AI News Archive: June 5, 2026 — Part 16
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- MultiAge: A New Multidimensional Biomarker of Biological Age Derived from Comprehensive Phenotypic and Molecular Profiling
Background: It is an everyday observation that people of the same chronological age differ with respect to their physical and mental capacity. However, assessing these differences in biological age remains challenging. Methods: Here, we aggregate 89 age-associated variables from the Berlin Aging Study II (BASE-II, n=1,631) to generate MultiAge, a new marker of biological age that summarizes information from ten domains reflecting organ health and global biological age. We then used methylation data obtained from an Illumina MethylationEPIC array and supervised machine learning to translate MultiAge into a DNA methylation signature, MultiAgeEpi (309 CpGs), which was subsequently validated in four independent external validation cohorts (KORA FF4, KORA Age, SHIP-TREND, BiDirect, total n=4,339). MultiAgeEpi results were compared with previously published epigenetic clocks (GrimAge, DunedinPACE, SystemsAge). Results: We report that MultiAgeEpi showed similar, and in several cases, stronger associations with age-associated outcomes such as diabetes, metabolic syndrome, multimorbidity, frailty and mortality (q < 0.05) compared to the other clocks. Conclusions: MultiAge and MultiAgeEpi thus provide a comprehensive assessment of biological age through aggregation of numerous age-associated variables and the use of the high-resolution methylomics data makes transfer of this marker to other cohorts possible.
- Closing the Paediatric Gap: Adult-Trained AI Generalises Robustly to Paediatric Coeliac Disease Diagnosis
Background Coeliac disease (CD) diagnosis on duodenal biopsies is limited by interobserver variability. We have previously demonstrated pathologist-level performance with our artificial intelligence (AI) model for the histopathological diagnosis of adult CD, but not in paediatric practice. As paediatric CD screening programmes expand internationally, accurate and scalable diagnostic tools are needed. We investigated whether an AI model trained exclusively on adult whole-slide images (WSIs) can generalise to paediatric CD diagnosis across independent centres. Methods A training and validation dataset of 9,958 WSIs from 8,421 adult patients (961 CD) from five centres was used to develop an ensemble of multiple-instance learning models using features from a foundation model. Testing was performed on 708 consecutive paediatric patients (86 CD) from two centres (Edinburgh and Southampton) not included in training. Model calibration was assessed, and probability outputs were grouped into clinically interpretable categories. Findings In adult cross-validation, the AI model achieved an area under the receiver operating characteristic curve (AUC) of 98.7%, sensitivity of 84.9%, specificity of 99.0%, and negative predictive value (NPV) of 98.1%. On testing (paediatric) datasets, performance remained high (AUC 98.8%, sensitivity 80.2%, specificity 98.4%, NPV 97.3%). Restricting analysis to predictions outside the intermediate-probability range (predicted CD probability <10% or [≥]65%; 85.3% of cases) improved sensitivity to 100% and specificity to 98.7%. No misclassifications were observed among high-confidence predictions (<2% or [≥]85%; 66.0% of cases). The expected calibration error was 0.03. Performance improved significantly when biopsies from both duodenal sites (bulb [D1] and descending [D2/3]) were considered. Interpretation Our AI model, trained on adult biopsies, generalises to paediatric CD diagnosis across centres and scanner platforms. Well-calibrated probability outputs provide clinically interpretable measures of diagnostic confidence and could support safe identification of CD-negative biopsies within defined thresholds. These findings demonstrate the feasibility of applying adult-derived AI models in paediatric populations and reinforce the importance of multi-site (D1 & D2) biopsy sampling.
- Functionally Focused Evaluation: A Novel Comparative Protocol for Wearable Electroencephalography Headsets
With the emergence of electroencephalography (EEG) as a tool in the cognitive domain, new demands are being placed on the technology to keep up with functional applications, especially in the context of at-home neural monitoring. New use cases have fostered development of wearable EEG (wEEG) devices: portable, low-cost headsets used for EEG monitoring. This evolution of technology and application has not been accompanied by development in technology evaluation, often relying on function-agnostic markers to assess devices for efficacy in this new space. With current methods limited in scope, this study designed, tested and evaluated a novel functionally-focused comparative protocol for wEEG devices. Eight participants undertook a protocol for the evaluation of four established wEEG devices, assessing cognitive resolution and general usability. Compared to a well-established traditional analysis method (eyes open/eyes closed protocol), the novel design proposed here enabled the same analysis of headset resolution, while also providing additional context into user preferences and opening downstream possibilities for specific cognitive insights. Future research could enable the development of this protocol into a standardised method to ensure the performance of wEEG technology can satisfy emerging clinical needs.
- Concurrent tDCS-fMRI: Impact of the current-induced magnetic fields on the measured BOLD signal
Background: Understanding how transcranial direct current stimulation (tDCS) affects brain activity critically benefits from the use of functional magnetic resonance imaging (fMRI) to measure the related BOLD (blood-oxygenation-level-dependent) signal changes. However, the small magnetic fields induced by the stimulation currents can cause artifacts in the fMRI images that can compromise findings from concurrent tDCS-fMRI studies. Objective: To identify how the current-induced magnetic fields affect fMRI data and establish a quantitative framework for evaluating their impact on concurrent tDCS-fMRI measurements. Methods: Magnetic fields induced by currents inside the head and electrode cables were calculated for a standard motor cortex montage. Their effects on echo-planar images (EPI) were simulated based on a framework derived from MR physics first principles and validated using phantom experiments. The framework was applied to artificially induce artifacts related to the tDCS current flow in current-free fMRI time series from 5 participants. These were compared to active runs from the same participants where tDCS intensity was varied in a block design. Results: Currents in the electrode cables were the main contributors to the current flow-related artifacts in the EPI images, which occurred both locally by causing geometric distortions and remotely by affecting the dynamic update of the scanner demodulation frequency. The artificially induced fMRI activations corresponded well to those measured during real tDCS on the single-subject level for intensities of 2 mA and higher. Conclusion: The current-induced magnetic fields can cause intensity changes comparable to typical BOLD responses. Their impact on the statistical results depends on the chosen experimental design (electrode locations, cable paths, imaging parameters, fMRI paradigm). The simulation framework provides a principled approach to evaluate the impact of these artifacts during the design and data analyses of concurrent tDCS-fMRI studies.
- Tune In or Take the Stage? A Randomized Controlled Trial Comparing After-School Music and Theatre Training with Neuroimaging Outcomes for Youth
Introduction: While growing evidence suggests that music training supports child development, few long-term randomized controlled trials (RCTs) have rigorously tested these claims. Moreover, it remains unclear whether the benefits are confined to music-specific domains or extend to higher-order cognitive functions such as inhibitory control (IC), a core executive function associated with long-term outcomes in academic achievement, career success, socio-emotional health, and physical well-being. This paper presents the protocol for the Extracurricular Activity and Child Early Learning and Development (EXCEL) trial, an RCT designed to assess the feasibility of a long-term music training program focusing on the brain and behavioral correlates of IC. Methods: A total of 126 children, aged 6 to 8 years and residing in neighborhoods with limited resources in Los Angeles, were individually randomized to either a music (intervention) or theatre (active control) after-school program. Both programs were delivered over 24 months by established community arts organizations. Eligibility criteria included: average intellectual functioning, no major medical or psychiatric conditions, and MRI eligibility. Children with prior formal music training exceeding six months or severe hearing impairment were excluded. Before the intervention began, all participants completed baseline behavioral and neuroimaging assessments. The primary trial aim was to assess the effects of extended music training, relative to theatre training, on changes in measures of IC (i.e., Go/No-Go task and delayed gratification) and related neural functional activation. A secondary interim aim of the trial was to evaluate the feasibility of conducting a long-term RCT of music education in a first cohort, measured by participant retention, adherence to the program, willingness to continue at the 12-month mark, and fidelity. Progress: Recruitment, screening, baseline testing, randomization, and program enrollment began in August 2022, and after-school programming began in October 2022. The randomized interventions and all data for the first cohort (N = 42) have been collected. Intervention and active control programs for a second cohort are ongoing and will end in Fall 2026. Discussion: This paper reports the EXCEL trial protocol and provides feasibility estimates for implementing a long-term randomized controlled trial of music training in real-world, community-based settings with children. While similar neuroimaging RCTs are currently underway in Europe, the EXCEL trial is among the first in the United States to integrate longitudinal neuroimaging with arts intervention. Findings will inform the viability of scaling such programs and contribute to our understanding of how sustained music engagement may influence the development of inhibitory control circuitry in childhood.
- Cell-Type-Resolved Transcriptional Remodelling in Parkinson's Disease Substantia Nigra: An Integrated Framework Implicates NPAS3 and BNC2 Regulatory Subnetworks in Dopaminergic Neurons and Glial Subpopulations
Background: Parkinson's disease (PD) is the second most common progressive neurological disorder that is pathologically characterized by the loss of dopaminergic neurons within the substantia nigra (SN). However, disease progression probably involves coordinated changes across both neuronal and glial cell populations. Although single-nucleus RNA-seq resolved cell-type-specific transcriptional profiling, differential expression and regulatory interpretation are commonly reported separately; however, they may limit the mechanistic prioritization to uncover novel therapeutic targets. Methods: Here, we performed sample-aware pseudobulk framework analysis on single-nucleus transcriptomes obtained SN of PD and control donors. Cell-type-specific differential expression for PD vs. control was identified using edgeR quasi-likelihood modeling (FDR < 0.05; |log2FC| > 0.5). Further, to quantify disease-specific remodelling, we computed one-vs-rest cell-type specificity scores in each condition and defined delta-specificity as the PD-control shift. We further prioritized the gene-set for dopaminergic neurons and microglia based on edge R significance and delta-specificity shifts, followed by upstream regulatory assessment using transcription factor enrichment and subnetwork visualization using ChEA-KG. Moreover, we used Cellchat to identify altered cell-cell communication networks to infer differences between both conditions. Results: Dopaminergic neurons demonstrated upregulation of neuronal-state remodeling transcriptional programs related gene sets in PD group, including receptor signaling and contact/guidance pathways (e.g., CHRM3, ROBO1, PLXNA4, UNC5D, EFNA5), neuronal excitability homeostatsis, RNA components, cellular traffickings and proteostasis, suggesting coordinated remodeling in surviving neuronal population. Microglia exhibited a compact PD-associated signature enriched for regulatory and activation state-related genes. TF networks analysis revealed distinct regulatory subnetwork in each population,including BNC2-centered network in microglia and an NPAS3-centered network in dopaminergic neurons with embedded ZNF804A and chromatin-associated components. Conclusions: In summary, integrating pseudobulk, delta-specificity scoring and TF-network enrichment analysis provides coherent dopaminergic and microglial programs in PD substantia nigra. This framework prioritizes cell-type-specific potential candidate mechanisms for downstream validation. The inferred regulatory networks and interactions are hypothesis generating and need orthogonal validation, such as spatial or proteomics approaches and independent cohorts.
- Effects of a 5-week heart rate biofeedback randomized intervention on texture in the Alzheimer's Disease signature cortical region
Using data from a randomized clinical trial, we examined whether daily biofeedback training that modulates heart rate oscillations is associated with changes in microstructural brain texture in Alzheimer's disease signature cortical (ADSC) and hippocampal regions. Younger and older adults were randomly assigned to one of two daily biofeedback practices for five weeks: slow-paced breathing designed to increase heart rate oscillations (Osc+) or self-selected strategies aimed at decreasing oscillations (Osc-). Intervention effects were observed in both ADSC and hippocampus regions and were confined to a composite texture factor dominated by uniformity and entropy. Across regions, effects were expressed primarily as Time x Condition interactions, indicating differential texture trajectories between Osc+ and Osc-. In the hippocampus, this pattern was further qualified by a Time x Condition x Age Group interaction, reflecting more pronounced effects in older adults, whereas younger adults showed no reliable texture modulation. Partial least squares correlation analyses further demonstrated that training-related texture changes in the left hippocampus, right fusiform gyrus, and right entorhinal cortex covaried with concurrent changes in plasma AD-related biomarkers, with tau- and p-tau related measures contributing most strongly to the multivariate association. Together, these findings suggest that HRV biofeedback may selectively influence specific dimensions of brain microstructural texture and that such changes are meaningfully coupled with plasma AD-related biomarker profiles.
- Singular Value Decomposition-Based Coil Combination Improves the Accuracy and Noise-Robustness of Quantitative Susceptibility Maps
Most high-field MRI scanners conduct imaging using phased-array coils, in which the signals received by an array of coil elements are combined for downstream processing. Optimally combining these signals requires knowledge of each coil's spatial sensitivity profile, which can be acquired from a volume coil with homogeneous sensitivity across the field-of-view. However, this approach is not often used on high-field MRI scanners, especially on non-clinical systems; therefore, this work uses an algorithm based on the singular-value decomposition (SVD), called SVD-B1, to estimate coil sensitivities directly from the array data itself. Images produced by SVD-B1 are devoid of wormhole artifacts and open-ended fringe lines commonly seen in more conventional reconstructions. Quantitative Susceptibility Maps (QSMs) produced using the algorithm were compared to those produced using other combination algorithms across clinically relevant regions of in-vivo and postmortem human brains. As progressive levels of simulated noise were added to the data, SVD-B1's QSMs were up to 3% (in-vivo) and 13% (postmortem) more consistent (as measured by their Intraclass Correlation Coefficient) than those from other algorithms. Additionally, these QSMs were up to 8.5% (in-vivo) and 36% (postmortem) more accurate than other QSMs with respect to a "single-coil" reference. A parallel imaging extension of SVD-B1, called SVD-B1 GRAPPA, achieved similar results for QSMs generated from progressively more accelerated acquisition data. These results show that SVD-B1 can improve the sensitivity of high-resolution QSM to subtle changes in fine-grained tissue structures (e.g., in neurodegenerative disease) and help reduce scan times in clinical settings where shorter scans are imperative.
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- National Security Presidential Memorandum/NSPM-11
MEMORANDUM FOR THE SECRETARY OF STATE THE SECRETARY OF THE TREASURY THE SECRETARY OF WAR THE ATTORNEY GENERAL THE SECRETARY OF ENERGY THE SECRETARY OF HOMELAND SECURITY THE DIRECTOR OF THE OFFICE OF MANAGEMENT AND BUDGET THE DIRECTOR OF NATIONAL INTELLIGENCE THE DIRECTOR OF THE CENTRAL INTELLIGENCE AGENCY THE ASSISTANT TO THE PRESIDENT FOR NATIONAL SECURITY […] The post National Security Presidential Memorandum/NSPM-11 appeared first on The White House .
- Trump to meet AI leaders to discuss US investment in their companies
The US president said on Friday he expects to meet the leaders of top AI companies next week.
- Google will pay SpaceX $920M per month for compute
In a statement, a Google representative described the deal as a result of unexpected demand for its recently launched AI products.
- Google Agrees to Pay SpaceX $920 Million Monthly for Compute Access
Google Agrees to Pay SpaceX $920 Million Monthly for Compute Access The Information
- Google to pay SpaceX $920m per month for cloud computing
SpaceX has signed a blockbuster cloud computing agreement under which Google will pay the Elon Musk-founded rocket company $920 million per month for access to a massive cluster of AI chips, according to a disclosure in its initial public offering filing.
- NSA said to be readying Anthropic’s Mythos for use in cyber operations
The U.S. eavesdropping agency is reportedly preparing Anthropic's Mythos for use in cyberattacks, despite a federal ban on using the AI model maker.
- US National Security Agency reportedly using Mythos for hacking
Anthropic’s AI model Mythos has not been publicly released because of its powerful abilities to detect and exploit software vulnerabilities.
- Anthropic's Mythos model is reportedly powering NSA offensive cyber ops against China and Iran
Anthropic has reportedly stationed about half a dozen engineers directly at the NSA to adapt its Mythos AI model for offensive cyber operations. The model could be used to break into networks in China or Iran. That fits Anthropic's broader stance: the company's promises around restricting AI use, for mass surveillance, for example, explicitly apply only to US citizens. The article Anthropic's Mythos model is reportedly powering NSA offensive cyber ops against China and Iran appeared first on The Decoder .
- Anthropic warns AI may soon begin recursive self-improvement
The maker of Claude wants AI labs, including itself, to prepare for a coordinated slowdown if models begin building their own successors
- Blackstone, CPPIB-backed AirTrunk to invest over $30 bn in India's data centres by 2030
Hyperscale data centre operator AirTrunk has announced plans to invest over $30 billion in India by 2030, making it one of the country's largest-ever digital infrastructure commitments. The pledge follows the company's April acquisition of Lumina CloudInfra.
- Blackstone-backed Australian company AirTrunk to invest $30 billion for 5 GW digital infrastructure in India—All we know
Blackstone-backed, Australian data centre company AirTrunk plans to invest over $30 billion (more than ₹3,000 billion) to develop over 5 GW of digital infrastructure capacity in India by 2030, the company said.
- AirTrunk To Invest $30 Bn In India To Set Up 5 GW Data Centre
Global hyperscale data company AirTrunk plans to invest $30 Bn (nearly ₹3 Lakh Cr) to develop over 5 GW of…
- AirTrunk unveils $30bn India data centre push
AirTrunk unveils $30bn India data centre push
- AI readiness must reach real work, not just training rooms
The AI talent gap is usually described as a skills gap. I think that is only partly right. The deeper gap is between people who are learning AI as a real way to change work, and people who are only being taught AI as a course, a tool, or a slogan. That difference matters. Some […] The post AI readiness must reach real work, not just training rooms appeared first on e27 .
- The Download: AI hacking beyond Mythos, and chatbots’ impact on our brains
This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. The Meta hack shows there’s more to AI security than Mythos On Monday, reports emerged that attackers had used Meta’s AI customer support agent to steal Instagram accounts. Their approach was…
- Meta weighs big equity raising to finance AI infrastructure, FT reports
Meta weighs big equity raising to finance AI infrastructure, FT reports Reuters
- Meta weighs big equity raising after blockbuster Google deal
Facebook parent could sell tens of billions of dollars in new stock as it seeks to finance AI infrastructure
- Meta reportedly considering massive equity raising to finance AI infrastructure
Social media giant seeks to raise tens of billions in stock offering after Alphabet moved to raise $84.75-billion
- Elon Musk's SpaceX signs pre-IPO deal to provide AI computing to Google
Elon Musk's SpaceX signs pre-IPO deal to provide AI computing to Google Gulf News
- SpaceX Signs Pre-IPO Deal To Provide AI Computing To Google
SpaceX Signs Pre-IPO Deal To Provide AI Computing To Google Barron's
- Blacklisted AI company Anthropic, White House ease tensions ahead of IPO: Reports
Blacklisted AI company Anthropic, White House ease tensions ahead of IPO: Reports
- Foxconn, Intel partner to develop next-generation AI infrastructure
Taiwan’s Foxconn, formally known as Hon Hai Precision Industry, said on Thursday it would partner with US chipmaker Intel to develop and deploy next-generation AI infrastructure and intelligent computing platforms, seeking to tap surging global demand for AI computing systems. The companies said the partnership would combine Intel’s semiconductor technology with Foxconn’s manufacturing and system […]
- South Korea labour minister calls on tech firms to share excess AI profits with suppliers, staff
In an interview, Kim Young-hoon told Reuters that companies like Samsung Electronics that outperform profit targets should consider sharing excess gains with suppliers, subcontractors and their workers, after deducting taxes, given their contributions to corporate growth.
- Japan could end up an ’AI colony’ if it falls behind, digital minister warns
Japan could end up an ’AI colony’ if it falls behind, digital minister warns The Japan Times
- US officials eye government stakes in AI companies, NOTUS reports
US officials eye government stakes in AI companies, NOTUS reports Reuters
- U.S. Officials Discuss Taking Financial Stakes in AI Industry
The talks have been with artificial-intelligence leaders such as OpenAI CEO Sam Altman, who pitched the idea.
- Trump Targets Meeting With AI Companies to Discuss Financial Partnerships
Trump Targets Meeting With AI Companies to Discuss Financial Partnerships The Information
- Trump says US may take equity stakes in AI companies
President suggests ‘partnership’ will ease voter concerns about the technology ahead of November’s midterm elections
- US officials eye government stakes in AI companies, NOTUS reports
While the planning is ongoing and details are in flux, discussions have centered on having the firms voluntarily cede the shares to the government, the report said.
- Trump explores federal government acquiring shares in AI companies
Trump explores federal government acquiring shares in AI companies USA Today
- Nvidia CEO Jensen Huang says robotics is South Korea's next big sector, points to 'some suprises'
He was talking to reporters after arriving at Gimpo airport in South Korea on a flight from Taiwan.He was talking to reporters after arriving at Gimpo airport in South Korea on a flight from Taiwan.
- Nvidia CEO says robotics is South Korea’s next big sector, points to ‘some suprises’
Nvidia CEO says robotics is South Korea’s next big sector, points to ‘some suprises’
- Nvidia CEO arrives in Seoul with physical AI, gamer meetups and pork belly on the menu
Nvidia CEO Jensen Huang speaks to reporters after his arrival at Gimpo International Airport in western Seoul on June 5. [PARK YOUNG-WOO] Nvidia CEO Jensen Huang arrived in Seoul on Friday afternoon bearing what he described as “a lot of business” for Korea in his much-anticipated return to the country after just seven months. Huang landed at Gimpo International Airport on a chartered flight at around 1:20 p.m. Related Article Nvidia CEO Jensen Huang to arrive Friday for 4-day trip in Korea Nvidia CEO Jensen Huang to throw first pitch at Doosan Bears game 'Jensen Huang effect' has some investors tracking itinerary, fattening pork-related holdings His arrival came seven months after he took part in a surprise yet casual gathering with Samsung Electronics Executive Chairman Lee Jae-yong and Hyundai Motor Group Executive Chair Euisun Chung at a chicken joint in southern Seoul in October of last year. “I am back [in Korea because] I want to thank all of [our] partners and customers,” Huang told reporters at the airport. “We had a very big year last year, and the Korean market is doing well,” Huang added. “We are doing a lot of very important work, as you know, AI build-out is accelerating.” While noting that he is “happy” about the recent strong performance of the Korean market, the Nvidia CEO added that the second half of the year will be significantly stronger than the first, and that next year will be even bigger. “I want to make sure that our partners are aligned and prepared,” Huang said. “We have a lot of work to do.” When asked whether he had brought gifts this time, Huang replied that he “brought a lot of business for Korea.” Nvidia CEO Jensen Huang arrives at Gimpo International Airport in western Seoul on June 5. [AP/YONHAP] “I have some surprises. But I cannot tell you. Otherwise, it would not be a surprise,” Huang added. He also noted that he is going to meet with representatives and executives from Hyundai, LG, SK, Samsung and Naver during his visit. Huang said he “loves Korean barbecue” as well as Korean fried chicken and samgyetang , adding all the dishes are “delicious.” His remarks seemingly gave a nod to his plans to have grilled samgyeopsal (pork belly) and soju for dinner with Korean business leaders in the Hongdae neighborhood in western Seoul. The attendees are rumored to include SK Group Chairman Chey Tae-won, LG Group Chairman Koo Kwang-mo and Naver Chairman Lee Hae-jin. Hyundai Motor Group Executive Chair Chung will reportedly skip Friday’s dinner because of a scheduling conflict. Instead, Chung is likely to personally welcome Huang at the automaker’s headquarters in southern Seoul’s Yangjae-dong district on Monday. After leaving the airport, Huang was expected to head to his first official stop in Korea: the base camp of professional gaming team T1, at a PC bang (gaming cafe) in Donggyo-dong in Mapo District, western Seoul. Huang, who has frequently expressed strong interest in Korea’s gaming culture and esports landscape, is scheduled to meet T1 captain Lee Sang-hyeok, better known as Faker, the League of Legends champion. Faker became the first esports athlete to receive the Cheongnyong Medal, the highest class of the Order of Sports Merit. Nvidia CEO Jensen Huang signs autographs at Gimpo International Airport in western Seoul on June 5. [AP/YONHAP] Industry observers expect the dinner gathering will cover potential collaboration in the fields of high bandwidth memory (HBM), AI data centers, autonomous driving, robotics and physical AI, all of which are sectors involving Nvidia and Korean companies. During his stay, Huang is also expected to meet with academic researchers and startup entrepreneurs to discuss cooperation. His itinerary is also expected to include an appearance on tvN’s talk show “You Quiz on the Block” (2018–) and tossing the ceremonial first pitch at a Doosan Bears home game at Jamsil Baseball Stadium in Seoul. Huang is expected to leave Korea either late Monday or Tuesday morning after completing his schedule in Korea. This article was originally written in Korean and translated by a bilingual reporter with the help of generative AI tools. It was then edited by a native English-speaking editor. All AI-assisted translations are reviewed and refined by our newsroom. BY JANG GU-SEUL [lee.soojung1@joongang.co.kr]
- Nvidia CEO Jensen Huang embarks on packed Seoul visit focused on AI, robotics
Nvidia founder and CEO Jensen Huang is set to touch down in Seoul on Friday afternoon, kicking off a four-day trip focused on deepening ties with South Korea’s tech, manufacturing and AI industries. The highly anticipated visit will be Huang’s longest stay here in recent years and comes as Nvidia seeks to expand its partnership beyond semiconductors into emerging areas such as robotics, physical AI and AI infrastructure. Huang last visited Korea seven months ago for the APEC summit, where he mad
- Nvidia CEO Jensen Huang says robotics is South Korea’s next big sector, points to ‘some surprises’
Nvidia CEO Jensen Huang says robotics is South Korea’s next big sector, points to ‘some surprises’ The Straits Times
- Nvidia CEO Jensen Huang says robotics is South Korea’s next big sector, points to ‘some suprises’
Nvidia CEO Jensen Huang says robotics is South Korea’s next big sector, points to ‘some suprises’ The Straits Times
- WWDC Is Apple’s Second Chance to Solve AI. The Pressure Is On.
WWDC Is Apple’s Second Chance to Solve AI. The Pressure Is On. Barron's
- SoftBank's Masayoshi Son says AI is already designing OpenAI's next model
The SoftBank CEO told CNBC that superintelligence is arriving within two years, sooner than his earlier public forecast
- South Korea stocks fall over 5% as tech heavyweights follow plunge in Wall Street's AI-linked names
Asia-Pacific markets fell on Friday as investors assessed a rotation out of chip stocks on Wall Street that lifted the Dow Jones Industrial Average to a record close.