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With their DMD method, MIT researchers created a one-step AI image generator that achieves image quality comparable to StableDiffusion v1.5 while being 30 times faster (Credits: Illustration by Alex Shipps/MIT CSAIL using six AI-generated images developed by researchers).
CSAIL article

In our current age of artificial intelligence, computers can generate their own “art” by way of diffusion models, iteratively adding structure to a noisy initial state until a clear image or video emerges. Diffusion models have suddenly grabbed a seat at everyone’s table: Enter a few words and experience instantaneous, dopamine-spiking dreamscapes at the intersection of reality and fantasy. Behind the scenes, it involves a complex, time-intensive process requiring numerous iterations for the algorithm to perfect the image.

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alt="FeatUp is an algorithm that upgrades the resolution of deep networks for improved performance in computer vision tasks such as object recognition, scene parsing, and depth measurement (Credits: Mark Hamilton and Alex Shipps/MIT CSAIL, top image via Unsplash)."
CSAIL article

Imagine yourself glancing at a busy street for a few moments, then trying to sketch the scene you saw from memory. Most people could draw the rough positions of the major objects like cars, people, and crosswalks, but almost no one can draw every detail with pixel-perfect accuracy. The same is true for most modern computer vision algorithms: They are fantastic at capturing high-level details of a scene, but they lose fine-grained details as they process information.

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alt="MIT CSAIL postdoc Nauman Dawalatabad presents an optimistic future of AI-created voices across various sectors (Image: Alex Shipps/MIT CSAIL)."
CSAIL article

Audio deepfakes have had a recent bout of bad press after an artificial intelligence-generated robocall purporting to be the voice of Joe Biden hit up New Hampshire residents, urging them not to cast ballots. Meanwhile, spear-phishers — phishing campaigns that target a specific person or group, especially using information known to be of interest to the target — go fishing for money, and actors aim to preserve their audio likeness.

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CSAIL article

MIT professor of electrical engineering and computer science (EECS) and Computer Science and Artificial Intelligence Laboratory (CSAIL) member Vinod Vaikuntanathan was one of four outstanding undergraduate teachers and mentors have been named MacVicar Faculty Fellows. He joins professor of EECS Karl Berggren, professor of political science Andrea Campbell, and associate professor of music Emily Richmond Pollock in receiving the honor.