Smart Phone app called Dieta

Deep Doo-Doo: AI App Diagnoses Poop Better Than People

People who suffer from gastrointestinal conditions such as irritable bowel syndrome are number two when it comes to describing the characteristics of their own poop.
Illustration of group of faceless people and two people with visible faces

K-Means Clustering: Group Think - K-Means Clustering for Machine Learning Explained

If you’re standing close to others at a party, it’s likely you have something in common. This is the idea behind using k-means clustering to split data points into groups. Whether the groups formed via human agency or some other force, this algorithm will find them.
Man sitting on a tree with a monkey and a gorilla

Decision Trees: From Root to Leaves — Decision Trees for Machine Learning Explained

What kind of beast was Aristotle? The philosopher's follower Porphyry, who lived in Syria during the third century, came up with a logical way to answer the question...
Shifted Patch Tokenization (SPT) | Locality Self-Attention (LSA)

Less Data for Vision Transformers: Boosting Vision Transformer Performance with Less Data

Vision Transformer (ViT) outperformed convolutional neural networks in image classification, but it required more training data. New work enabled ViT and its variants to outperform other architectures with less training data.
Diagram with automated decision systems

Roadblocks to Regulation: Why laws to regulate AI usually fail.

Most U.S. state agencies use AI without limits or oversight. An investigative report probed reasons why efforts to rein them in have made little headway. Since 2018, nearly every proposed bill aimed at studying or controlling how state agencies use automated decision systems.
A living room made out of cups of coffee: the people, the seats, the chimney, the lamp, all gather around a cozy fire.

One Architecture to Do Them All: Transformer: The AI architecture that can do it all.

The transformer architecture extended its reach to a variety of new domains.What happened: Originally developed for natural language processing, transformers are becoming the Swiss Army Knife of deep learning.
Illustration of a woman riding a sled

Multimodal AI Takes Off: Multimodal Models, such as CLIP and DALL·E, are taking over AI.

While models like GPT-3 and EfficientNet, which work on text and images respectively, are responsible for some of deep learning’s highest-profile successes, approaches that find relationships between text and images made impressive
An illustration shows a cozy cabin where all the furniture is made out of coffee mugs.

Transformers Take Over: Transformers Applied to Vision, Language, Video, and More

In 2021, transformers were harnessed to discover drugs, recognize speech, and paint pictures — and much more.
Computer vision from SewerAI identifies flaws in water pipes.

AI Goes Underground: Computer Vision From SewerAI Classifies Defective Pipes

A system from California startup SewerAI analyzes videos of underground pipes to prioritize those in need of repair.
Animated image showing the transformer architecture of processing an image

Transformer Speed-Up Sped Up: How to Speed Up Image Transformers

The transformer architecture is notoriously inefficient when processing long sequences — a problem in processing images, which are essentially long sequences of pixels. One way around this is to break up input images and process the pieces
Animation showing Hierarchical Outlier Detection (HOD)

Oddball Recognition: New Method Identifies Outliers in AI Training Data

Models trained using supervised learning struggle to classify inputs that differ substantially from most of their training data. A new method helps them recognize such outliers.
Video showing diagnostic system VirtuSense Balance working

Risk Reduction for Elders: AI System Helps Elderly Stay on Their Feet

Deep learning is helping to protect elderly people from potentially catastrophic tumbles.What’s happening: More than 2,000 senior living facilities across the U.S. use a diagnostic system called VirtuSense Balance
Video showing ShotSpotter in action

Shots in the Dark: Evidence shows Shotspotter altered evidence for police.

A crime-fighting AI company altered evidence to please police, a new investigation claims — the latest in a rising chorus of criticism. ShotSpotter modified the system’s findings in some cases.
Simpler multilayer neural network

Revenge of the Perceptrons: Perceptrons do some AI tasks on par with complex AI.

Why use a complex model when a simple one will do? New work shows that the simplest multilayer neural network, with a small twist, can perform some tasks as well as today’s most sophisticated architectures.
Series of imagen showing how an insect-sorting robot works

Bugbot: How AI can help with the insect biodiversity crisis.

An insect-sorting robot could help scientists grapple with the global biodiversity crisis. An automated insect classifier sucks in tiny arthropods, classifies them, and maps their most important identifying features.

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