Lifeboat Foundation

They received NASA funding for a new project to advance space-mining methods that use autonomous robot swarms.

Biocompatible AI could one day monitor body’s electrical signals in real time.

Check out our second promo for #transvision #future Summit 2021 (#madrid Oct. 8 — 12), featuring the optional dinner/cocktails we are scheduling, and 2 full-day #tours of several #unescoworldheritage sites and historical places near Madrid: Segovia, Ávila, Monsaterio de El Escorial & Valley of the Fallen on Oct. 11 and Alcalá de Henares, Aranjuez & Toledo on Oct. 12. It’s going to be espectacular! You don’t wanna miss those, so get your tickets now! 😊 Get your tickets here -> www.TransVisionMadrid.com.

The event itself will be a lot of fun, so make sure to register to come to Madrid in person, or to watch it via streaming (at a reduced price). There will be talks about #longevity #artificialintelligence #cryonics and much much more.

Continue reading “#TransVision Future Summit 2021 • Welcome to Madrid 8 — 12 October • Dinners & UNESCO site tours” »

A new type of artificial intelligence (AI) algorithm, developed by the Mayo Clinic and the Google Research Brain Team, can potentially pave the way toward more directed brain stimulation for the treatment of Parkinson’s disease and other movement-related disorders.

According to researchers, this algorithm can more accurately determine the interaction between different regions of the brain — data that will be key for improving the way brain stimulation devices are used in the real world for treating Parkinson’s.

“Our findings show that this new type of algorithm may help us understand which brain regions directly interact with one another, which in turn may help guide placement of electrodes for stimulating devices to treat network brain diseases,” Kai Miller, MD, PhD, a neurosurgeon at Mayo Clinic and the first author of the study, said in a press release.

Discover what makes Henson so great: https://bit.ly/3Dn1so3
Why the Tesla bot is the key to a Mars colony, and why Elon Musk’s SpaceX mission to build a colony on Mars needs the Tesla bot.
Last video: NEW Tesla Model 3 Now Available!

► Subscribe to our sister channel, The Space Race: https://www.youtube.com/channel/UCeMcDx6-rOq_RlKSPehk2tQ
► Subscribe to The Tesla Space newsletter: https://www.theteslaspace.com.
► Get up to $250 in Digital Currency With BlockFi: https://blockfi.com/theteslaspace.
►You can use my referral link to get 1,500 free Supercharger km on a new Tesla:
https://ts.la/trevor61038

Continue reading “Why The Tesla Bot Is The Key To A Mars Colony” »

Now DeepMind has set its sights on another grand challenge: bridging the worlds of deep learning and classical computer science to enable deep learning to do everything. If successful, this approach could revolutionize AI and software as we know them.

Petar Veličković is a senior research scientist at DeepMind. His entry into computer science came through algorithmic reasoning and algorithmic thinking using classical algorithms. Since he started doing deep learning research, he has wanted to reconcile deep learning with the classical algorithms that initially got him excited about computer science.

Continue reading “DeepMind aims to marry deep learning and classic algorithms” »

These brightly colored robotic boats seem to have a death wish.

The brightly-colored robotic boats made by Saildrone seem to have a death wish.

Saildrone makes autonomous ocean vessels to study the environment. This summer, the Silicon Valley startup sent five of its vessels directly into the path of hurricanes in the Atlantic Ocean. While airplanes can fly through hurricanes, the screaming winds kick up such huge waves that attempting to sail boats right into them is something best to be avoided.

Continue reading “These boat drones are designed to sail directly into the eye of a hurricane” »

University of Arizona aerospace and mining engineers are mapping out a plan for harvesting the moon’s resources using autonomous robot swarms and new excavation techniques.

With scientists beginning to more seriously consider constructing bases on celestial bodies such as the moon, the idea of space mining is growing in popularity.

After all, if someone from Los Angeles was moving to New York to build a house, it would be a lot easier to buy the building materials in New York rather than buy them in Los Angeles and lug them 2,800 miles. Considering the distance between Earth and the moon is about 85 times greater, and that getting there requires defying gravity, using the moon’s existing resources is an appealing idea.

Companies have two to three years to lay the groundwork for successful use of generative AI, synthetic data and orchestration platforms.

Users want more than artificial intelligence can provide at the moment but those capabilities are changing fast, according to Gartner’s Hype Cycle for Artificial Intelligence 2021 report. Gartner analysts described 34 types of AI technologies in the report and also noted that the AI hype cycle is more fast-paced, with an above-average number of innovations reaching mainstream adoption within two to five years.

Gartner analysts found more innovations in the innovation trigger phase of the hype cycle than usual. That means that end users are looking for specific technology capabilities that current AI tools can’t quite deliver yet. Synthetic data, orchestration platforms, composite AI, governance, human-centered AI and generative AI are all in this early phase.