3D modeling you can feel
TactStyle, a system developed by CSAIL researchers, uses image prompts to replicate both the visual appearance and tactile properties of 3D models.
Manufacturing
A vision for U.S. science success
In a talk at MIT, White House science advisor Arati Prabhakar outlined challenges in medicine, climate, and AI, while expressing resolve to tackle hard problems.
Artificial intelligence meets “blisk” in new DARPA-funded collaboration
Collaborative multi-university team will pursue new AI-enhanced design tools and high-throughput testing methods for next-generation turbomachinery.
Accelerating particle size distribution estimation
MIT researchers speed up a novel AI-based estimator for medication manufacturing by 60 times.
HPI-MIT design research collaboration creates powerful teams
Together, the Hasso Plattner Institute and MIT are working toward novel solutions to the world’s problems as part of the Designing for Sustainability research program.
Most work is new work, long-term study of U.S. census data shows
The majority of U.S. jobs are in occupations that have emerged since 1940, MIT research finds — telling us much about the ways jobs are created and lost.
Does technology help or hurt employment?
Combing through 35,000 job categories in U.S. census data, economists found a new way to quantify technology’s effects on job loss and creation.
Build an end-to-end MLOps pipeline for visual quality inspection at the edge – Part 2 | Amazon Web Services
In Part 1 of this series, we drafted an architecture for an end-to-end MLOps pipeline for a visual quality inspection use case at the edge. It is architected to automate…
Build an end-to-end MLOps pipeline for visual quality inspection at the edge – Part 3 | Amazon Web Services
This is Part 3 of our series where we design and implement an MLOps pipeline for visual quality inspection at the edge. In this post, we focus on how to…
Build an end-to-end MLOps pipeline for visual quality inspection at the edge – Part 1 | Amazon Web Services
A successful deployment of a machine learning (ML) model in a production environment heavily relies on an end-to-end ML pipeline. Although developing such a pipeline can be challenging, it becomes…