!Cover image for Launching Pegasus 1.5 by TwelveLabs on Product Hunthttps://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=auto,format=auto...

Scalability of evolutionary algorithms refers to assessing how their performance changes as problem size increases. In the area of multi-objective optimisation,...

Existing works on large language model (LLM) decomposition mainly focus on improving performance on downstream tasks, but they ignore the poor parallel inferenc...

Claude Token Counter, now with model comparisons I upgradedhttps://github.com/simonw/tools/pull/269 my Claude Token Counter tool to add the ability to run the...

Key Takeaways - Hyatt has deployed ChatGPT Enterprise. - With ChatGPT Enterprise, Hyatt employees can access frontier AI capabilities such as GPT 5.4, Codex, a...

'Why Inference Optimization Is Taking Over

Introduction: The Gap Between Ideas and Execution Is Shrinking There has always been a frustrating gap in the creative and product development process. You mig...

I Built an AI Agent That Writes Viral LinkedIn Posts in My Voice Most AI writing tools sound the same—same hooks, same tone, the same “AI feel.” To break that...

Article URL: https://finance.yahoo.com/sectors/technology/articles/ubers-anthropic-ai-push-hits-223109852.html Comments URL: https://news.ycombinator.com/item?i...

Symbolic regression (SR) with genetic programming (GP) aims to discover interpretable mathematical expressions directly from data. Despite its strong empirical ...

Shift in Documentation Consumers I’ve worked as a senior technical writer for over 6 years, and I can say with confidence that the consumers of documentation h...

Monotone Boolean functions are a structurally important class of Boolean functions, but their restricted form imposes strong limitations on achievable nonlinear...

Large Audio-Language Models (LALMs) are increasingly integrated into daily applications, yet their generative biases remain underexplored. Existing speech fairn...

Despite the rapid progress, LLMs for sequential decision-making (i.e., LLM agents) still struggle to produce diverse outputs. This leads to insufficient explora...

A robust Multimodal Large Language Model (MLLM) for Earth Observation should maintain consistent interpretation and reasoning under realistic input variations. ...

Personalized image aesthetics assessment (PIAA) aims to predict an individual user's subjective rating of an image, which requires modeling user-specific aesthe...

Unrecovered e-waste represents a significant economic loss. Hard disk drives (HDDs) comprise a valuable e-waste stream necessitating robotic disassembly. Automa...

We present a novel approach for claim verification from tabular data documents. Recent LLM-based approaches either employ complex pretraining/fine-tuning or dec...

Breast cancer diagnosis demands rapid and precise tools, yet traditional histopathological methods often fall short in intra-operative settings. Deep Ultraviole...

Vision-Language Models (VLMs) achieve strong cross-modal performance, yet recent evidence suggests they over-rely on textual descriptions while under-utilizing ...

Iterative alignment methods based on purely greedy updates are remarkably effective in practice, yet existing theoretical guarantees of (O(log T)) KL-regularize...

Recent advances in summary evaluation are based on model-based metrics to assess quality dimensions, such as completeness, conciseness, and faithfulness. Howeve...

Ising machines -- special-purpose hardware for heuristically solving Ising optimization problems -- based on probabilistic bits (p-bits) have been established a...

Spiking neural operators are appealing for neuromorphic edge computing because event-driven substrates can, in principle, translate sparse activity into lower l...

Introduction In Part 1 of this series we introduced the architecture of the ASL‑to‑voice translation system—a five‑stage pipeline that turns real‑time webcam v...

!https://9to5google.com/wp-content/uploads/sites/4/2026/04/Gemini-app-notebooks-cover.jpg?quality=82&strip=all&w=1600 After rolling out to Google AI subscribers...

TL;DR - Gemini’s overlay redesign is starting to roll out for some users. - There are several changes, including thinner icons, a new UI sheet, and more. - Gem...

!https://9to5mac.com/wp-content/uploads/sites/6/2025/07/machine-learning-research.jpg?quality=82&strip=all&w=1600 Apple is one of the sponsors of this year’s In...

We introduce LaviGen, a framework that repurposes 3D generative models for 3D layout generation. Unlike previous methods that infer object layouts from textual ...

UAV vision-language navigation (VLN) requires an agent to navigate complex 3D environments from an egocentric perspective while following ambiguous multi-step i...

As AI systems are increasingly used to conduct research autonomously, misaligned systems could introduce subtle flaws that produce misleading results while evad...

Atmospheric haze significantly degrades wildlife imagery, impeding computer vision applications critical for conservation, such as animal detection, tracking, a...

Stochastic dynamical systems with slow or metastable behavior evolve, on long time scales, on an unknown low-dimensional manifold in high-dimensional ambient sp...

Explaining Machine Learning (ML) results in a transparent and user-friendly manner remains a challenging task of Explainable Artificial Intelligence (XAI). In t...

Large Language Models (LLMs) have the potential to accelerate small molecule drug design due to their ability to reason about information from diverse sources a...

Although most of the automated theorem-proving approaches depend on formal proof systems, informal theorem proving can align better with large language models' ...

This paper explores the response of Large Language Models (LLMs) to user prompts with different degrees of politeness and impoliteness. The Politeness Theory by...

As AI-assisted video creation becomes increasingly practical, instruction-guided video editing has become essential for refining generated or captured footage t...

The complexity of Vietnam's legal texts presents a significant barrier to public access to justice. While Large Language Models offer a promising solution for l...

Underwater images often suffer from severe degradation, such as color distortion, low contrast, and blurred details, due to light absorption and scattering in w...

Existing multi-hazard susceptibility mapping (MHSM) studies often rely on spatially uniform models, treat hazards independently, and provide limited representat...

Vision Language models (VLMs) have demonstrated strong performance across a wide range of benchmarks, yet they often suffer from modality dominance, where predi...

Recent advances in language models have substantially improved Natural Language Understanding (NLU). Although widely used benchmarks suggest that Large Language...

Frontier models have demonstrated exceptional capabilities following the integration of task-reward-based reinforcement learning (RL) into their training pipeli...

Competency Questions (CQs) are a cornerstone of requirement elicitation in ontology engineering. CQs represent requirements as a set of natural language questio...

Reasoning in vision-language models (VLMs) has recently attracted significant attention due to its broad applicability across diverse downstream tasks. However,...

Image geolocalization has traditionally been addressed through retrieval-based place recognition or geometry-based visual localization pipelines. Recent advance...

We propose HILBERT (HIerarchical Long-sequence Balanced Embedding with Reciprocal contrastive Training), a cross-attentive multimodal framework for learning doc...