AI News Archive: May 10, 2026 — Part 4
Sourced from 500+ daily AI sources, scored by relevance.
- Giants scouts are mastering NIL era with touchpoints, AI, and adaptation
Giants scouts are mastering NIL era with touchpoints, AI, and adaptation Giants Wire
- Custom Home Builder in Fredericksburg Texas Leverage Proprietary AI Custom Streamlining Design
Custom Home Builder in Fredericksburg Texas Leverage Proprietary AI Custom Streamlining Design The Arizona Republic
- Students receive $10,000 prizes from OpenAI for innovative use of artificial intelligence
When University of Pennsylvania student Crystal Yang was in high school, she and her friends were avid players of the trendy online game Wordle . One of Yang’s friends, however, is blind and was unable to join in. That inspired Yang, while still a high school student, to work with researchers at Texas A&M University looking at conversational audio interface possibilities for the game . Soon, she founded a nonprofit called Audemy that has developed more than 50 audio-powered games accessible to blind and visually impaired players. The organization is now also at work on an accessible gaming console that will incorporate audio and tactile features and can function without Wi-Fi. AI has been important to much of Yang’s work, from coding to management. Over the years, AI has helped her learn to conduct user research and write a formal paper, plug in new game ideas to an existing template, and even use computer-aided design tools and evaluate potential components as Audemy prototypes the co
- How AI tools can help level up your child’s PSLE English oral performance
How AI tools can help level up your child’s PSLE English oral performance The Straits Times
- 'Magic' Johnson gives HBCU commencement speech. See his AI advice.
'Magic' Johnson gives HBCU commencement speech. See his AI advice. USA Today
- Govee Ceiling Light Ultra Review: AI Art Ain’t It
A fun novelty that’s marred by better competition and a price that’s simply too high.
Score: 18🌐 MovesMay 10, 2026https://gizmodo.com/govee-ceiling-light-ultra-review-ai-art-aint-it-2000749755 - The mysterious AI-generated song powering Arsenal’s quest for glory
The mysterious AI-generated song powering Arsenal’s quest for glory The Telegraph
Score: 18🌐 MovesMay 10, 2026https://www.telegraph.co.uk/football/2026/05/10/mysterious-ai-generated-song-powering-arsenal-quest-glory/ - Data centers: Tech boom with downsides
Data centers are energy-intensive engines of growth, the backbone and hub of digitalization. Thousands of them are being built all around the world. The Iran war has shown how vulnerable societies are as a result.
Score: 18🌐 MovesMay 10, 2026https://www.dw.com/en/data-centers-tech-boom-with-downsides/a-77106191?maca=en-rss-en-all-1573-rdf - Learning Word Vectors for Sentiment Analysis: A Python Reproduction
How to build sentiment-aware word representations from IMDb reviews using semantic learning, star ratings, and linear SVM classification Continue reading on Towards AI »
- ImgUpscaler Announces Publication of “7 Best AI Image Upscalers for Midjourney Art (2026)” and Presents a Recommended Workflow for Large-Format Printing
ImgUpscaler Announces Publication of “7 Best AI Image Upscalers for Midjourney Art (2026)” and Presents a Recommended Workflow for Large-Format Printing The Arizona Republic
- ImgUpscaler Launches Guide for Upscaling Product Photos to 16K Using Image Upscaler and AI Photo Editor
ImgUpscaler Launches Guide for Upscaling Product Photos to 16K Using Image Upscaler and AI Photo Editor The Arizona Republic
- KI Challenge 2026: Your idea, your AI
Teenagers can build their own AI projects in this year's challenge.
Score: 15🌐 MovesMay 10, 2026https://ai.ethz.ch/news-and-events/ai-center-news/2026/02/ki-challenge-2026-your-idea-your-ai.html - The Sequence Radar #857: Last Week in AI: Inside the Machine, Outside the Text Box
Some groundbreaking research from Anthropic, OpenAI’s new voice models and major valuation shifts in Chinese AI labs.
- PSLE Companion subscribers can try out cher.ai for free
PSLE Companion subscribers can try out cher.ai for free The Straits Times
- How Mirae's Swarup Mohanty used AI to recalibrate his retirement plan
Swarup Mohanty, CEO of Mirae Asset, transformed his retirement strategy after AI revealed potential pitfalls in his original plan. With insights into market dynamics and a focus on longevity risk, he crafted a comprehensive portfolio that balances risk and growth.
- Utah's governor has made it harder for Kevin O'Leary to build his data center
Utah's governor has made it harder for Kevin O'Leary to build his data center Business Insider
Score: 15🌐 MovesMay 10, 2026https://www.businessinsider.com/utah-data-center-box-elder-kevin-oleary-governor-spencer-cox-2026-5 - Tucson Business Magazine Covers Landmark AI Event in Scottsdale as Arizona Business Community Embraces AI
Tucson Business Magazine Covers Landmark AI Event in Scottsdale as Arizona Business Community Embraces AI The Arizona Republic
- With a 20 LPA income, how much insurance should I take for my family of 4? I asked ChatGPT; AI exposes the bitter truth
ChatGPT devised a plan for a Bengaluru family earning ₹20 LPA. AI emphasises the importance of adequate coverage for financial security.
- Billionaire Investor on the Data Center Boom and Oil's Breaking Point
Billionaire Investor on the Data Center Boom and Oil's Breaking Point Barron's
- I asked ChatGPT: I earn ₹1 lakh yet drowning in debt — how long will it take to recover? AI explains what must change
ChatGPT warns that a ₹1 lakh salary is not enough to comfortably sustain a debt-heavy lifestyle with 36% credit card interest. The chatbot recommends cutting variable expenses sharply, stopping credit card usage entirely and restructuring repayments to become debt-free within 2–5 years.
- I asked ChatGPT: ‘Should I leave India and settle down in Dubai?’ AI suggests ideal salary for jobs to make the move
ChatGPT recommends the minimum salary required to leave India for a job in Dubai. Check the detailed AI response.
- Happy Mother's Day: I asked ChatGPT how women can budget smartly for extended maternity break – response was eye-opener
Working women planning to extend maternity leave should rethink finances, focusing on budgeting for increased costs and decreased income.
- Deep Blue versus Kasparov
Roh Jeong-tae The author is a writer and senior fellow at the Institute for Social and Economic Research. On May 11, 1997, in New York, Garry Kasparov struggled to conceal his anxiety before a packed audience and live television cameras. The Russian chess grandmaster, regarded as one of the greatest players in history and world champion from 1985 to 2000, was facing an unusually formidable opponent: Deep Blue, IBM’s chess-specialized supercomputer. Garry Kasparov, the world chess champion, sits deep in thought ahead of the sixth game of the human-versus-computer chess match held in New York in May 1997. In the foreground, an IBM computer engineer operates the chess supercomputer Deep Blue. [AFP/YONHAP] Kasparov had already defeated Deep Blue the previous year, winning three games with two draws and one loss. It had not been easy, but he remained confident. When the two met again in 1997, however, the machine had evolved. After five tense matches, the score stood at one win, three draws
Score: 10🌐 MovesMay 10, 2026https://koreajoongangdaily.joins.com/news/2026-05-11/opinion/meanwhile/Deep-Blue-versus-Kasparov/2588470 - Last day to get lifetime ChatGPT, Gemini, and more for $75
1min.AI is a lifetime AI tool that combines top AI models into one platform for a single $75 platform (MSRP $540).
Score: 10🌐 MovesMay 10, 2026https://mashable.com/article/may-10-1minai-advanced-business-plan-lifetime-subscription - In California, Tesla Does What No Other American Car Maker Can Do
The last time an American car manufacturer had a best-seller in California was in the 1990s. Tesla broke that long losing streak.
- AI made me a data center rap. Humanity may never recover.
AI made me a data center rap. Humanity may never recover. Business Insider
Score: 10🌐 MovesMay 10, 2026https://www.businessinsider.com/google-gemini-ai-music-data-center-rap-chatgpt-2026-5 - I asked ChatGPT to calculate monthly savings to build education fund for my children's higher studies in Delhi
I asked ChatGPT to calculate the required monthly savings to build a good education corpus for my children's higher studies for medical or engineering college in Delhi. Here is what artificial intelligence chatbot said…
- Nvidia co-founder Jensen Huang delivers commencement keynote at Carnegie Mellon University
Nvidia co-founder Jensen Huang delivers commencement keynote at Carnegie Mellon University
Score: 10🌐 MovesMay 10, 2026https://www.post-gazette.com/news/education/2026/05/10/jensen-huang-nvidia-cmu-commencement/stories/202605100108 - Roger Spitz Delivers AI & Cyber Keynotes at RSA Conference 2026 and Cloudflare’s Trust Forward Summit in San Francisco
Roger Spitz Delivers AI & Cyber Keynotes at RSA Conference 2026 and Cloudflare’s Trust Forward Summit in San Francisco The Arizona Republic
- Fervent and fake: High-glam AI avatars boost Trump ahead of midterms
Fervent and fake: High-glam AI avatars boost Trump ahead of midterms The Straits Times
- Anthropic signs $1.8 billion AI cloud deal with Akamai, Bloomberg News reports
AI startup Anthropic has secured a significant computing deal worth $1.8 billion with Akamai Technologies. This partnership aims to meet the growing demand for Anthropic's AI software. Akamai's shares saw a substantial rise following the announcement. The company is well-positioned to access necessary components for AI development. This development follows Anthropic's recent computing deal with Elon Musk's SpaceX.
- Logitech bets on AI, gaming and business users as it raises spending, CEO says
Logitech bets on AI, gaming and business users as it raises spending, CEO says
- Cerebras to raise IPO price range to $150 to $160 a share as demand surges, sources say
Cerebras is considering an IPO price range of $150 to $160 a share and raising the number of shares marketed to 30 million from 28 million, Reuters reported.
- Exclusive: Cerebras to raise IPO price range to $150-$160 as demand surges, sources say
Exclusive: Cerebras to raise IPO price range to $150-$160 as demand surges, sources say Reuters
- Alibaba links Qwen AI to Taobao for chat shopping
Qwen app will access over 4 billion products from Taobao and Tmall catalogs.
- Alibaba integrates Qwen AI with Taobao for end-to-end agentic shopping
The Qwen app gets access to Taobao and Tmall’s catalogue of more than 4 billion items, plus Alipay-native checkout, in what is the largest agentic-commerce launch yet from a Chinese platform. Alibaba is integrating its Qwen AI app with Taobao and Tmall, the company’s two largest consumer marketplaces, in what amounts to the most ambitious […] This story continues at The Next Web
- Alibaba brings chat-style shopping to Taobao and Qwen amid AI gateway push: source
Chinese e-commerce giant Alibaba Group Holding is preparing an overhaul of how local consumers shop online, betting that the next trend will feel more like chatting with an artificial intelligence chatbot rather than typing keywords into a search bar, according to a source. Users of the company’s flagship AI assistant Qwen – one of the most popular in China – would soon be able to use natural language to “talk” with the chatbot app to find and buy items listed on Alibaba’s Taobao and Tmall...
- Alibaba to integrate Qwen AI with Taobao, launch agentic shopping
Alibaba to integrate Qwen AI with Taobao, launch agentic shopping
- Trump trip to China to focus on Iran, AI, and trade
US officials are tempering expectations ahead of the president’s meeting with Xi Jinping.
- Anthropic says internet posts about ‘Evil AI’ behind Claude’s blackmail threats
Anthropic says internet posts about ‘Evil AI’ behind Claude’s blackmail threats
- Anthropic fixes its 'evil' AI problem, explains why Claude resorted to blackmail
Anthropic has revealed why its Claude 4 model resorted to blackmail and how it ended up fixing the problem.
- XCrawl
XCrawl
- LIME: a fully automated pipeline for high-throughput quantification of leaf lesions
Accurate quantification of leaf lesion severity is essential for plant disease research and phenotyping but is often limited by subjective visual scoring and time-intensive manual image analysis. We present LIME, a fully automated, open-source image analysis pipeline for high-throughput quantification of leaf lesions from disease assay images. LIME integrates zero-shot leaf segmentation using the Segment Anything Model with a convolutional neural network for lesion area estimation. Applied to Arabidopsis thaliana leaves infected with Sclerotinia sclerotiorum, the proposed approach achieved a mean absolute percentage error of 12.9%, comparable to observed intrarater variability in manual scoring. Stratified evaluation across lesion-size groups demonstrated consistent prediction accuracy for small, intermediate, and large lesions, and comparative analysis showed that the deep learning-based model substantially outperformed color-based baseline methods. Under GPU-accelerated execution, LI
- WPS | AI Summarizer
Turn long content into clear, concise summaries.
- Healthcare workers' acceptance of artificial intelligence in cardiac diagnosis: Implications for medical education and training programs
Background The integration of artificial intelligence (AI) in cardiology requires healthcare worker acceptance for successful implementation. Understanding attitudes and educational needs is crucial for developing effective training programs. Methods A cross-sectional survey was conducted among 408 healthcare workers treating cardiac diseases in Riyadh, Saudi Arabia. We assessed AI acceptance, knowledge levels, and training preferences using validated scales. Statistical analyses included descriptive statistics, chi-square tests, correlation analysis, reliability testing, and multiple logistic regression. Results Of 408 participants, 407 provided complete responses. The sample comprised predominantly young (87.0% aged [≤]30), female (75.7%) medical residents (89.9%) with limited AI experience (86.7% never used AI clinically). Internal consistency was excellent (Cronbach's = 0.892). Moderate acceptance was observed: 49.9% were aware of AI applications in cardiology, 46.7% were willing t
- MISP-Bench: Decomposing User-Provided False Priors into Answer, Rationale, and Guard Effects
Large language models in clinical and educational settings routinely receive user-provided context containing incorrect prior beliefs. Existing benchmarks measure aggregate susceptibility to such priors but do not disentangle which structural component (the asserted answer, the supporting rationale, or their combination) drives the damage, nor test whether safety meta-prompts such as "verify the reasoning firs" consistently mitigate it. We introduce MISP-Bench, a factorial benchmark of 1,724 audited multiple-choice items (1,430 MedMCQA medical + 294 GSM8K quantitative) evaluated under 13 prompt conditions across 10 open-weight instruction-tuned models (1B-27B) in chain-of-thought and direct modes, with approximately 1.33M audited response records across three runs per condition. Distractors were generated by GPT-5.4 and the model was excluded from the evaluated set to prevent circular evaluation. Targeted and arbitrary distractor subsets yield similar aggregate Misinformation Damage In
- The German National Cohort: Ophthalmological Assessment, Baseline Profile and Potential for AI-based Eye Research
Objective: To describe the ophthalmic examination protocol within the German National Cohort (NAKO) / NAKO Gesundheitsstudie, to report the baseline profile of participants undergoing ophthalmological assessment, and to illustrate the potential of these data as a population-based open resource for artificial intelligence (AI) research in eye health. Design: Baseline analysis of ophthalmic data within the nationwide, population-based multicenter prospective NAKO study. Participants: 48,460 adults in the ophthalmological level 2 module of 205,053 adults enrolled in NAKO, aged 19-74 years, with mean age 48.9 {+/-} 12.5 years and 52.7% male. Methods: All participants underwent standardized assessments of a wide range of biomedical examinations and detailed questionnaire-based data collection, including non-dilated color fundus imaging, visual acuity testing, recording of a brief ocular history. Ocular and systemic health measures were summarized using descriptive statistics. Fundus image q
- Artificial intelligence for detecting bipolar disorder in electronic health records of patients with affective diagnoses: a diagnostic accuracy study
Background: Bipolar disorder (BD) is frequently underdiagnosed, particularly in patients presenting with depressive disorders, leading to delays in appropriate treatment. Artificial intelligence (AI) applied to electronic health records (EHRs) may improve early detection by identifying clinically relevant symptom patterns. Objective: To evaluate the diagnostic performance of a natural language processing (NLP)-based AI model for detecting BD-related features in EHRs of patients with affective diagnoses. Methods: A retrospective diagnostic accuracy study was conducted using 500 EHRs from a psychiatric referral hospital in Bogota, Colombia (2020-2024). The model extracted 18 predefined clinical domains from unstructured text and classified patients into four risk categories. Diagnostic performance was assessed in a validation subset of 100 records using independent psychiatric evaluation as the reference standard. Sensitivity, specificity, positive and negative predictive values, F1-scor
- SEIR-IoT cyber-physical architecture with dual parametric coupling for epidemic scenario simulation using synthetic biomedical signals
This study presents a proof-of-concept cyber-physical architecture integrating a SEIR epidemiological model (Susceptible-Exposed-Infectious-Recovered), implemented in MATLAB, with a simulated Internet of Things (IoT) acquisition and transmission stage based on the ESP32 microcontroller and the ThingSpeak platform. The system generates synthetic biomedical signals of body temperature and peripheral oxygen saturation (SpO2), structured across three levels: circadian variation, scheduled pathological episodes, and Gaussian noise. These signals feed a dual parametric coupling function that dynamically updates the SEIR transmission parameter as a combined function of body temperature and oxygen saturation deviations from their clinical reference values. The proposed architecture is organized into four functional phases: measurement, communication, computational processing, and feedback. Five simulated clinical scenarios were evaluated, ranging from normal conditions (T = 36.5 {degrees}C, Sp
- Scalable deep-learning-based inference of time-varying transmission dynamics from outbreak phylogenies
Infectious disease dynamics can be inferred from pathogen genomic data using phylodynamic methods, but the applicability of many such approaches to large data sets is constrained by computational cost. Recent deep-learning approaches to phylodynamics have improved scalability, yet challenges remain when genetic divergence is limited during fast spreading outbreaks. To address this, we use pathogen-specific models to show that deep-learning models trained on outbreak-like phylogenies can accurately estimate the reproductive number (R) when both the birth-death model and the expected phylogenetic resolution are matched to the target pathogen, highlighting the importance of realistic training conditions. Focusing on three major respiratory pathogens of public health importance (SARS-CoV-2, seasonal human influenza virus, and respiratory syncytial virus (RSV)), we introduce PhyloRt, a scalable framework for estimating the time-varying reproductive number (Rt) from large outbreak phylogenie