Seoul Metropolitan Government is deploying AI systems and high-capacity pumps to combat summer floods. The initiative addresses the growing threat of localized torrential rains and typhoons fueled by climate change.
On 24 October 2025, K-water and OpenAI announced a collaboration to co-develop large language models, climate-risk forecasting tools, and autonomous plant operation frameworks focused on flood-risk and stormwater analyti…
AI+ Power 2026 will return to the Hong Kong Convention and Exhibition Centre on 4-5 June 2026, debuting a Smart Living Experience Zone featuring autonomous cleaning robots, gerontech care solutions, and workplace hardwar…
Researchers Haftu W. Fentaw and two coauthors introduced a Multi-task Soft Actor-Critic framework that simultaneously learns optimal pulse sequences and discovers problem-specific evolution time and control segment numbe…
Euimin Lee and Shiho Kim formulated step-wise measurement-shot allocation inside depth-1 Recursive QAOA as a sequential decision problem in arXiv paper 2605.26544. The authors evaluated a hand-crafted heuristic and a tab…
Hao-Hsuan Chen proposed a foundational actuarial runtime for autonomous AI agents in a new arXiv paper (arXiv:2605.26508). The framework charges a time-consistent, counterfactual risk toll for each side-effect-bearing ac…
Coinflow CISO Malcolm Portelli stated that crypto payment firms are prime targets for advanced persistent threat groups, with security workloads intensifying under AI-driven pressure. Portelli, who runs the company’s sec…
A new arXiv preprint proposes an end-to-end deep learning framework that directly learns portfolio weights by combining Long Short-Term Memory networks, Graph Attention Networks, and financial news sentiment analysis. Th…
Researchers Juan Cruz-Benito and Ismael Faro adapted Microsoft's QuantumKatas exercises from Q# to Qiskit, creating a benchmark of 350 tasks across 26 categories to evaluate large language models on quantum code generati…
An arXiv paper (arXiv:2605.26437) by Po Han Teo, submitted May 26, 2026, proposes a bounded-rationality framework to explain systematic differences between humans and large language models in strategic settings. The pape…
Render Token (RENDER) surged over 30% in the past week, climbing from approximately $1.80 to $2.35, its highest price since January. The rally coincided with a spike in on-chain activity, as analytics firm Santiment repo…
Wealth management firms are adopting data-driven personalization at scale, moving beyond basic digital tools toward operating models shaped by data science, artificial intelligence, automation, and portfolio engineering.…
Hana Elster, a 22-year-old Boston University senior, built a vintage-clothing marketplace called VYA over winter break using Claude, producing a pilot in five days that now has hundreds of users. Elster developed the pla…
Generative AI tools now operate inside nearly every European workplace, with a Netskope report finding AI touches 99% of organizations in Europe and individual user interaction rising from 35% to 65% year-on-year. Regula…
A developer created a free Blender add-on that adds texture reload commands to the right-click menu in the Shader Editor and 3D Viewport, eliminating the need to navigate through the Image Editor for texture updates. The…
AI agents are bypassing enterprise security stacks built for human actors, creating an architectural gap that leaves RBAC, PAM, SIEM, and MFA ineffective. Because AI agents don't log in or trigger access workflows, they …
KEPCO deployed an AI-based power grid management system to reduce annual electricity procurement costs by approximately 110 billion won ($73.4 million). The state-run utility overhauled its demand forecasting model and o…
Anthropic now routinely grants its Claude AI agent access sufficient to take down internal services, a level of deployment the company would have rejected a year ago. To manage the growing risk, Anthropic engineers focus…
Researchers from the National University of Singapore, MIT CSAIL, A*STAR, and SMART have developed MEMO, a framework that trains a separate, small language model to internalize new knowledge from documents without modify…
TestSmith has implemented a two-tier knowledge hierarchy to provide AI agents and LLMs with structured, task-specific context. For AI agents working on the TestSmith codebase, the system uses a `CLAUDE.md` hierarchy with…