AI Trends – Advance Trustworthy AI and ML, and Identify Best Practices for Scaling AI 

By John P. Desmond, AI Trends Editor   Advancing trustworthy AI and machine learning to mitigate agency risk is a priority for the US Department of Energy (DOE), and identifying best practices for implementing AI at scale is a priority for the US General Services Administration (GSA).   That’s what attendees learned in two sessions at the AI…

AI Trends – Promise and Perils of Using AI for Hiring: Guard Against Data Bias 

By AI Trends Staff   While AI in hiring is now widely used for writing job descriptions, screening candidates, and automating interviews, it poses a risk of wide discrimination if not implemented carefully.  Keith Sonderling, Commissioner, US Equal Opportunity Commission That was the message from Keith Sonderling, Commissioner with the US Equal Opportunity Commision, speaking at the AI…

AI Trends – Digital Natives Seen Having Advantages as Part of Government AI Engineering Teams 

By John P. Desmond, AI Trends Editor   AI is more accessible to young people in the workforce who grew up as ‘digital natives’ with Alexa and self-driving cars as part of the landscape, giving them expectations grounded in their experience of what is possible.   That idea set the foundation for a panel discussion at AI World…

AI Trends – Novelty In The Game Of Go Provides Bright Insights For AI And Autonomous Vehicles 

By Lance Eliot, the AI Trends Insider   We already expect that humans to exhibit flashes of brilliance. It might not happen all the time, but the act itself is welcomed and not altogether disturbing when it occurs.    What about when Artificial Intelligence (AI) seems to display an act of novelty? Any such instance is bound to get our attention;…

AI Trends – Predictive Maintenance Proving Out as Successful AI Use Case 

By John P. Desmond, AI Trends Editor   More companies are successfully exploiting predictive maintenance systems that combine AI and IoT sensors to collect data that anticipates breakdowns and recommends preventive action before break or machines fail, in a demonstration of an AI use case with proven value.   This growth is reflected in optimistic market forecasts….

Latest from MIT : One autonomous taxi, please

If you don’t get seasick, an autonomous boat might be the right mode of transportation for you.  Scientists from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) and the Senseable City Laboratory, together with Amsterdam Institute for Advanced Metropolitan Solutions (AMS Institute) in the Netherlands, have now created the final project in their self-navigating trilogy:…

Latest from MIT : Artificial intelligence sheds light on how the brain processes language

In the past few years, artificial intelligence models of language have become very good at certain tasks. Most notably, they excel at predicting the next word in a string of text; this technology helps search engines and texting apps predict the next word you are going to type. The most recent generation of predictive language…

Latest from MIT : Making machine learning more useful to high-stakes decision makers

The U.S. Centers for Disease Control and Prevention estimates that one in seven children in the United States experienced abuse or neglect in the past year. Child protective services agencies around the nation receive a high number of reports each year (about 4.4 million in 2019) of alleged neglect or abuse. With so many cases,…

Latest from MIT : 3 Questions: Blending computing with other disciplines at MIT

The demand for computing-related training is at an all-time high. At MIT, there has been a remarkable tide of interest in computer science programs, with heavy enrollment from students studying everything from economics to life sciences eager to learn how computational techniques and methodologies can be used and applied within their primary field. Launched in…

Latest from MIT : Dexterous robotic hands manipulate thousands of objects with ease

At just one year old, a baby is more dexterous than a robot. Sure, machines can do more than just pick up and put down objects, but we’re not quite there as far as replicating a natural pull toward exploratory or sophisticated dexterous manipulation goes.  Artificial intelligence firm OpenAI gave it a try with Dactyl…