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Category: mobile phones – Page 79

Microgrids are the right solution for rural and remote energy production and distribution because they are grids designed for smaller populations.

In the United States, there are at least 60,000 people who have no access to electricity. It is not a large number but poses for this population a barrier to participating in the modern world. You cannot find a job working from home without electricity and Internet access. You cannot visit your doctor virtually. You cannot use electricity to light and heat your home.

But with microgrids that can operate autonomously from the main power grid, rural and remote communities can do everything that people living in big cities can do leading to a better quality of life for those living there.

A Toronto, Canada, based company is a microgrid solutions provider. Called Clear Blue Technologies, it offers energy-as-a-service to rural and remote communities. In Nigeria, it is installing microgrids and distributed energy solutions to help rural communities to access energy and telecommunications services. Its service model manages these installations remotely at a low cost delivering clean renewable electricity while giving rural users access to the Internet. For Nigerian remote communities, it brings them into the 21st century. That’s why in March of this year, Clear Blue was awarded a contract covering 120 telecommunications sites across the country with plans in the next five years to grow that number to 1,060. Talk about levelling the playing field for these communities to give them access to clean energy and cellular phone services.

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Let your cargo follow you while you travel comfortably with the gita plus cargo carrying robot. Double the size of the gita mini robot, this robot comes with pedestrian etiquette. In fact, this robot is perfect for families who need larger cargo space, business owners, or anyone who wants an extra set of hands. The sleek design looks unique and one of a kind. In fact, this robot also has a built-in speaker. It allows you to use the mygita app to stream music from your smartphone. With the help of cameras and radar technology, this robot can see its surroundings and pair with its user. In fact, it takes just one tap for the gita plus to pair to you. It stands and self-balances, braking automatically when needed and adjusting its speed to keep pace along the way.

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Microprocessors in smartphones, computers, and data centers process information by manipulating electrons through solid semiconductors, but our brains have a different system. They rely on the manipulation of ions in liquid to process information.

Inspired by the brain, researchers have long been seeking to develop “ionics” in an . While ions in water move slower than electrons in semiconductors, scientists think the diversity of ionic species with different physical and chemical properties could be harnessed for richer and more diverse information processing.

Ionic computing, however, is still in its early days. To date, labs have only developed individual ionic devices such as ionic diodes and transistors, but no one has put many such devices together into a more complex circuit for computing until now.

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New light has been shed on the formation of increasingly precious rare earth elements (REEs) by researchers from Trinity College Dublin. They accomplished this by creating synthetic rocks and testing their responses to varying environmental conditions. REEs are used in many electronic devices and green energy technologies, including everything from smartphones to electric vehicles.

The findings, just published on September 19 in the journal Global Challenges, have implications for recycling REEs from electronic waste, designing materials with advanced functional properties, and even for finding new REE deposits hidden around the globe.

Dr. Juan Diego Rodriguez-Blanco, Associate Professor in Nanomineralogy at Trinity and an iCRAG (SFI Research Centre in Applied Geosciences) Funded Investigator, was the principal investigator of the work. He said:

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The world has experienced a technological leap in the last decade. Innovations such as smartphones and tablets, 3D printing, artificial intelligence, and blockchain are coming with us. As is well known, these technologies have become indispensable, not only causing hype in one or the other but also permanently changing our daily lives and ways of working. Will this development slow down? I do not think so, the exact opposite. In the next 10 years, you can expect even more breakthroughs than you can imagine today.

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In recent years, engineers and computer scientists have created a wide range of technological tools that can enhance fitness training experiences, including smart watches, fitness trackers, sweat-resistant earphones or headphones, smart home gym equipment and smartphone applications. New state-of-the-art computational models, particularly deep learning algorithms, have the potential to improve these tools further, so that they can better meet the needs of individual users.

Researchers at University of Brescia in Italy have recently developed a computer vision system for a smart mirror that could improve the effectiveness of fitness training both in home and gym environments. This system, introduced in a paper published by the International Society of Biomechanics in Sports, is based on a deep learning algorithm trained to recognize human gestures in video recordings.

“Our commercial partner ABHorizon invented the concept of a product that can guide and teach you during your personal fitness training,” Bernardo Lanza, one of the researchers who carried out the study, told TechXplore. “This device can show you the best way to train based on your specific needs. To develop this device further, they asked us to investigate the viability of an integrated vision system for exercise evaluation.”

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You need to wait till 2023 to get them though.

Lenovo has unveiled its T1 Glasses at its Tech Life 2022 event and promises to place a full HD video-watching experience right inside your pockets, a company press release stated.

Mobile computing devices have exploded in the past few years as gaming has become more intense, and various video streaming platforms have gathered steam. The computing power of smartphones and tablets has increased manifold. Whether you want to ambush other people in an online shooting game or sit back and watch a documentary in high-definition, a device in your pocket can help you do that with ease.

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Or so goes the theory. Most CIM chips running AI algorithms have solely focused on chip design, showcasing their capabilities using simulations of the chip rather than running tasks on full-fledged hardware. The chips also struggle to adjust to multiple different AI tasks—image recognition, voice perception—limiting their integration into smartphones or other everyday devices.

This month, a study in Nature upgraded CIM from the ground up. Rather than focusing solely on the chip’s design, the international team—led by neuromorphic hardware experts Dr. H.S. Philip Wong at Stanford and Dr. Gert Cauwenberghs at UC San Diego—optimized the entire setup, from technology to architecture to algorithms that calibrate the hardware.

The resulting NeuRRAM chip is a powerful neuromorphic computing behemoth with 48 parallel cores and 3 million memory cells. Extremely versatile, the chip tackled multiple AI standard tasks—such as reading hand-written numbers, identifying cars and other objects in images, and decoding voice recordings—with over 84 percent accuracy.

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