#artificial intelligence

www.tehrantimes.com

Iran wins medals at International Olympiad in Artificial Intelligence

TEHRAN – Iranian students won a gold medal, two silver medals, and a bronze medal at the third edition of the International Olympiad in Artificial Intelligence (IOAI 2026), held from August 2-8 in Astana, Kazakhstan. IOAI is the International Science Olympiad in AI for high school students. It aims to inspire young people globally in science, focusing on AI. The competition provides a platform for top AI students selected through national competitions to compete, exchange ideas, and build connections, fostering a dialogue on AI’s opportunities and ethical challenges among students and the community. Shayan Rezaeizadeh grabbed the gold medal, Mohammad-Reza Darvishi, and Mohammad-Amin Nazmfar won the silver medals, while Mani Monjipor received the bronze medal, IRNA reported. This year’s competition brought together over 120 teams, more than 500 students from 103 countries and territories around the world to compete in AI and machine learning (ML) challenges. Each country participated with up to two teams of four students, guided by a team leader. The Olympiad tests skills in machine learning, data science, and AI problem-solving. This year’s IOAI featured three main modules: Individual Contest: Participants solved AI and ML problems individually, demonstrating personal expertise in algorithm design, model training, and data...

www.koreatimes.co.kr

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www.nzherald.co.nz

Tenancy Tribunal issues new artificial intelligence guidelines amid concerns over 'cases with AI slop'

“They all have the same pattern,” he said. “We’re providing a lot of training to our property managers on how to deal with this and not to panic, because when you get a claim with, say, 200 pages against you, it can be quite intimidating. “A lot of what the AI spits out, is actually also incorrect.” In a case last year against Property Brokers, a tenant reportedly submitted a 101-page report, along with 215 pages of evidence, asking for $40,000 in compensation – all seemingly created by AI. The tenant ended up being awarded just $80. Faulkner said these kinds of claims not only require more time and resources, but also cause delays in the Tenancy Tribunal. However, the use of AI is not only being used by tenants, but by landlords and property managers, says Tenancy Advisory director Sarina Gibbon. Her organisation provides education and advice around residential tenancy law, and Gibbon was less sympathetic about the bloated and complex claims caused by AI. She said it’s “part of their job” for property managers and adjudicators to find solutions “in the face of an emerging technology”. Gibbon believes the drawbacks of AI ultimately disadvantage tenants the most. “Unfortunately,...

www.nature.com

Quality assessment of artificial intelligence responses in erectile dysfunction: a comparative ...

Artificial intelligence (AI)–based language models are increasingly explored as tools for interpreting and applying clinical guideline recommendations. In urology, the European Association of Urology (EAU) recently introduced a guideline-specific chatbot; however, its comparative performance relative to contemporary general-purpose large language models (LLMs) remains unclear. In this structured comparative study, five AI systems—the EAU Guidelines Bot, ChatGPT-5, Gemini 2.5 Pro, Copilot – Smart GPT-5, and Perplexity Pro—were evaluated using 13 clinical questions derived directly from strongly recommended statements in the EAU erectile dysfunction (ED) guidelines. Responses were independently assessed by three senior reviewers across five predefined domains: relevance, clarity, structure, clinical utility, and factual accuracy, using a 5-point Likert scale. The primary outcome of the study was the composite performance score, which was calculated as the mean of the five domain scores. Inter-rater reliability was calculated using ICC(2,k), and differences among models were analyzed with the Friedman test followed by Holm-adjusted Wilcoxon post-hoc comparisons. Significant performance differences were observed across all domains (all p < 0.001). The highest composite scores were observed for Gemini 2.5 Pro [4.60 (4.40–4.73)] and the EAU Guidelines Bot [4.53 (4.47–4.80)], followed by ChatGPT-5 [4.27 (4.07–4.47)]. Lower composite scores were observed for Copilot – Smart GPT-5 [3.73...

abcnews.com

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www.news-medical.net

Artificial intelligence may enhance implementation of health policy

Complex healthcare policies are often challenging to implement. That's a reality states across the country will deal with as new Medicaid work requirements get rolled out next year. The new federal rule, part of the Budget Reconciliation Act of 2025 (HR 1), requires adults enrolled under the Affordable Care Act (ACA) expansion of Medicaid eligibility to complete at least 80 hours per month of qualifying work or community engagement activities or meet exemption criteria to maintain their coverage starting Jan. 1. A new Special Communication published Aug. 7 in JAMA Health Forum suggests that artificial intelligence may enhance implementation of this policy by helping state Medicaid agencies keep eligible individuals enrolled in Medicaid. Going forward, the use of AI can help states and local governments roll out and improve other healthcare policies, too. Medicaid work requirements introduce administrative complexities into an already very complex program. It's already very complicated to figure out how to apply for Medicaid and stay enrolled. It differs by state. Forms are confusing, and this new requirement creates additional administrative complexity for Medicaid agencies and the people who are trying to get or stay enrolled." Dr. Beth McGinty, professor of population health sciences at Weill Cornell...

www.csmonitor.com

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www.siliconrepublic.com

What is the impact of artificial intelligence on recruitment?

IT Search’s David Shanahan explores how modern technologies are affecting the traditional recruitment process. Artificial intelligence has impacted almost every job known to man – not just in how the work is engaged with and carried out, but even in how roles are discovered and applied for in the first place. And it isn’t just employees or applicants using AI shortcuts; employers, too, are frequently turning to advanced tech to ease a heavy workload. “AI is now being used across every stage of the recruitment process”, explained David Shanahan, a director at Irish recruitment agency IT Search, which is a member of the Vertical Markets Group. “Candidates are using it to tailor CVs, create cover letters, prepare for interviews and process job applications at scale. Employers are using AI to write job descriptions, support sourcing outreach, and screen and rank applications.” Shanahan finds currently he is hearing more negatives than positives about the use of AI in the recruitment process, from clients and candidates, but thinks it is important to remember that “AI is simply a tool”. He said, “When used correctly, it can improve productivity, reduce administration and help both candidates and employers. Used poorly, it can create more...

www.thehindu.com

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www.koreatimes.co.kr

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www.nature.com

Artificial intelligence in drug discovery - what it is, where we stand and the path forward

Cireşan, D. C., Meier, U., Gambardella, L. M. & Schmidhuber, J. Deep, big, simple neural nets for handwritten digit recognition. Neural Comput. 22, 3207–3220 (2010). Krizhevsky, A., Sutskever, I. & Hinton, G. E. ImageNet classification with deep convolutional neural networks. In Advances in Neural Information Processing Systems 25 (NIPS 2012) 1097–1105 (Curran Associates, Inc., 2012). Hochreiter, S. & Schmidhuber, J. Long short-term memory. Neural Comput. 9, 1735–1780 (1997). Walters, W. P. & Barzilay, R. Critical assessment of AI in drug discovery. Expert. Opin. Drug Discov. 16, 937–947 (2021). Rodriguez, A. et al. Unlocking the Potential of AI in Drug Discovery (Boston Consulting Group Report, 2023). Jayatunga, M. K. P., Xie, W., Ruder, L., Schulze, U. & Meier, C. AI in small-molecule drug discovery: a coming wave? Nat. Rev. Drug Discov. 21, 175–176 (2022). Mullard, A. 2024 FDA approvals. Nat. Rev. Drug Discov. 24, 75–82 (2025). Phares, S., Phillip, K. & Trusheim, M. Clinical development success rates for durable cell and gene therapies. Nat. Rev. Drug Discov. 24, 329–330 (2025). Wouters, O. J. et al. Differential legal protections for biologics vs small-molecule drugs in the US. J. Am. Med. Assoc. 332, 2101–2108 (2024). Jayatunga, M., Ayers, M., Bruens, L., Jayanth, D...

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