AI & Technology Law

arXiv:2602.13666v1 Announce Type: new Abstract: In complex clinical decision-making, clinicians must often track a variety of competing metrics defined by aim (ideal) and limit (strict) thresholds. Sifting through these high-dimensional tradeoffs to infer the optimal patient-specific strategy is cognitively demanding...

arXiv:2602.13700v1 Announce Type: new Abstract: We present the first high-probability optimal regret bound for a policy optimization technique applied to the problem of stochastic contextual multi-armed bandit (CMAB) with general offline function approximation. Our algorithm is both efficient and achieves...

arXiv:2602.13706v1 Announce Type: new Abstract: We introduce \texttt{OPO-CMDP}, the first policy optimization algorithm for stochastic Contextual Markov Decision Process (CMDPs) under general offline function approximation. Our approach achieves a high probability regret bound of $\widetilde{O}(H^4\sqrt{T|S||A|\log(|\mathcal{F}||\mathcal{P}|)}),$ where $S$ and $A$ denote...

arXiv:2602.13710v1 Announce Type: new Abstract: Vision-Language-Action (VLA) models enable instruction-following embodied control, but their large compute and memory footprints hinder deployment on resource-constrained robots and edge platforms. While reducing weights to 1-bit precision through binarization can greatly improve efficiency, existing...

arXiv:2602.13783v1 Announce Type: new Abstract: While Time Series Foundation Models (TSFMs) have demonstrated exceptional performance in generalized forecasting, their performance often degrades significantly when deployed in real-world vertical domains characterized by temporal distribution shifts and domain-specific periodic structures. Current solutions...

arXiv:2602.13810v1 Announce Type: new Abstract: Learning expressive and efficient policy functions is a promising direction in reinforcement learning (RL). While flow-based policies have recently proven effective in modeling complex action distributions with a fast deterministic sampling process, they still face...

arXiv:2602.13848v1 Announce Type: new Abstract: We propose a sequential test for detecting arbitrary distribution shifts that allows conformal test martingales (CTMs) to work under a fixed, reference-conditional setting. Existing CTM detectors construct test martingales by continually growing a reference set...

arXiv:2602.13857v1 Announce Type: new Abstract: Tasks ranging from sleep staging to clinical diagnosis traditionally rely on standard polysomnography (PSG) devices, bedside monitors and wearable devices, which capture diverse nocturnal biosignals (e.g., EEG, EOG, ECG, SpO$_2$). However, heterogeneity across devices and...

This paper assumes that the mass and charge of a particle are independent of its speed relative to an observer. A particle of mass m and charge Q moving with its electrostatic field Eo at an angle 𝜽 to the...

An increasing number of jurisdictions have introduced legal bans on so-called ‘conversion therapy’ practices. Yet significant uncertainty and disagreement persist among legal scholars, policymakers and advocates about whether criminal law is an appropriate tool in this area and, if so,...

WB board officially recommends Netflix deal but asks Paramount to increase price.

As the AI hardware space heats up, the iPhone maker has multiple smart products in development.

Anthropic has released a new version of its midsized Sonnet model, keeping pace with the company's four-month update cycle.

Mistral AI has agreed to buy Koyeb, a Paris-based startup that simplifies AI app deployment at scale and manages the infrastructure behind it.

Mesh aims to mass-produce optical transceivers for AI data centers.

When we talk about the cost of AI infrastructure, the focus is usually on Nvidia and GPUs -- but memory is an increasingly important part of the picture.

The feature is designed to work inside the website to understand its content and layout, allowing site owners to make changes with natural language commands. The WordPress AI assistant doesn't need precisely tailored prompts, either.

Fire TV's new interface simplifies its layout and navigation and adds Alexa+.

India is ramping up shared AI compute, adding 20,000 GPUs as part of a broader push to attract global AI investment.

SpendRule, launched last summer, is an AI-powered platform that helps healthcare systems track their spending.

Indian vibe-coding platform Emergent was launched just eight months ago, and it now says it's generating annual recurring revenue of more than $100 million, thanks to surging demand by small businesses and non-technical users.

Adani's plan targets up to 5 gigawatts of capacity, with data centers planned alongside partnerships with Google, Microsoft, and Flipkart.

Under the partnership, Infosys plans to integrate Anthropic's Claude models into its Topaz AI platform to build so-called "agentic" systems.

Cohere's Tiny Aya models support over 70 langauges