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...
AI startup funding, launches, and acquisitions
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...
Earlier this month, Microsoft launched Copilot Health, a new space within its Copilot app where users will be able to connect their medic...
ScaleOps just raised $130M to tackle GPU shortages and soaring AI cloud costs by automating infrastructure in real time.
Abstract page for arXiv paper 2603.00070: Certainty-Validity: A Diagnostic Framework for Discrete Commitment Systems
Abstract page for arXiv paper 2603.00067: A Representation-Consistent Gated Recurrent Framework for Robust Medical Time-Series Classifica...
Abstract page for arXiv paper 2603.00194: SKeDA: A Generative Watermarking Framework for Text-to-video Diffusion Models
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Abstract page for arXiv paper 2603.00164: Reverse CAPTCHA: Evaluating LLM Susceptibility to Invisible Unicode Instruction Injection
Abstract page for arXiv paper 2603.00159: FlowPortrait: Reinforcement Learning for Audio-Driven Portrait Video Generation
Abstract page for arXiv paper 2603.00137: MAML-KT: Addressing Cold Start Problem in Knowledge Tracing for New Students via Few-Shot Model...
Abstract page for arXiv paper 2603.00124: OrthoAI: A Lightweight Deep Learning Framework for Automated Biomechanical Analysis in Clear Al...
Abstract page for arXiv paper 2603.00115: Multimodal Modular Chain of Thoughts in Energy Performance Certificate Assessment
Abstract page for arXiv paper 2603.00099: SEval-NAS: A Search-Agnostic Evaluation for Neural Architecture Search
Abstract page for arXiv paper 2603.00077: Autorubric: A Unified Framework for Rubric-Based LLM Evaluation
Abstract page for arXiv paper 2603.00063: Measuring What AI Systems Might Do: Towards A Measurement Science in AI
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Abstract page for arXiv paper 2603.00041: Econometric vs. Causal Structure-Learning for Time-Series Policy Decisions: Evidence from the U...
Abstract page for arXiv paper 2603.00039: CARE: Confounder-Aware Aggregation for Reliable LLM Evaluation
Abstract page for arXiv paper 2603.00037: StaTS: Spectral Trajectory Schedule Learning for Adaptive Time Series Forecasting with Frequenc...
Abstract page for arXiv paper 2603.00024: Personalization Increases Affective Alignment but Has Role-Dependent Effects on Epistemic Indep...
Abstract page for arXiv paper 2603.00016: Beyond Static Instruction: A Multi-agent AI Framework for Adaptive Augmented Reality Robot Trai...
Abstract page for arXiv paper 2603.02029: Rich Insights from Cheap Signals: Efficient Evaluations via Tensor Factorization
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