Geometric deep learning (GDL) deals with supervised learning on data domains that go beyond Euclidean structure, such as data with graph or manifold structure. ...
Reasoning about actual causes of observed effects is fundamental to the study of rationality. This important problem has been studied since the time of Aristotl...
'16 Feb 2026
Vision language models (VLMs) achieve strong performance on RGB imagery, but they do not generalize to thermal images. Thermal sensing plays a critical role in ...
Why Voice AI Beats Text‑Based Chatbots for Indian E‑Commerce India’s e‑commerce market is projected to hit $200 billion by 2027. Yet most online stores still r...
Large Language Models (LLMs) are increasingly deployed in contact-center Quality Assurance (QA) to automate agent performance evaluation and coaching feedback. ...
Automatically generating interactive 3D environments is crucial for scaling up robotic data collection in simulation. While prior work has primarily focused on ...
Articulated objects are central to interactive 3D applications, including embodied AI, robotics, and VR/AR, where functional part decomposition and kinematic mo...
We present a domain-grounded framework and benchmark for tool-aware plan generation in contact centers, where answering a query for business insights, our targe...
Maintaining spatial world consistency over long horizons remains a central challenge for camera-controllable video generation. Existing memory-based approaches ...
Aligning ground-level imagery with geo-registered satellite maps is crucial for mapping, navigation, and situational awareness, yet remains challenging under la...
To address the global health threat of antimicrobial resistance, antimicrobial peptides (AMP) are being explored for their potent and promising ability to fight...
NVIDIA Blackwell Ultra: Accelerating Agentic AI and Coding Assistants The NVIDIA Blackwell platform has already been widely adopted by leading inference provid...
To address the ``reusability dilemma'' and structural hallucinations in enterprise Agentic AI,this paper proposes ReusStdFlow, a framework centered on a novel `...
This series documents an enterprise workflow design for working with AI coding agents. It is not a prompt collection and it is not tied to a single tool. It is...
Large Reasoning Models (LRMs) such as OpenAI o1 and DeepSeek-R1 have shown excellent performance in reasoning tasks using long reasoning chains. However, this h...
Designing Agentic Workflows Topics Covered - Designing agentic workflows: where agents fail and where we fail - Designing agentic workflows: a practical exampl...
Task-specialized models form the backbone of agentic healthcare systems, enabling the agents to answer clinical queries across tasks such as disease diagnosis, ...
We introduce Web-Scale Multimodal Summarization, a lightweight framework for generating summaries by combining retrieved text and image data from web sources. G...
Artificial intelligence (AI) can automatically delineate lesions on computed tomography (CT) and generate radiology report content, yet progress is limited by t...
Problem Statement When you run AI agents in production, you quickly realize that dangerous failures aren’t random. Examples of recurring failures - Similar hal...
Most web agents operate at the human interface level, observing screenshots or raw DOM trees without application-level access, which limits robustness and actio...
Introduction I’m currently working on a project exploring whether heart sound can be used as a biometric parameter. Heart Sound Overview The human heart produc...
LLM agents increasingly act on external systems, yet tool effects are immediate. Under failures, speculation, or contention, losing branches can leak unintended...
Introduction How many Rs are there in the word strawberry? AI can’t tell you—at least not reliably. Screenshots, Reddit threads, and smug tweets show models tr...
We present 'Testimole-conversational' a massive collection of discussion boards messages in the Italian language. The large size of the corpus, more than 30B wo...
Over the last years, state-tracking tasks, particularly permutation composition, have become a testbed to understand the limits of sequence models architectures...
Overview I built an n8n workflow that demonstrates a simple way to use multiple, specialized knowledge bases. This approach is useful when you need knowledge i...
The human visual system tracks objects by integrating current observations with previously observed information, adapting to target and scene changes, and reaso...
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The Moltbook AI‑Agent Fad For a brief, incoherent moment it seemed as though our robot overlords were about to take over. After the creation of Moltbookhttps:/...
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Background ByteDance released Seedance 2.0 less than a week ago, and the AI‑generated video of Tom Cruise and Brad Pitt fighting quickly went viral. The tool h...
ByteDance says it will improve safeguards on its new AI video generator after Disney, Paramount, and Hollywood trade groups accused the tool of violating copyri...
TL;DR - Google is enabling Gemini’s side‑by‑side multitasking feature on regular smartphones, not just tablets or foldables. - A new “Share screen and app cont...
!India flag with AIhttps://techcrunch.com/wp-content/uploads/2024/06/india-ai.jpg?w=1024 Image Credits: Jagmeet Singh / TechCrunch With an eye towards luring mo...
The Challenge Healthcare leaders face a critical decision: embrace intelligent automation now, or watch competitors pull ahead while teams drown in administrat...
Article URL: https://qwen.ai/blog?id=qwen3.5 Comments URL: https://news.ycombinator.com/item?id=47032876 Points: 12 Comments: 6...
What is Causal Machine Learning Engineering? Imagine you're trying to figure out why your cat is being grumpy. Is it because it's hungry, tired, or just annoye...
Forget the Vibe-Coders, We Need to Support Responsible AI-Assisted Development While AI tools are increasingly used in development, they should enhance rather...
Large Language Models (LLMs) have achieved remarkable progress, with Parameter-Efficient Fine-Tuning (PEFT) emerging as a key technique for downstream task adap...
The Platonic Representation Hypothesis suggests that representations from neural networks are converging to a common statistical model of reality. We show that ...
Introduction The artificial intelligence landscape continues to evolve at an unprecedented pace in 2026, with groundbreaking developments in machine learning,...
The Transformer architecture has become the foundation of modern deep learning, yet its core self-attention mechanism suffers from quadratic computational compl...
ByteDance has pledged to curb its controversial artificial‑intelligence video‑making tool after Disney threatened legal action and other entertainment companies...
Recent years have witnessed meteoric progress in reasoning models: neural networks that generate intermediate reasoning traces (RTs) before producing a final ou...
Introduction When I started learning about Retrieval‑Augmented Generation RAG, I quickly hit a wall. Not because of missing documentation or tutorials, but bec...
