technology
Schroders Renewable Unit Targets AI Assets as Power Demand Soars
Schroders’ renewable unit targets AI infrastructure, pivoting to meet soaring energy demand from artificial intelligence assets.
State Street's Paglia on SBI Group Partnership, ETFs
State Street's Paglia discusses the SBI Group partnership and ETFs, but the source text is missing. Please provide the article to generate a summary.
Nvidia Boss Says Workers Should Be Paid ‘as Much as Possible’
Nvidia CEO Jensen Huang advocates for paying workers “as much as possible,” emphasizing maximum compensation. This stance highlights his commitment to employee welfare amidst the company's significant industry influence and success.
TSE Talking With Regulator For Easing ETF Listing Rules
The Tokyo Stock Exchange is discussing with regulators to ease ETF listing rules. This aims to simplify market access and boost liquidity for exchange-traded funds.
S&P DJI CEO on Japan Markets, Mega IPOs
S&P DJI CEO discusses Japan's financial markets and major IPOs.
ABB Robotics on Nvidia Partnership, Physical AI
ABB Robotics discusses its collaboration with Nvidia, focusing on advancing Physical AI capabilities to enhance robotic automation and intelligence.
China Adds Data and AI to Trade Secret Rules to Block Leaks
China has expanded trade secret regulations to include data and AI, aiming to prevent leaks and protect intellectual property.
Nvidia Chips Sought by Chinese Labs With Military Ties
Chinese labs with military ties are seeking Nvidia chips, raising concerns about potential dual-use technology transfers. This pursuit highlights ongoing tensions over semiconductor exports to entities linked to China's defense sector.
Chinese Bionic Hand Maker Sees Humanoid Robot-Led Sales Boom
BrainCo reports a sales surge for its bionic hands, driven by demand from humanoid robots. This boom highlights the growing commercial viability of advanced prosthetic technology in the robotics sector.
Asia stocks skittish as Middle East anxiety offsets AI optimism
Asian stocks faced volatility as Middle East tensions offset AI-driven optimism, creating a mixed market sentiment.
Position Paper: Post-Solve Robustness in Decision Engines: Feasible Regions and Smoothness Under Perturbations
This paper proposes a post-solve auditing layer for MILP engines to evaluate solution robustness against perturbations. It defines feasible neighborhoods and solution smoothness to enhance reliability in industrial decision systems.
Deliberative Curation: A Protocol for Multi-Agent Knowledge Bases
This paper proposes a deliberative curation protocol for multi-agent knowledge bases, enhancing resilience against adversity. Simulations show it outperforms majority voting, particularly under stress, by mitigating agent-specific governance challenges.
Emergent Collaborative Deliberation in Multi-Model AI Systems: A BFT-Derived Protocol for Epistemic Synthesis
The Consilium Protocol uses BFT principles to synthesize AI deliberations, revealing persona-driven epistemic behavior and RLHF-induced biases. It validates that low-cost models match frontier outputs when decoupled from identity.
Agents on a Tree: Pathwise Coordination for Multi-Objective Molecular Optimization
ATOM is a multi-agent framework for molecular optimization that coordinates agents along tree paths to balance conflicting objectives. It outperforms baselines in Pareto coverage and hypervolume by preserving diverse design trajectories.
Universal Quantum Transformer
The Universal Quantum Transformer achieves exact, deterministic mathematical reasoning on NISQ hardware, outperforming classical models by avoiding stochastic instability and quadratic attention bottlenecks.
MindGames Arena Generalization Track: In2AI Solution with Delayed Per-Step Reward Attribution
In2AI’s delayed reward attribution and efficient RL framework secured first place in the MindGames Arena Generalization Track, outperforming larger proprietary models like GPT-5.
Optimal Transport-based Permutation-Invariant Bayesian Optimization of Offshore Wind Farm Layouts
This study introduces Permutation-Invariant Bayesian Optimization (PIBO) using Optimal Transport to optimize offshore wind farm layouts. PIBO outperforms traditional methods, reducing computational time by 50% while generating superior configurations.
On the evolution of the concept of probability as a mirror of the evolution of reason
This paper traces probability’s evolution as a mirror of reason, identifying its limits in handling conceptual ambiguity. It positions fuzzy logic and deep learning as complementary tools for modern scientific rationality.
Evaluating Interactive Reasoning in Large Language Models: A Hierarchical Benchmark with Executable Games
This paper introduces a hierarchical benchmark using 474 executable games to evaluate LLMs' interactive reasoning, evidence gathering, and metacognitive adaptation. Results show significant performance disparities, particularly in counterfactual revision tasks.
Product-Aware Deep Autoencoders for Robust Process Monitoring in Multi-Product Cyber-Physical Systems
Product-aware autoencoders outperform global models in multi-product CPS, achieving 100% attack detection versus 22.2%. This approach eliminates blind spots caused by aggregated operational variance.