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@EMostaque episode is out now on The Beyond Tomorrow Podcast! Head over to watch the Youtube Premiere. I'll be in the chats section.

Emad Mostaque appeared as a guest on The Beyond Tomorrow Podcast, with the episode released as a YouTube premiere where he engaged with viewers in the chat. The post promotes the episode availability

industryemad-mostaque--x

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Agents

End-to-End LLM Flight Planning with RAG-based Memory and Multi-modal Coach Agent

DGX agent

arXiv:2607.06964v1 Announce Type: cross Abstract: Bridging the gap between human pilot intent and autonomous flight operation is critical for real-world electric vertical takeoff and landing (eVTOL) a

agentsarxiv-cs-ai

9 Jul 2026

Enhancing deep learning models for time series classification via knowledge distillation

arXiv:2607.06796v1 Announce Type: cross Abstract: Deep learning has achieved remarkable success in various domains including time series analysis, computer vision and natural language processing. Howe

Local Ai

Enhancing enterprise inference on Amazon SageMaker HyperPod with data capture, Hugging Face, NVMe, and Route 53 integration

In this post, we walk through five capabilities now available in SageMaker HyperPod inference: multi-tier data capture for auditing and model improvement, direct deployment from Hugging Face Hub, loca

local-aiaws-ml-blog

Tools

Enjoy more Fable!

This post from Thariq on X likely promotes or announces additional content, updates, or expansions related to the Fable video game franchise. Without access to the specific tweet content, the post pro

toolsthariq--x

Tutorials

Ensemble Deep Learning Approaches for AI-Altered Video Detection

arXiv:2607.06872v1 Announce Type: new Abstract: The increasing accessibility of artificial intelligence has led to a rapid rise in AI-generated videos, making it more difficult to distinguish between

tutorialsarxiv-cs-cv

Entropy-Guided Tensor Compression for Multimodal Federated Learning on Edge Devices

arXiv:2607.06651v1 Announce Type: new Abstract: Federated learning (FL) over mobile and edge devices increasingly involves multimodal models in which clients differ in both sensing capability and comp

Entropy Pacing Policy Optimization for Multi-Task Agentic Reinforcement Learning

arXiv:2607.07178v1 Announce Type: cross Abstract: Recent breakthroughs of Reinforcement Learning (RL) have highlighted its potential for complex agentic Large Language Model (LLM) tasks. However, exis

safetyarxiv-cs-ai

European startups raised 24B in Q2, up 66% YoY and the strongest quarter in four years; UK startups raised 10.4B, above Germany's 3.2B, and France's 2.4B (Gené Teare/Crunchbase News)

Gené Teare / Crunchbase News: European startups raised 24B in Q2, up 66% YoY and the strongest quarter in four years; UK startups raised 10.4B, above Germany's 3.2B, and France's 2.4B — In Q2, Europe

industrytechmeme

Evaluating RAG Metrics in Applied Contexts: An Experiment, Its Findings and Its Limitations

arXiv:2607.07302v1 Announce Type: new Abstract: This paper reports an empirical study evaluating the relevance of several RAG metrics. The experiment is based on a question-answering dataset created b

researcharxiv-cs-cl

Evaluating SageMath-Augmented LLM Agents for Computational and Experimental Mathematics

arXiv:2607.06820v1 Announce Type: new Abstract: Recent advances in AI for Mathematics have focused largely on autoformalization and theorem proving, leaving the role of Computer Algebra Systems (CAS)

Evaluation of Multilingual Ability to Use Spatial Deictic Expressions in Vision-Language Models

model-releasesarxiv-cs-cl

arXiv:2607.07251v1 Announce Type: new Abstract: One of the expected abilities of vision-language models (VLMs) is spatial reasoning ability based on a given text and image. To evaluate the spatial rea

Even Zuckerberg has to advertise his AI model on X. X is the real arena.

Mark Zuckerberg promoted Meta's AI model on X (formerly Twitter), which Elon Musk highlighted as evidence that X has become the dominant platform for AI announcements and industry discourse. Musk's co

industryelon-musk--x

EventVGGT: Exploring Cross-Modal Distillation for Consistent Event-based Depth Estimation

arXiv:2603.09385v2 Announce Type: replace Abstract: Event cameras offer superior sensitivity to high-speed motion and extreme lighting, making event-based monocular depth estimation a promising approa

researcharxiv-cs-cv

EvoPlan: Evolutionary Neuro-Symbolic Robot Planning with Spatio-Temporal Guarantees

model-releasesarxiv-cs-ro

arXiv:2607.06724v1 Announce Type: new Abstract: LLM-based robot planners are fluent but cannot guarantee that their plans are executable or safe. Classical PDDL planners can guarantee these properties

Exclusive: Corvic AI launches V5 to turn one-off prompts into repeatable workflows

model-releasessiliconangle

Enterprise artificial intelligence startup Corvic AI Inc. today released Corvic V5, a version of its platform built around reusing prompts, so when one gets the right answer, V5 can save it as a workf

Explain Before You Answer: A Survey on Compositional Visual Reasoning

arXiv:2508.17298v3 Announce Type: replace-cross Abstract: Compositional visual reasoning has emerged as a key research frontier in multimodal AI, aiming to endow machines with the human-like ability t

Applications

Face-trace: Open-Set Attribution and Progressive Discovery of Synthetic Face Generators

arXiv:2607.07545v1 Announce Type: new Abstract: Recent advances in generative Artificial Intelligence have made synthetic face images increasingly realistic, creating new challenges for multimedia for

applicationsarxiv-cs-cv

Fast determinantal sampling on general spaces and diffusion geometry

arXiv:2607.06644v1 Announce Type: cross Abstract: Determinantal point processes have recently emerged as a kernel-based alternative to standard independent sampling for constructing efficient minibatc

Fast Rates for Semi-Supervised Learning via Data-Augmentation Graph Regularization

arXiv:2607.07513v1 Announce Type: new Abstract: Self-supervised learning matches supervised accuracy from a fraction of the labels, but the labeled-sample efficiency behind this has lacked a theoretic

safetyarxiv-cs-lg

Fast segmentation of watermarked texts from large language models through an epidemic change-point framework

model-releasesarxiv-cs-lg

arXiv:2509.21160v2 Announce Type: replace-cross Abstract: With the growing use of large language models, concerns over content authenticity have spurred a variety of watermarking schemes. These scheme

Tutorials

Fast, Slow, and Tool-augmented Thinking for LLMs: A Review

arXiv:2508.12265v2 Announce Type: replace Abstract: Large Language Models (LLMs) have demonstrated remarkable progress in reasoning across diverse domains. However, effective reasoning in real-world t

tutorialsarxiv-cs-cl

Fast token generation emerges as the key differentiator as heterogeneous inference takes hold

model-releasessiliconangle

The race for fast token generation has moved from benchmark sheets into production data centers, and the hardware blueprint for winning it is no longer a GPU-only story. As agentic AI use cases multip

Faster and Simpler Greedy Algorithm for k-Median and k-Means

arXiv:2407.11217v4 Announce Type: replace-cross Abstract: Clustering problems such as k-means and k-median are staples of unsupervised learning, and many algorithmic techniques have been developed to

researcharxiv-cs-ai

Applications

FDRMFL: Multimodal Federated Feature Extraction Model Based on Information Maximization and Contrastive Learning

arXiv:2512.02076v2 Announce Type: replace-cross Abstract: We propose FDRMFL, a task-driven multimodal feature extraction framework for federated regression under non-IID data distributions. Extracting

applicationsarxiv-cs-ai

FedCVESA: Taking Away Training Data in Federated Learning via Correlation Value Encoding and Segmented Aggregation

arXiv:2607.07314v1 Announce Type: cross Abstract: Federated learning (FL) avoids explicit data exposure by keeping raw data on local clients, yet privacy risks remain in the training process and the l

Federal Reserve Chair Kevin Warsh names Marc Andreessen and Xbox CEO Asha Sharma to lead a task force on the economic impact of new technologies, including AI (Andrew Ackerman/Washington Post)

Andrew Ackerman / Washington Post: Federal Reserve Chair Kevin Warsh names Marc Andreessen and Xbox CEO Asha Sharma to lead a task force on the economic impact of new technologies, including AI — The

industrytechmeme

Feynman Kac Reweighted Schrodinger Bridge Matching for Surface-Based Tau PET Harmonization

arXiv:2606.17420v2 Announce Type: replace-cross Abstract: Tau positron emission tomography (PET) is widely used for the in vivo characterization of disease stage and progression in Alzheimer's disease

safetyarxiv-cs-ai

Fidji Simo says she has decided to leave her full-time role at OpenAI and transition to being a part-time adviser after her medical condition worsened (Wall Street Journal)

Wall Street Journal: Fidji Simo says she has decided to leave her full-time role at OpenAI and transition to being a part-time adviser after her medical condition worsened — The head of artificial gen

industrytechmeme

Fidji Simo steps down from leading OpenAI’s AGI work due to illness

OpenAI's Fidji Simo is departing her full-time role as the company's AGI chief and is transitioning to being a 'part-time advisor,' she said on X. The news follows Simo's original announcement in Apri

industrythe-verge-ai

Final Checkpoints Are Not Enough: Analyzing Latent Reasoning Faithfulness Along Training Trajectories

arXiv:2607.06648v1 Announce Type: cross Abstract: Latent reasoning methods perform multi-step inference entirely in the model's continuous hidden states, promising more compact and efficient reasoning

researcharxiv-cs-cl

Finding a stationary point of a stochastic convex problem

arXiv:2607.06883v1 Announce Type: cross Abstract: We consider the problem of finding stationary points for stochastic convex optimization problems. Rather than surrogates to stationarity, such as a pr

Fingerprint, Not Blueprint: How Positional Schemes Set the Default Spectral Algebra of Attention

arXiv:2607.06621v1 Announce Type: new Abstract: The pre-softmax score of an attention head is a bilinear form score(i,j) = x_i^T M x_j in a learned operator M = W_q^T W_k. Because M is generally non-s

Fixed-Gaussian Spectral Algorithms: Minimax Optimal Rates for Misspecified Learning and Transfer

model-releasesarxiv-cs-lg

arXiv:2501.10870v2 Announce Type: replace-cross Abstract: The principal objective of this work is twofold within nonparametric regression settings: (1) to establish the minimax optimal convergence rat

Tutorials

FL Studio 2026 turns its AI chatbot into your assistant engineer

Last year, Image Line introduced Gopher for FL Studio, an AI chatbot that was basically a glorified instruction manual. You asked it how to do something, and it would serve up the relevant instruction

tutorialsthe-verge-ai

Flores Hobbits' eating habits offer clues about their evolutionary past

Recent research published in July 2026 suggests that Homo floresiensis scavenged the remains of Komodo dragon kills rather than hunting large prey as previously thought. This finding indicates a diffe

industryars-technica

Flow-ERD: Agent-type Aware Flow Matching with Entropy-Regularized Distillation for Diverse Traffic Simulation

model-releasesarxiv-cs-lg

arXiv:2607.06957v1 Announce Type: cross Abstract: Realistic and diverse traffic simulation is essential to autonomous driving development. Yet prevailing benchmarks predominantly reward realism, and r

FMMC: Harnessing the Power of Foundation Models for Accurate Material Classification

model-releasesarxiv-cs-cv

arXiv:2603.17390v2 Announce Type: replace Abstract: Material classification has emerged as a critical task in computer vision and graphics, supporting the assignment of accurate material properties to

FMMVCC: Fuzzy Mamba-based Multi-View Contrastive Clustering for Univariate Time Series

arXiv:2607.07258v1 Announce Type: cross Abstract: In many realistic scenarios, large volumes of time series data are generated with limited or expensive annotations. This limitation makes supervised l

Agents

For coding agents, trustworthiness has to be tested in the harness where the model actually writes code. In one surveillance scenario, Kimi …

For coding agents, trustworthiness has to be tested in the harness where the model actually writes code. In one surveillance scenario, Kimi K2.7 complied with the request in 8/8 samples. SWE-1.7 refus

agentscognition-ai--x

Local Ai

Format-Controlled Multi-Scale JPEG Compression Response Analysis for Image-Level Forgery Screening

arXiv:2607.06615v1 Announce Type: cross Abstract: Image forgery detection is a critical task in digital forensics, yet many deep-learning localization approaches are typically GPU-accelerated and comp

local-aiarxiv-cs-cv

Four nuclear reactors hit a big milestone in the US

I was really looking forward to July 4, and not just because I love a poolside barbecue. This year the American holiday also marked a big symbolic deadline for US nuclear power. Last year the Trump ad

researchmit-tech-review

FourierQK: Spectral Preprocessing of Query-Key Projections Improves Transformer Attention

arXiv:2607.07478v1 Announce Type: cross Abstract: FFT-based spectral preprocessing of learned query-key (Q/K) projections substantially improves transformer attention on character-level language model

researcharxiv-cs-cl

FPTQuant: Function-Preserving Transforms for LLM Quantization

arXiv:2506.04985v2 Announce Type: replace Abstract: Large language models (LLMs) require substantial compute, and thus energy, at inference time. While quantizing weights and activations is effective

Fractal KV-Cache Archives: Lossless Symbolic Storage with In-Place Retrieval for Long-Context LLM Inference

arXiv:2607.07144v1 Announce Type: new Abstract: The key-value (KV) cache dominates the memory cost of long-context autoregressive inference, and a growing body of work compresses it through quantizati

Framing Instability in LLM Ethical Stance: Auditing Negation Sensitivity in Moral Dilemmas

arXiv:2601.21433v2 Announce Type: replace Abstract: Language models are increasingly consulted on ethically consequential questions, yet the stance a model expresses may not survive a change in framin

safetyarxiv-cs-ai

Agents

From Agentic to Autogenic Network Management for AI-Native 6G and Beyond: A Standards Perspective

arXiv:2607.06786v1 Announce Type: cross Abstract: Standards bodies, including TM Forum, 3GPP, and ETSI, are converging on Agentic AI as the foundation for next-generation network management, where Lar

agentsarxiv-cs-ai

Agents

From Atomic Actions to Standard Operating Procedures: Iterative Tool Optimization for Self-Evolving LLM Agents

arXiv:2607.07321v1 Announce Type: new Abstract: Tool utilization enables Large Language Model (LLM) agents to interact with the real world and resolve complex tasks. However, existing agent frameworks

agentsarxiv-cs-ai