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

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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.

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Techno and IBM Watsonx is a New Era of Reliable AI Announced by Mahindra

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Together with IBM, Tech Mahindra, a global leader in digital solutions and technology consulting, is assisting organizations in accelerating the adoption of generative AI in a sustainable manner around the globe.

This partnership combines IBM’s Watsonx AI and data platform with AI Assistants with Tech Mahindra’s array of AI products, TechM amplifAI0->∞.

Customers may now access a range of new generative AI services, frameworks, and solution architectures by combining Tech Mahindra’s AI engineering and consulting talents with IBM Watsonx’s capabilities. This makes it possible to create AI programs that let businesses automate operations using their reliable data. Additionally, it gives companies a foundation on which to build reliable AI models, encourages explainability to help control bias and risk, and permits scalable AI deployment in on-premises and hybrid cloud settings.

Chief digital services officer of Tech Mahindra Kunal Purohit says that in order to revitalize businesses, organizations should prioritize responsible AI practices and the integration of generative AI technology.

“Our partnership with IBM can facilitate digital transformation for businesses, the uptake of GenAI, modernization, and ultimately business expansion for our international clientele,” Purohit continued.

Tech Mahindra has created an operational virtual Watsonx Center of Excellence (CoE) to better improve business skills in AI. Using their combined competencies to produce unique offers and solutions, this CoE serves as a co-innovation center, with a dedicated team tasked with optimizing synergies between the two organizations.

The collaborative offerings and solutions developed through this partnership could help enterprises achieve their goals of constructing machine learning models using open-source frameworks while also enabling them to scale and accelerate the impact of generative AI. These AI-driven solutions have the potential to aid organisations enhance efficiency and productivity responsibly.

IBM Ecosystem General Manager Kate Woolley emphasized the potential of the partnership and added that, when generative AI is developed on a basis of explainability, openness, and trust, it may act as a catalyst for innovation and open up new market opportunities.

“Our partnership with Tech Mahindra is anticipated to broaden Watsonx’s user base and enable even more clients to develop reliable AI as we strive to integrate our know-how and technology to support enterprise use cases like digital labor, code modernization, and customer support,” stated Woolley.

This partnership is in line with Tech Mahindra’s ongoing efforts to revolutionize businesses through cutting-edge AI-led products and services. Some of their most recent offerings include Evangelize Pair Programming, Imaging amplifAIer, Operations amplifAIer, Email amplifAIer, Enterprise Knowledge Search, and Generative AI Studio.

The two businesses had previously worked together, which is noteworthy. On the company’s Singapore site, Tech Mahindra had announced earlier this year that it would be opening a Synergy Lounge in partnership with IBM. For APAC organizations, this lounge aims to expedite the adoption of digital. Technology like as artificial intelligence (AI), intelligent automation, edge computing, 5G, hybrid cloud, and cybersecurity can all be effectively implemented and utilized with its assistance.

In addition to Tech Mahindra, IBM Watsonx has been applied in other partnerships to expedite the application of generative artificial intelligence. Early in the year, the GSMA and IBM also announced a new cooperation to develop the GSMA Foundry Generative AI program and GSMA Advance’s AI Training program, respectively, to boost the use and capabilities of generative AI in the telecom industry.

The program is also available digitally, and it covers the technical underpinnings of generative AI in addition to its business strategy. For architects and developers looking for in-depth, useful expertise on generative AI, this program employs IBM Watsonx to deliver hands-on training.

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OpenAI Enhances ChatGPT with Google Drive Integration, Streamlined File Access, and Advanced Analytics

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A major update to ChatGPT was released by OpenAI, enabling users to analyze data straight from OneDrive and Google Drive without having to download and upload. Over the following few weeks, this new feature—which is only available to ChatGPT subscribers who have paid—will be gradually added to the service with the goal of streamlining data analysis and saving customers time and trouble.

According to a blog post by OpenAI, “ChatGPT is now more connected to your data than ever before.” “With the integration of Google Drive and OneDrive, you can directly access and analyse your files – from Excel spreadsheets to PowerPoint presentations – within the chatbot.”

According to OpenAI, ChatGPT can analyze files “more quickly” because to this direct access, which is available to ChatGPT Plus, Enterprise, and Teams users. However, GPT-4o, the improved version of GPT-4 that powers ChatGPT’s premium tiers, is presently the only way to access the additional data analytics tools.

OpenAI has enhanced ChatGPT’s comprehension and manipulation of data, going beyond simple file access. Now, a variety of data-related operations may be carried out by users using natural language commands, such as:

  • Executing analytics-related Python code
  • Combining and streamlining datasets
  • Producing graphs with data from files

Additionally, ChatGPT’s charting capabilities have improved significantly. Now, users may expand their views, engage with the created tables and charts, and personalize the visualisations by altering the colors, posing queries about particular cells, and more. With the exception of several chart types, the chatbot can now create static versions of interactive bar, line, pie, and scatter plot charts.

Additionally, OpenAI emphasized the security of user data. Users of ChatGPT Teams and Enterprise will not have their data used to train AI models, and ChatGPT Plus members have the option to disable this capability.

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India is the Most Adopting Country in Asia Pacific for Generative AI

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India’s use of Generative AI (GenAI) is demonstrated in a research produced by Deloitte titled Generative AI in Asia Pacific: Young Employees Lead as Employers Play Catch-Up. Out of 13 nations, India ranks first in terms of the use and adoption of GenAI, according to a poll conducted among 11,900 people in Asia Pacific. It is astounding to learn that 83% of Indian workers and 93% of students actively use this technology.

India has a good adoption rate of GenAI, which is driven by youthful, tech-savvy workers known as “Generation AI.” These young employees are increasing productivity, learning new skills, managing workloads, and saving time by utilizing GenAI. Employers are facing new opportunities and problems as a result of this shift.

The study estimates that within the following five years, everyday utilization of GenAI would rise by 182%. The belief that GenAI can increase the Asia-Pacific region’s contribution to the global economy is reflected in this growth. Eighty-three percent of Indians think it improves social results, and about seventy-five percent think it has economic benefits.

Important Discoveries:

  • Though only 50% of workers and students in Asia Pacific think their bosses are aware of their use, they are driving the GenAI revolution.
  • Seventeen percent of Asia Pacific’s working hours, or around 1.1 billion hours a year, could be impacted by GenAI.
  • More rapidly than industrialized economies, developing nations are implementing GenAI at a rate of thirty percent.
  • Around 6.3 hours are saved weekly by GenAI users in Asia Pacific, while 7.85 hours are saved by Indian users.
  • Work-life balance has been enhanced, according to 41% of time-saving GenAI users.
  • As per the staff of these businesses, seventy-five percent of them have not adopted GenAI yet.

The AI and data capability leader for Deloitte Asia Pacific, Chris Lewin, stated, “One of the most exciting things about working with GenAI is that it is happening to everything, everywhere, all at once, across the globe.” “Over the past twelve months, we have observed that teams in Italy and Ireland can very immediately relate to the issues that our clients in Indonesia or India are facing.” A crucial insight is that while the swift integration of AI won’t result in the immediate loss of jobs, companies that don’t adjust will bear the consequences. Competing companies that provide AI solutions that have the potential to completely change the nature of modern work will attract their employees, especially fresh talent.

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