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PractiTest Unlocks Project-Aware AI for QA Teams with New MCP Capability

PractiTest announced a new MCP (Model Context Protocol) capability that connects AI Models like ChatGPT and Claude directly to PractiTest’s project data. Teams can use real context to generate tests from requirements, suggest edge cases, analyze coverage gaps, and then create and link approved outputs back into PractiTest. “AI is only as reliable as the

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AI-driven audio-to-video generation for dynamic content creation via stable diffusion and CNN-augmented transformers – Scientific Reports

References Zhou, P. et al. A survey on generative AI and LLM for video generation, understanding, and streaming. ArXiv (Cornell University). https://doi.org/10.48550/arxiv.2404.16038 (2024). Google Scholar  Kim, D., Joo, D. & Kim, J. TiVGAN: text to image to video generation with Step-by-Step evolutionary generator. IEEE Access. 8, 153113–153122 (2020). Google Scholar  Vondrick, C., Pirsiavash, H. &

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The Role of Artificial Intelligence in Reducing Dispensing Errors for | RMHP

Introduction Medication errors, including prescribing, dispensing, administration, and monitoring-related failures, represent a significant concern in healthcare because of their potential to cause harm to patients.1 In the UK alone, such errors contribute to approximately £98 million annual losses and an estimated 1708 deaths.2 As these errors can occur at any stage of the medication use

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Artificial Intelligence in Orthopaedic Research: A Technical Report on Opportunities and Pitfalls

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Breast Cancer Recurrence Risk Determined by Deep Learning Model Trained on Histopathologic Slides

A deep learning model demonstrated the ability to predict breast cancer recurrence risk and possible benefit from the addition of chemotherapy based on histopathologic images rather than genomic testing in patients with hormone receptor–positive, HER2-negative breast cancer, according to findings presented during the inaugural European Society for Medical Oncology (ESMO) Artificial Intelligence (AI) & Digital Oncology

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How edge AI Is redefining continuous zero trust security

Gibran Kazi, Co-Founder and CEO, Erasys discusses why the future of zero trust depends on continuous authentication powered by privacy-preserving, hardware-optimised AI at the edge rather than centralised cloud models. The collapse of point-in-time security For the past decade, the cybersecurity industry has operated on a perilous assumption: That a user who logs in successfully

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KRAFTON Appoints Kangwook Lee as Chief AI Officer

ANI | Updated: Feb 23, 2026 14:27 IST PNNBengaluru (Karnataka) [India], February 23: KRAFTON, Inc. has announced the appointment of Kangwook Lee, Head of KRAFTON AI, as Chief AI Officer (CAIO), a newly established executive role designed to oversee the company's AI R&D and mid-to-long-term innovation strategy.* Established CAIO role to advance game AI R&D

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5 barriers to AI adoption in pediatric cancer imaging

There are five key barriers that are preventing the proliferation of artificial intelligence in pediatric cancer imaging, according to a recently published editorial.  The excitement surrounding AI in adult oncology is “palpable,” experts note, with deep learning models supporting everything from lesion detection to clinical trial enrollment.  “Yet pediatric oncology remains on the periphery of

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cobalt-ai-launches-advanced-data-infrastructure-for-ai-labs

Cobalt AI Launches Advanced Data Infrastructure for AI Labs

Cobalt AI, a San Francisco-based startup, is scaling up its comprehensive platform that provides expert-curated datasets, evaluation frameworks, and specialized data tools designed for AI labs, AI agent development, and institutional investors. Also Read:  AiThority Interview With Arun Subramaniyan, Founder & CEO, Articul8 AI AI labs require a level of data quality and evaluation rigour

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sonic-labs-launches-spawn,-the-first-ai-platform-for-building-web3-apps-from-natural-language

Sonic Labs Launches Spawn, the First AI Platform for Building Web3 Apps From Natural Language

Previewed LIVE at ETHDenver 2026, Spawn eliminates the barrier to smart contract coding, allowing anyone to build and deploy complete Web3 applications from a single prompt AI-powered builder tools have accelerated Web2 development, but Web3 has remained constrained by smart contract complexity, tooling fragmentation, and deployment overhead. Building a decentralized application requires deep expertise across

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