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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.

As per Smithsonian Magazine, his new invention could one day transform the electric vehicle (EV) industry. It is a synchronous reluctance motor with improved performance over previous models.


Robert Sansone is a natural born engineer. From animatronic hands to high-speed running boots and a go-kart that can reach speeds of more than 70 miles per hour, the Fort Pierce, Florida-based inventor estimates he’s completed at least 60 engineering projects in his spare time. And he’s only 17 years old.

A couple years ago, Sansone came across a video about the advantages and disadvantages of electric cars. The video explained that most electric car motors require magnets made from rare-earth elements, which can be costly, both financially and environmentally, to extract. The rare-earth materials needed can cost hundreds of dollars per kilogram. In comparison, copper is worth $7.83 per kilogram.

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.

Brain organoids can mimic some key features of the human brain. Scientists create them to understand the human brain’s development process and the factors leading to various neural disorders. Moreover, such mini-brains can also be used to perform experiments that researchers would have to otherwise perform on a real brain. Thus, eliminating the need to conduct tests on live human and animal subjects. has long been the stuff of science fiction but now mind-reading machines may actually be here and they may not be invasive. Researchers from the Russian corporation Neurobotics and the Moscow Institute of Physics and Technology have found a way to visualize a person’s brain activity as actual images without the use of invasive brain implants.

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.


Yesterday, Mark Zuckerberg once again made the rounds being roasted on Twitter, not due to barbeque sauce or surfing, but because of yet another screenshot he posted from Horizon Worlds, this one a Facebook post celebrating the game coming to France and Spain.

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.

A new language modelAccording to Fast Company, Google is achieving this feat through its latest milestone in robot software research — a new language model called PaLM-SayCan (Pathways Language Model).


Remember, in 2017, when Elon Musk said that in a few years, robots would move so fast that you will need a strobe light to see them? Good. So do we. The modern age of robotics embodies some of the highest levels of engineering and human ingenuity. However, when people talk about these machines, they can be very opinionated. There sometimes seems to be no middle ground when people discuss robotics. Some people either think robots are amazing, or are worried they will take your job, or fear they will eventually over the world.

Robots will continue to become more advanced. Over the past few years, we have seen established companies and start-up-made debut machines that can move like us, and even talk like us.

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.

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’.

StoryFile creates a digital clone of the subject by using 20 synchronised cameras to record them answering a series of questions.

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.

Weighing cost vs. benefit

For small business owners, implementing sustainability initiatives may seem more like a pipe dream than a tangible goal, as the technology can be costly to implement. What’s more, businesses that are using technology to drive sustainability must employ talented workers who can tap into those resources and streamline operations for the greatest economic and environmental benefit.

However, as companies can leverage automation and data analytics to increase efficiency, adjust energy usage, reduce waste and otherwise help with sustainability, the cost of investing in automation is worth it. By giving company leaders the ability to see the big picture in terms of carbon footprint, data and automation can help optimize operations and improve a company’s bottom line.

In the 1980s, biologist Dr Michael Rose started to selectively breed Drosophila fruit flies for increased longevity. Today, the descendants of the original Methuselah flies are held by biotech firm Genescient Corporation and live 4.5 times longer than normal fruit flies.

The flies’ increased lifespan is explained by a significant number of systemic genetic changes — but how many of these variations represent lessons that can be used to design longevity therapies for humans? Dr. Ben Goertzel and his bio-AI colleagues at SingularityNET and Rejuve. AI are betting the answer is quite a few.

SingularityNET and Rejuve. AI have launched a partnership with Genescient to apply advanced machine learning and machine reasoning methods to transfer insights gained from the Methuselah fly genome to the human genome. The goal is to acquire new information regarding gene therapies, drugs or nutraceutical regimens for prolonging healthy human life.