Lifeboat Foundation

Analysis: humans make about 35,000 decisions every day so is it possible for AI to deal with a similar volume of high decision uncertainty?

Artificial intelligence (AI) that can think for itself may still seem like something from a science-fiction film. In the recent TV series Westworld, Robert Ford, played by Anthony Hopkins, gave a thought-provoking speech: “we can’t define consciousness because consciousness does not exist. Humans fancy that there’s something special about the way we perceive the world and yet, we live in loops as tight and as closed as the [robots] do, seldom questioning our choices – content, for the most part, to be told what to do next.”

Mimicking realistic human-like cognition in AI has recently become more plausible. This is especially the case in Computational Neuroscience, a rapidly expanding research area that involves the computational modelling of the brain to provide quantitative, computational theories.

First published in 2016, predictors of chronological and biological age developed using deep learning (DL) are rapidly gaining popularity in the aging research community.

These deep aging clocks can be used in a broad range of applications in the pharmaceutical industry, spanning target identification, drug discovery, data economics, and synthetic patient data generation. We provide here a brief overview of recent advances in this important subset, or perhaps superset, of aging clocks that have been developed using artificial intelligence (AI).

These robotic tiles can track your every step to create an immersive VR experience via 筑波大学｜University of Tsukuba.

Man’s best friend isn’t a dog—it’s a doglike robot, designed to perform tricks and tug at your heartstrings.

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How does the universe work? It appears that a new AI could help find the answer as it was able to work well beyond the parameters set by its developers.

DARPA’s Ground X-Vehicle Technologies (GXV-T) program aims to improve mobility, survivability, safety, and effectiveness of future combat vehicles without piling on armor. The demonstrations featured here show progress on technologies for traveling quickly over varied terrain and improving situational awareness and ease of operation.

These demonstrations feature technologies developed for DARPA by:

Continue reading “Demonstrations of DARPA’s Ground X-Vehicle Technologies” »

Well, each to his own taste. Kittens making friends with balls of yarn are absolute magnets for video surfers but a rival army of video clicksters can never max out staring at humanoids navigating where they want to go.

The latest video showcasing humanoid robots on the move is impressing viewers with the deft and successful way they are navigating a cinder block maze.

Continue reading “Robots step up to ace those big bad cinder blocks” »

NASA has awarded Carnegie Mellon University (CMU) and Astrobotic a US$5.6 million contract to build a new suitcase-sized robotic lunar rover that could land on the Moon as soon as 2021. One of 12 proposals selected as part of the agency’s Lunar Surface and Instrumentation and Technology Payload (LSITP) program, the 24-lb (11-kg) MoonRanger rover is designed to operate autonomously on week-long missions within 0.6 mi (1 km) of its lander.

The Defense Advanced Research Projects Agency made headlines last fall when it announced that it was pledging $2 billion for a multi-year effort to develop new artificial intelligence technology.

Months later, DARPA’s “AI Next” program is already bearing fruit, said Peter Highnam, the agency’s deputy director.

DARPA — which has for decades fostered some of the Pentagon’s most cutting-edge capabilities — breaks down AI technology development into three distinct waves, he said during a meeting with reporters in Washington, D.C.