Latest in AI and developer tools

Today's trail

updated 7m ago

Pulse · pymnts.com

pymnts.com · Oct 30

New York Bill Would Raise AI Safety Regulations

One year after passing the landmark RAISE Act, a pair of New York lawmakers want the state to double down. State Sen. Andrew Gounardes of Brooklyn and

Pulse · finance.yahoo.com

finance.yahoo.com · Oct 30

Voice AI Agents Market Size, Share, Trends, and Industry Analysis - Global Forecast to 2036 | Market to Reach $43.83 Billion at 24% CAGR as Speech-to-Speech AI Scales ...

Maximize voice AI ROI by automating high-volume service calls, using scalable platforms, and pairing AI with human support, compliance, and QADublin, Oct. (GLOBE NEWSWIRE) -- "Voice AI Agents Market Size,

Pulse · manilatimes.net

manilatimes.net · Oct 30

IBS Proposes HK$563 Million Acquisition of AI Chip Enterprise

HONG KONG SAR - Media OutReach Newswire - 30 October 2026 - International Business Settlement Holdings Limited ('IBS' or the 'Company', together with its subsidiaries, the 'Group'; stock code: 0147.HK) entered into a Share Purchase Agreement with the shareholder of QuantumCompute Solutions Limited ('QuantumCompute Solutions') to acquire its entire equity interests for a consideration of HK$563 million.

Pulse

Top picks this weekarXiv

arXiv

Oct 29

Elucidating the Design Space of LM Data Attribution

Data attribution methods for Language Models (LMs) are typically evaluated using downstream tasks like fact retrieval. However, existing evaluations vary multiple dataset properties simultaneously, making it impossible to isolate exactly why an attribution algorithm fails. To diagnose these failures, we explore the design space of LLM data attribution, with a primary focus on evaluation. We introduce the Controlled Attribution Benchmark (CATT) for fact tracing, in which we fine-tune LLMs on entirely fictitious knowledge, providing unambiguous ground truth for attribution. This synthetic setup allows us to systematically alter one dataset configuration at a time, such as document redundancy and lexical distractors. With this configurable evaluation, we demonstrate that redundancy and distractors consistently degrade attribution performance. Rather than proposing a new estimator, we examine two design choices that are underexplored: the loss used to compute gradients and how per-token attribution scores are aggregated into a document score. We find that the true causal evidence within a training document is highly localized, but standard methods dilute this evidence into noise by…

Top picks

All arXiv Hugging Face GitHub Hacker News

Latest Top this week

arXiv

Sep 18

Reusing Latent Speech Representations for Query-Conditioned Topic Localization in Transcripts

Long transcripts are costly inputs for downstream NLP systems and often contain irrelevant context. We study query-conditioned topic localization: predicting the sentence span in a transcript that best addresses a topic-title query. To improve span localization, we reuse ASR…

arXiv

Sep 18

EnterpriseVal: Quantifying the Efficacy, Reliability and Value of Generative AI in the Enterprise

Frontier language models now produce professional deliverables that expert graders judge to match human work on a substantial share of economically valuable tasks, yet most enterprise GenAI initiatives fail to show a measurable business effect and a large fraction of agentic…

arXiv

Sep 18

Federated Deep Clustering Networks for High-Dimensional and Heterogeneous Data

Clustering high-dimensional data is a fundamental task in unsupervised machine learning with applications to a variety of domains. In the centralized data scenario, this task is commonly solved using deep clustering methods that utilize deep neural network architectures to…

arXiv

Sep 18

Touvigation: Embodied Adaptive Object Acquisition for Blind and Low-Vision Users in Unfamiliar Indoor Environments

Blind and low-vision users often face challenges when locating and physically acquiring objects in unfamiliar indoor environments. Existing vision-language-model-based assistants can provide semantic descriptions but may introduce latency, hallucinations, and guidance that is…

This week in Multimodal

This week

Get the morning digest

Today's trail

Pulse

Top picks

Today's trail

Rising tools

Most active this week

This week in Multimodal