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Ex-Apple AI Scientist Helps Northvolt Speed Up Battery Making

Ex-Apple AI Scientist Helps Northvolt Speed Up Battery Making

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Artificial intelligence is being used by Northvolt AB to gain an advantage in the competition for innovative electric car battery technology. 

Previous Apple Inc. artificial intelligence researcher Siddharth Khullar has brought together a group of machine learning specialists at Northvolt to expedite the development and production procedures of the Swedish battery manufacturer. The project may enable the business to increase its testing capacity in some regions.

Ex-Apple AI Scientist Helps Northvolt Speed Up Battery Making

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The specialists have assisted in implementing AI-powered sensors and software, as well as machine learning, to support testing as well as manufacturing at Northvolt’s main facility located in Skellefteå, close to the Arctic Circle. At Northvolt Labs in Västerås, they are actively investigating how artificial intelligence may be utilised to expedite research and development.

“We think in some areas we would be able to save up to 50% of latency,” Khullar said in an interview. “That would mean being able to do twice the number of experiments with the same number of people.”

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AI can be helpful for the Future of EVs

In an effort to power electric vehicles more affordably and effectively, battery manufacturers are vying for market share with next-generation technology. AI may pave the way for novel developments in battery chemistry as well as design. Battery research is still relatively new to machine learning, but given the volume and complexity of data in the field, it makes sense.

Professionals are now using artificial intelligence in manufacturing, chemistry, and cell design. Recently, research has begun to explore how machine learning may take the role of physical inspections. Khullar stated that there are over 4,000 inspection locations at Northvolt’s main facility alone.

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“AI is about returning time to our people, so they can do more,” the researcher said, adding that battery-making yields so much data that it couldn’t be handled by human workers alone.

“AI won’t be able to replace 10 years of working on a specific process in the line,” Khullar said. “But we can assist them with a lot of knowledge search, summarization, preparation of content, analyzing a ton of numbers and showing them patterns and making better decisions.”

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Almost his tenure of almost six years at Apple, Khullar collaborated on research endeavours pertaining to self-driving automobiles and sleep tracking, as well as features for the Apple Watch. His team has expanded to eighteen members since he became part of Northvolt barely more than a year ago, and he is actively seeking more hires.

Samsung Announces "A New Era of Galaxy AI," Starting with AI Live Translate Call

Samsung Announces “A New Era of Galaxy AI,” Starting with AI Live Translate Call

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In a groundbreaking move, Samsung has unveiled its ambitious plans for a revolutionary mobile AI experience, heralding a new era in communication, productivity, and creativity. Dubbed “Galaxy AI,” the comprehensive initiative aims to empower users globally through a fusion of on-device AI developed by Samsung and cloud-based AI collaborations with industry partners.

The flagship feature, AI Live Translate Call, takes center stage, offering real-time audio and text translations during phone calls with individuals speaking different languages. This innovation seamlessly integrates into the native calling function, eliminating the need for third-party translation apps. Crucially, Samsung emphasizes that translations occur directly on the device, prioritizing user privacy.

Samsung Announces "A New Era of Galaxy AI," Starting with AI Live Translate Call

Image Source: samsungmobilepress.com

While details on specific features remain elusive, Samsung’s press release hints at Galaxy AI’s broader mission—breaking down communication barriers, streamlining productivity, and fostering creativity in key aspects of daily life. The tech giant assures users that these advancements will be coupled with a steadfast commitment to maintaining privacy and security.

Galaxy AI as a comprehensive intelligence offering

Wonjoon Choi, Executive Vice President and Head of R&D for Samsung’s Mobile eXperience Business, envisions Galaxy AI as a “comprehensive intelligence offering” poised to “change how we think about our phones forever.” This sentiment underscores the transformative potential Samsung sees in integrating AI seamlessly into the mobile experience.

The anticipated launch of Galaxy AI in early 2023 has piqued the curiosity of tech enthusiasts and Samsung users alike. The promise of an AI-driven mobile future prompts questions about the specifics of how productivity and creativity will be redefined through Samsung devices.

Also Read: How to block pop-up ads and unwanted notifications on Android?

This announcement follows Samsung’s earlier revelation of Gauss, the company’s proprietary large language model designed for tasks such as email composition, summarization, and image creation. While currently limited to internal use, Samsung hints at plans to release Gauss for Galaxy phones, further solidifying the company’s commitment to integrating cutting-edge AI into its consumer-facing products.

As the tech world eagerly awaits the rollout of Galaxy AI, Samsung appears poised to set a new standard for mobile intelligence, offering users a glimpse into the transformative potential of AI in enhancing the way we communicate, work, and create with our smartphones.

Quants With $23 Trillion See AI Takeover Even as They Hold Back

Quants With $23 Trillion See AI Takeover Even as They Hold Back

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The tech-savvy population in the finance sector is getting ready for a new age driven by artificial intelligence, but they aren’t quite willing to accept the technology completely just yet.

Sixty-two percent of quantitative or systematic financiers with US$22.5 trillion under management responded to an Invesco study predicting that artificial intelligence (AI) will be as essential as conventional analysis in ten years, and 13 percent said that it would be even more so.

Quants With $23 Trillion See AI Takeover Even as They Hold Back

Image Source: finance.yahoo.com

However, people were divided when asked how they currently use the technology, only nine percent said they utilise it thoroughly, thirty-eight percent said they utilise it to a certain extent, and the other respondents indicated they don’t use it at this time.

The difference illustrates the dismal rate of adoption of artificial intelligence on Wall Street at the same time as the technology’s hype reaches a fever peak.

While financiers have resorted to using machines to do activities like analysing market trends or searching the news for trade signals, they have mostly refrained from using them to make real allocation choices.

“People don’t believe this is an easy thing,” said Bernhard Langer, chief investment officer of Invesco Quantitative Strategies. “Yes, AI is a huge toolbox. Big data is opening new horizons. But I have to be careful and understand what I’m doing.

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Despite their hesitation, the majority of participants in the yearly quantitative poll proposed using AI to detect patterns and trends in the market, highlighting the technology’s enormous potential to improve the performance of portfolio.

Proponents claim that artificial intelligence (AI), or its information-driven offspring machine learning, would prove more adaptable to shifting markets due to the fact it is more adept at identifying complicated correlations between various factors.

The study revealed that the quality of accessible data was the second most perceived problem of artificial intelligence, behind the complexity and comprehensibility of the models.

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In the meanwhile, almost all responses stated that people choose their stocks using factors, which is a conventional method of doing so that takes into account a security’s attributes.

However, the majority stated that people anticipate increasing their adjustments to these transactions in the upcoming years as the market climate evolves.

“We are living in difficult times,” Langer said, citing the political environment and rapid rate increases. “People are looking for ways to weather the storm and to be more dynamic is an answer – if this answer is successful.” 

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OpenAI Seeks $90 Billion Valuation in Possible Share Sale, WSJ Says

OpenAI Claims Tool to Detect AI-Generated Images Is 99% Accurate

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A technology being developed by OpenAI will accurately and efficiently identify photographs produced by its Dall-E 3 artificial intelligence platform.

OpenAI Seeks $90 Billion Valuation in Possible Share Sale, WSJ Says
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The creator of the well-known chatbot ChatGPT and the picture generator DALL-E, Mira Murati, stated on Tuesday the newly released OpenAI tool is 99% accurate. She stated that it is undergoing internal testing before a scheduled public release but did not provide a time frame.

While both CEOs were at Laguna Beach, the Wall Street Journal, California, for the Tech Live event, Murati appeared together with OpenAI CEO Sam Altman.

There are currently a few tools available, however, they may not accurately identify photographs or other information created by Artificial Intelligence (AI).

OpenAI created an identical tool in January that was meant to identify language that was generated by AI, but it was cancelled in July due to its reliability issues. The business claimed it was devoted to finding techniques to determine whether audio or visual media had been produced using AI as well as to upgrading that software.

Given that artificial intelligence (AI) technologies may be used to modify or manufacture news coverage on major world events, the necessity for such detection systems is only increasing in relevance. Another part of the problem is addressed by Adobe Inc.’s Firefly image creator, which guarantees not to produce anything that violates the artists’ intellectual property rights.

The OpenAI leaders also provided some information on Tuesday on the artificial intelligence model that would come after GPT-4. OpenAI applied for a “GPT-5” trademark with the United States Patent and Trademark Office in July, even though the firm hasn’t officially announced what the successor model to GPT-4 may be named.

Chatbots like ChatGPT, which employs GPT-4 and a previous model, GPT-3.5, have a tendency to fabricate information, a condition known as hallucination. When asked if a GPT-5 model would be less likely to do this, Murati replied with a Maybe.

she also stated that they would see that. for now, they’ve made significant improvements with GPT-4 in the hallucinatory area, but they’re still not exactly where they need to be, she added.

Altman also discussed the potential that OpenAI would create its computer chips instead of relying on those made by firms like Nvidia Corp., the industry-leading firm at the moment, to train and run its artificial intelligence models.

TCS Seeks to Use Microsoft AI Partnership to Improve Margins

TCS Seeks to Use Microsoft AI Partnership to Improve Margins

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In a strategic move aimed at fostering growth, Tata Consultancy Services Ltd (TCS), Asia’s largest outsourcing company, is intensifying its collaboration with Microsoft Corp to develop cutting-edge artificial intelligence (AI)-based software services. 

TCS Seeks to Use Microsoft AI Partnership to Improve Margins
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The partnership involves leveraging Azure OpenAI, a collaboration between Microsoft and OpenAI led by Sam Altman, as well as utilizing the cloud-based AI tool GitHub Copilot. The goal is to offer bespoke solutions, such as fraud detection for financial services clients and personalized customer services for retailers.

K Krithivasan, the Chief Executive Officer of TCS, highlighted the potential of these services to enhance margins in an interview with Bloomberg News. He emphasized that the company is working closely with Microsoft to build industry-specific solutions that can be jointly brought to market. However, Krithivasan acknowledged that it might take a couple of quarters before these initiatives reach a critical mass to significantly impact the overall market.

With over 100,000 generative AI-ready employees, TCS is integrating AI technology into various software offerings, a move that has reportedly contributed to the success of securing large deals. The company’s strategy aligns with a broader industry trend among Indian IT firms, including smaller rivals like Infosys, to shift focus from traditional outsourcing to high-value services encompassing big data, machine learning, analytics, cloud computing, and AI.

Krithivasan, who assumed the role of CEO in June, has undertaken structural changes within the company to tap into the business expertise of senior executives and enhance client connections. While expressing optimism about the partnership with Microsoft, he emphasized the need for sustained growth and the removal of organizational frictions.

Also Read: X Faces European Union Investigation for Israel-Palestine Content

The move towards advanced technologies is crucial for Indian IT firms as they face margin pressures due to global economic uncertainties and geopolitical events. Traditionally, these companies provided cost-effective back-office operations, but they are now positioning themselves as partners in digital transformation for global enterprises.

“We should be participating more where the customers are investing for the future,” Krithivasan stated, underscoring the firm’s commitment to enhancing capabilities in areas crucial for clients’ future investments. As the partnership with Microsoft evolves, TCS aims to navigate the dynamic landscape of the IT industry, adapting to emerging technologies to stay at the forefront of innovation and client satisfaction.

US Space Force Pauses Generative AI Use Based on Security Concerns

US Space Force Pauses Generative AI Use Based on Security Concerns

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In a move reflecting growing concerns over data security, the US Space Force has issued a temporary ban on the use of web-based generative artificial intelligence tools and large language models (LLMs). 

US Space Force Pauses Generative AI Use Based on Security Concerns
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The ban, detailed in a September 29 memo seen by Bloomberg News, applies to the Guardian Workforce, the term for Space Force members, and restricts the use of government data on web-based generative AI tools unless specifically approved.

Generative AI tools, including chatbots and platforms like OpenAI’s ChatGPT, have gained immense popularity for their ability to create text, images, or other media from simple prompts. Lisa Costa, Space Force’s chief technology and innovation officer, acknowledged the transformative potential of generative AI in the workforce but expressed concerns over cybersecurity, data handling, and procurement requirements in the memo. The adoption of AI and LLMs, she stressed, must be conducted responsibly.

While the memo did not provide specific details, experts have raised alarms about potential risks associated with handling voluminous and potentially non-public data. There are fears that such data, used to train models and generate content, could be vulnerable to leaks or hacking.

The decision has already impacted users of generative AI platforms, including at least 500 individuals relying on Ask Sage, a secure generative AI platform. Nicolas Chaillan, the founder of Ask Sage and former chief software officer for the Air Force and Space Force, criticized the decision as short-sighted, especially given the Defense Department’s push for accelerated AI adoption. In August, the Pentagon established a generative AI task force to explore use cases for LLMs across the department.

Chaillan argued that his platform already meets security requirements and has been “whitelisted” and approved for use by the Air Force. He raised concerns in a September email, expressing that the decision would set the US back in the AI race, particularly against China.

Also Read: Adobe Releases New AI Models Aimed at Improved Graphic Design

The impact of the Space Force’s decision extends beyond national defense, affecting over 10,000 customers in the Defense Department, including 6,500 in the Air Force, who utilize Ask Sage for tasks such as report writing. The CIA has already developed a generative AI tool for use within the intelligence community, indicating the broader interest in leveraging AI capabilities across various government agencies.

As the Space Force plans to release new guidance within 30 days, the decision to pause generative AI use reflects a delicate balancing act between embracing cutting-edge technologies and addressing pressing security concerns in an era where data vulnerability is a growing global challenge.