Mapping global methane emissions from space with deep learning
Climate & Sustainability
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AI Research
Everything to know about Fable 5.1, Anthropic's new Claude model
Anthropic’s Claude Fable 5.1 cuts cache costs 75%, reduces safeguard interruptions, and targets long-running agent work across code, science, and enterprise.
How to Build a Business Website With AI
Use AI to plan, draft, design, launch, and improve a business website without starting from a blank page or pretending the robot can do strategy for you.
Best AI Video Editing Software for Creators in 2026
The best AI video editing software for creators, marketers, podcasters, and teams that need better videos with less timeline pain.
Your JSON Is Valid but Your Data Is Wrong: Five Failure Modes LLM Structured Outputs Won't Catch
Five failure modes that survive constrained decoding, and why your schema validator will never catch them. The post Your JSON Is Valid but Your Data Is Wrong: Five Failure Modes LLM Structured Outputs Won't Catch…
The 8 Best AI App Builders for Non-Coders to Use in 2026
A practical guide to the best AI app builders for non-coders, with use-case picks for prototypes, internal tools, client apps, chatbots, and business websites.
What We Miss About Missing Values
The hidden assumptions behind the data we observe. The post What We Miss About Missing Values appeared first on Towards Data Science.
Beyond Point Predictions: A Practical Introduction to Bayesian Neural Networks
More informed decision-making through uncertainty quantification The post Beyond Point Predictions: A Practical Introduction to Bayesian Neural Networks appeared first on Towards Data Science.
5 AI Skills That Will Keep Data Scientists Relevant in 2027
What each one solves, and runnable code you can paste into a notebook. The post 5 AI Skills That Will Keep Data Scientists Relevant in 2027 appeared first on Towards Data Science.
😺 Runway Solaris treats software like video
Estimating Population-Risk Curves Along Nonconvex Gradient Flows from the Training Sample
arXiv:2608.30261v1 Announce Type: cross Abstract: We estimate the conditional population-risk curve of a realized smooth nonconvex gradient flow from the training sample. Flow approximate leave-one-out (Flow-ALO)…
A-MADiff: Attention-Guided Multi-Agent DRL with Diffusion Policies for Memory-Aware Task Orchestration in Mobile AIGC Networks
arXiv:2608.29255v1 Announce Type: cross Abstract: Artificial Intelligence-Generated Content (AIGC) services employ Generative AI (GenAI) models to automatically generate diverse content. Mobile AIGC networks host GenAI…
Spectral Analysis for Sparse Matrix Computation: Insights and Potential
arXiv:2608.29362v1 Announce Type: cross Abstract: Sparse computations are fundamental to scientific computing, graph analytics, and machine learning, yet their performance is highly sensitive to the diverse sparsity and…
Multi-Marginal Flow Matching with Adversarially Learnt Interpolants
arXiv:2510.01159v3 Announce Type: replace Abstract: Learning the dynamics of a process given sampled observations at several time points is an important but difficult task in many scientific applications. When no…
Dec-BFTRL: Squre-Root Regret for Decentralized Online Upper-Linearizable Optimization under Separation Access with Application to Continuous Submodular Maximization
arXiv:2608.30271v1 Announce Type: cross Abstract: We study decentralized online optimization of upper-linearizable payoffs over an action set under efficient separation access, with applications to online continuous…
Error Detection for PET/CT Radiology Reports: Domain-Specific vs Large Language Models
arXiv:2608.30021v1 Announce Type: new Abstract: Errors in radiology reports can adversely affect patient treatment, yet automated report quality assurance remains challenging because errors are often subtle and require…
Watch your steps: Dormant Adversarial Behaviors that Activate upon LLM Finetuning
arXiv:2505.16567v4 Announce Type: replace Abstract: Finetuning open-weight Large Language Models (LLMs) is standard practice for achieving task-specific performance improvements. Until now, finetuning has been regarded…
A Model with No Head and Many Thoughts
arXiv:2608.31069v1 Announce Type: new Abstract: Large language models decode by projecting hidden states through a large vocabulary head at every step. This operation is computationally costly and forces all reasoning…
Quantum-Grassmann-Plucker Token Mixing for Deep Learning-Based Post-Disaster Damage Assessment
arXiv:2608.30633v1 Announce Type: cross Abstract: Timely post-disaster building damage assessment from satellite imagery is a critical engineering decision support task, yet it remains constrained by class imbalance,…
Language-Informed Flow Matching for Trend-Guided Structure-Based 3D Molecular Generation
arXiv:2608.31009v1 Announce Type: new Abstract: Structure-based drug design (SBDD) requires ligands that satisfy both 3D target affinity and 1D chemical validity. Existing controllable generation methods often rely on…
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