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Category: robotics/AI – Page 1429

During a keynote address today at its re: Invent 2021 conference, Amazon announced SageMaker Canvas, which enables users to create machine learning models without having to write any code. Using SageMaker Canvas, Amazon Web Services (AWS) customers can run a machine learning workflow with a point-and-click user interface to generate predictions and publish the results.

Low-and no-code platforms allow developers and non-developers alike to create software through visual dashboards instead of traditional programming. Adoption is on the rise, with a recent OutSystems report showing that 41% of organizations were using a low-or no-code tool in 2019/2020, up from 34% in 2018/2019.

“Now, business users and analysts can use Canvas to generate highly accurate predictions using an intuitive, easy-to-use interface,” AWS CEO Adam Selipsky said onstage. “Canvas uses terminology and visualizations already familiar to [users] and complements the data analysis tools that [people are] already using.”

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Elon Musk’s Brain Computer Interface company Neuralink has a new competitor which has already done experiments and seen results in merging Humans with Artificial Intelligence through advanced brain implants. The study has been performed much earlier than what the Neuralink Update promised back in 2021. Neuralink’s Human Trials haven’t started yet and their competition is slowly moving ahead of them towards future technology.
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TIMESTAMPS:
00:00 Neuralink was beaten to the punch.
01:47 What this is meant to accomplish.
03:09 How this new technology actually works.
06:35 Alternatives and Competitors to Neuralink.
08:02
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#ai #bci #futurology

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Summary: Researchers report Xenobots, a computer-designed, hand-assembled organism can find and gather single cells, and assemble “baby” Xenobots. After a few days, the immature Xanobots can also find cells and replicate themselves.

Source: University of Vermont.

To persist, life must reproduce. Over billions of years, organisms have evolved many ways of replicating, from budding plants to sexual animals to invading viruses.

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𝙏𝙝𝙚 𝙎𝙘𝙞𝙚𝙣𝙘𝙚 𝙤𝙛 𝙈𝙞𝙣𝙙 𝙍𝙚𝙖𝙙𝙞𝙣𝙜

𝙍𝙚𝙨𝙚𝙖𝙧𝙘𝙝𝙚𝙧𝙨 𝙖𝙧𝙚 𝙥𝙪𝙧𝙨𝙪𝙞𝙣𝙜 𝙖𝙜𝙚-𝙤𝙡𝙙 𝙦𝙪𝙚𝙨𝙩𝙞𝙤𝙣𝙨 𝙖𝙗𝙤𝙪𝙩 𝙩𝙝𝙚 𝙣𝙖𝙩𝙪𝙧𝙚 𝙤𝙛 𝙩𝙝𝙤𝙪𝙜𝙝𝙩𝙨—𝙖𝙣𝙙 𝙡𝙚𝙖𝙧𝙣𝙞𝙣𝙜 𝙝𝙤𝙬 𝙩𝙤 𝙧𝙚𝙖𝙙 𝙩𝙝𝙚𝙢.

𝙏𝙝𝙚 𝙉𝙚𝙬 𝙔𝙤𝙧𝙠𝙚𝙧:

James Somers writes about researchers in the fields of neuroscience and A.I. pursuing age-old questions about the nature of thoughts—and learning how to read them.

Continue reading “The Science of Mind Reading” | >

This week, Amazon’s Web Services (AWS) kicked off its tenth re: Invent conference, an event where it typically announces the biggest changes in the cloud computing industry’s dominant platform. This year’s news includes faster chips, more aggressive artificial intelligence, more developer-friendly tools, and even a bit of quantum computing for those who want to explore its ever-growing potential.

Amazon is working to lower costs by boosting the performance of its hardware. Their new generation of machines powered by the third generation of AMD’s EPYC processors, the M6a, is touted as offering a 35% boost in price/performance over the previous generation of M5a machines built with the second generation of the EPYC chips. They’ll be available in sizes that range from two virtual CPUs with 8GB of RAM (m6a.large) up to 192 virtual CPUs and 768GB of RAM (m6a.48xlarge).

AWS also notes that the chips will boast “always-on memory encryption” and rely on faster custom circuitry for faster encryption and decryption. The feature is a nod to users who worry about sharing hardware in the cloud and, perhaps, exposing their data.

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Researchers have developed a new approach to machine learning that ‘learns how to learn’ and out-performs current machine learning methods for drug design, which in turn could accelerate the search for new disease treatments.

The method, called transformational machine learning (TML), was developed by a team from the UK, Sweden, India and Netherlands. It learns from multiple problems and improves performance while it learns.

TML could accelerate the identification and production of new drugs by improving the machine learning systems which are used to identify them. The results are reported in the Proceedings of the National Academy of Sciences.

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Research has long strived to develop computers to work as energy efficiently as our brains. A study, led by researchers at the University of Gothenburg, has succeeded for the first time in combining a memory function with a calculation function in the same component. The discovery opens the way for more efficient technologies, everything from mobile phones to self-driving cars.

In recent years, computers have been able to tackle advanced cognitive tasks, like language and image recognition or displaying superhuman chess skills, thanks in large part to artificial intelligence (AI). At the same time, the is still unmatched in its ability to perform tasks effectively and energy efficiently.

“Finding new ways of performing calculations that resemble the brain’s energy-efficient processes has been a major goal of research for decades. Cognitive tasks, like image and voice recognition, require significant computer power, and mobile applications, in particular, like mobile phones, drones and satellites, require energy efficient solutions,” says Johan Åkerman, professor of applied spintronics at the University of Gothenburg.

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TRU Community Care in Lafayette was the host to the unveiling of a brand new technology in the medical field — a humanoid robot that can perform basic medical tasks.

Beyond Imagination, an AI company based out of Colorado Springs, visited the Lafayette hospice center to test out the robot, named BEOMNI.

“We are excited that TRU sees the almost limitless potential of our humanoid robots in health care and has agreed to run this first pilot study with us. We look forward to partnering with them to bring a highly effective solution to market,” said inventor and CEO Dr. Harry Kloor.

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For scanning underground structures and caves. Maybe scanning buildings, and doing security stuff, but doors would be a problem. Also too loud, but would be a nice start point for an Ion Drive flight system.

By Jim Magill

Looking like a micro-sized version of the Death Star, the Dronut X1, which Boston-based start-up Cleo Robotics released for commercial use earlier this month, is the first professional-grade bi-rotor ducted-fan drone – a drone without exposed rotor blades – built to conduct inspections in close-quartered and hazardous environments.

Its unique design, featuring hidden propellers and rounded form, means the Dronut is collision-tolerant and can be operated near sensitive equipment, Cleo Robotics’ CEO and co-founder Omar Eleryan said in an interview.

Continue reading “Drone Without Exposed Rotor Blades the Dronut” | >

There were some speculations in the comment section that we probably have large air compressor or some other kind of too huge powering system for our robotic arm that we supposedly don’t show you.

So we packed our Clone in a suitcase and filmed a little presentation for you. The whole thing weights 8kg (18 lbs). We could fit everything inside but we separated the electricity from the water. And this is still just the beginning of the miniaturization process, we must and we will make it portable enough so humanoid robots can help people in everyday life.

After a year of development we have finished the robotic arm 11th prototype. We are starting a new one from scratch, more biomimetic and powerful than ever!

Sorry for the strange colours on the video! We are testing a new film camera!

Continue reading “Humanoid Robot Hand Holds 26 kg (57 lbs) + Portable Power Supply” | >