Source: The Guardian

An Arizona state representative behind a new law that regulates deepfakes in elections used an artificial intelligence chatbot, ChatGPT, to write part of the law – specifically, the part that defines what a deepfake is.

Republican Alexander Kolodin’s bill, which passed unanimously in both chambers and was signed by the Democratic governor recently, will allow candidates in Arizona or residents to ask a judge to declare whether a supposed deepfake is real or not, giving candidates a way to debunk AI-generated misinformation.

Kolodin said he used the chatbot ChatGPT to help define what “digital impersonation” is for the bill in part because it was a fun way to demonstrate the technology. He provided a screenshot of ChatGPT’s response to the question of what a deepfake is, which is similar to language that is included in the bill’s definition.

“I am by no means a computer scientist,” Kolodin said. “And so when I was trying to write the technical portion of it, in terms of what sort of technological processing makes something a deepfake, I was kind of struggling with the terminology. So I thought to myself, well, let me just ask the subject matter expert. And so I asked ChatGPT to write a definition of what was a deepfake.”

That portion of the bill “probably got fiddled with the least – people seemed to be pretty cool with that” throughout the legislative process. ChatGPT provided the “baseline definition” and then “I, the human, added in the protections for human rights, things like that it excludes comedy, satire, criticism, artistic expression, that kind of stuff,” Kolodin said.

Kolodin has used ChatGPT in other lawmaking a couple times, he said, to help write the first drafts of amendments and save time. “​​Why work harder when you can work smarter,” Kolodin replied on Twitter when an Arizona reporter tweeted about his use of ChatGPT in the bill.

The federal government has not yet regulated the use of AI in elections, though groups have been pressuring the Federal Election Commission to do so because the technology has moved much faster than the law, creating concerns it could disrupt elections this year. The agency has said it expects to share more on the issue this summer.

The Federal Communications Commission, meanwhile, will consider whether to require disclaimers on AI-generated content on political ads running on radio and TV, the Associated Press reported Wednesday. The FCC previously made clear that AI-generated voices in robocalls, like an instance in which President Joe Biden’s voice was spoofed to New Hampshire voters, are illegal.

In the absence of federal regulations, many states have advanced bills to regulate deepfakes. It’s typically an area of rare bipartisan agreement.

Some bills have outlawed the use of deepfakes in political contexts in some instances, while others require disclosures that note whether the content is AI-generated. Kolodin’s bill takes a different approach to concern over deepfakes in elections than that of many other states considering how to regulate the technology.

Rather than outlaw or curb usage, Kolodin wanted to give people a mechanism to have the courts weigh in on the truthfulness of a deepfake. Having it taken down would be both futile and a first amendment issue, he said.

“Now at least their campaign has as a declaration from a court saying, this doesn’t look like it’s you, and they could use that for counternarrative messaging,” he said.

The bill does allow for a deepfake to be ordered removed, and the person could seek damages, if it depicts someone in a sexual act or nude, if the person in the deepfake is not a public figure and if the publisher knew it was false and refused to remove it. The Arizona bill also takes a different approach on disclaimers.

Rather than outright requiring them, as some state laws have, it says that a person bringing a potential court action wouldn’t have a case if the publisher of the digital impersonation had conveyed that the image or video was a deepfake or that its authenticity was in dispute, or whether it would be obvious to a reasonable person that it was a deepfake.

Kolodin said disclaimers carry speech concerns for him, too, because they cut into airtime or, in some cases, ruin the joke or the point of a message. He cited a recent instance where the Arizona Agenda, a local publication covering state politics, created a deepfake of the US Senate candidate Kari Lake, where it was obvious to a viewer that the video wasn’t real based on what Lake was saying. (Full disclosure: the reporter of this story was the co-founder of the Arizona Agenda, but is no longer involved.)

“Any reasonable person would have realised that [it was fake], but if you had a label on it, it would have ruined the joke, right?” Kolodin said. “It would have ruined the journalistic impact. And so I think a prescribed label is further than I wanted to go.”

In one instance in Georgia, a state representative trying to convince fellow lawmakers to approve a bill outlawing deepfakes in elections used an AI-generated image and audio of two people who opposed the bill, faking their voices to say they endorsed it.

Kolodin hopes his bill will become a model for other states because he has worried that well-intentioned efforts to regulate AI in elections could trample on speech rights.

“I think deepfakes have a legitimate role to play in our political discourse,” he said. “And when you have politicians regulating speech, you kind of have the fox guarding the hen house, so they’re gonna say, oh, anything that makes me look silly is a crime. I absolutely hope that other state legislators pick this up.”

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Source: Reuters

Taiwanese major chip supplier, TSMC forecasted an annual revenue growth of 10% in the global semiconductor industry, excluding memory chips.

“This is a new golden age of opportunity with AI,” said senior vice-president Cliff Hou, who was speaking at an event in Hsinchu, where the company is headquartered.

In April, TSMC lowered its outlook for the global semiconductor industry excluding memory to a growth rate of around 10% from a previous forecast of more than 10%. World Semiconductor Trade Statistics has forecast growth of 13.1% for the global semiconductor market in 2024.

TSMC has estimated second-quarter sales may rise as much as 30% as it rides a wave of demand for semiconductors used in artificial intelligence applications (AI). Nvidia forecasted its quarterly revenue above estimates and announced a stock split, lifting shares to a record-high territory and impressing investors who have tripled the chipmaker’s market value in the past year on AI optimism.

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Semiconductor competition continues after Malaysia announced her mission to be Southeast Asia’s largest integrated circuit design park last April. Now, Vietnam joins the competition for the same crown, with the support from an American semiconductor titan – Marvell Technology Inc.

Marvell Technology, Inc., a titan in data infrastructure semiconductor solutions, accelerated the growth of its workforce and presence in Vietnam in the past year since the company announced plans to expand R&D, engineering and design activities in the country. Marvell committed to 50% growth of its workforce in Vietnam in three years, a target shared by the company during last year’s U.S.-Vietnam Innovation and Investment Summit attended by Marvell Chairman and CEO Matt Murphy. Today, Marvell is ahead of its plans, achieving more than 30% growth in just eight months.

Marvell has also expanded its physical footprint in Vietnam with a new location in Da Nang, adding to its offices in Ho Chi Minh City. The growth of its footprint demonstrates the company’s commitment to creating a world-class semiconductor design hub in the country.

“We are excited with the momentum we’ve gained since we announced our design center plans last year, including our progress in adding top engineering talent to our team and expanding our number of sites,” said Murphy. “Vietnam is rapidly becoming a center of semiconductor innovation and we are committed to being part of that.”

A new Marvell design center facility in Ho Chi Minh City, which is expected to open within the next year, and other Marvell engineering facilities in Vietnam are focused on high-speed data center optical connectivity, storage, and analogue and mixed-signal semiconductor technologies. These are critical to the build-out of accelerated infrastructure to meet the rising performance and power requirements of artificial intelligence (AI) and cloud data centers.

“Marvell has been part of the technology ecosystem in Vietnam for over ten years. The company is committed to attracting the best and brightest engineering talent to its semiconductor design center in Vietnam, and to contributing to the growth of the country’s semiconductor community,” said Dr. Loi Nguyen, Executive Vice President of Cloud Optics at Marvell and a native of Ho Chi Minh City.

Malaysia’s Economy Minister Rafizi Ramli said the government will offer incentives including subsidised office spaces, exemptions on employment passes, relocation services and lower corporate tax rates for foreign venture capital firms, tech entrepreneurs and unicorns – startups reaching a $1 billion valuation – looking to invest in Malaysia.

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Artificial Intelligence (AI) is probably the world’s most overrated concept now. From medical devices to metalworking equipment, AI has a stake in every pie.

The world has been on tenterhooks on which jobs would be taken over by AI. BBC quoted a report by investment bank Goldman Sachs suggested that AI could replace the equivalent of 300 million full-time jobs across the globe. It concluded many administrative, legal, architecture, and management roles could be affected.

The emergence of AI is hitting the global labour force “like a tsunami” according to International Monetary Fund (IMF) Managing Director Kristalina Georgieva. AI is likely to impact 60% of jobs in advanced economies and 40% of jobs around the world, Georgieva remarked recently at an event in Zurich organised by the Swiss Institute of International Studies. 

“We have very little time to get people ready for it, businesses ready for it, it could bring tremendous increase in productivity if we manage it well, but it can also lead to more misinformation and, of course, more inequality in our society,” Georgieva reiterated.

Ongoing Challenges

While we accept Machine Learning (ML) and AI has become part of our lives, we need to recognise it is still undergoing training. Asking a software to make smart decisions in any situation requires astronomical graphic processors and capital — which may take years before we get there. It is very hard to recreate a program to be human-like will be a big challenge even for the most sophisticated AI engineers.

General Motors’ Cruise, best known for its autonomous driving technology is back on the roads. It earlier suspended operations after hitting a pedestrian in San Francisco.

This time, when Cruise resumes operating, there will be a “safety driver” at the wheel — a safety precaution in case of emergency. Cruise reportedly said it updated its software to better respond to such incidents in the future. Cruise’s Chief Executive and other executives also resigned and the company laid off nearly a quarter of its workforce in the weeks after the accident. 

BBC added Cruise’s own investigation, commissioned through the law firm of Quinn Emanuel Urquhart & Sullivan, cited a number of faults with Cruise including an “us versus them” attitude toward regulators, and a “myopic focus” on avoiding blame in the incident.

“We acknowledge that we have failed to live up to the justifiable expectations of regulators and the communities we serve,” Cruise wrote in its blog post on the report at the time. “In doing so, we also fell woefully short of our own expectations.”

Growing Pains

AI’s entry into automotive, aviation, and the latest in dating apps. Bumble’s founder, Whitney Wolfe Herd — who recently stepped down as CEO — recently addressed how the dating app will utilise artificial intelligence while appearing at The Bloomberg Technology Summit, the New York Post reported. Herd added the app will use the advanced technology to help swiping singles narrow down their matches and not just improve people’s flirting, but also do it for them.

“There is a world where your dating concierge could go and date for you, with another dating concierge… You don’t have to talk to 600 people. It will go scan all of San Francisco for you and say, ‘These are the three people you really ought to meet.’ That’s the power of AI when harnessed the right way,” Wolfe Herd said according to The Independent. 

This new feature could help the wave of singletons reporting dating fatigue who have become exhausted by the disposable dating culture of seemingly endless matches. As AI continues to integrate into diverse sectors, from transportation to personal relationships, its potential to transform our daily lives becomes increasingly evident.

While the journey towards seamless and sophisticated AI applications is ongoing, the advancements showcased by leaders like Whitney Wolfe Herd illustrate the promising future ahead. We are on the cusp of a new era where technology not only augments our abilities but also reshapes our interactions and connections. However, we cannot afford to forget being vigilant in the event of the unexpected.

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Defense Advanced Research Projects Agency (DARPA)’s Air Combat Evolution (ACE) program has achieved the first-ever in-air tests of AI algorithms autonomously flying an F-16 against a human-piloted F-16 in within-visual-range combat scenarios. DARPA is a research and development agency of the United States Department of Defense responsible for the development of emerging technologies for use by the military.

It has reportedly been exploring integrating AI into fighter jets to improve pilots’ capabilities in aerial combat. In flight, the ACE AI algorithms controlled a specially modified F-16 test aircraft known as the X-62A, or VISTA (Variable In-flight Simulator Test Aircraft), at the Air Force Test Pilot School at Edwards Air Force Base, California, where all demonstrations of autonomous combat maneuvers took place in 2023 and are continuing in 2024.

“Being able to trust autonomy is critical as we move toward a future of warfare involving manned platforms fighting alongside unmanned systems,” said Air Force Lt. Col. Dan Javorsek (Ph.D.), ACE program manager in DARPA’s Strategic Technology Office (STO). “We envision a future in which AI handles the split-second maneuvering during within-visual-range dogfights, keeping pilots safer and more effective as they orchestrate large numbers of unmanned systems into a web of overwhelming combat effects.”

Later this year, United States Air Force Secretary Frank Kendall plans to climb into a modified F-16 trainer and take to the skies above Edwards Air Force Base in California. A safety pilot will join him, but if all goes as planned, neither will touch the flight controls — instead, AI algorithms will do the flying.

Kendall wants to witness one of the AI versus human dogfights that DARPA’s Air Combat Evolution, or ACE, program began conducting last year together with the Air Force Test Pilot School. In September, AI “agents”, meaning software written to autonomously carry out a specific task, for the first time piloted the modified trainer, designated the X-62A VISTA, against a conventionally piloted F-16.

“I want to get a sense of how the autonomy actually functions and get some feedback of how far that technology has come,” Kendall told reporters at the Space Symposium in Colorado Springs.

AI’s Controversy

AI made waves, the ambitious billionaire embedded into his electric vehicles. Essentially hands-free, the car self-drives while the driver is “given the license”” to place his/her focus somewhere else.

This technology landed Tesla in hot water after its Autopilot and Full Self Driving got the brand into trouble for fatal crashes. The real earthshaker was Tesla settling the lawsuit — a crash that killed an Apple engineer in 2018.

The U.S. National Highway Traffic Safety Administration reportedly examined at least 956 crashes in which Autopilot was initially reported to have been in use. The agency separately launched more than 40 investigations into accidents involving Tesla automated-driving systems that resulted in 23 deaths.

This similar technology by Ford is the latest to get into trouble with the same troubles. Federal investigators have launched a probe into Ford’s hands-free Advanced Driver Assistance System, Blue Cruise, involving two fatal incidents involving Ford Mustang Mach E models fitted with the technology.

The Office of Defects Investigation (ODI) will establish to what extent Blue Cruise was involved in the accidents and “evaluate the system’s performance of the dynamic driving task and driver monitoring.” Both accidents took place in San Antonio, Texas and Philadelphia, Pennsylvania. 

A Mustang Mach E operating Blue Cruise ran into a stationary vehicle, causing one fatality in Texas and two in Pennsylvania. The real question is: should humans trust a software to make quick and informed decisions based solely on algorithms? When it concerns safety, the risks and damages that accompany them are irreversible.

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Scopio Labs, developer of Full-Field Digital Cell Morphology imaging and analysis platforms, as well as digital morphology, has been granted De Novo clearance by the U.S. Food and Drug Administration (FDA) for its Full-Field Bone Marrow Aspirate (FF-BMA) Application.

This marks a pivotal moment, establishing a new regulatory category for all-digital bone marrow aspirate analysis software. Prior, Vietnam showed off its success in using additive manufacturing to save a teenager with bone cancer.

Bone marrow cytology, the microscopic analysis of cells in bone marrow samples, remains a crucial diagnostic tool for a wide range of blood disorders. Hematologic malignancies account for about 10% of all diagnosed cancers in the U.S. and remain a leading cause of the global cancer burden.

Bone marrow aspirate (BMA) plays a vital role in diagnosing these and other hematologic conditions, both malignant and benign. However, traditional manual methods are labor-intensive, time-consuming, and heavily reliant on highly skilled hematopathologists to ensure accuracy.

Scopio’s FF-BMA Application transforms BMA analysis by introducing a fully digital workflow that seamlessly integrates with Scopio’s X100 and X100HT platforms. By combining high-resolution full-field imaging with a robust AI-powered decision support system (DSS), this solution aims to significantly benefit healthcare professionals and patients.

It enables hematopathologists to access and review bone marrow smears remotely (via a secure hospital network), reducing turnaround time, fostering collaboration, facilitating expert second opinions, and bolstering diagnostic confidence.

“We commend the FDA for acknowledging the essential need to support hematology experts in their complex work,” said Itai Hayut, CEO of Scopio Labs. “The approval of the FF-BMA Application arms them with robust decision support systems. By harnessing AI and Full-Field imaging, labs can streamline workflows, reduce operational costs, and enhance patient care.”

“Scopio’s FF-BMA Application addresses the urgent need for digital innovation amid the rising prevalence of hematologic conditions and healthcare demands,” said Adam Bagg, MD, a Professor of Pathology and Laboratory Medicine in the Perelman School of Medicine at the University of Pennsylvania and a lead investigator in the BMA study that was submitted to the FDA. “By optimising digital workflows and enabling unique remote review of entire smears, we are hopeful this technology can help enhance efficiency across the board.”

The FF-BMA Application is designed to assist trained operators in streamlining BMA review and reporting. It automates the detection and visualization of hematopoietic cells in stained smears, thus facilitating essential evaluations such as bone marrow smear quality assessment, blast cell and plasma cell estimation, and calculation of the myeloid to erythroid (M:E) ratio. This innovative tool aims to standardise BMA analysis, elevate diagnostic precision, and ultimately improve patient care.

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As technology continues to advance, leveraging AI not only enhances productivity and quality, it also contributes to the evolution of a more intelligent and adaptive manufacturing ecosystem. There is a plethora of benefits to reap from being smart about tapping, thanks to algorithms.

Japan, known for its obsession with perfection has also adopted AI for its food industry. Osaka Ohsho’s parent firm, Eat&Holdings, simply did not have enough manpower to check every single dumpling, or keep up with demand. It subsequently turned to technology for an answer.

In January 2023, it opened a high-tech factory equipped with AI-powered cameras trained to detect any faulty gyoza on the production lines. Today this facility makes two dumplings every second. That’s twice the speed of the other Osaka Ohsho production sites. 

“By implementing AI, we have reduced the manpower on the manufacturing line by almost 30%,” says spokeswoman Keiko Handa. 

The firm has also recently launched an AI-powered cooking robot called I-Robo at one of its Tokyo restaurants. As it takes time to train chefs, the company says the technology will help with the labour shortage issue. While many hope AI can pick up the slack, a robot is still a robot and will have glitches.

Balancing the Gears: Navigating AI Integration 

Integrating AI in metalworking is only a good idea if the concoction of human interference is right instead of programming steps soley from historical data and leaving the robot to do its thing. Though integration of AI in tapping for instance, brought about transformative changes, with AI as the common tool in today’s manufacturing world, it is imperative to be smart about it than being a lagger. Integrating AI in tapping represents a leap forward in the capabilities of metalworking machinery.

Over reliance on AI might be a recipe for disaster — there are substantial evidence to show for it. The automotive industry has been on the hot seat lately. Tesla, who swore by AI and autonomous driving has chocked up incidents to invite doubts about its quality. It is anybody’s guess if AI encouraged complacency or putting dollars above sense.

The latest being Apple, who shelved research and development effort to develop an electric and self-driving car, codenamed “Project Titan”. Apple never openly discussed any of its automotive research, but around 5,000 employees were reported to be working on the project as of 2018.

Boeing, who is neck-deep in crisis and eroded public’s trust is planning to adopt robotics to minimise faults during manufacturing. This came after a series of incidents which drove passengers to check on the aircraft for the flights they booked before boarding. Boeing’s colossal trust issues outweighed the corrective measures announced to address the incidents.

Seoul has self-driving buses at night and they did a splendid job spooking passengers. It was only having a driver at the wheel assured passengers it was safe to board.

BBC quoted Graham Currie, a professor of public transport at Monash University in Melbourne: “The view that autonomous cars are our future is sheer science fiction. It’s nonsense, quite frankly. On the street we have dogs, we have children, we have weather, we have other vehicles. Technology hasn’t sorted all of that out yet and it may never do.”

Driver lifting his hand and foot off controls. Image credit: BBC

According to Professor Currie, governments are especially interested in the possibilities of autonomous public transport because the majority of the cost of a bus route is the driver’s salary. Naturally, this has led to some concern among bus drivers. The trade union representing Seoul’s 18,000 bus drivers told the BBC that the city government has never contacted them about its plans for an autonomous future.

“Self-driving should not replace human labour completely,” says Yoo Jae-ho, Secretary-General of the Seoul City Bus Union. “Right now, I don’t think that’s even possible – it’s too dangerous.”

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Source: McMaster University

New antibiotics are needed with the worldwide spread of drug-resistant bacteria but even modern AI methods are limited at isolating promising chemical compounds, especially when researchers must also find ways to manufacture these new AI-guided drugs and test them in the lab. 

In a new study, published in the journal Nature Machine Intelligence, researchers report they have developed a new generative AI model called SyntheMol that can design new antibiotics to stop the spread of Acinetobacter baumannii, which the World Health Organization has identified as one of the world’s most dangerous antibiotic-resistant bacteria.  

Notoriously difficult to eradicate, A. baumannii can cause pneumonia, meningitis and infect wounds, all of which can lead to death. Researchers say few treatment options remain.  

“Antibiotics are a unique medicine. As soon as we begin to employ them in the clinic, we’re starting a timer before the drugs become ineffective, because bacteria evolve quickly to resist them,” says Jonathan Stokes, lead author on the paper and an assistant professor in McMaster’s Department of Biomedicine & Biochemistry, who conducted the work with James Zou, an associate professor of biomedical data science at Stanford University.  

“We need a robust pipeline of antibiotics and we need to discover them quickly and inexpensively. That’s where the artificial intelligence plays a crucial role,” he says. 

Researchers developed the generative model to access tens of billions of promising molecules quickly and cheaply.  

They drew from a library of 132,000 molecular fragments, which fit together like Lego pieces but are all very different in nature. They then cross-referenced these molecular fragments with a set of 13 chemical reactions, enabling them to identify 30 billion two-way combinations of fragments to design new molecules with the most promising antibacterial properties. 

Each of the molecules designed by this model was in turn fed through another AI model trained to predict toxicity. The process yielded six molecules which display potent antibacterial activity against A. baumannii and are also non-toxic.  

“Synthemol not only designs novel molecules that are promising drug candidates, but it also generates the recipe for how to make each new molecule. Generating such recipes is a new approach and a game changer because chemists do not know how to make AI-designed molecules,” says Zou, who co-authored the paper. 

The research is funded in part by the Weston Family Foundation, the Canadian Institutes of Health Research, and Marnix and Mary Heersink.    

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For the Singapore-based subsidiary of TOPPAN Holdings Inc., a Japanese pioneer in printing technologies and a leading supplier of high quality Flip Chip Ball Grid Array (FC-BGA) substrates, this factory will be the first in Singapore to manufacture high-end FC-BGA substrates used in bleeding edge semiconductor products such as Network Switches and Artificial Intelligence (AI) / Machine Learning (ML) devices.

The production ramp-up is part of TOPPAN’s strategic growth plan to address the increasing global and regional demand for advanced substrates and complements its main production hub in Japan. Research and development (R&D) on advanced substrate technologies to meet the future performance demands of products for such applications also will be conducted at this facility by AST.

With a target to start production by the end of 2026, AST‘s factory will implement state of the art factory automation to produce substrates of highest quality and yield. This factory, with a ~95,000 sqm floor area, will also employ over 200 high-tech engineers and skilled technicians, besides other operators, providing them with an opportunity to learn and lead in the field of FC-BGA substrate manufacturing and development.

TOPPAN will bring their most advanced substrate manufacturing know-how for implementation in AST’s production lines. TOPPAN’s large-body and high-layer-count substrate technology is proven in the products of several well-known large semiconductor companies worldwide. AST’s initial and key hires for FC-BGA substrate manufacturing will undergo intensive training in TOPPAN’s Niigata factories in Japan.

Broadcom Inc., a global technology leader that designs, develops, and supplies a broad range of semiconductor, enterprise software and security solutions, is also supporting the establishment of this world class manufacturing facility in Singapore.

“AST will be our first ever FC-BGA manufacturing facility outside of Japan,” said Mr. Tetsuro Ueki, Senior Managing Executive Officer and Head of TOPPAN’s Electronics Division. “AST will provide high-end FC-BGA substrates that are essential for cutting-edge semiconductor products. By leveraging the design and manufacturing expertise developed at TOPPAN Japan’s Niigata Plant and combining it with state-of-the-art automation technology, AST will achieve the highest quality and production efficiency. We sincerely appreciate the unwavering support from the Singapore government agencies, EDB and JTC, and the invaluable assistance from our esteemed client, Broadcom, which made this project possible,” he added.

Mr Beng Kong Pee, Executive Vice President of the Economic Development Board of Singapore, said, “AST’s new facility is a significant addition to Singapore’s semiconductor ecosystem, which today already hosts a diverse range of manufacturers and suppliers. Singapore continues to strengthen our business-friendly environment, innovation ecosystem and connectivity to the world to remain a critical global node for semiconductors. We are therefore glad to be chosen to host TOPPAN’s first FC-BGA substrate manufacturing facility outside Japan. This is one of Japan’s largest investments overseas in the past decade for a key component in the semiconductor supply chain. EDB remains keen to partner with semiconductor companies globally across the value chain, and we look forward to achieving future milestones with partners like Broadcom and TOPPAN.”

“As TOPPAN’s largest customer for FC-BGA substrates, we welcome the additional capacity AST brings for large body, high layer count substrates,” said Dr. Charlie Kawwas, President of Broadcom’s Semiconductor Solutions Group. “We are also delighted that this factory is getting established in Singapore with a world class talent pool, a vibrant semiconductor ecosystem and outstanding support by the Singapore EDB and government agencies.  Advanced technologies developed at AST will be strategically important for us to differentiating our next generation Networking and AI/ML products and sustaining our market leadership,” he added.

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Letter to the Editor
Do you have an opinion about this story? Do you have some thoughts you’d like to share with our readers? APMEN News would love to hear from you!

Email your letter to the Editorial Team at Christellee@epl.com.sg

The post AST Begins Constructing Singapore Facility For High-End Substrates & Advanced Technologies appeared first on Asia Pacific Metalworking Equipment News | Manufacturing | Automation | Quality Control.

The world raved about AI last year, even Jensen Huang from Nvidia famously praised the power of Artificial Intelligence (AI). He went as far as to say anyone can be a programmer with AI softwares. This was during the period where ChatGPT got into trouble in various shapes and forms— from data security breach to fabricated content by a high ranking editor.

Now, the chip titan finds itself joining the group of defendants accused of copyright infringements via OpenAI. Three authors reportedly took Nvidia to court over using their copyrighted material without permission to train its NeMo AI platform.

Brian Keene, Abdi Nazemian and Stewart O’Nan said their works were part of a dataset of about 196,640 books that helped train NeMo to simulate ordinary written language, before being taken down in October “due to reported copyright infringement.“ In a proposed class action filed in San Francisco federal court, the authors said the takedown reflects Nvidia’s having “admitted” it trained NeMo on the dataset, and thereby infringed their copyrights.

They are seeking unspecified damages for people in the United States whose copyrighted works helped train NeMo’s so-called large language models in the last three years. Among the works covered by the lawsuit are Keene’s 2008 novel “Ghost Walk,” Nazemian’s 2019 novel “Like a Love Story,” and O’Nan’s 2007 novella “Last Night at the Lobster.”

The lawsuit drags Nvidia into a growing body of litigation by writers, as well as the New York Times, over generative AI, which creates new content based on inputs such as text, images and sounds. Nvidia touts NeMo as a fast and affordable way to adopt generative AI.

Other companies sued over the technology have included OpenAI, which created the AI platform ChatGPT, and its partner Microsoft. AI’s rise has made Nvidia a favourite of investors. The Santa Clara, California-based chipmaker’s stock price has risen almost 600% since the end of 2022, giving Nvidia a market value of nearly US$2.2 trillion.

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Letter to the Editor
Do you have an opinion about this story? Do you have some thoughts you’d like to share with our readers? APMEN News would love to hear from you!

Email your letter to the Editorial Team at Christellee@epl.com.sg

The post Nvidia Finds Itself Amongst Defendants Accused Of Copyright Infringements appeared first on Asia Pacific Metalworking Equipment News | Manufacturing | Automation | Quality Control.