New model predicts a chemical reaction’s point of no return

    8 Oct
  • “Periodic table of machine learning” could fuel AI discovery

    8 Oct
  • 3D modeling you can feel

    8 Oct
  • Norma Kamali is transforming the future of fashion with AI

    8 Oct
  • MIT’s McGovern Institute is shaping brain science and improving human lives on a global scale

    8 Oct
  • Making AI-generated code more accurate in any language

    8 Oct
  • A faster way to solve complex planning problems

    8 Oct
  • Training LLMs to self-detoxify their language

    8 Oct
  • New method efficiently safeguards sensitive AI training data

    8 Oct
  • Could LLMs help design our next medicines and materials?

    8 Oct
  • New method assesses and improves the reliability of radiologists’ diagnostic reports

    8 Oct
  • Researchers teach LLMs to solve complex planning challenges

    8 Oct
  • For this computer scientist, MIT Open Learning was the start of a life-changing journey

    8 Oct
  • MIT Maritime Consortium sets sail

    8 Oct
  • AI tool generates high-quality images faster than state-of-the-art approaches

    8 Oct
  • At the core of problem-solving

    8 Oct
  • Making airfield assessments automatic, remote, and safe

    8 Oct
  • Robotic helper making mistakes? Just nudge it in the right direction

    8 Oct
  • 3 Questions: Visualizing research in the age of AI

    8 Oct
  • Markus Buehler receives 2025 Washington Award

    8 Oct
  • Collaborating to advance research and innovation on essential chips for AI

    8 Oct
  • AI system predicts protein fragments that can bind to or inhibit a target

    8 Oct

Older

© 2025 Open IA

Design Jean-Louis Maso

Gérer le consentement
Pour offrir les meilleures expériences, nous utilisons des technologies telles que les cookies pour stocker et/ou accéder aux informations des appareils. Le fait de consentir à ces technologies nous permettra de traiter des données telles que le comportement de navigation ou les ID uniques sur ce site. Le fait de ne pas consentir ou de retirer son consentement peut avoir un effet négatif sur certaines caractéristiques et fonctions.
Fonctionnel Toujours activé
L’accès ou le stockage technique est strictement nécessaire dans la finalité d’intérêt légitime de permettre l’utilisation d’un service spécifique explicitement demandé par l’abonné ou l’utilisateur, ou dans le seul but d’effectuer la transmission d’une communication sur un réseau de communications électroniques.
Préférences
L’accès ou le stockage technique est nécessaire dans la finalité d’intérêt légitime de stocker des préférences qui ne sont pas demandées par l’abonné ou l’internaute.
Statistiques
Le stockage ou l’accès technique qui est utilisé exclusivement à des fins statistiques. Le stockage ou l’accès technique qui est utilisé exclusivement dans des finalités statistiques anonymes. En l’absence d’une assignation à comparaître, d’une conformité volontaire de la part de votre fournisseur d’accès à internet ou d’enregistrements supplémentaires provenant d’une tierce partie, les informations stockées ou extraites à cette seule fin ne peuvent généralement pas être utilisées pour vous identifier.
Marketing
L’accès ou le stockage technique est nécessaire pour créer des profils d’internautes afin d’envoyer des publicités, ou pour suivre l’utilisateur sur un site web ou sur plusieurs sites web ayant des finalités marketing similaires.
Gérer les options Gérer les services Gérer {vendor_count} fournisseurs En savoir plus sur ces finalités
Voir les préférences
{title} {title} {title}