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Archive for the ‘robotics/AI’ category: Page 1046

Aug 19, 2022

Google is teaching robots to think for themselves

Posted by in category: robotics/AI

How intelligent can robots get?Robots are getting smarter, which means they are better able to execute our commands. A number of different companies worldwide focus their attention on creating robots but one company in particular is really taking the lead on this lofty goal: Google.


Giving a robotic assistant a broad-based understanding of how to be helpful at home or work isn’t easy. But Google researchers are making progress.

Aug 19, 2022

Google’s New Robot Learned to Take Orders

Posted by in category: robotics/AI

The machine learning technique that taught notorious text generator GPT-3 to write can also help robots make sense of spoken commands.

Aug 19, 2022

This 17-Year-Old Designed a Motor That Could Potentially Transform the Electric Car Industry

Posted by in categories: education, robotics/AI, sustainability, transportation

His new prototype had 39 percent greater torque over a traditional motor.

A young engineer called Robert Sansone won the first prize, and winnings of $75,000, at this year’s Regeneron International Science and Engineering Fair (ISEF), the world’s largest international high school STEM competition.

Continue reading “This 17-Year-Old Designed a Motor That Could Potentially Transform the Electric Car Industry” »

Aug 19, 2022

Mind-Reading Neural Network Uses Brain Waves to Recreate Human Thoughts

Posted by in categories: biotech/medical, robotics/AI

And these miniaturized brains could save regular-sized brains.

Electroencephalography (EEG) caps are medical devices doctors use to diagnose brain disorders like epilepsy and seizures in patients. In the past decade, scientists have created 3D mini-brains called brain organoids from human-derived stem cells that mimic some aspects of brain development. A team of researchers at John Hopkins University has recently developed the world’s smallest EEG caps to study these more efficiently. The micro EEG caps can be used on a brain organoid the size of a pen dot.

Continue reading “Mind-Reading Neural Network Uses Brain Waves to Recreate Human Thoughts” »

Aug 19, 2022

Does Mark Zuckerberg Not Understand How Bad His Metaverse Looks?

Posted by in categories: internet, robotics/AI

Does that then prove he is a robot?

Close to a year after social media giant Facebook rebranded itself as Meta — to reflect its new strategy and vision to build the new version of the internet — its primary product, the famous metaverse, looks mediocre at best. But that is something CEO Mark Zuckerberg is failing to see, a Forbes.

Last October, when Facebook’s intent for a major rebranding was revealed, many questioned its timing. The company was going through a tough phase as whistleblowers revealed incriminating details of the company’s practices and regulators pushed for breaking up the company that also owns WhatsApp and Instagram.

Continue reading “Does Mark Zuckerberg Not Understand How Bad His Metaverse Looks?” »

Aug 19, 2022

Rise of the Machines: One of These Advanced Robots May Soon Take Over the World

Posted by in categories: Elon Musk, robotics/AI

How intelligent can robots get?

Robots are getting smarter, which means they are better able to execute our commands. A number of different companies worldwide focus their attention on creating robots but one company in particular is really taking the lead on this lofty goal: Google.

Continue reading “Rise of the Machines: One of These Advanced Robots May Soon Take Over the World” »

Aug 19, 2022

Interview with kory bieg on text-to-image generators & the future of AI in design

Posted by in categories: futurism, robotics/AI

To learn more about text-to-image generators, midjourney, and the future of AI, designboom spoke with kory bieg.

Aug 19, 2022

New support for ‘intrinsic’ charm quarks

Posted by in categories: particle physics, robotics/AI

A team of researchers with The NNPDF Collaboration has found new evidence to support the theory of “intrinsic” charm quarks. In their paper published in the journal Nature, the group describes how they used a machine learning model to develop a proton structure and then used it to compare against results from real-world collisions in particle accelerators and what they learned by doing so. Ramona Vogt, with Lawrence Livermore National Laboratory has published a News & Views piece in the same journal issue outlining the work by the team on this new effort. Nature has also published a podcast where Nick Petrić Howe and Benjamin Thompson discuss the work done by the team.

Prior research involving the use of has suggested that contain quarks that are held together by gluons. A reasonable amount of evidence has also shown that there are at least two up quarks and one down . There have also been theories suggesting that there is another, the so-called charm quark, but little real evidence of them exists. That might be changing, however, as the researchers on this new effort have used a new approach to “prove” that they exist.

They have found evidence of one small part (0.5%) of a proton’s momentum coming from a charm quark. The researchers found this new evidence by using a to build a hypothetical proton structure, including different flavors of quarks, and of course the elusive charm quark. They then ran their model and compared characteristics of the model with real-world data that has been observed from over 500,000 collisions in accelerators over the last decade.

Aug 18, 2022

New AI tool allows mourners to have conversations with the dead

Posted by in category: robotics/AI

The idea of conversing with mourners at your own funeral may sound like the plot from the latest episode of Black Mirror.

But it could become a reality, thanks to a Los Angeles-based startup, which has developed a ‘holographic conversational video experience’.

Continue reading “New AI tool allows mourners to have conversations with the dead” »

Aug 18, 2022

20 exaFLOP supercomputer proposed for 2025

Posted by in categories: robotics/AI, supercomputing

The U.S. Department of Energy (DOE) has published a request for information from computer hardware and software vendors to assist in the planning, design, and commission of next-generation supercomputing systems.

The DOE request calls for computing systems in the 2025–2030 timeframe that are five to 10 times faster than those currently available and/or able to perform more complex applications in “data science, artificial intelligence, edge deployments at facilities, and science ecosystem problems, in addition to traditional modelling and simulation applications.”

U.S. and Slovakia-based company Tachyum has now responded with its proposal for a 20 exaFLOP system. This would be based on Prodigy, its flagship product and described as the world’s first “universal” processor. According to Tachyum, the chip integrates 128 64-bit compute cores running at 5.7 GHz and combining the functionality of a CPU, GPU, and TPU into a single device with homogeneous architecture. This allows Prodigy to deliver performance at up to 4x that of the highest performing x86 processors (for cloud workloads) and 3x that of the highest performing GPU for HPC and 6x for AI applications.