Tech Talk: Natural Language Processing to Dominate the Digital Conversation

Natural language processing (NLP) has been transformed by the use of neural networks and deep learning, so that it’s now possible to build automated systems that can interact with people more naturally than ever before. Forward-looking businesses have gotten the message and are incorporating NLP into both customer-facing and internal operations.

4.8 — Hoaxes: The Original Fake News

P.T. Barnum made a name for himself in the 1830s attempting to pull one over on the American people. Hoaxes may have become more sophisticated since then, but the intent is still the same: fool people for some sort of gain. Follow the evolution of the hoax on Trailblazers.

What Robots Can’t Grasp

There are some things robots just can’t grasp. Literally. A team of engineers and data scientists at the University of California, Berkeley’s AUTOLAB is working to help these robots develop the know-how to pick up a range of oddly-shaped items.

These 3 AI-Powered Technologies May Innovate the Eldercare Industry

By 2060, the number of Americans over the age of 65 is expected to increase to more than 98 million. Learn about three AI-powered technologies that aim to change the level of care for this aging population with sophisticated wearables, hearing aid sensors and robots that help elderly people with dementia and other limitations.

Facial Recognition for Good: A Start-up Brings Emotional Intelligence to AI

Emotion recognition requires an enormous amount of data from a diverse population to help children diagnosed with autism spectrum disorder, distracted drivers and others. For people to partner with artificial intelligence, AI must learn the nuances of human communication. Teaching algorithms to read human faces and recognize emotions is an important step to building AI that we can trust—and that will trust us.

A Brief History of AI, From French Philosophy to Self-Driving Cars

Artificial intelligence and machines’ ability to reason to has come a long way since French philosopher René Descartes pontificated this concept nearly 400 years ago. Learn how significant amounts of research, government funding and increasing computational power has advanced human-machine partnerships to where they are today, and where they are headed next.

Remove Biases From Food Quality Inspections With AI

Miku Jha, Founder and CEO of AgShift, started thinking about “closing the gap between food and technology” in 2016 when California was facing a drought. Her solution to the food waste problem, particularly in the supply chain, is a digitized inspector called Hydra F100 BQ. This analyzer uses artificial intelligence to assess fruits’ quality, which provides an “unbiased pair of eyes,” speeds the inspection process and reduces food wastage.

3.16 – AI: What’s Hype? What’s Reality?

Host Walter Isaacson and guests trace the origins of AI, each milestone to date, and reveal how it’s evolving at lightning speed.

How Brainwaves May Take Consumer Insights to Another Dimension

Brainwave technology, AI and VR are changing the future of consumer insights, using brain data to drive product development, market research and a more personalized shopping experience. Headsets and software plus AI is creating a case of human and machine instead of human vs. machine.

Pentagon Projects Move Military into AI Arena

Artificial intelligence is changing the way the United States Department of Defense and the Pentagon does business. The recently created Joint Artificial Intelligence Center (JAIC) will focus on a wide variety of projects, such as using machine learning to label thousands of drone video images in its counterterrorism efforts.

How Robots Are Helping Scientists Predict Earthquake Aftershocks

Researchers analyzed hundreds of thousands of earthquakes to predict the location of aftershocks using machine learning to explore changes in ground stress.

Uncertain Intelligence: Can Programming Uncertainty into Machines Make Them Smarter—and More Ethical?

By Marty Graham, Contributor Forty years ago, Star Trek creators foresaw the unintended consequences of artificial intelligence. It began innocently …