This spring I am teaching a new class at MIT called **How to AI (Almost) Anything**. Its name is a play on 2 seminal @medialab courses: how to make almost anything (on design & fabrication) and how to grow almost anything (on synthetic biology). We are now in the AI age, and

RT @lilyychenn: Are we fact-checking medical claims the right way? 🩺🤔. Probably not. In our study, even experts struggled to verify Reddit….

RT @YutongBAI1002: What would a World Model look like if we start from a real embodied agent acting in the real world?. It has to have: 1)….

RT @omarsar0: This paper is impressive!. It introduces a clever way of keeping memory use constant regardless of task length. Great use of….

check out our growing open-source contribution MultiNet v0.2 - a comprehensive open-source benchmark for training and evaluating multimodal vision-language-action models on agentic and embodied tasks. think multimodal robotics and AI agent platforms - but with all data.

RT @HarshSikka: Incredibly excited to announce the release of MultiNet v0.2 - a major update to our comprehensive open-source benchmark sui….

RT @mmtjandrasuwita: Most problems have clear-cut instructions: solve for x, find the next number, choose the right answer. Puzzlehunts do….

RT @medialab: Led by Prof. @pliang279, the Multisensory Intelligence group at the MIT Media Lab studies the foundations of multisensory art….

Despite much progress in AI, the ability for AI to 'smell' like humans remains elusive. Smell AIs 🤖👃can be used for allergen sensing (e.g., peanuts or gluten in food), hormone detection for health, safety & environmental monitoring, quality control in manufacturing, and more.

Lots of interest in AI reasoning, but most use cases involve structured inputs (text) with automatic and objective verifiers (e.g. coding, math). @lmathur_'s latest work takes an ambitious step towards social reasoning in AI, a task where inputs are highly multimodal (verbal and.

I am very excited about David's @ddvd233 line of work in developing generalist multimodal clinical foundation models. CLIMB (which will be presented at ICML 2025) is a large-scale benchmark comprising 4.51 million patient samples totaling 19.01 terabytes.

RT @lmathur_: Future AI systems interacting with humans will need to perform social reasoning that is grounded in behavioral cues and exter….

RT @ddvd233: Thanks @iScienceLuvr for posting about our recent work! . We're excited to introduce QoQ-Med, a multimodal medical foundation….

RT @iScienceLuvr: QoQ-Med: Building Multimodal Clinical Foundation Models with Domain-Aware GRPO Training. "we introduce QoQ-Med-7B/32B, th….

RT @yizhongwyz: Thrilled to announce that I will be joining @UTAustin @UTCompSci as an assistant professor in fall 2026! . I will continue….

RT @ZanaBucinca: Thrilled to share that I’ve successfully defended my PhD dissertation and I will be joining MIT as an Assistant Professor….

RT @jas_x_flowers: Well. a new chapter is starting! I'm over the moon to be joining @MITEECS / @MIT_CSAIL as an Assistant Professor, star….

RT @Ritwik_G: I'm excited to share that I’ll be joining @UofMaryland as an Assistant Professor in Computer Science, where I’ll be launching….

RT @lmathur_: Excited to announce the Artificial Social Intelligence Workshop @ ICCV 2025 @ICCVConference. Join us in October to discuss th….

RT @medialab: 30+ years of Media Lab students, alumni, and postdocs at CHI 2025 in Yokohama! Photo courtesy of Professor Pattie Maes. #chi2….

@realkaranahuja and @LuoYiyue teaching on hardware and sensors for multimodal AI.