Artist Ariel Aberg-Riger is author of America Redux: Visual Stories From Our Dynamic History.
Researchers from the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) and Google Research may have just performed digital sorcery — in the form of a diffusion model that can change the material properties of objects in images. Dubbed Alchemist, the system allows users to alter four attributes of both real and AI-generated pictures: roughness,…
In this era of AI slop, the idea that generative AI tools like Midjourney and Runway could be used to make art can seem absurd: What possible artistic value is there to be found in the likes of Shrimp Jesus and Ballerina Cappuccina? But amid all the muck, there are people using AI tools with…
A new, multidisciplinary MIT graduate program in music technology and computation will feature faculty, labs, and curricula from across the Institute. The program is a collaboration between the Music and Theater Arts Section in the School of Humanities, Arts, and Social Sciences (SHASS); Department of Electrical Engineering and Computer Science (EECS) in the School of Engineering;…
The shortcomings of supervised RL Reinforcement Learning (RL) is a powerful paradigm for solving many problems of interest in AI, such as controlling autonomous vehicles, digital assistants, and resource allocation to name a few. We’ve seen over the last five years that, when provided with an extrinsic reward function, RL agents can master very complex…
Think about what happens when you onboard a new employee. First, you provision them tools. Email access. Slack. CRM. Office software. Project management software. Development environment. Connecting a person to the system they’ll need to do their job. However, this is necessary but not sufficient. Nobody becomes effective just because they can log into Salesforce….
Computational models that mimic the structure and function of the human auditory system could help researchers design better hearing aids, cochlear implants, and brain-machine interfaces. A new study from MIT has found that modern computational models derived from machine learning are moving closer to this goal. In the largest study yet of deep neural networks…