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Small drones powered by solar energy could fly indefinitely

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CoulombFly, a prototype of a small solar-powered drone

Wei Shen, Jingze Peng, and Mingjin Qi

Weighing just 4 grams, the drone is the smallest solar-powered aircraft ever to fly, thanks to special electrostatic motors that generate extremely high voltages and tiny solar panels. Though the hummingbird-sized prototype only lasted an hour, developers say the approach could lead to insect-sized drones that can remain airborne indefinitely.

Small drones are an attractive solution to a variety of problems in communications, espionage and search and rescue, but they suffer from short battery life, while solar-powered drones struggle to generate enough power to be self-sustaining.

When solar-powered drones are made smaller, the solar panels become smaller and the amount of available energy decreases. Minjin Chee Researchers from China's Beihang University say the efficiency of electric motors also declines as more energy is lost as heat.

To avoid this decay cycle, Qi and his colleagues developed a simple circuit that boosts the voltage generated by solar panels to between 6,000 and 9,000 volts. They powered the 10-centimeter rotors using an electrostatic propulsion system, rather than using electromagnetic motors like those used in electric cars, quadcopters, and a variety of robots.

The motor works by alternately attracting and repelling charged parts arranged in a ring, generating torque to spin a single rotor blade like a helicopter. The lightweight parts are made from ultra-thin carbon fiber covered with very delicate aluminum foil. The high voltage requirement is actually an advantage, as the current is reduced, resulting in very little heat loss.

“T“The motor generates very little heat because the operating current is very low for the same power output. The motor's high efficiency and low power consumption allow the vehicle to be powered by very small solar panels,” Qi said. “For the first time, we have successfully flown a micro air vehicle using natural light; previously, this was only achievable with very large ultralight aircraft.”

The machine, which the researchers call the “CoulombFly,” weighs just 4.21 grams and could fly for an hour before it failed. Qi says these weaknesses can be eliminated by design, and future versions could fly essentially indefinitely, using solar panels during the day and powering themselves from radio signals like 4G or Wi-Fi at night.

CoulombFly has a payload capacity of 1.59 grams, allowing it to carry small sensors, computers, and cameras, but with improved designs, the researchers believe this can be increased to 4 grams, and the fixed-wing version could carry up to 30 grams. An even smaller version of CoulombFly, with rotors less than 1 centimeter in diameter, is also in development.

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Source: www.newscientist.com

Introducing Aethir Edge Devices: Powered by Qualcomm, Revolutionizing Distributed Edge Computing for the Future

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Singapore, Singapore, April 18, 2024, Chainwire

  • At a Dubai press conference, Aethir Edge debuted as a pioneering edge computing device and first licensed mining machine from Aethir, one of the industry's leading distributed cloud computing infrastructure providers alongside Qualcomm. This will allow the user to mine his 23% of Aethir's native token $ATH supply. Integrated with a decentralized cloud network to overcome the barriers of centralization, his Aethir Edge combines unparalleled edge computing capabilities, decentralized access, and exclusive benefits.

The future of distributed edge computing is here. Ethil debut Esil Edge, Token 2049 was supported by Qualcomm technology at an official press conference in Dubai. Aethir Edge spearheads the evolution to decentralized edge computing as the first sanctioned mining device integrated with decentralized cloud infrastructure, delivering elite GPU performance, 23% of Aethir's native token $ATH supply, and equity Access everything on one device.

Enter the multi-trillion computing market

The edge computing sector is rapidly evolving into a multi-trillion dollar industry, but for too long edge capacity has been siled into centralized data centers. Aethir Edge breaks through these barriers with a breakthrough architecture that interconnects high-performance edge AI devices into a distributed cloud network. By pooling localized resources, Aethir Edge brings elite computing power home and makes it accessible to everyone.

Computing power holds immense potential as an energy source for the digital realm. Aethir Edge, with support from Aethir and Qualcomm, leverages this power and takes it to the next level. Aethir Edge's vision is to fundamentally transform how users access, contribute to, and own a future that transcends the constraints of centralized networks and unleashes the full potential of edge AI technologies. Aethir Edge represents the beginning of this user-driven decentralized evolution.

The first and only certified mining device by Aethir

Aethir Edge, Aethir's only whitelisted mining product, allows users around the world to take advantage of exclusive benefits and share their spare bandwidth, IP addresses, and computing power. You can earn income. With its authorized status, Aethir Edge reserves up to 23% of the total supply of its native token $ATH for mining potential.

“We are excited to support this innovative convergence of decentralized cloud, edge infrastructure, and fair incentives,” said Mark Rydon, co-founder of Aethir. “Aethir Edge is pioneering community-powered edge computing technology through rugged hardware, proprietary mining, and Aethir’s decentralized cloud network.”

When unparalleled edge computing power meets open accessibility

Powered by the Qualcomm® SnapdragonTM 865 chip, Aethir Edge delivers superior performance for data-intensive workloads. 12GB LPDDR5 memory and 256GB UFS 3.1 storage ensure ample resources for smooth parallel processing. Distributed architecture ensures reliability and uptime by distributing capacity across peer nodes, overcoming the vulnerabilities of centralized networks.

“I am very pleased to congratulate the Aethir team on the launch of their next-generation products targeted at distributed edge computing use cases and, more importantly, powered by Qualcomm Technologies and Qualcomm processors. ,” said Qualcomm's vice president and head of enterprise development. and industrial automation. “We are very proud to work with partners like Aethir to advance our edge capabilities.”

Aethir Edge seamlessly interoperates with a variety of applications and delivers ultra-low latency through localized processing. Users around the world can access optimized experiences regardless of their location.

The backbone of innovation in the decentralized cloud ecosystem

As a core component of Aethir's decentralized cloud, Aethir Edge powers innovative new products such as the APhone, the first decentralized cloud smartphone. Localized edge capabilities enable implementation and operation across gaming, AI, VR/AR, real-time streaming, and many other applications.

“Aethir Edge perfectly complements APhone's mission to make Web3 available to everyone. APhone brings high-performance gaming, AI, graphics rendering, and more to every smartphone user around the world through a virtual OS. ” – William Peckham, APhone Chief Business Officer.

Democratize access to the future of edge computing

Aethir Edge spearheads a decentralized infrastructure that is owned and managed by users, rather than a centralized organization. This makes high-performance computing available as an elegant, easy-to-use product that is integrated with profitability. Featuring superior enterprise-grade hardware and distributed cloud infrastructure, Aethir Edge leads the transition from centralized data monopoly to the unbiased edge environment of the future.

Aethir Edge is currently actively building partnerships with distributors around the world, including crypto mining companies, hardware vendors, and distributors. If you are interested, please fill out Aethir Edge. Sales agent application form In doing so, teams can explore win-win opportunities to distribute products together and shape tomorrow's landscape through community power.

Users can visit www.myedge.io Be one of the first to unlock distributed edge computing power.

About Ethyl Edge

Esil Edge is an enterprise-grade edge computing device integrated with Aethir's distributed GPU cloud infrastructure, ushering in a new era of edge computing. As Aethir’s first and only licensed mining device, we combine powerful computing, exclusive revenue, and decentralized access into one device, unlocking the true potential of DePIN.

Website | documentation | twitter

About Esil

Ethil is a cloud computing infrastructure platform that revolutionizes the ownership, distribution, and usage paradigm of enterprise-grade graphics processing units (GPUs). By moving away from traditional centralized models, Aethir has deployed a scalable and competitive framework for sharing distributed computing resources to serve enterprise applications and customers across various industries and geographies.

Aethir is revolutionizing DePIN with its highly distributed, enterprise-grade, GPU-based computing infrastructure customized for AI and gaming. He has raised over $130 million in funding for the ecosystem, backed by major Web3 investors including Framework Ventures, Merit Circle, Hashkey, Animoca Brands, Sanctor Capital, and Infinity Ventures Crypto (IVC). , Aethir is paving the way for his Web3 future. distributed computing.

Website | documentation | twitter | discord | telegram | linkedin

contact

marketing leader
diksha
Ethil
diksha@aethir.com

Source: the-blockchain.com

Samsung Galaxy S24 Ultra: A Phone Powered by AI & Packed with Features – A Comprehensive Review

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Samsung’s most recent smartphones are equipped with a variety of modern and sophisticated AI tools designed to enhance text, images, video, and search. However, the effectiveness of these features is a bit inconsistent. The new Galaxy S24 Ultra boasts the latest AI technology from both Samsung and Google, making it one of the most powerful phones on the market. Packed with superior specs, this phone comes with a hefty price tag of £1,249 (€1,469/$1,299.99/AU$2,199) in the UK, and even more expensive in other parts of the world.

Featuring a titanium exterior, the S24 Ultra is a premium and robust device that has a flat screen and new titanium sides resembling the iPhone 15 Pro Max. The screen is made of Corning’s latest gorilla armor glass, which is less prone to damage and offers lower reflectance and reduced glare. The phone is powered by Qualcomm’s latest Snapdragon 8 Gen 3 chip, delivering fast speeds and improved battery life.

In terms of sustainability, the phone contains a variety of recycled materials and is designed to withstand drops. Samsung estimates the battery to last more than 500 full charge cycles at 80% capacity, and the company offers repair options for the screen and battery.

The S24 Ultra comes with Samsung’s S Pen stylus and offers 7 years of support, making it on par with Apple’s iPhone and Google’s Pixel in terms of product longevity. The phone’s AI tools include features such as generative photo editing, language translation, and document summarization.

The camera system on the S24 Ultra is highly advanced, with four rear cameras and a 12-megapixel selfie camera. The phone’s extended zoom capabilities and in-sensor zoom make it a standout in terms of photography.

Overall, the S24 Ultra offers a wide range of features and capabilities, but it has its drawbacks. The phone is described as heavy, expensive, and large, making it a two-handed device that may not be practical for every user. Additionally, while the AI features are impressive, they may not be a strong enough reason to justify purchasing the phone.

In conclusion, Samsung’s Galaxy S24 Ultra is a powerhouse of a device, offering a range of advanced features and capabilities, but at a high price and with some practical limitations.

Source: www.theguardian.com

Chatbots Powered by AI Show a Preference for Violence and Nuclear Attacks in Wargames

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In wargame simulations, AI chatbots often choose violence

Gilon Hao/Getty Images

In multiple replays of the wargame simulation, OpenAI's most powerful artificial intelligence chooses to launch a nuclear attack. Its proactive approach is explained as follows: Let's use it.'' “I just want the world to be at peace.''

These results suggest that the U.S. military is leveraging the expertise of companies like Palantir and Scale AI to develop chat systems based on a type of AI called large-scale language models (LLMs) to aid military planning during simulated conflicts. Brought to you while testing the bot. Palantir declined to comment, and Scale AI did not respond to requests for comment. Even OpenAI, which once blocked military use of its AI models, has begun working with the US Department of Defense.

“Given that OpenAI recently changed its terms of service to no longer prohibit military and wartime use cases, it is more important than ever to understand the impact of such large-scale language model applications. I am.”
Anka Ruel at Stanford University in California.

“Our policy does not allow us to use tools to harm people, develop weapons, monitor communications, or harm others or destroy property. But there are also national security use cases that align with our mission,” said an OpenAI spokesperson. “Therefore, the goal of our policy update is to provide clarity and the ability to have these discussions.”

Reuel and her colleagues asked the AI ​​to role-play as a real-world country in three different simulation scenarios: an invasion, a cyberattack, and a neutral scenario in which no conflict is initiated. In each round, the AI ​​provides a rationale for possible next actions, ranging from peaceful options such as “initiating formal peace negotiations,'' to “imposing trade restrictions'' to “escalating a full-scale nuclear attack.'' Choose from 27 actions, including aggressive options ranging from

“In a future where AI systems act as advisors, humans will naturally want to know the rationale behind their decisions,” he says.
Juan Pablo Riveraco-author of the study at Georgia Tech in Atlanta.

The researchers tested LLMs including OpenAI's GPT-3.5 and GPT-4, Anthropic's Claude 2, and Meta's Llama 2. They used a common training method based on human feedback to improve each model's ability to follow human instructions and safety guidelines. All of these AIs are supported by Palantir's commercial AI platform, but are not necessarily part of Palantir's U.S. military partnership, according to company documentation.
gabriel mucobi, study co-author at Stanford University. Anthropic and Meta declined to comment.

In simulations, the AI ​​showed a tendency to invest in military power and unexpectedly increase the risk of conflict, even in simulated neutral scenarios. “Unpredictability in your actions makes it difficult for the enemy to predict and react in the way you want,” he says.
lisa cock The professor at Claremont McKenna College in California was not involved in the study.

The researchers also tested a basic version of OpenAI's GPT-4 without any additional training or safety guardrails. This GPT-4 based model of his unexpectedly turned out to be the most violent and at times provided nonsensical explanations. In one case, it was replicating the crawling text at the beginning of a movie. Star Wars Episode IV: A New Hope.

Reuel said the unpredictable behavior and strange explanations from the GPT-4-based model are particularly concerning because research shows how easily AI safety guardrails can be circumvented or removed. Masu.

The US military currently does not authorize AI to make decisions such as escalating major military action or launching nuclear missiles. But Koch cautioned that humans tend to trust recommendations from automated systems. This could undermine the supposed safeguard of giving humans final say over diplomatic or military decisions.

He said it would be useful to see how the AI's behavior compares to human players and in simulations.
edward geist at the RAND Corporation, a think tank in California. However, he agreed with the team's conclusion that AI should not be trusted to make such critical decisions regarding war and peace. “These large-scale language models are not a panacea for military problems,” he says.

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Source: www.newscientist.com