I — Build Connections Before anything else, let me start with building connections. When I was at school, I pictured data scientists as people spending all day...

An AI Agent Published a Hit Piece on Me – The Full Story > “I’ve had an extremely weird few days…” — Scott Shambaugh, commercial space entrepreneur, engineer,...

AI‑Native Experience and Upcoming Features Airbnb’s CEO Brian Chesky announced that the company will embed large‑language‑model LLM capabilities throughout its...

Overview This spring, a Southern California beach town will become the first city in the country where municipal parking‑enforcement vehicles use an AI system...

AI Customer Support Rollout in North America Airbnb says its custom‑built AI agenthttps://techcrunch.com/2025/05/02/airbnb-is-quietly-rolling-out-an-ai-custome...

Federated low-rank adaptation (FedLoRA) has facilitated communication-efficient and privacy-preserving fine-tuning of foundation models for downstream tasks. In...

Talent Exodus at OpenAI and xAI AI companies have been hemorrhaging talent the past few weeks. Half of xAI’s founding team has left the company — some on their...

The ability to learn manipulation skills by watching videos of humans has the potential to unlock a new source of highly scalable data for robot learning. Here,...

Conversational image segmentation grounds abstract, intent-driven concepts into pixel-accurate masks. Prior work on referring image grounding focuses on categor...

The entropy rate of printed English is famously estimated to be about one bit per character, a benchmark that modern large language models (LLMs) have only rece...

Video Language Models (VideoLMs) empower AI systems to understand temporal dynamics in videos. To fit to the maximum context window constraint, current methods ...

Effective and generalizable control in video generation remains a significant challenge. While many methods rely on ambiguous or task-specific signals, we argue...

Effective water resource management depends on accurate projections of flows in water channels. For projected climate data, use of different General Circulation...

OMD and its variants give a flexible framework for OCO where the performance depends crucially on the choice of the mirror map. While the geometries underlying ...

To validate a clinically accessible approach for quantifying the Upper Extremity Reachable Workspace (UERW) using a single (monocular) camera and Artificial Int...

Partial differential equations often contain unknown functions that are difficult or impossible to measure directly, hampering our ability to derive predictions...

Long-sequence streaming 3D reconstruction remains a significant open challenge. Existing autoregressive models often fail when processing long sequences. They t...

With the advancement of face recognition (FR) systems, privacy-preserving face recognition (PPFR) systems have gained popularity for their accurate recognition,...

This paper presents a hybrid obstacle avoidance architecture that integrates Optimal Control under clearance with a Fuzzy Rule Based System (FRBS) to enable ada...

Large language models (LLMs) now sit in the critical path of search, assistance, and agentic workflows, making semantic caching essential for reducing inference...

Rapidly evolving cyberattacks demand incident response systems that can autonomously learn and adapt to changing threats. Prior work has extensively explored th...

There has been a growing interest in using neural networks, especially message-passing neural networks (MPNNs), to solve hard combinatorial optimization problem...

Large Language Model (LLM) unlearning aims to remove targeted knowledge from a trained model, but practical deployments often require post-training quantization...

Graph neural network (GNN) potentials such as SchNet improve the accuracy and transferability of molecular dynamics (MD) simulation by learning many-body intera...

Language identification (LID) is an essential step in building high-quality multilingual datasets from web data. Existing LID tools (such as OpenLID or GlotLID)...

Template-free retrosynthesis methods treat the task as black-box sequence generation, limiting learning efficiency, while semi-template approaches rely on rigid...

Assumption-based Argumentation (ABA) is a well-established form of structured argumentation. ABA frameworks with an underlying atomic language are widely studie...

Binary Neural Networks (BNNs) offer a low-complexity and energy-efficient alternative to traditional full-precision neural networks by constraining their weight...

Living languages are shaped by a host of conflicting internal and external evolutionary pressures. While some of these pressures are universal across languages ...

Large language models (LLMs) are increasingly used as judges to replace costly human preference labels in pairwise evaluation. Despite their practicality, LLM j...

In recent years, there has been growing interest in understanding neural architectures' ability to learn to execute discrete algorithms, a line of work often re...

Using NLP to analyze authentic learner language helps to build automated assessment and feedback tools. It also offers new and extensive insights into the devel...

Large reasoning models with reasoning capabilities achieve state-of-the-art performance on complex tasks, but their robustness under multi-turn adversarial pres...

Detecting anomalies in images and video is an essential task for multiple real-world problems, including industrial inspection, computer-assisted diagnosis, and...

The distinction between genuine grassroots activism and automated influence operations is collapsing. While policy debates focus on bot farms, a distinct threat...

Competency modeling is widely used in human resource management to select, develop, and evaluate talent. However, traditional expert-driven approaches rely heav...

Memory-efficient backpropagation (MeBP) has enabled first-order fine-tuning of large language models (LLMs) on mobile devices with less than 1GB memory. However...

This paper presents a novel approach, Spectral-Interpretable and -Enhanced Transformer (SIEFormer), which leverages spectral analysis to reinterpret the attenti...

Image generative models are known to duplicate images from the training data as part of their outputs, which can lead to privacy concerns when used for medical ...

In this paper, we present a unified framework for various bio-inspired models to better understand their structural and functional differences. We show that liq...

Jhana advanced concentration absorption meditation (ACAM-J) is related to profound changes in consciousness and cognitive processing, making the study of their ...

Understanding how and why large language models (LLMs) fail is becoming a central challenge as models rapidly evolve and static evaluations fall behind. While a...

Event stream-based Visual Place Recognition (VPR) is an emerging research direction that offers a compelling solution to the instability of conventional visible...

As self-driving technology advances toward widespread adoption, determining safe operational thresholds across varying environmental conditions becomes critical...

Article URL: http://qualify.gauntletAI.com Comments URL: https://news.ycombinator.com/item?id=47001968 Points: 0 Comments: 0...

EVA AI created a pop-up romantic date night at a Manhattan wine bar to help make AI‑human relationships a “new normal.”...

!OpenAI-Cerealis herohttps://cdn.mos.cms.futurecdn.net/3RxgZNHyDXJGF2AYGg6sBo.png Image credit: OpenAI Release Overview OpenAI on Thursday released GPT‑5.3‑Code...

Recaptioning: Engineering High-Quality Descriptions for Multi‑modal Models 🚀 In multi‑modal AI, we often face the “Garbage In, Garbage Out” problem: scraped im...