AI/ML arXiv cs.AI

CLIR-Bench: Benchmarking Multimodal Question Answering over Irregular Clinical Time Series

CLIR-Bench is introduced to evaluate multimodal question answering over irregular and sparse clinical time series data from ICU records.

AI/ML Hacker News

Tensor Is the Might

A discussion on Hacker News regarding the 'Tensor Is the Might' topic, though the provided snippet contains only comments.

Other Hacker News

Kids (With Phones) Are Alright

A Hacker News thread discussing the impact of smartphones on children.

AI/ML Hacker News

Proof of Care in the Age of A.I

A Hacker News discussion exploring the concept of 'Proof of Care' in the context of artificial intelligence.

Software Engineering Hacker News

Differentiable Fortran with LFortran and Enzyme

A technical discussion on implementing differentiable Fortran using LFortran and Enzyme.

Other The Verge

EverQuest’s biggest fans are leading its revival

EverQuest fans are leading a revival of the classic MMORPG with the upcoming release of EverQuest Legends.

Tech Business/VC VentureBeat

1Password moves into AI cost management, betting that token spend is the next enterprise budget crisis

1Password introduces AI Spend and Consumption Management to help enterprises track and manage token costs from providers like OpenAI and Anthropic.

AI/ML VentureBeat

Canva launches Code 2.0, offering AI website building to every user — including free accounts

Canva launches Code 2.0, enabling non-technical users to create interactive websites and apps via AI prompts with enhanced design editing tools.

AI/ML arXiv cs.AI

A Unified Model for Highly Accurate ECG-Free Dynamic Coronary Roadmapping Using Spatio-Temporal Transformers

Researchers propose a unified DRM framework using spatio-temporal transformers to improve coronary roadmapping without requiring ECGs.

AI/ML arXiv cs.AI

An Autonomous Scientific Knowledge Generation Framework for AI-Driven Scientific Discovery

A new framework for autonomously transforming unstructured scientific publications into AI-ready structured knowledge bases for scientific discovery.

AI/ML arXiv cs.AI

TS-Mask VLA: 2D Temporal-Spatial Masking for Vision-Language-Action Model with Effective Bridging

TS-Mask VLA introduces a 2D temporal-spatial masking strategy and a Discrete Diffusion Action Expert to improve robot manipulation in VLA models.

Software Engineering Hacker News

Beautiful Type Erasure with C++26 Reflection

Discussion on using C++26 reflection capabilities to implement clean and efficient type erasure.

AI/ML Hacker News

Show HN: I RL-trained an agent that trains models with RL (for –$1.3k)

A developer shared an RL-trained agent designed to train other models using reinforcement learning, costing approximately $1.3k in compute.

AI/ML Hacker News

Coding agents think ahead of time

An exploration of how coding agents use 'look-ahead' or thinking-ahead mechanisms to improve software generation.

AI/ML arXiv cs.AI

Listen to the Features: Voice Anonymization Driven by Content Embedding Matching over Signal Reconstruction

Research presenting a voice anonymization model that preserves content and emotion by matching embeddings rather than reconstructing signal waveforms.

AI/ML arXiv cs.AI

Maximizing Human Efficiency in Large-Scale Robot Post-Training via VLAC-Cut Guided Pipeline

A new pipeline and the VLAC-CUT tool designed to maximize human efficiency in the post-training of large-scale robot Vision Language Action (VLA) models.

AI/ML arXiv cs.AI

Lifelong Representations: A Survey on Continual Self-Supervised Learning for Vision Models

A comprehensive survey on Continual Self-Supervised Learning (CSSL) for vision models, focusing on avoiding catastrophic forgetting in unlabeled data streams.

AI/ML arXiv cs.AI

A Comprehensive Survey and Systematic Real-World Evaluation of Embodied Vision-and-Language Navigation

A survey and real-world evaluation of Embodied Vision-and-Language Navigation (VLN), highlighting a performance gap between simulation and reality.

AI/ML arXiv cs.AI

Large Multimodal Model-Based Environment-Aware Mobility Management

Proposal of an environment-aware mobility management scheme for 6G networks using Large Multimodal Models (LMMs) to predict channel capacity.

AI/ML arXiv cs.AI

JEPA for AI-Native 6G: Predictive Representations and Open Challenges

A tutorial on applying Joint-embedding predictive architecture (JEPA) to AI-native 6G networks for predictive representations of wireless data.