Mit.edu [artificial-intelligence]

Found 610 news

• Speeding up drug discovery with diffusion generative models

  Mit.edu [artificial-intelligence] - 13:55 Mar 31, 2023
  

  MIT researchers built DiffDock, a model that may one day be able to find new drugs faster than traditional methods and reduce the potential for adverse side effects.

• A method for designing neural networks optimally suited for certain tasks

  Mit.edu [artificial-intelligence] - 19:30 Mar 30, 2023
  

  With the right building blocks, machine-learning models can more accurately perform tasks like fraud detection or spam filtering.

• Bacterial injection system delivers proteins in mice and human cells

  Mit.edu [artificial-intelligence] - 15:00 Mar 29, 2023
  

  With further development, the programmable system could be used in a range of applications including gene and cancer therapies.

• Learning to grow machine-learning models

  Mit.edu [artificial-intelligence] - 04:00 Mar 22, 2023
  

  New LiGO technique accelerates training of large machine-learning models, reducing the monetary and environmental cost of developing AI applications.

• Detailed images from space offer clearer picture of drought effects on plants

  Mit.edu [artificial-intelligence] - 20:15 Mar 20, 2023
  

  J-WAFS researchers are using remote sensing observations to build high-resolution systems to monitor drought.

• Mining the right transition metals in a vast chemical space

  Mit.edu [artificial-intelligence] - 20:55 Mar 13, 2023
  

  Computational chemists design better ways of discovering and designing materials for energy applications.

• New method accelerates data retrieval in huge databases

  Mit.edu [artificial-intelligence] - 04:00 Mar 13, 2023
  

  Researchers used machine learning to build faster and more efficient hash functions, which are a key component of databases.

• MIT professor to Congress: “We are at an inflection point” with AI

  Mit.edu [artificial-intelligence] - 14:00 Mar 10, 2023
  

  Aleksander Mądry urges lawmakers to ask rigorous questions about how AI tools are being used by corporations.

• Matthew Kearney: Bringing AI and philosophy into dialogue

  Mit.edu [artificial-intelligence] - 05:00 Mar 10, 2023
  

  The computer science and philosophy double-major aims to advance the field of AI ethics.

• Creating a versatile vaccine to take on Covid-19 in its many guises

  Mit.edu [artificial-intelligence] - 18:35 Mar 09, 2023
  

  Aided by machine learning, scientists are working to develop a vaccine that would be effective against all SARS-Cov-2 strains.

• New insights into training dynamics of deep classifiers

  Mit.edu [artificial-intelligence] - 20:00 Mar 08, 2023
  

  MIT researchers uncover the structural properties and dynamics of deep classifiers, offering novel explanations for optimization, generalization, and approximation in deep networks.

• Large language models are biased. Can logic help save them?

  Mit.edu [artificial-intelligence] - 14:00 Mar 03, 2023
  

  MIT researchers trained logic-aware language models to reduce harmful stereotypes like gender and racial biases.

• Robot armies duke it out in Battlecode’s epic on-screen battles

  Mit.edu [artificial-intelligence] - 05:00 Mar 03, 2023
  

  The long-running programming competition encourages skills and friendships that last a lifetime.

• Integrating humans with AI in structural design

  Mit.edu [artificial-intelligence] - 05:00 Mar 02, 2023
  

  A process that seeks feedback from human specialists proves more effective at optimization than automated systems working alone.

• MIT-Takeda Program heads into fourth year with crop of 10 new projects

  Mit.edu [artificial-intelligence] - 19:30 Feb 27, 2023
  

  The program leverages MIT’s research expertise and Takeda’s industrial know-how for research in artificial intelligence and medicine.

• Efficient technique improves machine-learning models’ reliability

  Mit.edu [artificial-intelligence] - 05:00 Feb 13, 2023
  

  The method enables a model to determine its confidence in a prediction, while using no additional data and far fewer computing resources than other methods.

• Helping companies deploy AI models more responsibly

  Mit.edu [artificial-intelligence] - 18:00 Feb 10, 2023
  

  MIT spinout Verta offers tools to help companies introduce, monitor, and manage machine-learning models safely and at scale.

• 3 Questions: Leo Anthony Celi on ChatGPT and medicine

  Mit.edu [artificial-intelligence] - 19:00 Feb 09, 2023
  

  The chatbot’s success on the medical licensing exam shows that the test — and medical education — are flawed, Celi says.

• Solving a machine-learning mystery

  Mit.edu [artificial-intelligence] - 05:00 Feb 07, 2023
  

  A new study shows how large language models like GPT-3 can learn a new task from just a few examples, without the need for any new training data.

• Automating the math for decision-making under uncertainty

  Mit.edu [artificial-intelligence] - 22:00 Feb 06, 2023
  

  A new tool brings the benefits of AI programming to a much broader class of problems.

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