Results for "nsit".

FOMC Preview: The Powell-To-Warsh Transition Matters

The Fed transition from Powell to Warsh signals a regime shift toward aggressive balance sheet cuts and less forward guidance. Learn why a liquidity shock is possible.…

At least 10 people tied to sensitive US research have died or disappeared

At least 10 individuals connected to sensitive US nuclear and aerospace research have died or disappeared in recent years, prompting concerns whether they are connected and fueling speculation online …

Decreased Intelligence Density in DeepSeek V4 Pro

In the V3.2 paper, they mentioned: Second, token efficiency remains a challenge; DeepSeek-V3.2 typically requires longer generation trajectories (i.e., more tokens) to match the output quality of mode…

I moved to Japan 4 months ago. So far, the cost of fruit and the country's transit system have really surprised me.

Forget Plug Power: This Profitable Clean‑Energy Leader Is the Smarter Way to Ride the Energy Transition

AI capex-sensitive stocks Oracle, SoftBank fall amid rising OpenAI worries - Investing.com

Earnings call transcript: WeShop Holdings Q4 2025 results reflect strategic transition

ME Group’s Tania Crasnianski transitions to non-executive role

Transition to a New Fed Chair Is Unlikely to Mean Immediate Rate Cuts

AI capex-sensitive stocks fall amid rising OpenAI worries

Will the 'broken vase' of the fossil fuel industry lead to a faster global transition, or will developing nations be forced back into coal dependency?

The current energy crisis and fluctuating fuel prices are creating a global ripple effect. While some see this as the 'broken vase' moment that will accelerate the shift to renewables, others fear tha…

Northern Beaches hospital handed to NSW government, ending troubled public-private partnership

Transition and legal handover of hospital from private operator Healthscope to NSW Health occurs at 7am on Wednesday…

China’s upgrades maritime rescue range and depth as ambitions on high seas expand

Body responsible for strategically sensitive South China Sea completes ‘formal transition’ after extensive deepwater training.…

Phony whistleblowers, fake journalists and cyber spies

Shortly after publication, a slew of fake ICIJ reporters approached journalists, Taiwanese officials, and human rights advocates seeking sensitive data. With Citizen Lab, we investigated…

8 partners set to transform the future of energy consulting

Consulting firms like Boston Consulting and McKinsey see AI-driven electricity demand surge, complicating energy transition efforts.…

‘Transformative’ Skyscraper To Soar Next to World’s Biggest Railway Station

The striking New York City skyscraper will feature a new transit hall in one of North America's busiest hubs.…

Iran Conflict And Energy Markets: The Initial Response From Active Managers

Markets have moved in bursts as the Strait of Hormuz has opened and closed, keeping energy prices and volatility sensitive to each shift in supply risk.…

Trump, Melania call on ABC to fire Jimmy Kimmel — what triggered the row

US News: After the White House correspondents’ dinner shooting, Jimmy Kimmel came under criticism for a rather insensitive comment towards Melania Trump after .…

Judging the Judges: A Systematic Evaluation of Bias Mitigation Strategies in LLM-as-a-Judge Pipelines

LLM-as-a-Judge has become the dominant paradigm for evaluating language model outputs, yet LLM judges exhibit systematic biases that compromise evaluation reliability. We present a comprehensive empir…

StoryTR: Narrative-Centric Video Temporal Retrieval with Theory of Mind Reasoning

Current video moment retrieval excels at action-centric tasks but struggles with narrative content. Models can see \textit{what is happening} but fail to reason \textit{why it matters}. This semantic …

Discovering Agentic Safety Specifications from 1-Bit Danger Signals

Can large language model agents discover hidden safety objectives through experience alone? We introduce EPO-Safe (Experiential Prompt Optimization for Safe Agents), a framework where an LLM iterative…

AdaMamba: Adaptive Frequency-Gated Mamba for Long-Term Time Series Forecasting

Accurate long-term time series forecasting (LTSF) requires the capture of complex long-range dependencies and dynamic periodic patterns. Recent advances in frequency-domain analysis offer a global per…

Context-Aware Hospitalization Forecasting Evaluations for Decision Support using LLMs

Medical and public health experts must make real-time resource decisions, such as expanding hospital bed capacity, based on projected hospitalization trends during large-scale healthcare disruptions (…

CT-FineBench: A Diagnostic Fidelity Benchmark for Fine-Grained Evaluation of CT Report Generation

The evaluation of generated reports remains a critical challenge in Computed Tomography (CT) report generation, due to the large volume of text, the diversity and complexity of findings, and the prese…

The Kerimov-Alekberli Model: An Information-Geometric Framework for Real-Time System Stability

This study introduces the Kerimov-Alekberli model, a novel information-geometric framework that redefines AI safety by formally linking non-equilibrium thermodynamics to stochastic control for the eth…

An Analysis of the Coordination Gap between Joint and Modular Learning for Job Shop Scheduling with Transportation Resources

Efficient job-shop scheduling with transportation resources is critical for high-performance manufacturing. With the rise of "decentralized factories", multi-agent reinforcement learning has emerged a…

Certified geometric robustness -- Super-DeepG

Safety-critical applications are required to perform as expected in normal operations. Image processing functions are often required to be insensitive to small geometric perturbations such as rotation…

Beyond the Attention Stability Boundary: Agentic Self-Synthesizing Reasoning Protocols

As LLM agents transition to autonomous digital coworkers, maintaining deterministic goal-directedness in non-linear multi-turn conversations emerged as an architectural bottleneck. We identify and for…

Interoceptive machine framework: Toward interoception-inspired regulatory architectures in artificial intelligence

This review proposes an integrative framework grounded on interoception and embodied AI-termed the interoceptive machine framework-that translates biologically inspired principles of internal-state re…

Towards Lawful Autonomous Driving: Deriving Scenario-Aware Driving Requirements from Traffic Laws and Regulations

Driving in compliance with traffic laws and regulations is a basic requirement for human drivers, yet autonomous vehicles (AVs) can violate these requirements in diverse real-world scenarios. To encod…