Ai, a female chimpanzee famous for her cognitive skills has died at 49, according to the Japanese institute where she lived. The Kyoto University's Center for the Evolutionary Origins of Human Behavior said Ai died on 9 January of old age and organ failure and that she was surrounded by staff when she died. Ai was born in western Africa and arrived at the Japanese institute in 1977. There, she became the namesake of the Ai Project, a research programme into the chimpanzee mind. Among the institute's noteable findings were the fact that Ai was able to use numbers and identify colours.

Trust in AI begins when leaders admit what they do not know, address fears, and help people adapt. Rolling out enterprise-grade AI means climbing two steep cliffs at once. And second, creating the cultural conditions where employees can maximize its value. While the technical hurdles are significant, the human element can be even more consequential; fear and ambiguity can stall momentum of even the most promising initiatives. Psychological safety--feeling free to express opinions and take calculated risks without worrying about career repercussions1--is essential for successful AI adoption. In psychologically safe workspaces, employees are empowered to challenge assumptions and raise concerns about new tools without fear of reprisal.

Rapid advances in AI are beginning to reshape national security. Destabilizing AI developments could rupture the balance of power and raise the odds of great-power conflict, while widespread proliferation of capable AI hackers and virologists would lower barriers for rogue actors to cause catastrophe. Superintelligence -- AI vastly better than humans at nearly all cognitive tasks -- is now anticipated by AI researchers. Just as nations once developed nuclear strategies to secure their survival, we now need a coherent superintelligence strategy to navigate a new period of transformative change. We introduce the concept of Mutual Assured AI Malfunction (MAIM): a deterrence regime resembling nuclear mutual assured destruction (MAD) where any state's aggressive bid for unilateral AI dominance is met with preventive sabotage by rivals. Given the relative ease of sabotaging a destabilizing AI project -- through interventions ranging from covert cyberattacks to potential kinetic strikes on datacenters -- MAIM already describes the strategic picture AI superpowers find themselves in. Alongside this, states can increase their competitiveness by bolstering their economies and militaries through AI, and they can engage in nonproliferation to rogue actors to keep weaponizable AI capabilities out of their hands. Taken together, the three-part framework of deterrence, nonproliferation, and competitiveness outlines a robust strategy to superintelligence in the years ahead.

Stay up to date on the latest AI technology advancements and learn about the challenges and opportunities AI presents now and for the future with Fox News here. This article was written by Fox News staff.

US President Donald Trump has announced a private sector investment to fund infrastructure for artificial intelligence, with the goal of outpacing rival nations in the business-critical technology. Calling it the largest AI infrastructure project in history "by far", Trump said the joint venture called Stargate will build data centres and create more than 100,000 jobs in the United States. These companies, along with other equity backers of Stargate, have committed billions of dollars for immediate investment, with the remaining investment expected to occur over the next four years. Here's what you need to know about what Trump called "a resounding declaration of confidence in America's potential": It's a joint venture between OpenAI, Oracle, SoftBank and MGX that plans to invest up to 500bn over the next four years to build up new data centres needed for the development of AI projects in the US. A first injection of 100bn will start "immediately," according to an OpenAI statement.

Yet, difficulty successfully deploying generative AI continues to hamper progress. Companies know that generative AI could transform their businesses--and that failing to adopt will leave them behind--but they are faced with hurdles during implementation. This leaves two-thirds of business leaders dissatisfied with progress on their AI deployments. And while, in Q3 2023, 79% of companies said they planned to deploy generative AI projects in the next year, only 5% reported having use cases in production in May 2024. "We're just at the beginning of figuring out how to productize AI deployment and make it cost effective," says Rowan Trollope, CEO of Redis, a maker of real-time data platforms and AI accelerators.

The owner of TikTok has sacked an intern for allegedly sabotaging an internal artificial intelligence project. ByteDance said it had dismissed the person in August after they "maliciously interfered" with the training of artificial intelligence (AI) models used in a research project. Thanks to the video-sharing app TikTok and its Chinese counterpart, Douyin, which rank among the world's most popular mobile apps, ByteDance has risen to become one of the world's most important social media companies. Like other big players in the tech sector, ByteDance has raced to embrace generative AI. Its Doubao chatbot earlier this year took over from the competitor Baidu's Ernie in the race to produce a Chinese rival to OpenAI's ChatGPT.

"The individual was an intern with the [advertising] technology team and has no experience with the AI Lab," ByteDance said in a statement. "Their social media profile and some media reports contain inaccuracies." Its commercial online operations, including its large language AI models, were unaffected by the intern's actions, the company added. ByteDance also denied reports that the incident caused more than 10m of damage by disrupting an AI training system made up of thousands of powerful graphics processing units (GPU). Aside from firing the person in August, ByteDance said it had informed the intern's university and industry bodies about the incident.

We present experiences and lessons learned from increasing data readiness of heterogeneous data for artificial intelligence projects using visual analysis methods. Increasing the data readiness level involves understanding both the data as well as the context in which it is used, which are challenges well suitable to visual analysis. For this purpose, we contribute a mapping between data readiness aspects and visual analysis techniques suitable for different data types. We use the defined mapping to increase data readiness levels in use cases involving time-varying data, including numerical, categorical, and text. In addition to the mapping, we extend the data readiness concept to better take aspects of the task and solution into account and explicitly address distribution shifts during data collection time. We report on our experiences in using the presented visual analysis techniques to aid future artificial intelligence projects in raising the data readiness level.

According to Bloomberg and The New York Times, Meta is in talks with the likes of Keegan-Michael Key, Awkwafina and Dame Judi Dench, among others, for its AI projects. The company apparently intends to incorporate their voices into a conversational generative AI-slash-digital assistant called MetaAI, which is rumored to be like Siri and Google Assistant, which could live within Facebook, Meta hardware, and all the other parts of the multimillion-dollar social network company. The actors' representatives are still negotiating for stricter limits, though SAG-AFTRA has reportedly agreed on terms with Meta. SAG-AFTRA, if you recall, fought for provisions to protect actors from the threat of job loss due to AI. Didn't Meta already do something like this? Yes. During its Connect event last year, the company also introduced a chatbot platform with 28 "characters" voiced by celebrities, including Snoop Dogg, Paris Hilton, Dwyane Wade and Kendall Jenner.