Search: “applications”

TSMC struggles to keep up with AI demand: ‘We can only support so much’

Taiwan Semiconductor Manufacturing Co. - the world's biggest semiconductor-maker - is struggling to meet demands from American customers even with its factory buildout in the US, according to reports

applicationsthe-verge-ai

Ultra-Fast Neural Video Compression

DGX agent

arXiv:2606.04410v1 Announce Type: new Abstract: While neural video codecs (NVCs) have demonstrated superior compression ratio, their prohibitive computational complexity remains a critical barrier to

applicationsarxiv-cs-cv

4 Jun 2026

UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing

arXiv:2606.04101v1 Announce Type: cross Abstract: Large-scale expert parallelism (EP) is becoming pivotal for training and serving frontier MoE models, but it also amplifies device-level expert load i

Updates to Legal Terms

Vercel announced updates to its legal terms and conditions in June 2026, likely covering changes to their service agreements, privacy policies, or terms of service. This update would apply to users of

applicationsvercel-blog

Using Text-Based Causal Inference to Disentangle Factors Influencing Online Review Ratings

arXiv:2606.04286v1 Announce Type: new Abstract: Online reviews provide valuable insights into the perceived quality of facets of a product or service. While aspect-based sentiment analysis has focused

Variance Reduction for Heavy-Tailed Monetization Metrics in Ranking Experiments via Post-Stratification

arXiv:2606.04110v1 Announce Type: new Abstract: Online evaluation of ranking and retrieval systems often relies on downstream monetization metrics such as app revenue or creator earnings. These metric

Vibe coding moves from weekend hobby to enterprise change management mandate

Artificial intelligence is rewriting how software gets built inside large enterprises — not just at the tooling level, but at the level of culture, governance and organizational change. The rise of vi

applicationssiliconangle

What to expect during Broadcom’s ‘Modern Private Cloud’ event: Join theCUBE June 9

Enterprise AI is forcing companies to rethink where their most sensitive workloads should live, and private cloud is moving deeper into the center of that decision. For many organizations, the cloud c

applicationssiliconangle

Z-FLoc: Zero-Shot Floorplan Localization via Geometric Primitives

arXiv:2606.04788v1 Announce Type: new Abstract: Visual localization -- estimating a camera pose within a pre-existing map -- is a fundamental problem in computer vision. Floorplans are an attractive m

A Robust Optimization Approach to Sparse Principal Component Analysis

arXiv:2606.03553v1 Announce Type: cross Abstract: While principal component analysis (PCA) is a fundamental tool for dimensionality reduction, its dense representations make it ill-suited for high-dim

AnchorMoE: Interpretable Time Series Classification via Anchor-Routed MoE

arXiv:2606.03631v1 Announce Type: cross Abstract: Multivariate time series classification (MTSC) is pivotal in high-stakes domains, such as clinical diagnosis and industrial fault detection, where saf

Apoha, which is developing a 'Liquid State Intelligence' data layer to measure molecules in the real world, emerges from stealth with $36M led by Singular (Mike Butcher/Pathfounders)

Mike Butcher / Pathfounders: Apoha, which is developing a “Liquid State Intelligence” data layer to measure molecules in the real world, emerges from stealth with 36M led by Singular — Apoha has emerg

applicationstechmeme

Assessing Pause Thresholds for empirical Translation Process Research

arXiv:2604.01410v2 Announce Type: replace Abstract: Text production (and translations) proceeds in the form of stretches of typing, interrupted by keystroke pauses. It is often assumed that fast typin

Benchmarking Speech-to-Speech Translation Models

arXiv:2606.03241v1 Announce Type: new Abstract: Speech-to-speech translation (S2ST) has advanced rapidly, but offline evaluation lacks a unified protocol: studies report non-overlapping metric subsets

Binary Road Surface Classification Using Machine Learning on Production Vehicle Signals During Cruising

arXiv:2606.02762v1 Announce Type: new Abstract: Knowledge of real-time road slipperiness, or even better, a refined estimate of peak grip potential, is a critical input for vehicle warning and interve

Calibrating Urban Traffic Simulation from Sparse Road Observations via Genetic Optimization

arXiv:2606.03823v1 Announce Type: new Abstract: Urban traffic simulation is a critical tool for infrastructure planning, including the placement of electric vehicle charging stations. However, realist

Model Releases

CoEval: Ranking Language Models for Custom Tasks Without Labeled Data or Trustworthy Benchmarks

model-releasesarxiv-cs-ai

arXiv:2606.03650v1 Announce Type: cross Abstract: Choosing or ranking language models for a specific application is hardest when no task-specific labeled data exists, and standard public benchmarks ca

Conditional Hypothesis Generation for LLM-Based Text Analysis with Researcher-Specified Covariates

arXiv:2606.03029v1 Announce Type: cross Abstract: A core goal of computational social science is to discover interpretable differences in how language varies across outcomes of interest, such as polit

Core-based Hierarchies for Efficient GraphRAG

arXiv:2603.05207v2 Announce Type: replace-cross Abstract: Retrieval-Augmented Generation (RAG) enhances large language models by incorporating external knowledge. However, existing vector-based method

Day 2 at #MSBuild is about what it takes to move beyond generic foundation models. Think customization, inference performance, and getting p…

applicationsfireworks-ai--x

Day 2 at #MSBuild is about what it takes to move beyond generic foundation models. Think customization, inference performance, and getting production-ready AI deployed at scale. @chahvivi will lead a

Discovery to Execution: Scaling Agents with Toolboxes and Routines in Microsoft Foundry

applicationsmicrosoft-foundry

Tooling doesn’t break at a small scale—it breaks when teams move to production. AI adoption accelerates, so does the number of tools available to them. Discovering, managing and securing the right too

Do Real-World Datasets Contain Natural Experiments? An Empirical Study Using Causal Feature Selection

arXiv:2606.03251v1 Announce Type: new Abstract: In nature, events that affect some individuals or groups but not others constitute an implicit intervention and are known as natural experiments. For ex

Does Language Shift Break Medical Vision-Language Models? Indonesian Radiology Visual Question Answering Case Study

arXiv:2606.03693v1 Announce Type: new Abstract: Medical Vision-Language Models (VLMs) are typically evaluated on English radiology visual question answering benchmarks, leaving their robustness under

Research

Enhancing Paraphrase Type Generation: The Impact of DPO and RLHF Evaluated with Human-Ranked Data

arXiv:2506.02018v2 Announce Type: replace Abstract: Paraphrasing re-expresses meaning to enhance applications like text simplification, machine translation, and question-answering. Specific paraphrase

researcharxiv-cs-cl

Exposure management evolves from vulnerability scanning to full-stack AI defense

AI has fundamentally broken the economics of cybersecurity and exposure management, compressing exploit windows from days to minutes and forcing organizations to rethink how they inventory, prioritize

applicationssiliconangle

Fine-tuning to production inference is the gap where teams get stuck. At #MSBuild today, our own Rob Ferguson, @danielhanchen (@UnslothAI) a…

applicationsfireworks-ai--x

Fine-tuning to production inference is the gap where teams get stuck. At #MSBuild today, our own Rob Ferguson, @danielhanchen (@UnslothAI) and @marksaroufim (@coreautoai) discuss: model customization

Harvey just published a study showing a hybrid setup, open source GLM 5.1 as primary worker, routing to Opus 4.7 only when needed beats pure…

applicationsclem-delangue--x

Harvey just published a study showing a hybrid setup, open source GLM 5.1 as primary worker, routing to Opus 4.7 only when needed beats pure Opus 4.7 on quality and costs less. This is the multi-model

Hey, its our paper!

Hey, its our paper! One of the most-viewed PNAS articles in the last week is “Persuading large language models to comply with objectionable requests.” Explore the article here: https://ow.ly/wOxl50Z6f

High-Dimensional Latents Should Be Diagnosed Through Phase Structure

arXiv:2606.02600v1 Announce Type: cross Abstract: We study autoencoder and variational-autoencoder latent spaces through the lens of spin-glass theory. The paper has two components. First, we formaliz

Hybrid Adaptive Kalman Filtering for Data-Efficient Joint Tracking and Classification

arXiv:2606.02767v1 Announce Type: cross Abstract: Kalman filtering performance is highly sensitive to model mismatch and noise covariance tuning. Learning-based approaches address these limitations bu

Hybrid Autoregressive-Diffusion Model for Real-Time Sign Language Production

arXiv:2507.09105v4 Announce Type: replace Abstract: Earlier Sign Language Production (SLP) models typically relied on autoregressive decoding, which naturally preserves temporal causality but suffers

If you want to download or modify it: https://github.com/emollick/snake-awakening

This appears to be a GitHub repository shared by Ethan Mollick containing code or a project called 'snake-awakening' that is available for public download and modification. Based on the repository str

Tools

Join the waitlist for Personal Computer on Windows: https://www.perplexity.ai/hub/products/computer-for-windows

Perplexity is inviting users to join a waitlist for a Windows version of its Personal Computer product, which appears to be an AI-powered tool or application designed to run on Windows operating syste

toolsperplexity--x

KnapSpec: Self-Speculative Decoding via Adaptive Layer Selection as a Knapsack Problem

arXiv:2602.20217v2 Announce Type: replace-cross Abstract: Self-speculative decoding (SSD) accelerates LLM inference by skipping layers to create an efficient draft model, yet existing methods often re

Layup Parts, which aims to digitize the composite manufacturing supply chain for aerospace, defense, and motorsports, raised a $42M Series A led by Marlinspike (Sean O'Kane/TechCrunch)

Sean O'Kane / TechCrunch: Layup Parts, which aims to digitize the composite manufacturing supply chain for aerospace, defense, and motorsports, raised a $42M Series A led by Marlinspike — Before Zack

applicationstechmeme

Making Embodied AI Reliable: A Community Agenda from Testing to Formal Verification

arXiv:2606.03593v1 Announce Type: cross Abstract: Embodied AI systems are increasingly deployed in open-world environments, yet ensuring their reliability remains a fundamental challenge. Drawing on d

applicationsarxiv-cs-ro

Mastercard says it plans to offer on-chain settlement using several regulated USD stablecoins, initially supporting USDC, PYUSD, USDG, USDP, RLUSD, and SoFiUSD (Helene Braun/CoinDesk)

Helene Braun / CoinDesk: Mastercard says it plans to offer on-chain settlement using several regulated USD stablecoins, initially supporting USDC, PYUSD, USDG, USDP, RLUSD, and SoFiUSD — The company p

applicationstechmeme

Merit or networks? What decides where research is published

arXiv:2606.03763v1 Announce Type: cross Abstract: Does scientific publishing reward the quality of ideas or the advantage of connections? The question is universal to prestige-driven science, yet it h

Mitigating Spurious Correlations with Memorization-Guided Dataset De-Biasing

arXiv:2606.02830v1 Announce Type: new Abstract: Real-world datasets often contain spurious correlations that are not causally related to the target label. When such correlations dominate the majority

Most people, including really accomplished people, don't have an accurate mental model of how LLMs operate (and why would they?) You see thi…

Most people, including really accomplished people, don't have an accurate mental model of how LLMs operate (and why would they?) You see this in wide beliefs that AI is just copying from known sources

Neuron Populations Exhibit Divergent Selectivity with Scale

arXiv:2606.03990v1 Announce Type: cross Abstract: We investigate whether neuron populations within neural networks evolve predictably with scale, extending scaling laws beyond macroscopic observables

NewtPhys: Do Foundation Models Understand Newtonian Physics?

arXiv:2606.03986v1 Announce Type: new Abstract: Previous work has evaluated physics reasoning in foundation models using synthetic or semi-synthetic scenes and visual question-answering tasks. However

Not to mention that having HIPAA and FERPA compliant AI systems makes thousands of students and researchers using them less risky.

HIPAA and FERPA compliant AI systems reduce institutional and legal risks when used by students and researchers by ensuring sensitive health and educational data are properly protected. Compliance wit

OrthoPhys: Physically Plausible Video Generation with Orthogonal-View Geometry Guidance

arXiv:2603.18639v3 Announce Type: replace Abstract: Recent progress in video generation has led to substantial improvements in visual fidelity, yet ensuring physically consistent motion remains a fund

Personal Computer is coming to Windows. Personal Computer for Windows runs on your machine and orchestrates across the apps and files you us…

applicationsperplexity--x

Personal Computer is coming to Windows. Personal Computer for Windows runs on your machine and orchestrates across the apps and files you use every day. We'll roll out first to paying Max and Enterpri

Phantom Transfer: Data Poisoning can Survive Data-Level Defences

arXiv:2602.04899v2 Announce Type: replace-cross Abstract: We present a data poisoning attack -- Phantom Transfer -- with the property that, even if you know precisely how the poison was placed into an

Principled Reflection Separation via Nonlinear Superposition and Feature Interaction

arXiv:2606.02831v1 Announce Type: new Abstract: Single-image reflection separation is fundamentally challenged by the entanglement of transmission and reflection layers under complex image formation p

Privacy-Aware Decoding: Mitigating Privacy Leakage of Large Language Models in Retrieval-Augmented Generation

arXiv:2508.03098v2 Announce Type: replace Abstract: Retrieval-Augmented Generation (RAG) enhances the factual accuracy of large language models (LLMs) by conditioning outputs on external knowledge sou