Science Sleuths Using Technology to Find Fakery, Plagiarism in Published Research

Part of an early model central processing unit is seen on display at the Computer History Museum on January 19, 2024 in Mountain View, California, as the museum celebrates Mac's 40th birthday. (Photo by Loren Elliott / AFP)
Part of an early model central processing unit is seen on display at the Computer History Museum on January 19, 2024 in Mountain View, California, as the museum celebrates Mac's 40th birthday. (Photo by Loren Elliott / AFP)
TT

Science Sleuths Using Technology to Find Fakery, Plagiarism in Published Research

Part of an early model central processing unit is seen on display at the Computer History Museum on January 19, 2024 in Mountain View, California, as the museum celebrates Mac's 40th birthday. (Photo by Loren Elliott / AFP)
Part of an early model central processing unit is seen on display at the Computer History Museum on January 19, 2024 in Mountain View, California, as the museum celebrates Mac's 40th birthday. (Photo by Loren Elliott / AFP)

Allegations of research fakery at a leading cancer center have turned a spotlight on scientific integrity and the amateur sleuths uncovering image manipulation in published research.
Dana-Farber Cancer Institute, a Harvard Medical School affiliate, announced Jan. 22 it's requesting retractions and corrections of scientific papers after a British blogger flagged problems in early January.
The blogger, 32-year-old Sholto David, of Pontypridd, Wales, is a scientist-sleuth who detects cut-and-paste image manipulation in published scientific papers.
He's not the only hobbyist poking through pixels. Other champions of scientific integrity are keeping researchers and science journals on their toes. They use special software, oversize computer monitors and their eagle eyes to find flipped, duplicated and stretched images, along with potential plagiarism, The Associated Press reported.
A look at the situation at Dana-Farber and the sleuths hunting sloppy errors and outright fabrications:
WHAT HAPPENED AT DANA-FARBER?
In a Jan. 2 blog post, Sholto David presented suspicious images from more than 30 published papers by four Dana-Farber scientists, including CEO Laurie Glimcher and COO William Hahn.
Many images appeared to have duplicated segments that would make the scientists' results look stronger. The papers under scrutiny involve lab research on the workings of cells. One involved samples from bone marrow from human volunteers.
The blog post included problems spotted by David and others previously exposed by sleuths on PubPeer, a site that allows anonymous comments on scientific papers.
Student journalists at The Harvard Crimson covered the story on Jan. 12, followed by reports in other news media. Sharpening the attention was the recent plagiarism investigation involving former Harvard president Claudine Gay, who resigned early this year.
HOW DID DANA-FARBER RESPOND?
Dana-Farber said it already had been looking into some of the problems before the blog post. By Jan. 22, the institution said it was in the process of requesting six retractions of published research and that another 31 papers warranted corrections.
Retractions are serious. When a journal retracts an article that usually means the research is so severely flawed that the findings are no longer reliable.
Dr. Barrett Rollins, research integrity officer at Dana-Farber, said in a statement: “Following the usual practice at Dana-Farber to review any potential data error and make corrections when warranted, the institution and its scientists already have taken prompt and decisive action in 97 percent of the cases that had been flagged by blogger Sholto David."
WHO ARE THE SLEUTHS?
California microbiologist Elisabeth Bik, 57, has been sleuthing for a decade. Based on her work, scientific journals have retracted 1,133 articles, corrected 1,017 others and printed 153 expressions of concern, according to a spreadsheet where she tracks what happens after she reports problems.
She has found doctored images of bacteria, cell cultures and western blots, a lab technique for detecting proteins.
“Science should be about finding the truth,” Bik told The Associated Press. She published an analysis in the American Society for Microbiology in 2016: Of more than 20,000 peer-reviewed papers, nearly 4% had image problems, about half where the manipulation seemed intentional.
Bik's work brings donations from Patreon subscribers of about $2,300 per month and occasional honoraria from speaking engagements. David told AP his Patreon income recently picked up to $216 per month.
Technology has made it easier to root out image manipulation and plagiarism, said New York University science educator Ivan Oransky, co-founder of the Retraction Watch blog. The sleuths download scientific papers and use software tools to help find problems.
Others doing the investigative work remain anonymous and post their findings under pseudonyms. Together, they have “changed the equation” in scientific publication, Oransky said.
“They want science to be and do better,” Oransky said. “And they are frustrated by how uninterested most people in academia — and certainly in publishing — are in correcting the record.” They're also concerned about the erosion of public trust in science. WHAT MOTIVATES MISCONDUCT?
Bik said some mistakes could be sloppy errors where images were mislabeled or “somebody just grabbed the wrong photo.”
But some images are obviously altered with sections duplicated or rotated or flipped. Scientists building their careers or seeking tenure face pressure to get published. Some may intentionally falsify data, knowing that the process of peer review — when a journal sends a manuscript to experts for comments — is unlikely to catch fakery.
“At the end of the day, the motivation is to get published,” Oransky said. “When the images don’t match the story you’re trying to tell, you beautify them.”
WHAT HAPPENS NEXT?
Scientific journals investigate errors brought to their attention but usually keep their processes confidential until they take action with a retraction or correction.
Some journals told the AP they are aware of the concerns raised by David's blog post and were looking into the matter.



Lenovo Unveils AI Agent to Bridge PCs, Phones and Wearables at CES

Attendees gather for the annual Consumer Electronics Show (CES) in Las Vegas, Nevada, on January 6, 2026. (AFP)
Attendees gather for the annual Consumer Electronics Show (CES) in Las Vegas, Nevada, on January 6, 2026. (AFP)
TT

Lenovo Unveils AI Agent to Bridge PCs, Phones and Wearables at CES

Attendees gather for the annual Consumer Electronics Show (CES) in Las Vegas, Nevada, on January 6, 2026. (AFP)
Attendees gather for the annual Consumer Electronics Show (CES) in Las Vegas, Nevada, on January 6, 2026. (AFP)

Lenovo, the world's top PC maker, unveiled its own AI assistant Tuesday at the CES tech show in Las Vegas, promising a tool that follows users seamlessly across laptops, smartphones and connected devices.

The Beijing-based company commanded 28 percent of global PC market share in the third quarter of 2025, ahead of rivals HP at 21.5 percent and Dell at 14.5 percent, according to US research firm Gartner.

Lenovo's new artificial intelligence agent, dubbed Qira, is designed as an autonomous interface capable of performing tasks rather than simply generating content on demand, a move Lenovo hopes will showcase the breadth of its product portfolio.

Unlike rivals focused on single categories, Lenovo was the only major manufacturer whose offering spanned laptops, tablets and smartphones -- under its Motorola brand, acquired in 2014 -- as well as servers and even supercomputers.

The company also unveiled prototypes of connected glasses and an AI-powered pendant, still in testing, that captures "important moments" with user consent by recording conversations, said Motorola's Angelina Gomez.

Codenamed the AI Perceptive Companion, the pendant features a microphone and camera and "sees what you see and hears what your hear," Lenovo vice president Luca Rossi told reporters.

An interaction with Qira can start via the pendant, continue on a smartphone and end on a laptop, with the agent retaining user context across devices.

It can summarize the highlights of a user's day, draft and send emails, or even select photos from archives to post on social media.

Lenovo stressed it is not positioning Qira as a rival to Microsoft's Copilot and announced the integration of Copilot into Motorola smartphones.

For major hardware makers, the challenge now is proving the utility of generative AI in everyday applications rather than simply flaunting cutting-edge tech.

Amid lingering geopolitical tensions with Washington, Lenovo was the only Chinese firm to take center stage at CES, choosing Las Vegas's futuristic Sphere venue for its showcase.

Executives emphasized the company's global footprint, with most revenue generated outside China and several top managers from overseas.


At CES, Auto and Tech Companies Transform Cars into Proactive Companions

The Afeela Prototype 2026 displayed during a Sony Honda Mobility news conference ahead of the CES tech show, Monday, Jan. 5, 2026, in Las Vegas. (AP)
The Afeela Prototype 2026 displayed during a Sony Honda Mobility news conference ahead of the CES tech show, Monday, Jan. 5, 2026, in Las Vegas. (AP)
TT

At CES, Auto and Tech Companies Transform Cars into Proactive Companions

The Afeela Prototype 2026 displayed during a Sony Honda Mobility news conference ahead of the CES tech show, Monday, Jan. 5, 2026, in Las Vegas. (AP)
The Afeela Prototype 2026 displayed during a Sony Honda Mobility news conference ahead of the CES tech show, Monday, Jan. 5, 2026, in Las Vegas. (AP)

In a vision of the near future shared at CES, a girl slides into the back seat of her parents' car and the cabin instantly comes alive. The vehicle recognizes her, knows it’s her birthday and cues up her favorite song without a word spoken.

“Think of the car as having a soul and being an extension of your family,” Sri Subramanian, Nvidia's global head of generative AI for automotive, said Tuesday.

Subramanian's example, shared with a CES audience on the show's opening day in Las Vegas, illustrates the growing sophistication of AI-powered in-cabin systems and the expanding scope of personal data that smart vehicles may collect, retain and use to shape the driving experience.

Across the show floor, the car emerged less as a machine and more as a companion as automakers and tech companies showcased vehicles that can adapt to drivers and passengers in real time — from tracking heart rates and emotions to alerting if a baby or young child is accidentally left in the car.

Bosch debuted its new AI vehicle extension that aims to turn the cabin into a “proactive companion.” Nvidia, the poster child of the AI boom, announced Alpamayo, its new vehicle AI initiative designed to help autonomous cars think through complex driving decisions. CEO Jensen Huang called it a “ChatGPT moment for physical AI.”

But experts say the push toward a more personalized driving experience is intensifying questions about how much driver data is being collected.

“The magic of AI should not just mean all privacy and security protections are off,” said Justin Brookman, director of marketplace policy at Consumer Reports.

Unlike smartphones or online platforms, cars have only recently become major repositories of personal data, Brookman said. As a result, the industry is still trying to establish the “rules of the road” for what automakers and tech companies are allowed to do with driver data.

That uncertainty is compounded by the uniquely personal nature of cars, Brookman said. Many people see their vehicles as an extension of themselves — or even their homes — which he said can make the presence of cameras, microphones and other monitoring tools feel especially invasive.

“Sometimes privacy issues are difficult for folks to internalize,” he said. “People generally feel they wish they had more privacy but also don’t necessarily know what they can do to address it.”

At the same time, Brookman said, many of these technologies offer real safety benefits for drivers and can be good for the consumer.

On the CES show floor, some of those conveniences were on display at automotive supplier Gentex’s booth, where attendees sat in a mock six-seater van in front of large screens demonstrating how closely the company’s AI-equipped sensors and cameras could monitor a driver and passengers.

“Are they sleepy? Are they drowsy? Are they not seated properly? Are they eating, talking on phones? Are they angry? You name it, we can figure out how to detect that in the cabin,” said Brian Brackenbury, director of product line management at Gentex.

Brackenbury said it's ultimately up to the car manufacturers to decide how the vehicle reacts to the data that's collected, which he said is stored in the car and deleted after the video frames, for example, have been processed. "

“One of the mantras we have at Gentex is we're not going to do it just because we can, just because the technology allows it,” Brackebury said, adding that “data privacy is really important.”


Nvidia CEO Huang Says Next Generation of Chips Is in Full Production

 Nvidia CEO Jensen Huang speaks during a Nvidia keynote address at CES 2026, an annual consumer electronics trade show, in Las Vegas, Nevada, US January 5, 2026. (Reuters)
Nvidia CEO Jensen Huang speaks during a Nvidia keynote address at CES 2026, an annual consumer electronics trade show, in Las Vegas, Nevada, US January 5, 2026. (Reuters)
TT

Nvidia CEO Huang Says Next Generation of Chips Is in Full Production

 Nvidia CEO Jensen Huang speaks during a Nvidia keynote address at CES 2026, an annual consumer electronics trade show, in Las Vegas, Nevada, US January 5, 2026. (Reuters)
Nvidia CEO Jensen Huang speaks during a Nvidia keynote address at CES 2026, an annual consumer electronics trade show, in Las Vegas, Nevada, US January 5, 2026. (Reuters)

Nvidia CEO Jensen Huang said on Monday that the company’s next generation of chips is in "full production," saying they can deliver five times the artificial-intelligence computing of the company’s previous chips when serving up chatbots and other AI apps.

In a speech at the Consumer Electronics Show in Las Vegas, the leader of the world's most valuable company revealed new details about its chips, which will arrive later this year and which Nvidia executives told Reuters are already in the company's labs being tested by AI firms, as Nvidia faces increasing competition from rivals as well as its own customers.

The Vera Rubin platform, made up of six separate Nvidia chips, is expected to debut later this year, with the flagship server containing 72 of the company’s graphics units and 36 of its new central processors.

Huang showed ‌how they can ‌be strung together into "pods" with more than 1,000 Rubin chips and said they could improve ‌the ⁠efficiency of generating ‌what are known as "tokens" - the fundamental unit of AI systems - by 10 times.

To get the new performance results, however, Huang said the Rubin chips use a proprietary kind of data that the company hopes the wider industry will adopt.

"This is how we were able to deliver such a gigantic step up in performance, even though we only have 1.6 times the number of transistors," Huang said.

While Nvidia still dominates the market for training AI models, it faces far more competition - from traditional rivals such as Advanced Micro Devices as well as customers like Alphabet's Google - in delivering the fruits of those models to hundreds of millions of users of chatbots and other technologies.

Much of ⁠Huang’s speech focused on how well the new chips would work for that task, including adding a new layer of storage technology called "context memory storage" aimed at helping chatbots ‌provide snappier responses to long questions and conversations.

Nvidia also touted a new generation ‍of networking switches with a new kind of connection called co-packaged ‍optics. The technology, which is key to linking together thousands of machines into one, competes with offerings from Broadcom and Cisco ‍Systems.

Nvidia said that CoreWeave will be among the first to have the new Vera Rubin systems and that it expects Microsoft, Oracle, Amazon and Alphabet to adopt them as well.

In other announcements, Huang highlighted new software that can help self-driving cars make decisions about which path to take - and leave a paper trail for engineers to use afterward. Nvidia showed research about software, called Alpamayo, late last year, with Huang saying on Monday it would be released more widely, along with the data used to train it so that automakers can make evaluations.

"Not only do we open-source the models, we also open-source the data that we use ⁠to train those models, because only in that way can you truly trust how the models came to be," Huang said from a stage in Las Vegas.

Last month, Nvidia scooped up talent and chip technology from startup Groq, including executives who were instrumental in helping Alphabet's Google design its own AI chips. While Google is a major Nvidia customer, its own chips have emerged as one of Nvidia's biggest threats as Google works closely with Meta Platforms and others to chip away at Nvidia's AI stronghold.

During a question-and-answer session with financial analysts after his speech, Huang said the Groq deal "won't affect our core business" but could result in new products that expand its lineup.

At the same time, Nvidia is eager to show that its latest products can outperform older chips like the H200, which US President Donald Trump has allowed to flow to China. Reuters has reported that the chip, which was the predecessor to Nvidia's current "Blackwell" chip, is in high demand in China, which has alarmed China hawks across the US political spectrum.

Huang told financial analysts after his keynote ‌that demand is strong for the H200 chips in China, and Chief Financial Officer Colette Kress said Nvidia has applied for licenses to ship the chips to China but was waiting for approvals from the US and other governments to ship them.