BusinessWire: Encord Launches Open Source Active Learning Toolkit to Speed Up Real-World Applications of Computer Vision (PRESS RELEASE)

BusinessWire: Encord Launches Open Source Active Learning Toolkit to Speed Up Real-World Applications of Computer Vision (PRESS RELEASE). “Encord, the platform for data-centric computer vision, has released Encord Active, a free open source industry agnostic toolkit that enables machine learning (ML) engineers and data scientists to understand and improve their training data quality and help boost model performance.”

Western University News: AI tech exaggerates biases in facial age perception more than humans

Western University News: AI tech exaggerates biases in facial age perception more than humans. “Researchers from Western University and Ben-Gurion University of the Negev (Israel) tested a large sample of the prominent major AI technologies available today and found not only did they reproduce human biases in the recognition of facial age, but they exaggerated those biases.”

‘Learning to see and learning to read’: Artificial intelligence enters a new era (Princeton University)

Princeton University: ‘Learning to see and learning to read’: Artificial intelligence enters a new era. “For artificial intelligence to realize its potential — to relieve humans from mundane tasks, make life easier, and eventually invent entirely new solutions to our problems — computers will need to surpass us at two things that we humans do pretty well: see the world around us and understand our language.”

Stanford University: Is This a Deer I See? Socially Aware AI Adapts by Asking Questions of Humans

Stanford University: Is This a Deer I See? Socially Aware AI Adapts by Asking Questions of Humans. “… artificial intelligence agents are still largely only as good as the data upon which they were trained. They don’t know what they don’t know. In the real world, people faced with unfamiliar situations and surroundings adapt by watching what others around them are doing and by asking questions… Experts in educational psychology call this ‘socially situated learning.’ Until now, AI agents have lacked this ability to learn on the fly, but researchers at Stanford University recently announced that they have developed artificially intelligent agents with the ability to seek out new knowledge by asking people questions.

Introducing FathomNet: New open-source image database unlocks the power of AI for ocean exploration (MBARI)

Monterey Bay Aquarium Research Institute: Introducing FathomNet: New open-source image database unlocks the power of AI for ocean exploration. “As scientists and engineers develop advanced robotics that can visualize marine life and environments to monitor changes in the ocean’s health, they face a fundamental problem: The collection of images, video, and other visual data vastly exceeds researchers’ capacity for analysis. FathomNet is an open-source image database that uses state-of-the-art data processing algorithms to help process the backlog of visual data.”

Newswise: New Algorithm Can Identify Images of Alcohol in Electronic Media; Potential Tool to Limit Online Exposure to Alcohol Marketing

Newswise: New Algorithm Can Identify Images of Alcohol in Electronic Media; Potential Tool to Limit Online Exposure to Alcohol Marketing. “A new algorithm has been found to identify images of alcohol in electronic media with a high degree of accuracy. Possible applications for this algorithm include public health research to quantify exposure to images of alcohol and mobile or web applications to allow individuals to filter unwanted exposure to online alcohol advertising or alcohol-related content.”

Machine Vision Breakthrough: This Device Can See ‘Millions Of Colors’ (News@Northeastern)

News@Northeastern: Machine Vision Breakthrough: This Device Can See ‘Millions Of Colors’. “An interdisciplinary team of researchers at Northeastern have built a device that can recognize ‘millions of colors’ using new artificial intelligence techniques—a massive step, they say, in the field of machine vision, a highly specialized space with broad applications for a range of technologies.”

FathomNet: A global image database for enabling artificial intelligence in the ocean (Nature)

Nature: FathomNet: A global image database for enabling artificial intelligence in the ocean. “Recent advances in machine learning enables fast, sophisticated analysis of visual data, but have had limited success in the ocean due to lack of data standardization, insufficient formatting, and demand for large, labeled datasets. To address this need, we built FathomNet, an open-source image database that standardizes and aggregates expertly curated labeled data.”

Cornell Chronicle: Do trucks mean Trump? AI shows how humans misjudge images

Cornell Chronicle: Do trucks mean Trump? AI shows how humans misjudge images. “Researchers from Cornell and partner institutions analyzed more than 16 million human predictions of whether a neighborhood voted for Joe Biden or Donald Trump in the 2020 presidential election based on a single Google Street View image. They found that humans as a group performed well at the task, but a computer algorithm was better at distinguishing between Trump and Biden country. The study also classified common ways that people mess up, and identified objects – such as pickup trucks and American flags – that led people astray.”

EOS: New Landslide Reporting Tool Uses Social Media and AI

EOS: New Landslide Reporting Tool Uses Social Media and AI. “The team used machine learning to train the tool to identify landslides in photographs. For this, the geologists independently carried out an assessment of 11,737 images and manually marked each one as landslide or not a landslide. The resulting artificial intelligence tool can detect landslide reports with an accuracy of 76%. The tool is currently up and running and is intended to be used for disaster management, landslide research, climate change analysis, and global and national database studies.”

Caltech: New research “UNCOVERS” hidden objects in high resolution

Caltech: New research “UNCOVERS” hidden objects in high resolution. “The technology, developed in the laboratory of Changhuei Yang, Thomas G. Myers Professor of Electrical Engineering, Bioengineering, and Medical Engineering; and Heritage Medical Research Institute investigator, is a form of non-line-of-sight (NLOS) sensing—or sensing that detects an object of interest outside of the viewer’s line of sight. The new method, dubbed UNCOVER, does this by using nearby flat surfaces, such as walls, like a lens to clearly view the hidden object.”