I extend my sincere condolences to the family of Dr Mahmoud Al Qaisiya, who played a key role as a pioneering teacher and educator during the early years of the UAE. Working alongside the late Sheikh Zayed, he was instrumental in advancing our nation’s education sector and leaves a prominent legacy. May he rest in peace.

Three Afghan suspects are accused of gang raping a 17-year-old girl in Dortmund, filming the rape, and then laughing as they traumatized the victim. The three men – 20-year-old Quais W., 19-year-old Burhanulla N., and 25-year-old Kambiz H. – are currently on trial in Dortmund Regional Court involving a range of serious charges, including rape and the filming of a pornographic video of a minor. If only Germany had handed out leaflets 🤷‍♀️

10 AI Trading GitHub Repos You Should Have on Your Radar: TradingAgents Multi-agent trading firm with analysts, researchers, risk managers, and a portfolio manager. AI Hedge Fund Investor-inspired agents debating valuation, sentiment, fundamentals, and risk. FinRL-X AI-native infrastructure for data, strategy development, backtesting, risk and execution. Qlib Microsoft’s platform for ML-based quantitative research and production workflows. RD-Agent Multi-agent factor discovery and model optimization for quantitative research. FinGPT Open-source financial language models, datasets and sentiment pipelines. FinRobot LLM agent platform for financial analysis, research reports and strategy workflows. AI-Trader An agent-native platform where AI agents can generate and exchange trading signals. Agentic Trading Lab Traceable experiments, backtests, paper trading, and decision logs for LLM agents. TradingGoose Multi-agent research and portfolio analysis built around market-moving events. The opportunity is not asking an LLM whether to buy a stock. It is building a measurable loop: >data >hypothesis >signal >sizing >execution >evaluation >memory Treat these as research infrastructure, not plug-and-profit bots. Save the list. Fork the systems. Verify every result.

Scaling hybrid workloads with NVIDIA CUDA-Q is enabling teams across the quantum ecosystem to explore real-world impact using GPU-accelerated simulation. 🚀 ⚡ Aegiq and @Quantum_Motion are advancing quantum chemistry workflows with CUDA-Q. ⚡ Classiq is drawing on CUDA-Q to explore new quantum applications in finance. ⚡ FirstQFM has demonstrated quantum foundation models on the Leonardo supercomputer. ⚡ Eclipse Qrisp (pioneered by @Fraunhofer FOKUS) and @Qilimanjaro are powering their work with CUDA-Q. ⚡ qBraid now serves as a CUDA-Q target, expanding access to a broad set of QPU providers. ⚡ QCentroid is building QuantumOps workflows on CUDA-Q, driving more efficient applications development. ⚡ Welinq is pairing its distributed quantum compiler with CUDA-Q for GPU-accelerated circuit verification. The path to useful quantum computing is hybrid—powered by accelerated simulation. Learn more: #ISC26#