Latest from MIT : This tiny chip can safeguard user data while enabling efficient computing on a smartphone

Health-monitoring apps can help people manage chronic diseases or stay on track with fitness goals, using nothing more than a smartphone. However, these apps can be slow and energy-inefficient because the vast machine-learning models that power them must be shuttled between a smartphone and a central memory server. Engineers often speed things up using hardware…

Latest from MIT : To build a better AI helper, start by modeling the irrational behavior of humans

To build AI systems that can collaborate effectively with humans, it helps to have a good model of human behavior to start with. But humans tend to behave suboptimally when making decisions. This irrationality, which is especially difficult to model, often boils down to computational constraints. A human can’t spend decades thinking about the ideal…

Latest from MIT : Advancing technology for aquaculture

According to the National Oceanic and Atmospheric Administration, aquaculture in the United States represents a $1.5 billion industry annually. Like land-based farming, shellfish aquaculture requires healthy seed production in order to maintain a sustainable industry. Aquaculture hatchery production of shellfish larvae — seeds — requires close monitoring to track mortality rates and assess health from the earliest…

Latest from MIT : Using deep learning to image the Earth’s planetary boundary layer

Although the troposphere is often thought of as the closest layer of the atmosphere to the Earth’s surface, the planetary boundary layer (PBL) — the lowest layer of the troposphere — is actually the part that most significantly influences weather near the surface. In the 2018 planetary science decadal survey, the PBL was raised as an…

Latest from MIT Tech Review – Researchers taught robots to run. Now they’re teaching them to walk

We’ve all seen videos over the past few years demonstrating how agile humanoid robots have become, running and jumping with ease. We’re no longer surprised by this kind of agility—in fact, we’ve grown to expect it. The problem is, these shiny demos lack real-world applications. When it comes to creating robots that are useful and…

Latest from MIT : 3 Questions: Enhancing last-mile logistics with machine learning

Across the country, hundreds of thousands of drivers deliver packages and parcels to customers and companies each day, with many click-to-door times averaging only a few days. Coordinating a supply chain feat of this magnitude in a predictable and timely way is a longstanding problem of operations research, where researchers have been working to optimize…

Latest from MIT Tech Review – Three reasons robots are about to become more way useful 

This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. The holy grail of robotics since the field’s beginning has been to build a robot that can do our housework. But for a long time, that has just been a dream….

Latest from MIT : New AI method captures uncertainty in medical images

In biomedicine, segmentation involves annotating pixels from an important structure in a medical image, like an organ or cell. Artificial intelligence models can help clinicians by highlighting pixels that may show signs of a certain disease or anomaly. However, these models typically only provide one answer, while the problem of medical image segmentation is often…