AI Research

How Diffusion Controller unifies and simplifies AI image generation

Algorithms & Theory

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I Compacted 1,000 Apache Iceberg Files Into 6. Here’s What Happened to Query Performance.

Benchmarking the impact of fewer, larger files across three SQL workloads The post I Compacted 1,000 Apache Iceberg Files Into 6. Here’s What Happened to Query Performance. appeared first on Towards Data Science.

GPT-6 Astra Helped Find a Fusion Math Breakthrough. Here’s What It Proves.

Two independent papers found three families of plasma equilibria long thought unlikely to exist. One researcher credits GPT-6 Astra Pro with helping discover two of them. Here’s what the results prove and what they mean…

When All You Have Are Decoders, Every Decision Looks Like Generation

Not every decision needs a decoder, generation Is not always a decision The post When All You Have Are Decoders, Every Decision Looks Like Generation appeared first on Towards Data Science.

AI Made Data Scientists Faster. Now It’s Expanding the Job.

The real shift is bigger than productivity: AI is reshaping ownership, judgment, and the career path of data scientists. The post AI Made Data Scientists Faster. Now It’s Expanding the Job. appeared first on Towards…

AI Models Can Teach Each Other Skills Without Talking About Them?

A coding-trained AI leaves subtle traces of what it learned even when choosing ordinary words. New research shows another model can learn from those traces and emerge better at coding without ever seeing the teacher’s…

How to Design Architectural Guardrails Around AI Agents

Agent design patterns every data engineer must know The post How to Design Architectural Guardrails Around AI Agents appeared first on Towards Data Science.

Building Fair Evaluation Sets Is a Combinatorial Problem

Here’s how to solve it exactly. The post Building Fair Evaluation Sets Is a Combinatorial Problem appeared first on Towards Data Science.

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Claude Sonnet 5.5 vs GPT-6 Astra: where Sonnet (surprisingly) wins

Anthropic’s newest workhorse model beats GPT-6 Astra on some agentic coding and professional-work benchmarks while charging one-fifth as much per token.

OpenAI Stopped GPT-6.1 Astra. Who Checks the Safety Gate?

OpenAI’s decision to withhold GPT-6.1 Astra shows an internal safety process can stop a model from shipping.

The AI Labs Want Oversight. They Also Control the Evidence.

Anthropic says Claude now leads 26% of its measured AI R&D work, while OpenAI has reached its “automated research intern” milestone. But neither proves AI is caught in a runaway self-improvement loop. The harder…

Neural Bridge Processes

arXiv:2508.07220v4 Announce Type: replace Abstract: Learning stochastic functions from partially observed context-target pairs requires models that are expressive, uncertainty-aware, and strongly conditioned on inputs.…

Tight Stochastic Condition-Number Dependence in Nonconvex-Strongly-Concave Minimax Optimization

arXiv:2609.30877v1 Announce Type: cross Abstract: We study whether the linear condition-number dependence in the stochastic complexity of SAPD+ is necessary for nonconvex-strongly-concave minimax optimization. For…

Bayesian Tensor Autoencoder with Physics-informed Predictive Prior for Multi-dimensional Time Series Anomaly Detection

arXiv:2609.31157v1 Announce Type: new Abstract: Multi-dimensional time series, inherently tensorial, are common in practice. Despite great progress in time series anomaly detection, most existing methods are confined to…

Demo: Generative AI helps Radiotherapy Planning with User Preference

arXiv:2512.08996v2 Announce Type: replace-cross Abstract: Radiotherapy planning is a highly complex process that often varies significantly across institutions and individual planners. Most existing deep learning…

Regularizing modality contribution drift in multimodal continual learning

arXiv:2607.27260v2 Announce Type: replace Abstract: Multimodal continual learning (MMCL) aims to acquire new knowledge from multimodal data while retaining previously learned knowledge. Existing MMCL methods primarily…

AYLA: Architecting a loss landscape in shallow neural networks to accelerate feature recovery

arXiv:2504.01875v4 Announce Type: replace Abstract: Feature learning in shallow neural networks exhibits rich yet fragile dynamics, including prolonged plateaus, abrupt phase transitions, and sensitivity to optimization…

Neural Parameter Estimation of RC Thermal Building Models for Model Predictive Control

arXiv:2604.05904v2 Announce Type: replace-cross Abstract: Gray-box RC models are widely used to enable energy-efficient model predictive control (MPC) in buildings. However, estimating RC parameters remains difficult,…