!https://cdn-avatars.huggingface.co/v1/production/uploads/620760a26e3b7210c2ff1943/-s1gyJfvbE1RgO5iBeNOi.png Qwen/Qwen3-Reranker-0.6B - Task: Text Ranking - Par...
Article URL: https://platform.claude.com/docs/en/managed-agents/overview Comments URL: https://news.ycombinator.com/item?id=47697641 Points: 18 Comments: 9...
When Meta announced Muse Spark—its first major model release since Llama 4 nearly a year ago—the benchmarks grabbed most of the attention. The real story, howev...
The age of agentic AI is upon us — whether we like it or not. What started with an innocent question‑answer banter with ChatGPT back in 2022 has become an exist...
Self-attention in Transformers generates dynamic operands that force conventional Compute-in-Memory (CIM) accelerators into costly non-volatile memory (NVM) rep...
TL;DR: 1min.AIhttps://zdcs.link/QrJgj1?pageview_type=Standard&template=article&module=content_body&element=offer&item=text-link&element_label=1min.AI&object_typ...
Industrial forecasting often involves multi-source asynchronous signals and multi-output targets, while deployment requires explicit trade-offs between predicti...
Positional Encoding for Each Word In the previous article we saw how positional encoding is generated using sine and cosine waves. To assign positional values...
!Gemini app NotebookLM coverhttps://9to5google.com/wp-content/uploads/sites/4/2026/04/Gemini-app-NotebookLM-cover.jpg?quality=82&strip=all&w=1600 The Gemini app...
Meta on Wednesday announced Sparkhttps://about.fb.com/news/2026/04/introducing-muse-spark-meta-superintelligence-labs/, the first AI model in the Muse family th...
The Question Can you get a better answer by having multiple LLMs collaborate than by just asking one directly? That’s the thesis behind Occursus Benchmarkhttps...
Meta released an AI model on Wednesday called Muse Sparkhttps://ai.meta.com/blog/introducing-muse-spark-msl/, which marks its “first step” toward an “overhaul o...
Muse Spark is Meta’s first model since its AI reboot, and the benchmarks suggest formidable performance....
Overview Meta has launched Muse Spark, its first major AI model under Alexandr Wang's leadership. The model was built over the past nine months and is position...
Large Chunk Test-Time Training (LaCT) has shown strong performance on long-context 3D reconstruction, but its fully plastic inference-time updates remain vulner...
Exact relevance certification asks which coordinates are necessary to determine the optimal action in a coordinate-structured decision problem. The tractable fa...
Generating motion-controlled videos--where user-specified actions drive physically plausible scene dynamics under freely chosen viewpoints--demands two capabili...
The rapid growth of generative artificial intelligence (AI) has introduced unprecedented computational demands, driving significant increases in the energy foot...
Pluralistic alignment has emerged as a critical frontier in the development of Large Language Models (LLMs), with reward models (RMs) serving as a central mecha...
We propose TC-AE, a ViT-based architecture for deep compression autoencoders. Existing methods commonly increase the channel number of latent representations to...
Recent advances in vision-language models (VLMs) have improved image captioning for cultural heritage. However, inferring structured cultural metadata (e.g., cr...
3D Gaussian Splatting (3DGS) has revolutionized fast novel view synthesis, yet its opacity-based formulation makes surface extraction fundamentally difficult. U...
Scaling up robot learning will likely require human data containing rich and long-horizon interactions in the wild. Existing approaches for collecting such data...
Photon-counting CT (PCCT) provides superior image quality with higher spatial resolution and lower noise compared to conventional energy-integrating CT (EICT), ...
How does the choice of training data influence an AI model? This question is of central importance to interpretability, privacy, and basic science. At its core ...
In early March, I noticed approximately $180 in unexpected charges to my Anthropic account. I’m a Claude Max subscriber, and between March 3‑5, I received 16 se...
In early March, I noticed approximately $180 in unexpected charges to my Anthropic account. I’m a Claude Max subscriber, and between March 3‑5, I received 16 se...
In this paper, we derive rates of convergence in the high-dimensional central limit theorem for Polyak-Ruppert averaged iterates generated by the asynchronous Q...
Propositional Linear Temporal Logic (LTL) is a popular formalism for specifying desirable requirements and security and privacy policies for software, networks,...
Low-resource languages pose a challenge for machine translation with large language models (LLMs), which require large amounts of training data. One potential w...
The growing complexity of neural networks hinders the deployment of distributed machine learning on resource-constrained devices. Split learning (SL) offers a p...
One Major Challenge in Deploying Autonomous Agents Building systems that can adapt to changes in their environments without retraining the underlying large lan...
Existing dynamic data pruning methods often fail under noisy-label settings, as they typically rely on per-sample loss as the ranking criterion. This could mist...
Large Language Models (LLMs) challenge conventional automated programming assessment because students can now produce functionally correct code without demonstr...
Multiple Instance Learning (MIL) is the dominant framework for gigapixel whole-slide image (WSI) classification in computational pathology. However, current MIL...
Spatial understanding is a fundamental cornerstone of human-level intelligence. Nonetheless, current research predominantly focuses on domain-specific data prod...
Amid rapid enterprise growth, Anthropic is trying to lower the barrier to entry for businesses to build AI agents with Claude....
Real-time supervisory control of advanced reactors requires accurate forecasting of plant-wide thermal-hydraulic states, including locations where physical sens...
Autonomous vehicles deployed in remote environments typically rely on embedded processors, compact batteries, and lightweight sensors. These hardware limitation...
Nine months after founding Meta Superintelligence Labs, Zuckerberg is ready to show his cards By Chance Townsend !Headshot of a Black manhttps://helios-i.masha...
Debates about artificial intelligence (AI) in education often portray teaching as a modular and procedural job that can increasingly be automated or delegated t...
Automated face recognition has made rapid strides over the past decade due to the unprecedented rise of deep neural network (DNN) models that can be trained for...
Online reinforcement learning (RL) serves as an effective method for enhancing the capabilities of Android agents. However, guiding agents to learn through onli...
GROMACS is a de-facto standard for classical Molecular Dynamics (MD). The rise of AI-driven interatomic potentials that pursue near-quantum accuracy at MD throu...
Large language models (LLMs) have demonstrated strong capabilities in medical question answering; however, purely parametric models often suffer from knowledge ...
The widespread use of clickbait headlines, crafted to mislead and maximize engagement, poses a significant challenge to online credibility. These headlines empl...
Clinical expertise improves not only by acquiring medical knowledge, but by accumulating experience that yields reusable diagnostic patterns. Recent LLMs-based ...
The Data Dilemma in AI Training If you’ve been using LLMs or AI agents for a while, you’ve probably wondered how these tools will be trained in the near future...
