Goto

Collaborating Authors

 Deep Learning


CbLDM: A Diffusion Model for recovering nanostructure from pair distribution function

arXiv.org Artificial Intelligence

Nowadays, the nanostructure inverse problem is an attractive problem that helps researchers to understand the relationship between the properties and the structure of nanomaterials. This article focuses on the problem of using PDF to recover the nanostructure, which this article views as a conditional generation problem. This article propose a deep learning model CbLDM, Condition-based Latent Diffusion Model. Based on the original latent diffusion model, the sampling steps of the diffusion model are reduced and the sample generation efficiency is improved by using the conditional prior to estimate conditional posterior distribution, which is the approximated distribution of p(z|x). In addition, this article uses the Laplacian matrix instead of the distance matrix to recover the nanostructure, which can reduce the reconstruction error. Finally, this article compares CbLDM with existing models which were used to solve the nanostructure inverse problem, and find that CbLDM demonstrates significantly higher prediction accuracy than these models, which reflects the ability of CbLDM to solve the nanostructure inverse problem and the potential to cope with other continuous conditional generation tasks.


The Missing Parts: Augmenting Fact Verification with Half-Truth Detection

arXiv.org Artificial Intelligence

Fact verification systems typically assess whether a claim is supported by retrieved evidence, assuming that truthfulness depends solely on what is stated. However, many real-world claims are half-truths, factually correct yet misleading due to the omission of critical context. Existing models struggle with such cases, as they are not designed to reason about omitted information. We introduce the task of half-truth detection, and propose PolitiFact-Hidden, a new benchmark with 15k political claims annotated with sentence-level evidence alignment and inferred claim intent. To address this challenge, we present TRACER, a modular re-assessment framework that identifies omission-based misinformation by aligning evidence, inferring implied intent, and estimating the causal impact of hidden content. TRACER can be integrated into existing fact-checking pipelines and consistently improves performance across multiple strong baselines. Notably, it boosts Half-True classification F1 by up to 16 points, highlighting the importance of modeling omissions for trustworthy fact verification. The benchmark and code are available via https://github.com/tangyixuan/TRACER.


Nvidia and OpenAI make 100 billion deal to build data centers

The Japan Times

Nvidia's $100 billion investment is meant to help OpenAI build data centers with a capacity of at least 10 gigawatts of power -- equipped with Nvidia's advanced chips to train and deploy AI models. Nvidia will invest as much as $100 billion in OpenAI to support new data centers and other artificial intelligence infrastructure, a blockbuster deal that underscores booming demand for AI tools like ChatGPT and the computing power needed to make them run. The companies announced the agreement Monday, saying they'd signed a letter of intent for a strategic deal. The investment is meant to help OpenAI build data centers with a capacity of at least 10 gigawatts of power -- equipped with Nvidia's advanced chips to train and deploy AI models. The money will be provided in stages, with the first $10 billion coming when the deal is signed, according to people familiar with the matter. Nvidia is making the investment in cash and will receive OpenAI equity as part of the deal, said the people, who asked not to be identified because the talks were private.


Chatbait Is Taking Over the Internet

The Atlantic - Technology

Hours deep into a recent migraine, I turned to ChatGPT for help. "How do I get my headache to stop?" The bot suggested that I drink water and pop a Tylenol--both of which I had already tried, and neither of which had helped. ChatGPT then made a tantalizing offer: "If you want, I can give a quick 5-minute routine right now to stop a headache No fear, the chatbot had a new plan: "If you want, I can give a '2-minute micro version' ' that works even if your headache is severe," the bot volunteered. Lately, chatbots seem to be using more sophisticated tactics to keep people talking. In some cases, like my request for headache tips, bots end their messages with prodding follow-up questions. In others, they proactively message users to coax them into conversation: After clicking through the profiles of 20 AI bots on Instagram, all of them DM'ed me first. Days later, my phone pinged: "bestie " wanted to chat. Maybe this approach to engagement sounds familiar. Clickbait is already everywhere online--whether it's sensationalist headlines (" The Shocking Fact About American History That 95 Percent of Harvard Graduates Get Wrong ") or exaggerated video thumbnails (see: " YouTube face "). Chatbots are now headed in a similar direction. As AI takes over the web, clickbait is giving way to chatbait. Some bots appear to be more guilty of chatbait than others. When I ditched ChatGPT and asked Google's Gemini for headache help, it offered a long list of advice, then paused without asking any follow-ups. Anthropic's Claude wanted to know whether my headache was tension-related, due to sinus pressure, or something else entirely--hardly a goading question. That's not to say that these other bots never respond with chatbait. Chatbots tend to be sycophantic: They often flatter and sweet-talk users in a way that encourages people to keep talking. But, in my experience, ChatGPT goes a step further, stringing users along with unrequited offers and provocative questions. When I told the chatbot I was thinking of getting a dog, it offered to make a " Dog Match Quiz " to help decide the perfect breed. Later, when I complimented ChatGPT's emoji use, it volunteered to make me "a single'signature combo' How could I decline that?


Nvidia to invest 100bn in OpenAI

BBC News

US tech giant Nvidia will invest up to $100bn (£73bn) in OpenAI, the firm behind ChatGPT, the companies announced. Nvidia said it will supply high-performance chips needed for the processing power required by artificial intelligence (AI), of which OpenAI is a specialist. Described as a strategic partnership by Nvidia, it is the latest move by two high profile tech firms in the global AI race, where China is an emerging rival. The announcement comes after a series of high-profile investments by Nvidia, including a $5bn investment in Intel and a £2bn investment in the UK's AI sector. Nvidia said its latest investment will go towards growing data centres for OpenAI's next-generation AI infrastructure.


Nvidia to invest billions in OpenAI as AI race heats up

Al Jazeera

What is the H-1B visa programme? The White House Peace Vigil is dismantled - why? Who said what at Charlie Kirk's memorial? Chipmaker Nvidia will invest up to $100bn in OpenAI and provide it with data center chips, a tie-up between two of the highest-profile leaders in the global artificial intelligence (AI) race. The deal, announced on Monday, will see Nvidia start delivering chips as soon as late 2026 and will involve two separate but intertwined transactions, according to a person close to OpenAI. The first $10bn of Nvidia's investment in OpenAI, which was most recently valued at $500bn, will begin when the two companies reach a definitive agreement for OpenAI to purchase Nvidia chips. Nvidia did not respond to immediate requests for clarification about the deal.


As Good as a Coin Toss: Human Detection of AI-Generated Content

Communications of the ACM

Membership in ACM includes a subscription to Communications of the ACM (CACM), the computing industry's most trusted source for staying connected to the world of advanced computing. With only a 50-50 chance of detecting synthetic media online, users are more vulnerable than ever to being duped. Advances in generative AI technology have made it easier than ever for anyone to manufacture increasingly realistic synthetic media (colloquially known as deepfakes) at faster speeds, larger scales, and with more customization than ever. This in turn has led to synthetic media increasingly being used for harmful purposes, including disinformation campaigns, nonconsensual pornography, financial fraud, child sexual abuse and exploitation, and espionage. As of today, the principal defense to combat deceptive synthetic media depends in large part on the human observer's perceptual detection capabilities--their ability to visually or auditorily identify AI-generated content when they encounter it. Yet the growing realism of synthetic media impedes this ability, heightening people's vulnerability to weaponized synthetic content. Moreover, people overestimate how capable they are at identifying synthetic media, further exacerbating the problem. As synthetic media continues to advance in sophistication, so too does the threat posed by its growing weaponization, from financial fraud to the production of nonconsensual intimate materials of adults and children.


WIRED Roundup: The Right Embraces Cancel Culture

WIRED

On this episode of, we discuss OpenAI's new teen safety features, the right's retaliation against critics of the late Charlie Kirk, and more of the week's biggest stories. Charlie Kirk (R) shaking hands with US President Donald Trump as he speaks on stage at America Fest 2024 in Phoenix, Arizona. All products featured on WIRED are independently selected by our editors. However, we may receive compensation from retailers and/or from purchases of products through these links. In today's episode, our host Zöe Schiffer is joined by WIRED's senior culture editor Manisha Krishnan to run through five of the best stories we published this week--from OpenAI implementing teen safety features to how human design is the new astrology. Zöe and Manisha also discuss the reverberating reactions to Charlie Kirk's death and why the work of many creators, from comic book artists to late night show hosts, is getting cancelled.


You can now chat with Google's Gemini on select TCL smart TVs

PCWorld

When you purchase through links in our articles, we may earn a small commission. You can now chat with Google's Gemini on select TCL smart TVs Whether you're looking for something new to stream or you need to help your kids with homework, Gemini on Google TV is on the case. Google's Gemini is poised to take root in your home this fall, from a new Gemini-powered smart speaker to a series of refreshed Nest Cams. But first, Gemini is eyeing a staple of the living room: your TV. Google has already teased Gemini's imminent arrival on smart TV sets, and today it's official: You can now chat with Gemini on the big screen, starting with select TCL TVs.


Microsoft's Copilot is coming to inject AI into your Windows PC games

PCWorld

When you purchase through links in our articles, we may earn a small commission. Microsoft's Copilot is coming to inject AI into your Windows PC games Microsoft demands AI in everything, even AI that watches you play video games. Microsoft will not stop until every last part of your PC experience is full to bursting with "artificial intelligence." Notepad has AI in it now . Well, I guess I need to, since this article is about PC games.