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High-speed drone racing has just had a shocking “Deep Blue” moment, as an autonomous AI designed by University of Zurich researchers repeatedly forced three world champion-level pilots to eat its dust, showing uncanny precision in dynamic flight.

If you’ve ever watched a high-level drone race from the FPV perspective, you’ll know how much skill, speed, precision and dynamic control it takes. Like watching Formula One from the driver’s perspective, or on-board footage from the Isle of Man TT, it’s hard to imagine how a human brain can make calculations that quickly and respond to changing situations in real time. It’s incredibly impressive.

When Deep Blue stamped silicon’s dominance on the world of chess, and AlphaGo established AI’s dominance in the game of Go, these were strategic situations, in which a computer’s ability to analyze millions of past games and millions of potential moves and strategies gave them the edge.

Less than a year into the AI boom and startups are already grappling with what may become an industry reckoning.

Take Jasper, a buzzy AI startup that raised $125 million for a valuation of $1.5 billion last year — before laying off staff with a gloomy note from its CEO this summer.

Now, in a provocative new story, the Wall Street Journal fleshes out where the cracks are starting to form. Basically, monetizing AI is hard, user interest is leveling off or declining, and running the hardware behind these products is often very expensive — meaning that while the tech does sometimes offer a substantial “wow” factor, its path to a stable business model is looking rockier than ever.

The abilities of artificial intelligence (AI) systems are advancing at an astounding rate, nearing or bettering what humans can do in simulations and test environments.

Setting aside the ethical and environmental concerns around AI and those of autonomous drones for a minute, we can marvel at this latest feat: an AI-controlled drone system that beat three professional drone pilots in a series of head-to-head races, winning more often than not.

Swift is the name of the autonomous system, which outmaneuvered the world-champion human pilots in 15 of the 25 races, on a track full of sweeping turns and screeching pivots designed by a professional drone-racing pilot.

AI specialist Jürgen Schmidhuber on Kurt Gödel, meta learning and fundamental limitations of computability.

Read the full text on our website: http://serious-science.org/godel-machine-10426

‘A Gödel machine is a computer that rewrites any part of its own code as soon as it has found a proof that the rewrite of the code is useful, where a problem-dependent utility function and the properties of the hardware and the entire initial code are all described by axioms encoded in an initial proof searcher.’

Jürgen schmidhuber, scientific director, swiss AI lab IDSIA

Artificial Consciousness: http://serious-science.org/atificial-consciousness-6883
Deep Learning: http://serious-science.org/deep-learning-10364

This lecture is part of the collaboration between Serious Science and the Technology Contests Up Great READ//ABLE: https://en.ai.upgreat.one/

What happens when humans begin combining biology with technology, harnessing the power to recode life itself.

What does the future of biotechnology look like? How will humans program biology to create organ farm technology and bio-robots. And what happens when companies begin investing in advanced bio-printing, artificial wombs, and cybernetic prosthetic limbs.

Other topic include: bioengineered food and farming, bio-printing in space, new age living bioarchitecture (eco concrete inspired by coral reefs), bioengineered bioluminescence, cyberpunks and biopunks who experiment underground — creating new age food and pets, the future of bionics, corporations owning bionic limbs, the multi-trillion dollar industry of bio-robots, and bioengineered humans with super powers (Neo-Humans).

As well as the future of biomedical engineering, biochemistry, and biodiversity.
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Created by: Jacob.
Narration by: Alexander Masters (www.alexander-masters.com)

Modern Science Fiction.

Inside of you, at all times, there are trillions of natural nano robots walking around, taking out the trash, and packaging strands of DNA. Below the calm, ordered exterior of a living organism lies a complex collection of molecular machines working together to create something greater than themselves. Physicist and author of “Life’s Ratchet” Peter Hoffmann shows us the tiny city beneath the surface.

Watch the full program here: https://youtu.be/FzFY5ms3AUc.
Original program date: May 30, 2013

The World Science Festival gathers great minds in science and the arts to produce live and digital content that allows a broad general audience to engage with scientific discoveries. Our mission is to cultivate a general public informed by science, inspired by its wonder, convinced of its value, and prepared to engage with its implications for the future.

Visit our Website: http://www.worldsciencefestival.com/
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In an era of growing digitalisation, data centers have emerged as the fundamental support of our technological framework. However, worries persist over the ecological effects due to their swift growth and power-demanding activities. These data centers rank among the planet’s most energy-intensive establishments, drawing substantial electricity to fuel servers, cooling mechanisms, and auxiliary apparatus vital for their operations. Such elevated energy usage significantly affects the environment by adding to greenhouse gas discharges and ushering climate change.

The AI Power Consumption Challenge

The growing surge of AI (Artificial Intelligence) in recent years has been a remarkable and transformative phenomenon. However, AI models and algorithms are highly resource-intensive and consume significant amounts of power. Training AI models involve massive computational workloads, often requiring specialised hardware accelerators like GPUs, which consume substantial energy. This power consumption is a major concern when it comes to making data centers greener.