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Startup Innovates with First Data Center Powered by Human Brain Cells

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Close-up of an artificial brain illustrating neural activity and orange light dots, representing artificial intelligence. Synapses and neurons are crafted from cubic particles rendered in 3D format.

Exploring Biological Computers

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As energy demands soar in data centers and the need for chips intensifies, could biological cells offer a solution? Australian startup Cortical Labs is pioneering this concept by establishing two innovative biological data centers in Melbourne and Singapore. These facilities will utilize chips populated with reproducible neurons for data processing.

Cortical Labs stands out as a leader in the emerging field of biological computing, using nerve cells linked to microelectrode arrays to both stimulate and record cellular responses during data input. Recently, the company showcased its flagship computer, the CL1, demonstrating its ability to learn to play games like Doom within a week.

The Melbourne data center is set to feature approximately 120 CL1 units, while a collaboration with the National University of Singapore will launch with 20 units, aiming for a total of 1,000 CL1s, pending regulatory approval. This ambitious expansion is designed to enhance their cloud-based brain computing services.

Michael Barros from the University of Essex remarks, “Biological computers like CL1 have been developed by multiple research teams globally but pose construction challenges for widespread adoption.” He continues, “Cortical Labs is making biocomputers more accessible, set to be the first company to do this at scale.”

These biological systems can be trained for tasks like playing Doom, although understanding the optimal training methods for neurons remains a complex issue. Reinhold Scherer, also from the University of Essex, notes, “Having access can facilitate explorations in learning and programming, yet neurons cannot be programmed as traditional computers.”

Moreover, Cortical Labs asserts that its biological data centers are significantly more energy-efficient than conventional computing systems, with each CL1 unit consuming just 30 watts compared to thousands of watts used by state-of-the-art AI chips.

Paul Roach from Loughborough University highlights that scaling up these systems to function like traditional data servers could lead to remarkable energy savings, even if they require nutrients to sustain the neuron chips. However, the cooling requirements are expected to be much lower than in traditional setups, indicating considerable power conservation according to Cortical Labs’ estimates.

Yet, the technology is still nascent. Tjeerd Olde Scheper, who has collaborated with a competitor, FinalSpark, poses questions about efficacy, stating, “We’re still in early development stages.” He emphasizes that transitioning from a small network managing simple tasks to a larger-scale language model is a substantial leap.

A primary challenge remains: the capacity to save training outcomes and utilize these neurons for computational algorithms beyond specific tasks like gaming. Retraining these neurons after their life cycle is another hurdle, as Scherer points out, “If retraining is needed every month, longevity of use becomes an issue.”

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Source: www.newscientist.com

Revolutionary Startup Develops First Data Center Powered by Human Brain Cells

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Close-up of an artificial brain showcasing neural activity and orange light dots, illustrating the concept of artificial intelligence. 3D rendering of synapses and neurons made up of cubic particles.

A small number of companies are developing biological computers

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Data centers consume vast amounts of energy while the demand for computer chips continues to soar. Could utilizing brain cells be the solution?
Australian startup Cortical Labs is pioneering this field, planning to establish two innovative “biological” data centers in Melbourne and Singapore. These cutting-edge data centers will feature chips integrated with reproducible neurons.
Pon vs. Doom.

Cortical Labs stands out as one of the few firms creating biological computers that link nerve cells to microelectrode arrays, enabling the stimulation and measurement of cell responses during data input. Recently, the company successfully showcased that its primary model, the CL1, can learn to play games like Doom within just a week.

The first data center in Melbourne is set to accommodate around 120 CL1 units, while a second facility in collaboration with the National University of Singapore will initially support 20 CL1 systems, with plans to expand to 1,000 pending regulatory approval. This initiative aims to enhance cloud-based brain computing services.

According to Michael Barros from the University of Essex, UK, while biological computers have been constructed and tested globally, they remain challenging to build and use. He states, “We invest a lot of time and resources developing these systems.”

Barros further elaborates that Cortical Labs is democratizing access to biocomputers at scale, pioneering an accessible approach in the industry.

These systems can be trained for simple tasks, such as playing Doom, yet there are challenges in understanding how neurons function and training them for more complex tasks like machine learning. Reinhold Scherer, also from the University of Essex, notes, “When you access this technology, it opens doors to exploration in learning, training, and programming, but neurons cannot be programmed like standard computers.”

Cortical Labs asserts that its biological data centers use significantly less energy than traditional computing systems, with each CL1 requiring only 30 watts compared to thousands needed by leading conventional AI chips.

Paul Roach from Loughborough University, UK, emphasizes that scaling biocomputers into entire rooms, akin to traditional data servers, could yield substantial energy savings. Notably, while biological data centers may necessitate nutrients to sustain neuron chips, they require less cooling energy than conventional computing infrastructures, suggesting significant potential for energy conservation.

Nevertheless, experts like Tjeerd Olde Scheper, who holds a PhD from Oxford Brookes University, recognize that the technology remains nascent. “Will it perform as expected? We are still in the early developmental phase,” he comments.

Although direct comparisons between the sizes of biological and silicon AI systems remain complex, it’s notable that the envisioned biological data center would integrate hundreds of biological chips in contrast to the hundreds of thousands of GPUs typically found in large-scale AI data centers.

“We have a long way to go before these systems are production-ready. Transitioning from a small network playing games to a large language model is a substantial leap,” says Steve Furber from the University of Manchester, UK.

A pressing concern is the lack of clarity on how to store training outcomes within neurons as memory, or how to execute computational algorithms beyond specific tasks, such as video gaming.

Additionally, retraining neurons post-task completion poses challenges, as their training and learning may be lost upon the end of their lifespan. “Proper retraining is essential,” Scherer states. “If retraining is required every 30 days, it may hinder technological continuity.”

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Source: www.newscientist.com

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

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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