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Today Tesla FSD is ~9x safer than humans Soon, FSD will be 1000x safer and driving manually will be considered dangerous Every Tesla on the …

Today Tesla FSD is ~9x safer than humans Soon, FSD will be 1000x safer and driving manually will be considered dangerous Every Tesla on the road feeds real-world data back to train the AI. Billions of

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11 Apr 2026

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A comparative analysis of machine learning models in SHAP analysis

DGX agent

arXiv:2604.07258v1 Announce Type: new Abstract: In this growing age of data and technology, large black-box models are becoming the norm due to their ability to handle vast amounts of data and learn i

tutorialsarxiv-cs-lg

10 Apr 2026

A Severity-Based Curriculum Learning Strategy for Arabic Medical Text Generation

arXiv:2604.06365v1 Announce Type: cross Abstract: Arabic medical text generation is increasingly needed to help users interpret symptoms and access general health guidance in their native language. Ne

Adversarial Flow Models

arXiv:2511.22475v2 Announce Type: replace-cross Abstract: We present adversarial flow models, a class of generative models that belongs to both the adversarial and flow families. Our method supports n

AI fundamentals

OpenAI Academy is a free, publicly accessible learning hub created by OpenAI to democratize AI knowledge, offering tutorials, workshops, and digital content ranging from foundational AI literacy to...

Amortized Filtering and Smoothing with Conditional Normalizing Flows

arXiv:2604.07169v1 Announce Type: cross Abstract: Bayesian filtering and smoothing for high-dimensional nonlinear dynamical systems are fundamental yet challenging problems in many areas of science an

Analyzing data with ChatGPT

The OpenAI Academy 'Analyzing Data with ChatGPT' tutorial teaches users how to perform data analysis using plain-language prompts, without requiring advanced technical skills — ChatGPT handles task...

Analyzing Multimodal Interaction Strategies for LLM-Assisted Manipulation of 3D Scenes

arXiv:2410.22177v2 Announce Type: replace-cross Abstract: As more applications of large language models (LLMs) for 3D content for immersive environments emerge, it is crucial to study user behaviour t

Attribution-Driven Explainable Intrusion Detection with Encoder-Based Large Language Models

arXiv:2604.06266v1 Announce Type: cross Abstract: Software-Defined Networking (SDN) improves network flexibility but also increases the need for reliable and interpretable intrusion detection. Large L

BADiff: Bandwidth Adaptive Diffusion Model

arXiv:2510.21366v3 Announce Type: replace Abstract: In this work, we propose a novel framework to enable diffusion models to adapt their generation quality based on real-time network bandwidth constra

Balanced Diffusion-Guided Fusion for Multimodal Remote Sensing Classification

arXiv:2509.23310v3 Announce Type: replace Abstract: Deep learning-based techniques for the analysis of multimodal remote sensing data have become popular due to their ability to effectively integrate

Brainstorming with ChatGPT

The OpenAI Academy 'Brainstorming with ChatGPT' tutorial is part of OpenAI Academy's library of tutorials and resources designed to help users leverage ChatGPT for idea generation and creative prob...

ChatGPT for customer success teams

The OpenAI Academy tutorial 'ChatGPT for Customer Success Teams' covers how ChatGPT supports core customer success functions, including accelerating research, drafting communications, organizing qu...

ChatGPT for finance teams

The OpenAI Academy's 'ChatGPT for Finance Teams' tutorial teaches finance professionals how to leverage ChatGPT to streamline reporting, analyze data, improve forecasts, and communicate insights mo...

ChatGPT for managers

'ChatGPT for Managers' is a resource on OpenAI Academy offering a curated set of manager-focused prompts designed to streamline team leadership tasks, including setting strategic goals, drafting fe...

ChatGPT for marketing teams

The OpenAI Academy's 'ChatGPT for Marketing Teams' tutorial provides marketing and brand teams with prompts and use-case guidance to streamline strategy, content creation, and performance analysis,...

ChatGPT for operations teams

The OpenAI Academy tutorial 'ChatGPT for Operations Teams' teaches operations professionals how to use ChatGPT to streamline workflows, improve coordination, standardize processes, and drive faster...

ChatGPT for research

The OpenAI Academy 'ChatGPT for Research' tutorial teaches users how to leverage ChatGPT's research capabilities — including Web Search and Deep Research mode — to find live data, synthesize source...

ChatGPT for sales teams

The OpenAI Academy's 'ChatGPT for Sales Teams' resource provides sales-focused prompts and use cases designed to streamline outreach, strategy, competitive intelligence, data analysis, and visual e...

Conditional flow matching for physics-constrained inverse problems with finite training data

arXiv:2603.14135v3 Announce Type: replace-cross Abstract: This study presents a conditional flow matching framework for solving physics-constrained Bayesian inverse problems. In this setting, samples

Coordinate-Based Dual-Constrained Autoregressive Motion Generation

arXiv:2604.08088v1 Announce Type: new Abstract: Text-to-motion generation has attracted increasing attention in the research community recently, with potential applications in animation, virtual reali

Creating images with ChatGPT

ChatGPT can generate images directly within a conversation by typing a descriptive prompt or selecting the 'Create image' option from the toolbar, with the quality of results depending on how clear...

Cross-Modal Emotion Transfer for Emotion Editing in Talking Face Video

arXiv:2604.07786v1 Announce Type: new Abstract: Talking face generation has gained significant attention as a core application of generative models. To enhance the expressiveness and realism of synthe

DiffSketcher: Text Guided Vector Sketch Synthesis through Latent Diffusion Models

arXiv:2306.14685v5 Announce Type: replace-cross Abstract: We demonstrate that pre-trained text-to-image diffusion models, despite being trained on raster images, possess a remarkable capacity to guide

Diffusion Processes on Implicit Manifolds

arXiv:2604.07213v1 Announce Type: new Abstract: High-dimensional data are often modeled as lying near a low-dimensional manifold. We study how to construct diffusion processes on this data manifold in

'Don't Be Afraid, Just Learn': Insights from Industry Practitioners to Prepare Software Engineers in the Age of Generative AI

arXiv:2604.06342v1 Announce Type: cross Abstract: Although tension between university curricula and industry expectations has existed in some form for decades, the rapid integration of generative AI (

Don't Label Twice: Quantity Beats Quality when Comparing Binary Classifiers on a Budget

arXiv:2402.02249v3 Announce Type: replace Abstract: We study how to best spend a budget of noisy labels to compare the accuracy of two binary classifiers. It's common practice to collect and aggregate

ELC: Evidential Lifelong Classifier for Uncertainty Aware Radar Pulse Classification

arXiv:2604.06958v1 Announce Type: cross Abstract: Reliable radar pulse classification is essential in Electromagnetic Warfare for situational awareness and decision support. Deep Neural Networks have

Energy-based Tissue Manifolds for Longitudinal Multiparametric MRI Analysis

arXiv:2604.07180v1 Announce Type: cross Abstract: We propose a geometric framework for longitudinal multi-parametric MRI analysis based on patient-specific energy modelling in sequence space. Rather t

EPIR: An Efficient Patch Tokenization, Integration and Representation Framework for Micro-expression Recognition

arXiv:2604.08106v1 Announce Type: new Abstract: Micro-expression recognition can obtain the real emotion of the individual at the current moment. Although deep learning-based methods, especially Trans

EventWeave: A Dynamic Framework for Capturing Core and Supporting Events in Dialogue Systems

arXiv:2503.23078v3 Announce Type: replace Abstract: Large language models have improved dialogue systems, but often process conversational turns in isolation, overlooking the event structures that gui

tutorialsarxiv-cs-cl

ExplainFuzz: Explainable and Constraint-Conditioned Test Generation with Probabilistic Circuits

arXiv:2604.06559v1 Announce Type: cross Abstract: Understanding and explaining the structure of generated test inputs is essential for effective software testing and debugging. Existing approaches--in

Exploring Temporal Representation in Neural Processes for Multimodal Action Prediction

arXiv:2604.08418v1 Announce Type: new Abstract: Inspired by the human ability to understand and predict others, we study the applicability of Conditional Neural Processes (CNP) to the task of self-sup

tutorialsarxiv-cs-ro

Face2Scene: Using Facial Degradation as an Oracle for Diffusion-Based Scene Restoration

arXiv:2603.16570v2 Announce Type: replace Abstract: Recent advances in image restoration have enabled high-fidelity recovery of faces from degraded inputs using reference-based face restoration models

Few-Shot Incremental 3D Object Detection in Dynamic Indoor Environments

arXiv:2604.07997v1 Announce Type: new Abstract: Incremental 3D object perception is a critical step toward embodied intelligence in dynamic indoor environments. However, existing incremental 3D detect

Generalization Under Scrutiny: Cross-Domain Detection Progresses, Pitfalls, and Persistent Challenges

arXiv:2604.08230v1 Announce Type: new Abstract: Object detection models trained on a source domain often exhibit significant performance degradation when deployed in unseen target domains, due to vari

Getting started with ChatGPT

OpenAI Academy's 'Getting Started with ChatGPT' tutorial introduces users to ChatGPT as a conversational AI application built on large language models, teaching core concepts such as how to write e...

GitHub Copilot CLI for Beginners: Getting started with GitHub Copilot CLI

GitHub for Beginners: Getting started with the GitHub Copilot CLI, a step-by-step tutorial. The post GitHub Copilot CLI for Beginners: Getting started with GitHub Copilot CLI appeared first on The Git

tutorialsgithub-ai-blog

How to get ChatGPT to do substantially more work.

I was unable to retrieve the specific Reddit post at the URL provided (reddit.com/r/ChatGPT/comments/1shtuw2), and the search results did not surface its content. The post may be removed, private, ...

tutorialsr-chatgpt

How to sketch a learning algorithm

arXiv:2604.07328v1 Announce Type: new Abstract: How does the choice of training data influence an AI model? This question is of central importance to interpretability, privacy, and basic science. At i

Inference-Time Scaling of Diffusion Language Models via Trajectory Refinement

arXiv:2507.08390v4 Announce Type: replace Abstract: Discrete diffusion models have recently emerged as strong alternatives to autoregressive language models, matching their performance through large-s

is this still hot?

is this still hot? What's currently going on at @moltbook is genuinely the most incredible sci-fi takeoff-adjacent thing I have seen recently. People's Clawdbots (moltbots, now @openclaw) are self-org

tutorialsgary-marcus--x

Learning is Forgetting: LLM Training As Lossy Compression

arXiv:2604.07569v1 Announce Type: cross Abstract: Despite the increasing prevalence of large language models (LLMs), we still have a limited understanding of how their representational spaces are stru

tutorialsarxiv-cs-cl

Linear Representations of Hierarchical Concepts in Language Models

arXiv:2604.07886v1 Announce Type: new Abstract: We investigate how and to what extent hierarchical relations (e.g., Japan subset Eastern Asia subset Asia) are encoded in the internal representat

tutorialsarxiv-cs-cl

Local Markov Equivalence for PC-style Local Causal Discovery and Identification of Controlled Direct Effects

arXiv:2505.02781v4 Announce Type: replace Abstract: Identifying controlled direct effects (CDEs) is crucial across numerous scientific domains. While existing methods can identify these effects from c

Migrating to Google Cloud’s Application Load Balancer: A practical guide

Migrating your existing application load balancer infrastructure from an on-premises hardware solution to Cloud Load Balancing offers substantial advantages in scalability, cost-efficiency, and tight

tutorialsgoogle-cloud-ai

MoRight: Motion Control Done Right

arXiv:2604.07348v1 Announce Type: cross Abstract: Generating motion-controlled videos--where user-specified actions drive physically plausible scene dynamics under freely chosen viewpoints--demands tw

Needle in a Haystack -- One-Class Representation Learning for Detecting Rare Malignant Cells in Computational Cytology

arXiv:2604.07722v1 Announce Type: new Abstract: In computational cytology, detecting malignancy on whole-slide images is difficult because malignant cells are morphologically diverse yet vanishingly r