Mit.edu [artificial-intelligence]

Found 333 news

• How AI is improving simulations with smarter sampling techniques

  Mit.edu [artificial-intelligence] - 15:50 Oct 02, 2024
  

  MIT CSAIL researchers created an AI-powered method for low-discrepancy sampling, which uniformly distributes data points to boost simulation accuracy.

• Q&A: A new initiative to help strengthen democracy

  Mit.edu [artificial-intelligence] - 17:30 Oct 01, 2024
  

  David Singer, head of the MIT Department of Political Science, discusses the Strengthening Democracy Initiative, focused on the rigorous study of elections, public opinion, and political participation.

• AI simulation gives people a glimpse of their potential future self

  Mit.edu [artificial-intelligence] - 04:00 Oct 01, 2024
  

  By enabling users to chat with an older version of themselves, Future You is aimed at reducing anxiety and guiding young people to make better choices.

• AI pareidolia: Can machines spot faces in inanimate objects?

  Mit.edu [artificial-intelligence] - 13:00 Sep 30, 2024
  

  New dataset of “illusory” faces reveals differences between human and algorithmic face detection, links to animal face recognition, and a formula predicting where people most often perceive faces.

• Helping robots zero in on the objects that matter

  Mit.edu [artificial-intelligence] - 04:00 Sep 30, 2024
  

  A new method called Clio enables robots to quickly map a scene and identify the items they need to complete a given set of tasks.

• MIT launches new Music Technology and Computation Graduate Program

  Mit.edu [artificial-intelligence] - 15:55 Sep 27, 2024
  

  The program will invite students to investigate new vistas at the intersection of music, computing, and technology.

• New security protocol shields data from attackers during cloud-based computation

  Mit.edu [artificial-intelligence] - 04:00 Sep 26, 2024
  

  The technique leverages quantum properties of light to guarantee security while preserving the accuracy of a deep-learning model.

• Fifteen Lincoln Laboratory technologies receive 2024 R&D 100 Awards

  Mit.edu [artificial-intelligence] - 17:25 Sep 24, 2024
  

  The innovations map the ocean floor and the brain, prevent heat stroke and cognitive injury, expand AI processing and quantum system capabilities, and introduce new fabrication approaches.

• 3 Questions: Should we label AI systems like we do prescription drugs?

  Mit.edu [artificial-intelligence] - 15:00 Sep 24, 2024
  

  Researchers argue that in health care settings, “responsible use” labels could ensure AI systems are deployed appropriately.

• Accelerating particle size distribution estimation

  Mit.edu [artificial-intelligence] - 20:50 Sep 23, 2024
  

  MIT researchers speed up a novel AI-based estimator for medication manufacturing by 60 times.

• New AI JetPack accelerates the entrepreneurial process

  Mit.edu [artificial-intelligence] - 17:00 Sep 19, 2024
  

  The digital adviser helps users swiftly navigate the 24-step “Disciplined Entrepreneurship” process.

• AI model can reveal the structures of crystalline materials

  Mit.edu [artificial-intelligence] - 16:00 Sep 19, 2024
  

  By analyzing X-ray crystallography data, the model could help researchers develop new materials for many applications, including batteries and magnets.

• Study: AI could lead to inconsistent outcomes in home surveillance

  Mit.edu [artificial-intelligence] - 04:00 Sep 19, 2024
  

  Researchers find large language models make inconsistent decisions about whether to call the police when analyzing surveillance videos.

• Enhancing LLM collaboration for smarter, more efficient solutions

  Mit.edu [artificial-intelligence] - 20:30 Sep 16, 2024
  

  “Co-LLM” algorithm helps a general-purpose AI model collaborate with an expert large language model by combining the best parts of both answers, leading to more factual responses.

• A fast and flexible approach to help doctors annotate medical scans

  Mit.edu [artificial-intelligence] - 20:25 Sep 09, 2024
  

  “ScribblePrompt” is an interactive AI framework that can efficiently highlight anatomical structures across different medical scans, assisting medical workers to delineate regions of interest and abnormalities.

• Study: Transparency is often lacking in datasets used to train large language models

  Mit.edu [artificial-intelligence] - 09:00 Aug 30, 2024
  

  Researchers developed an easy-to-use tool that enables an AI practitioner to find data that suits the purpose of their model, which could improve accuracy and reduce bias.

• A framework for solving parabolic partial differential equations

  Mit.edu [artificial-intelligence] - 20:30 Aug 28, 2024
  

  A new algorithm solves complicated partial differential equations by breaking them down into simpler problems, potentially guiding computer graphics and geometry processing.


• First AI + Education Summit is an international push for “AI fluency”

  Mit.edu [artificial-intelligence] - 08:30 Aug 27, 2024
  

  The three-day, hands-on conference hosted by the MIT RAISE Initiative welcomed youths and adults from nearly 30 countries.

• 3 Questions: How to prove humanity online

  Mit.edu [artificial-intelligence] - 04:00 Aug 16, 2024
  

  AI agents could soon become indistinguishable from humans online. Could “personhood credentials” protect people against digital imposters?

• New open-source tool helps to detangle the brain

  Mit.edu [artificial-intelligence] - 18:30 Aug 14, 2024
  

  The software tool NeuroTrALE is designed to quickly and efficiently process large amounts of brain imaging data semi-automatically.

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