The New York Legislature is restricting AI data center construction. The record does not specify whether the measure is enacted or still pending.
The article reports that China has issued new AI governance rules covering the insurance and banking sectors. The specific instrument and effective date are not provided in the record.
Akron school board approved a new AI policy. This is a formal action by a local education authority, but details are not provided in the record.
Ambiguous signal — the record claims a “new AI regulation move” involving a Chinese e-commerce platform, but provides no official instrument, agency, or publication details to confirm whether this is a binding regulation, guidance, or enforcement action.
While specialized Medical Vision-Language Models (VLMs) have achieved remarkable success in interpreting 2D and 3D medical modalities, their deployment for 3D volumetric data remains constrained by significant computational inefficiencies. Current architectures typically suffer from massive anatomical redundancy due to the direct concatenation of consecutive 2D slices and lack the flexibility to h
Meta-learning aims to uniformly sample homogeneous support-query pairs, characterized by the same categories and similar attributes, and extract useful inductive biases through identical network architectures. However, this identical network design results in over-semantic homogenization. To address this, we propose a novel homologous but heterogeneous network. By treating support-query pairs as d
Efficient sampling of molecular systems at thermodynamic equilibrium is a hallmark challenge in statistical physics. This challenge has driven the development of Boltzmann Generators (BGs), which allow rapid generation of uncorrelated equilibrium samples by combining a generative model with exact likelihoods and an importance sampling correction. However, modern BGs predominantly rely on normalizi
Short-term forecasting of vegetation dynamics is a key enabler for data-driven decision support in precision agriculture. Normalized Difference Vegetation Index (NDVI) forecasting from satellite observations, however, remains challenging due to sparse and irregular sampling caused by cloud masking, as well as the heterogeneous climatic conditions under which crops evolve. In this work, we propose
Money laundering poses severe risks to global financial systems, driving the widespread adoption of machine learning for transaction monitoring. However, progress remains stifled by the lack of realistic benchmarks. Existing transaction-graph datasets suffer from two pervasive limitations: (i) they provide sparse node-level semantics beyond anonymized identifiers, and (ii) they rely on template-dr
Capital remains concentrated in a small number of very large transactions, with public-market and debt financing dominating the cycle. That pattern signals continued appetite for infrastructure and hardware-linked exposure over scattered early-stage bets.
Capital remains concentrated in a small number of very large transactions, with public-market and debt financing dominating the cycle. That pattern signals continued appetite for infrastructure and hardware-linked exposure over scattered early-stage bets.
Capital remains concentrated in a small number of very large transactions, with public-market and debt financing dominating the cycle. That pattern signals continued appetite for infrastructure and hardware-linked exposure over scattered early-stage bets.
The talent moves are modest but directional: one hire and a new founding team show continued formation at the edges of the market. The signal today is less about marquee departures than about fresh teams assembling around new products.
The talent moves are modest but directional: one hire and a new founding team show continued formation at the edges of the market. The signal today is less about marquee departures than about fresh teams assembling around new products.
The talent moves are modest but directional: one hire and a new founding team show continued formation at the edges of the market. The signal today is less about marquee departures than about fresh teams assembling around new products.
Benchmark activity is limited to a single model’s scores across three tasks, which keeps the focus on coverage rather than leaderboard churn. The main value is the evaluation surface itself: general reasoning, math, and knowledge all moved together.
Benchmark activity is limited to a single model’s scores across three tasks, which keeps the focus on coverage rather than leaderboard churn. The main value is the evaluation surface itself: general reasoning, math, and knowledge all moved together.
Benchmark activity is limited to a single model’s scores across three tasks, which keeps the focus on coverage rather than leaderboard churn. The main value is the evaluation surface itself: general reasoning, math, and knowledge all moved together.