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In the Machine Learning Studio, visitors can use computer vision and machine learning applications to discover how machines learn and perceive their environment. Working with tech trainers, they can build and train self-driving model cars here, program robots with facial recognition, and gain insights into how they can teach these devices a wide variety of activities. Step-by-step, they can experience not only how these technologies function, but also that everything the machines know is determined by us.
Credit: Ars Electronica - Robert Bauernhansl
A digital image 'dreamed by' Midjourney, an artificial intelligence program that creates images from textual descriptions.
Generated by MidJourney for Aaron Ximm, v3 engine, late July 2022; prompt: "intricate colorful ::burning-man-festival, illustrations, botanical illustration, earthy palette, natural dyes. Volumetric shading. Many species. Colored pencil and water color. Isometric false perspective. Long shot. Style of Rousseau, Seuss, Sendak, Arts-and-Crafts. The playa at golden hour. --ar 3:2"
A digital image 'dreamed by' Midjourney, an artificial intelligence program that creates images from textual descriptions.
Dr. Fei-Fei Li was interviewed at the San Francisco Public Library as part of their One City One Book program and talked about her book, The Worlds I See, which combines her personal history of coming to the US from China at age 15, and then becoming one of the most important contributors to artificial intelligence. In 2025, TIME Magazine recognized her as one of eight leaders in the field of AI, making her one of their Persons of the Year. She is a Professor at Stanford and the founder and CEO of World Labs, which has introduced Marble as their first Spatial Intelligence product.
Scala eXchange 2016, Thursday, 8th - Friday, 9th December at Business Design Centre, London. skillsmatter.com/conferences/7432-scala-exchange-2016#pro.... Images copyright www.edtelling.com
Image of the human brain depicting the concepts of knowledge gap, conversational AI,artificial intelligence (AI), and more.
The winter 2016 meeting was hosted by the Volatility Institute at New York University's Stern School of Business. This meeting featured sessions on the role of the housing market in the macroeconomy, the impact of big data and machine learning on macroeconomic research, and the potential of innovation contests to push macroeconomic modeling into new and exciting territory.