Latest from MIT : Study: AI models fail to reproduce human judgements about rule violations

In an effort to improve fairness or reduce backlogs, machine-learning models are sometimes designed to mimic human decision making, such as deciding whether social media posts violate toxic content policies. But researchers from MIT and elsewhere have found that these models often do not replicate human decisions about rule violations. If models are not trained…

Latest from MIT : Inaugural J-WAFS Grand Challenge aims to develop enhanced crop variants and move them from lab to land

According to MIT’s charter, established in 1861, part of the Institute’s mission is to advance the “development and practical application of science in connection with arts, agriculture, manufactures, and commerce.” Today, the Abdul Latif Jameel Water and Food Systems Lab (J-WAFS) is one of the driving forces behind water and food-related research on campus, much…

Latest from Google AI – Building better pangenomes to improve the equity of genomics

Posted by Andrew Carroll, Product Lead, and Kishwar Shafin, Research Scientist, Genomics For decades, researchers worked together to assemble a complete copy of the molecular instructions for a human — a map of the human genome. The first draft was finished in 2000, but with several missing pieces. Even when a complete reference genome was…

Latest from MIT : Using reflections to see the world from new points of view

As a car travels along a narrow city street, reflections off the glossy paint or side mirrors of parked vehicles can help the driver glimpse things that would otherwise be hidden from view, like a child playing on the sidewalk behind the parked cars. Drawing on this idea, researchers from MIT and Rice University have…

Latest from MIT : Training machines to learn more like humans do

Imagine sitting on a park bench, watching someone stroll by. While the scene may constantly change as the person walks, the human brain can transform that dynamic visual information into a more stable representation over time. This ability, known as perceptual straightening, helps us predict the walking person’s trajectory. Unlike humans, computer vision models don’t…

Latest from MIT : After Amazon, an ambition to accelerate American manufacturing

After more than two decades as part of Amazon’s core leadership team, Jeff Wilke helped transform the way people buy almost everything. His next act is no less ambitious: proving that America can make just about anything. In March 2021, Wilke stepped down from his post as CEO of Amazon’s Worldwide Consumer business — encompassing…

Latest from Google AI – MaMMUT: A simple vision-encoder text-decoder architecture for multimodal tasks

Posted by AJ Piergiovanni and Anelia Angelova, Research Scientists, Google Research Vision-language foundational models are built on the premise of a single pre-training followed by subsequent adaptation to multiple downstream tasks. Two main and disjoint training scenarios are popular: a CLIP-style contrastive learning and next-token prediction. Contrastive learning trains the model to predict if image-text…

Latest from MIT : Researchers create a tool for accurately simulating complex systems

Researchers often use simulations when designing new algorithms, since testing ideas in the real world can be both costly and risky. But since it’s impossible to capture every detail of a complex system in a simulation, they typically collect a small amount of real data that they replay while simulating the components they want to…

Latest from MIT : Researchers develop novel AI-based estimator for manufacturing medicine

When medical companies manufacture the pills and tablets that treat any number of illnesses, aches, and pains, they need to isolate the active pharmaceutical ingredient from a suspension and dry it. The process requires a human operator to monitor an industrial dryer, agitate the material, and watch for the compound to take on the right…