John Ternus ascends the throne - but Cook will stay on to manage tech giant's foreign policy as executive chair Tim Cook becomes Apple's elder statesman Apple announced late on Monday that Tim Cook will step down as CEO but will not leave the iPhone maker. Head of hardware engineering John Ternus will succeed him on 1 September. "I love Apple with all of my being," Cook said in a press release announcing his succession. Cook, 65, who succeeded Apple co-founder Steve Jobs, has been CEO since 2011. With a reputation for operational and supply chain management, he has overseen the global expansion of the company and its steady series of new, updated devices, though he never attained the same visionary status as Jobs.

Japanet is expanding its venture capital fund with Pegasus Tech Ventures, after early investments in firms like SpaceX, OpenAI, Anthropic and xAI showed strong growth. Japanese home shopping company Japanet is expanding its venture capital fund with San Jose-based Pegasus Tech Ventures, following the success of early bets in SpaceX, OpenAI, Anthropic and xAI. The Nagasaki-based retailer known for infomercials targeting seniors in aging Japan will allocate $200 million to the fund, up from an initial $50 million in 2021, following significant growth" in investments so far, the companies said in a statement. The fund, of which Pegasus is general partner, will focus on areas such as generative AI, robotics and space technology. Its Japan portfolio includes startup Aillis, which seeks to use artificial intelligence to analyze medical scans. Asian companies have struggled to win stakes in promising startups in Silicon Valley, hampered by a lack of personal connections and reputation for slow decision-making. Pegasus also manages startup investments on behalf of Toyota Motor-affiliate Aisin, Japanese chemical maker Denka, Taiwan's Asustek Computer and Acer and Indonesia's pharma company Kalbe Farma. Everybody wants a piece of the Silicon Valley AI action," Pegasus Chief Executive Officer Anis Uzzaman said on a video call.

Attendees at the Canton Fair in Guangzhou, China, take pictures of various service robots on display. At the world's largest trade show, it's not just the clientele that had a different look this year. Despite the near absence of buyers wearing a traditional Arab headdress and robe at the Canton Fair, a vast showcase that started last week in China's southern metropolis of Guangzhou, a brash new generation of tech companies stood out just as much. Few wanted to dwell on the war. Even as the conflict in the Middle East once more fractures global commerce, interviews with more than a dozen exporters at the fair found many were already eager to look beyond the hostilities blamed for the worst energy disruption in generations.

Anthropic was founded in 2021 by several former employees of OpenAI. Amazon is investing an additional $5 billion in Anthropic, and may inject $20 billion more over time, a deal that deepens the companies' ties in an increasingly competitive artificial intelligence industry. Anthropic, which makes the Claude chatbot and coding tool, plans to spend more than $100 billion over the next 10 years on Amazon's cloud technologies and chips, the companies said in a statement on Monday. Amazon shares gained about 3% on the news in extended trading. Amazon was already one of Anthropic's biggest backers, with prior investments totaling $8 billion.

A TV screen shows the artist database on Nadou Pro, iQIYI's artificial intelligence product for professional film and television production, during the iQIYI World Conference in Beijing on Monday. Beijing - China's equivalent of Netflix, iQIYI, faced backlash on Monday over a new initiative that facilitates the use of actors' likenesses in artificially generated dramas and films. More than 100 celebrities have joined a platform to connect with makers of AI-generated content interested in using their image, a senior executive told a conference in Beijing. China's entertainment industry has rapidly embraced the use of artificial intelligence, with AI-generated films and shows a common feature on video platforms. In a time of both misinformation and too much information, quality journalism is more crucial than ever.

Outside of Japan, Google's chatbot is accessible on both desktop and iOS. Google has added a new sidebar to Chrome that allows users to access Gemini from any of their tabs. After debuting in the US, Gemini in Chrome is making its way to more markets. Starting today, Google is rolling out Chrome's built-in chatbot to users in Asia and the Pacific, including Australia, Indonesia, Japan, the Philippines, Singapore, South Korea and Vietnam. The expansion comes after Google earlier this year made Gemini in Chrome available to people in Canada, India and New Zealand .

The USS Cassin Young is one of the last of the war's Fletcher-class destroyers. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. The USS Cassin Young is one of four remaining Fletcher-class destroyers still afloat. Breakthroughs, discoveries, and DIY tips sent six days a week. Although its name may not sound immediately familiar, the over 360-foot-long ship's recognizable silhouette remains a hallmark example of World War II imagery.

We study high-dimensional mediation analysis in which exposures, mediators, and outcomes are all multivariate, and both exposures and mediators may be high-dimensional. We formalize this as a many (exposures)-to-many (mediators)-to-many (outcomes) (MMM) mediation analysis problem. Methodologically, MMM mediation analysis simultaneously performs variable selection for high-dimensional exposures and mediators, estimates the indirect effect matrix (i.e., the coefficient matrices linking exposure-to-mediator and mediator-to-outcome pathways), and enables prediction of multivariate outcomes. Theoretically, we show that the estimated indirect effect matrices are consistent and element-wise asymptotically normal, and we derive error bounds for the estimators. To evaluate the efficacy of the MMM mediation framework, we first investigate its finite-sample performance, including convergence properties, the behavior of the asymptotic approximations, and robustness to noise, via simulation studies. We then apply MMM mediation analysis to data from the Alzheimer's Disease Neuroimaging Initiative to study how cortical thickness of 202 brain regions may mediate the effects of 688 genome-wide significant single nucleotide polymorphisms (SNPs) (selected from approximately 1.5 million SNPs) on eleven cognitive-behavioral and diagnostic outcomes. The MMM mediation framework identifies biologically interpretable, many-to-many-to-many genetic-neural-cognitive pathways and improves downstream out-of-sample classification and prediction performance. Taken together, our results demonstrate the potential of MMM mediation analysis and highlight the value of statistical methodology for investigating complex, high-dimensional multi-layer pathways in science. The MMM package is available at https://github.com/THELabTop/MMM-Mediation.

Online health communities (OHCs) are vital for fostering peer support and improving health outcomes. Support groups within these platforms can provide more personalized and cohesive peer support, yet traditional support group formation methods face challenges related to scalability, static categorization, and insufficient personalization. To overcome these limitations, we propose two novel machine learning models for automated support group formation: the Group specific Dirichlet Multinomial Regression (gDMR) and the Group specific Structured Topic Model (gSTM). These models integrate user generated textual content, demographic profiles, and interaction data represented through node embeddings derived from user networks to systematically automate personalized, semantically coherent support group formation. We evaluate the models on a large scale dataset from MedHelp, comprising over 2 million user posts. Both models substantially outperform baseline methods including LDA, DMR, and STM in predictive accuracy (held out log likelihood), semantic coherence (UMass metric), and internal group consistency. The gDMR model yields group covariates that facilitate practical implementation by leveraging relational patterns from network structures and demographic data. In contrast, gSTM emphasizes sparsity constraints to generate more distinct and thematically specific groups. Qualitative analysis further validates the alignment between model generated groups and manually coded themes, showing the practical relevance of the models in informing groups that address diverse health concerns such as chronic illness management, diagnostic uncertainty, and mental health. By reducing reliance on manual curation, these frameworks provide scalable solutions that enhance peer interactions within OHCs, with implications for patient engagement, community resilience, and health outcomes.

In its early days, the AI initiative known as Project Maven had its fair share of skeptics at the Pentagon. Today, many of them are true believers. The rise of AI warfare speaks to the biggest moral and practical question there is: Who--or what--gets to decide to take a human life? And who bears that cost? In 2018, more than 3,000 Google workers protested the company's involvement in "the business of war" after finding out the company was part of Project Maven, then a nascent Pentagon effort to use computer vision to rifle through copious video footage taken in America's overseas drone wars. They feared Project Maven's AI could one day be used for lethal targeting. In my yearslong effort to uncover the full story of Project Maven for my book,, I learned that is exactly what happened, and that the undertaking was just as controversial inside the Pentagon. Today, the tool known as Maven Smart System is being used in US operations against Iran . How the US military's top brass moved from skepticism about the use of AI in war to true believers has a lot to do with a Marine colonel named Drew Cukor. In early September 2024, during the cocktail hour at a private retreat for tech investors and defense leaders, Vice Admiral Frank "Trey" Whitworth found his way to Drew Cukor. Now Project Maven's founding leader and his skeptical successor were standing face-to-face. Three years earlier, Whitworth had been the Pentagon's top military official for intelligence, advising the chairman of the Joint Chiefs of Staff and running one of the most sensitive and potentially lethal parts of any military process: targeting.