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AI technology in the cloud has been developed for safer and more durable batteries



Researchers from Nanyang Technological University, Singapore (NTU Singapore) and Durapower Innovation Singapore Pte Ltd have fostered a cloud-based innovation that can enormously improve the life expectancy and wellbeing of lithium-particle batteries.

As the worldwide shift towards environmentally friendly power and electric vehicles (EVs) accelerates, the interest for productive, protected and supportable batteries has turned into a squeezing concern. Additionally, with the ascent in distributed computing, the interest for energy capacity frameworks for server farms has been developing.

Fueled by the Internet of Things (IoT) andArtificial Intelligence (AI), this new arrangement can help organizations and server farms bring down the dangers related with lithium-particle batteries, including potential fire perils, especially in warm and moist environments like Singapore.

Led by NTU Assistant Professor Hung Dinh Nguyen and Durapower CEO Mr Kelvin Lim, this research project is supported by the Energy Market Authority (EMA) and the National Research Foundation, Singapore (NRF), under the Research, Innovation and Enterprise (RIE) 2020 Plan.

Throughout recent years, the joint group fostered a Fire & Explosion Management System (FXMS), which uses Computerized Twin innovation – where a virtual imitation of a genuine battery is made to reflect the one, in actuality – offering high-exactness, constant observing, as well as expectations of battery conditions as long as five years.

The FXMS can give normal checking of which battery pack is probably going to come up short and can foresee when will be a great opportunity to supplant it, with up to 95 percent precision, up to north of a half year in future. At present, it is being tried in a compartment measured energy capacity arrangement on the NTU Shrewd Grounds.

The group gauges that their patent-forthcoming innovation can assist with broadening the life expectancy of lithium-particle batteries by more than 50%, essentially decreasing fossil fuel byproduct through the decrease of battery squander, as batteries require a ton of assets and energy to make.

Asst Prof Hung Dinh Nguyen, who is the Group Head of Renewables’ Combination and Microgrids at the Energy Research Institute at NTU (ERI@N), made sense of, “Our main aim is to enhance the safety and efficiency of large-scale energy storage systems and Electric Vehicles, as a single faulty cell can spark off a chemical fire that is extremely hard to put out. Since our technology is cloud-based, it is scalable and can easily be adapted for consumer electronics such as mobility devices, laptops and mobile phones, helping the batteries to last longer and in the long run, reduce electronic waste and carbon footprint,”

CEO of Durapower Gathering, Mr Kelvin Lim remarked, “With the global mandate for sustainability, smart mobility, and a carbon neutral future, we’re seeing widespread adoption of energy storage systems and uptake of EVs. The development of a customisable software platform like FXMS furthers efforts towards robust and comprehensive digital infrastructure based on Machine Learning and Artificial Intelligence to capture increasingly complex battery and energy usage in the EV market. The outcomes from this joint initiative with the EMA, NTU and Durapower on FXMS will enable better decisions based on data and analytics, facilitating optimal battery health, performance, and longevity.”

NTU VP (Industry) Teacher Lam Khin Yong, said the joint effort among NTU and Durapower shows the way that new innovation in the green economy can be spearheaded through areas of strength for an industry organization upheld by the Singapore government.

“NTU has a strong track record in working closely with leading industry players, to develop innovations that can meet the key challenges in their sector. Combining our deep expertise in areas such as sustainability, battery technology and deep tech like IoT and AI, with Durapower’s industry knowledge and experience, we can propel innovation quicker and boost the competitiveness of our local SMEs globally in fast-rising industries such as EVs and energy storage systems.”

Computerized Twins, which are virtual imitations of offices or articles in reality, are an essential improvement in the Infocomm business, as it empowers more powerful and more secure dynamic through simulated intelligence proposals. It is likewise an examination region firmly upheld by the NTU 2025 Brilliant course of action, under its Development and Business venture drive sent off recently.

On account of huge battery stockpiling frameworks like those utilized for environmentally friendly power lattices or server farms, the computerized twin considers the immediate administration of batteries, for example, rerouting electrical burden to draw out the existence of more vulnerable batteries or to briefly stop the utilization of a battery pack until it very well may be supplanted.

As battery packs age, for example, those in EVs, they are ordinarily utilized for second-life applications like energy stockpiling lastly be reused into new lithium-particle batteries. The ERI@N is at present creating answers for all parts of battery stockpiling, from battery the executives frameworks to the assembling of batteries.

Pushing ahead, the NTU group will work intimately with Durapower to preliminary their answer on bigger server farms and to modify it for various applications and battery frameworks.


As ChatGPT turns one, big tech is in charge




As ChatGPT turns one, big tech is in charge

The AI revolution has arrived a year after ChatGPT’s historic release, but any uncertainty about Big Tech’s dominance has been eliminated by the recent boardroom crisis at OpenAI, the company behind the super app.

In a sense, the covert introduction of ChatGPT on November 30 of last year was the geeks’ retaliation, the unsung engineers and researchers who have been working silently behind the scenes to develop generative AI.

With the release of ChatGPT, OpenAI CEO Sam Altman—a well-known figure in the tech community but little known outside of it—ensured that this underappreciated AI technology would receive the attention it merits.

With its rapid adoption, ChatGPT became the most popular app ever (until Meta’s Threads took over). Users were amazed at how quickly the app could generate poems, recipes, and other content from the internet.

Thanks to his risk-taking, Altman, a 38-year-old Stanford dropout, became a household name and became a sort of AI philosopher king, with tycoons and world leaders following his every word.

As for AI, “you’re in the business of making and selling things you can’t put your hands on,” according to Margaret O’Mara, a historian from the University of Washington and the author of “The Code,” a history of Silicon Valley.

“Having a figurehead of someone who can explain it, especially when it’s advanced technology, is really important,” she added.

The supporters of OpenAI are sure that if they are allowed unrestricted access to capital and freedom to develop artificial general intelligence (AGI) that is on par with or superior to human intellect, the world will be a better place.

However, the enormous expenses of that holy mission compelled an alliance with Microsoft, the second-biggest corporation in the world, whose primary objective is profit rather than altruism.

In order to help justify Microsoft’s $13 billion investment in OpenAI earlier this year, Altman steered the company toward profitability.

This ultimately led to the boardroom uprising this month among those who think the money-makers should be kept at bay, including the chief scientist of OpenAI.

When the battle broke out, Microsoft stood up for Altman, and the young employees of OpenAI supported him as well. They understood that the company’s future depended on the profits that kept the computers running, not on grand theories about how or why not to use AI.

Since ChatGPT launched a year ago, there has been conflict over whether AI will save the world or end it.

For instance, just months after signing a letter advocating for a halt to AI advancements, Elon Musk launched his own business, xAI, entering a crowded market.

In addition to investing in AI startups, Google, Meta, and Amazon have all incorporated AI promises into their corporate announcements.

Businesses across all industries are registering to test AI, whether it be through magic wands or killer robots, usually from OpenAI or through cloud providers like Microsoft, Google, or Amazon.

“The time from learning that generative AI was a thing to actually deciding to spend time building applications around it has been the shortest I’ve ever seen for any type of technology,” said Rowan Curran, an analyst at Forrester Research.

However, concerns are still widespread that bots could “hallucinate,” producing inaccurate, absurd, or offensive content, so business efforts are currently being kept to a minimum.

In the aftermath of the boardroom drama, tech behemoths like Microsoft, which may soon have a seat on the company’s board, will write the next chapter in AI history.

“We saw yet another Silicon Valley battle between the idealists and the capitalists, and the capitalists won,” said historian O’Mara.

The next chapter in AI will also not be written without Nvidia, the company that makes the graphics processing unit, or GPU—a potent chip that is essential to AI training.

Tech behemoth, startup, or researcher—you have to get your hands on those hard-to-find and pricey Taiwan-made chips.

Leading digital firms, such as Microsoft, Amazon, and Google, are leading the way.

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Amazon is launching Q, an AI business chatbot




Amazon is launching Q, an AI business chatbot

The announcement was made by Amazon in response to competitors who have introduced chatbots that have drawn attention from the public. It was made in Las Vegas during an annual conference the company organizes for its AWS cloud computing service.

San Francisco-based startup A year ago, OpenAI released ChatGPT, which ignited a wave of interest in generative AI tools among the general public and industry. These tools can produce textual content such as essays, marketing pitches, emails, and other passages that bear similarities to human writing.

Microsoft, the primary partner and financial supporter of OpenAI, benefited initially from this attention. It owns the rights to the underlying technology of ChatGPT and has utilized it to create its own generative AI tools, called Copilot.

However, it also encouraged rivals like Google to release their own iterations.

These chatbots represent a new wave of artificial intelligence (AI) that can converse, produce text on demand, and even create original images and videos based on their extensive library of digital books, online articles, and other media.

Q, according to Amazon, is capable of helping staff with tasks, streamlining daily communications, and synthesizing content.

It stated that in order to receive a more relevant and customized experience, businesses can also link Q to their own data and systems.

Although Amazon is seen as the leader in AI research, it is not as dominant as competitors Microsoft and Google when it comes to cloud computing.

According to the researchers, among other issues, less transparency may make it more difficult for users of the technology to determine whether they can depend on it safely.

In the meantime, the business has kept up its AI exploration.

In September, Anthropic, a San Francisco-based AI start-up founded by former OpenAI employees, announced that Amazon would invest up to $4 billion (£3.1 billion) in the business.

Along with new services, the tech giant has been releasing AI-generated summaries and an update for its well-liked assistant Alexa, which allows users to have more human-like conversations. of customer reviews for products.

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WatchGuard reveals 2024 cybersecurity threats forecasted




WatchGuard reveals 2024 cybersecurity threats forecasted

The world leader in unified cybersecurity, WatchGuard Technologies, recently released information about their predictions for cybersecurity in 2024. Researchers from WatchGuard’s Threat Lab predict that in 2024, a variety of new technologies and advancements will open the door for new cyberthreats. Large language models (LLMs), AI-based voice chatbots, and contemporary VR/MR headsets are a few possible areas of focus. Managed service providers (MSPs) play a big part in thwarting these threats.

“Every new technology trend opens up new attack vectors for cybercriminals,” Said WatchGuard Technologies’ Chief Security Officer, Corey Nachreiner. The persistent lack of cybersecurity skills will present the cybersecurity industry with difficult challenges in 2024. As a result, MSPs, unified security, and automated platforms are more crucial than ever for shielding businesses from ever-more-complex threats.

The Threat Lab team at WatchGuard has identified a number of possible threats for 2024. Large Language Models (LLMs) will be one major area of concern as attackers may use LLMs to obtain confidential information. With 3.4 million cybersecurity jobs available globally and a dearth of cybersecurity expertise, MSPs are expected to focus heavily on security services utilizing AI and ML-based automated platforms.

Artificial intelligence (AI) spear phishing tool sales on the dark web are predicted to soar in 2024. These AI-powered programs can carry out time-consuming operations like automatically gathering information, creating persuasive texts, and sending spam emails. Additionally, the team predicts a rise in voice phishing or “vishing” calls that use deepfake audio and LLMs to completely bypass human intervention.

The exploitation of virtual and mixed reality (VR/MR) headsets may pose a growing threat in 2024. Researchers from Threat Lab claim that hackers might be able to obtain sensor data from VR/MR headsets and replicate the user environment, leading to significant security breaches. The widespread use of QR code technology may not come without risks. The group predicts that in 2024, a significant cyberattack will occur when a worker scans a malicious QR code.

These professional observations from the WatchGuard Threat Lab team center on the convergence of artificial intelligence and technology. It is anticipated that in the future, entities of all sizes, will depend more heavily on managed and security service providers due to the rapid advancements in AI technology and the accompanying cybersecurity threats.

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