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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

[2603.01348] UTICA: Multi-Objective Self-Distllation Foundation Model Pretraining for Time Series Classification
Llms

[2603.01348] UTICA: Multi-Objective Self-Distllation Foundation Model Pretraining for Time Series Classification

Abstract page for arXiv paper 2603.01348: UTICA: Multi-Objective Self-Distllation Foundation Model Pretraining for Time Series Classifica...

arXiv - Machine Learning · 3 min ·
[2603.01042] Thoth: Mid-Training Bridges LLMs to Time Series Understanding
Llms

[2603.01042] Thoth: Mid-Training Bridges LLMs to Time Series Understanding

Abstract page for arXiv paper 2603.01042: Thoth: Mid-Training Bridges LLMs to Time Series Understanding

arXiv - Machine Learning · 4 min ·
[2603.01260] MOSAIC: A Unified Platform for Cross-Paradigm Comparison and Evaluation of Homogeneous and Heterogeneous Multi-Agent RL, LLM, VLM, and Human Decision-Makers
Llms

[2603.01260] MOSAIC: A Unified Platform for Cross-Paradigm Comparison and Evaluation of Homogeneous and Heterogeneous Multi-Agent RL, LLM, VLM, and Human Decision-Makers

Abstract page for arXiv paper 2603.01260: MOSAIC: A Unified Platform for Cross-Paradigm Comparison and Evaluation of Homogeneous and Hete...

arXiv - Machine Learning · 4 min ·
[2603.01024] SimAB: Simulating A/B Tests with Persona-Conditioned AI Agents for Rapid Design Evaluation
Ai Infrastructure

[2603.01024] SimAB: Simulating A/B Tests with Persona-Conditioned AI Agents for Rapid Design Evaluation

Abstract page for arXiv paper 2603.01024: SimAB: Simulating A/B Tests with Persona-Conditioned AI Agents for Rapid Design Evaluation

arXiv - AI · 4 min ·
[2603.01023] An Open-Source Modular Benchmark for Diffusion-Based Motion Planning in Closed-Loop Autonomous Driving
Generative Ai

[2603.01023] An Open-Source Modular Benchmark for Diffusion-Based Motion Planning in Closed-Loop Autonomous Driving

Abstract page for arXiv paper 2603.01023: An Open-Source Modular Benchmark for Diffusion-Based Motion Planning in Closed-Loop Autonomous ...

arXiv - AI · 4 min ·
[2603.00992] Compensation-free Machine Unlearning in Text-to-Image Diffusion Models by Eliminating the Mutual Information
Machine Learning

[2603.00992] Compensation-free Machine Unlearning in Text-to-Image Diffusion Models by Eliminating the Mutual Information

Abstract page for arXiv paper 2603.00992: Compensation-free Machine Unlearning in Text-to-Image Diffusion Models by Eliminating the Mutua...

arXiv - Machine Learning · 4 min ·
[2603.00889] CHIMERA: Compact Synthetic Data for Generalizable LLM Reasoning
Llms

[2603.00889] CHIMERA: Compact Synthetic Data for Generalizable LLM Reasoning

Abstract page for arXiv paper 2603.00889: CHIMERA: Compact Synthetic Data for Generalizable LLM Reasoning

arXiv - AI · 4 min ·
[2603.00951] When Does Margin Clamping Affect Training Variance? Dataset-Dependent Effects in Contrastive Forward-Forward Learning
Machine Learning

[2603.00951] When Does Margin Clamping Affect Training Variance? Dataset-Dependent Effects in Contrastive Forward-Forward Learning

Abstract page for arXiv paper 2603.00951: When Does Margin Clamping Affect Training Variance? Dataset-Dependent Effects in Contrastive Fo...

arXiv - Machine Learning · 4 min ·
[2603.00823] A Comprehensive Evaluation of LLM Unlearning Robustness under Multi-Turn Interaction
Llms

[2603.00823] A Comprehensive Evaluation of LLM Unlearning Robustness under Multi-Turn Interaction

Abstract page for arXiv paper 2603.00823: A Comprehensive Evaluation of LLM Unlearning Robustness under Multi-Turn Interaction

arXiv - AI · 3 min ·
[2603.00855] Navigating Time's Possibilities: Plausible Counterfactual Explanations for Multivariate Time-Series Forecast through Genetic Algorithms
Machine Learning

[2603.00855] Navigating Time's Possibilities: Plausible Counterfactual Explanations for Multivariate Time-Series Forecast through Genetic Algorithms

Abstract page for arXiv paper 2603.00855: Navigating Time's Possibilities: Plausible Counterfactual Explanations for Multivariate Time-Se...

arXiv - Machine Learning · 4 min ·
[2603.00610] CMI-RewardBench: Evaluating Music Reward Models with Compositional Multimodal Instruction
Machine Learning

[2603.00610] CMI-RewardBench: Evaluating Music Reward Models with Compositional Multimodal Instruction

Abstract page for arXiv paper 2603.00610: CMI-RewardBench: Evaluating Music Reward Models with Compositional Multimodal Instruction

arXiv - AI · 4 min ·
[2603.00636] Retrodictive Forecasting: A Proof-of-Concept for Exploiting Temporal Asymmetry in Time Series Prediction
Machine Learning

[2603.00636] Retrodictive Forecasting: A Proof-of-Concept for Exploiting Temporal Asymmetry in Time Series Prediction

Abstract page for arXiv paper 2603.00636: Retrodictive Forecasting: A Proof-of-Concept for Exploiting Temporal Asymmetry in Time Series P...

arXiv - Machine Learning · 4 min ·
[2603.00629] Adapt Data to Model: Adaptive Transformation Optimization for Domain-shared Time Series Foundation Models
Llms

[2603.00629] Adapt Data to Model: Adaptive Transformation Optimization for Domain-shared Time Series Foundation Models

Abstract page for arXiv paper 2603.00629: Adapt Data to Model: Adaptive Transformation Optimization for Domain-shared Time Series Foundat...

arXiv - Machine Learning · 4 min ·
[2603.00587] Unlearning Evaluation through Subset Statistical Independence
Machine Learning

[2603.00587] Unlearning Evaluation through Subset Statistical Independence

Abstract page for arXiv paper 2603.00587: Unlearning Evaluation through Subset Statistical Independence

arXiv - Machine Learning · 3 min ·
[2603.00502] Trinity: A Scenario-Aware Recommendation Framework for Large-Scale Cold-Start Users
Machine Learning

[2603.00502] Trinity: A Scenario-Aware Recommendation Framework for Large-Scale Cold-Start Users

Abstract page for arXiv paper 2603.00502: Trinity: A Scenario-Aware Recommendation Framework for Large-Scale Cold-Start Users

arXiv - Machine Learning · 3 min ·
[2603.00478] Benchmarking Few-shot Transferability of Pre-trained Models with Improved Evaluation Protocols
Machine Learning

[2603.00478] Benchmarking Few-shot Transferability of Pre-trained Models with Improved Evaluation Protocols

Abstract page for arXiv paper 2603.00478: Benchmarking Few-shot Transferability of Pre-trained Models with Improved Evaluation Protocols

arXiv - Machine Learning · 4 min ·
[2603.00429] Personalities at Play: Probing Alignment in AI Teammates
Llms

[2603.00429] Personalities at Play: Probing Alignment in AI Teammates

Abstract page for arXiv paper 2603.00429: Personalities at Play: Probing Alignment in AI Teammates

arXiv - AI · 4 min ·
[2603.00342] Challenges in Enabling Private Data Valuation
Machine Learning

[2603.00342] Challenges in Enabling Private Data Valuation

Abstract page for arXiv paper 2603.00342: Challenges in Enabling Private Data Valuation

arXiv - Machine Learning · 4 min ·
[2603.00314] When Metrics Disagree: Automatic Similarity vs. LLM-as-a-Judge for Clinical Dialogue Evaluation
Llms

[2603.00314] When Metrics Disagree: Automatic Similarity vs. LLM-as-a-Judge for Clinical Dialogue Evaluation

Abstract page for arXiv paper 2603.00314: When Metrics Disagree: Automatic Similarity vs. LLM-as-a-Judge for Clinical Dialogue Evaluation

arXiv - AI · 4 min ·
[2603.00217] Physical Evaluation of Naturalistic Adversarial Patches for Camera-Based Traffic-Sign Detection
Robotics

[2603.00217] Physical Evaluation of Naturalistic Adversarial Patches for Camera-Based Traffic-Sign Detection

Abstract page for arXiv paper 2603.00217: Physical Evaluation of Naturalistic Adversarial Patches for Camera-Based Traffic-Sign Detection

arXiv - AI · 4 min ·
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