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Anyone else following the drama behind the TurboQuant paper?

A few hours ago, the first author of a paper that played a significant role in the TQ paper posted about some ongoing issues: In May 2025...

Reddit - Artificial Intelligence · 1 min ·
There are more AI health tools than ever—but how well do they work? | MIT Technology Review
Llms

There are more AI health tools than ever—but how well do they work? | MIT Technology Review

Earlier this month, Microsoft launched Copilot Health, a new space within its Copilot app where users will be able to connect their medic...

MIT Technology Review · 11 min ·
ScaleOps raises $130M to improve computing efficiency amid AI demand | TechCrunch
Ai Infrastructure

ScaleOps raises $130M to improve computing efficiency amid AI demand | TechCrunch

ScaleOps just raised $130M to tackle GPU shortages and soaring AI cloud costs by automating infrastructure in real time.

TechCrunch - AI · 5 min ·

All Content

[2603.01270] VoxKnesset: A Large-Scale Longitudinal Hebrew Speech Dataset for Aging Speaker Modeling
Machine Learning

[2603.01270] VoxKnesset: A Large-Scale Longitudinal Hebrew Speech Dataset for Aging Speaker Modeling

Abstract page for arXiv paper 2603.01270: VoxKnesset: A Large-Scale Longitudinal Hebrew Speech Dataset for Aging Speaker Modeling

arXiv - Machine Learning · 3 min ·
[2509.13615] See, Think, Act: Teaching Multimodal Agents to Effectively Interact with GUI by Identifying Toggles
Data Science

[2509.13615] See, Think, Act: Teaching Multimodal Agents to Effectively Interact with GUI by Identifying Toggles

Abstract page for arXiv paper 2509.13615: See, Think, Act: Teaching Multimodal Agents to Effectively Interact with GUI by Identifying Tog...

arXiv - AI · 4 min ·
[2603.01213] Can AI Agents Agree?
Llms

[2603.01213] Can AI Agents Agree?

Abstract page for arXiv paper 2603.01213: Can AI Agents Agree?

arXiv - Machine Learning · 3 min ·
[2507.16145] SpiroLLM: Finetuning Pretrained LLMs to Understand Spirogram Time Series with Clinical Validation in COPD Reporting
Llms

[2507.16145] SpiroLLM: Finetuning Pretrained LLMs to Understand Spirogram Time Series with Clinical Validation in COPD Reporting

Abstract page for arXiv paper 2507.16145: SpiroLLM: Finetuning Pretrained LLMs to Understand Spirogram Time Series with Clinical Validati...

arXiv - AI · 4 min ·
[2603.00968] Learning with the Nash-Sutcliffe loss
Ai Startups

[2603.00968] Learning with the Nash-Sutcliffe loss

Abstract page for arXiv paper 2603.00968: Learning with the Nash-Sutcliffe loss

arXiv - Machine Learning · 4 min ·
[2603.00651] Exploring 3D Dataset Pruning
Machine Learning

[2603.00651] Exploring 3D Dataset Pruning

Abstract page for arXiv paper 2603.00651: Exploring 3D Dataset Pruning

arXiv - Machine Learning · 3 min ·
[2603.02024] MMR-Life: Piecing Together Real-life Scenes for Multimodal Multi-image Reasoning
Llms

[2603.02024] MMR-Life: Piecing Together Real-life Scenes for Multimodal Multi-image Reasoning

Abstract page for arXiv paper 2603.02024: MMR-Life: Piecing Together Real-life Scenes for Multimodal Multi-image Reasoning

arXiv - AI · 4 min ·
[2603.01966] AMemGym: Interactive Memory Benchmarking for Assistants in Long-Horizon Conversations
Llms

[2603.01966] AMemGym: Interactive Memory Benchmarking for Assistants in Long-Horizon Conversations

Abstract page for arXiv paper 2603.01966: AMemGym: Interactive Memory Benchmarking for Assistants in Long-Horizon Conversations

arXiv - AI · 3 min ·
[2603.00163] A Boundary-Metric Evaluation Protocol for Whiteboard Stroke Segmentation Under Extreme Imbalance
Nlp

[2603.00163] A Boundary-Metric Evaluation Protocol for Whiteboard Stroke Segmentation Under Extreme Imbalance

Abstract page for arXiv paper 2603.00163: A Boundary-Metric Evaluation Protocol for Whiteboard Stroke Segmentation Under Extreme Imbalance

arXiv - Machine Learning · 4 min ·
[2603.01945] When Numbers Tell Half the Story: Human-Metric Alignment in Topic Model Evaluation
Machine Learning

[2603.01945] When Numbers Tell Half the Story: Human-Metric Alignment in Topic Model Evaluation

Abstract page for arXiv paper 2603.01945: When Numbers Tell Half the Story: Human-Metric Alignment in Topic Model Evaluation

arXiv - Machine Learning · 4 min ·
[2603.00060] Learning Under Extreme Data Scarcity: Subject-Level Evaluation of Lightweight CNNs for fMRI-Based Prodromal Parkinsons Detection
Machine Learning

[2603.00060] Learning Under Extreme Data Scarcity: Subject-Level Evaluation of Lightweight CNNs for fMRI-Based Prodromal Parkinsons Detection

Abstract page for arXiv paper 2603.00060: Learning Under Extreme Data Scarcity: Subject-Level Evaluation of Lightweight CNNs for fMRI-Bas...

arXiv - Machine Learning · 4 min ·
[2603.02202] Frontier Models Can Take Actions at Low Probabilities
Machine Learning

[2603.02202] Frontier Models Can Take Actions at Low Probabilities

Abstract page for arXiv paper 2603.02202: Frontier Models Can Take Actions at Low Probabilities

arXiv - Machine Learning · 4 min ·
[2603.01625] Measuring What VLMs Don't Say: Validation Metrics Hide Clinical Terminology Erasure in Radiology Report Generation
Llms

[2603.01625] Measuring What VLMs Don't Say: Validation Metrics Hide Clinical Terminology Erasure in Radiology Report Generation

Abstract page for arXiv paper 2603.01625: Measuring What VLMs Don't Say: Validation Metrics Hide Clinical Terminology Erasure in Radiolog...

arXiv - AI · 4 min ·
[2603.01343] PanCanBench: A Comprehensive Benchmark for Evaluating Large Language Models in Pancreatic Oncology
Llms

[2603.01343] PanCanBench: A Comprehensive Benchmark for Evaluating Large Language Models in Pancreatic Oncology

Abstract page for arXiv paper 2603.01343: PanCanBench: A Comprehensive Benchmark for Evaluating Large Language Models in Pancreatic Oncology

arXiv - AI · 4 min ·
[2603.01655] Transform-Invariant Generative Ray Path Sampling for Efficient Radio Propagation Modeling
Machine Learning

[2603.01655] Transform-Invariant Generative Ray Path Sampling for Efficient Radio Propagation Modeling

Abstract page for arXiv paper 2603.01655: Transform-Invariant Generative Ray Path Sampling for Efficient Radio Propagation Modeling

arXiv - Machine Learning · 4 min ·
[2603.01591] FAST-DIPS: Adjoint-Free Analytic Steps and Hard-Constrained Likelihood Correction for Diffusion-Prior Inverse Problems
Machine Learning

[2603.01591] FAST-DIPS: Adjoint-Free Analytic Steps and Hard-Constrained Likelihood Correction for Diffusion-Prior Inverse Problems

Abstract page for arXiv paper 2603.01591: FAST-DIPS: Adjoint-Free Analytic Steps and Hard-Constrained Likelihood Correction for Diffusion...

arXiv - Machine Learning · 4 min ·
[2603.01589] SafeSci: Safety Evaluation of Large Language Models in Science Domains and Beyond
Llms

[2603.01589] SafeSci: Safety Evaluation of Large Language Models in Science Domains and Beyond

Abstract page for arXiv paper 2603.01589: SafeSci: Safety Evaluation of Large Language Models in Science Domains and Beyond

arXiv - Machine Learning · 4 min ·
[2603.01470] Randomized Kiring Believer for Parallel Bayesian Optimization with Regret Bounds
Ai Startups

[2603.01470] Randomized Kiring Believer for Parallel Bayesian Optimization with Regret Bounds

Abstract page for arXiv paper 2603.01470: Randomized Kiring Believer for Parallel Bayesian Optimization with Regret Bounds

arXiv - Machine Learning · 3 min ·
[2603.01367] DUEL: Exact Likelihood for Masked Diffusion via Deterministic Unmasking
Machine Learning

[2603.01367] DUEL: Exact Likelihood for Masked Diffusion via Deterministic Unmasking

Abstract page for arXiv paper 2603.01367: DUEL: Exact Likelihood for Masked Diffusion via Deterministic Unmasking

arXiv - Machine Learning · 4 min ·
[2603.01363] Fed-GAME: Personalized Federated Learning with Graph Attention Mixture-of-Experts For Time-Series Forecasting
Machine Learning

[2603.01363] Fed-GAME: Personalized Federated Learning with Graph Attention Mixture-of-Experts For Time-Series Forecasting

Abstract page for arXiv paper 2603.01363: Fed-GAME: Personalized Federated Learning with Graph Attention Mixture-of-Experts For Time-Seri...

arXiv - Machine Learning · 3 min ·
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Machine Learning Large Language Models Generative AI Natural Language Processing Computer Vision Robotics & Embodied AI

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