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Quantitative research agents that write their own experiments can corrupt the evidence they later learn from. A leaky feature that scores well gets stored...

PDFs are easy to read and hard to change. AI can now summarize a 90-page contract in seconds, but it still won't rewrite the source file cleanly. UPDF is built for that second half: direct editing, 14-format conversion, 38-language OCR, and ten AI agents shipped in version 2.5.

LTX-2.5 brings frontier video generation to local NVIDIA hardware: 6.8-second clips, native multishot, day-one ComfyUI, open weights.

CopilotKit has published the Channels SDK, an MIT licensed library that runs an existing AG-UI agent inside Slack and Microsoft Teams. Version 0.5.0 ships five platform adapters and a documented runtime contract. This breakdown covers the verified deployment paths, the baseline requirements, and the one dependency that is easy to miss

AI agents, MCP servers, and LLM apps break the core AppSec assumption that applications do what their code says. This guide walks through a practical see-fix-protect framework: a five-layer agentic AI attack surface map, a 12-point misconfiguration checklist, an evidence-based triage matrix, runtime guardrails, and system prompt hardening — plus a maturity self-assessment aligned to NIST AI RMF, OWASP AIMA, ISO/IEC 42001, and the EU AI Act.

Datalab rewrote Marker as a three-mode pipeline. Version 2 hits 76.0 on olmOCR-bench and sustains 2.9 pages per second on one B200 — over 5× MinerU's pipeline backend, while beating Docling on both accuracy and speed. Here's how it compares against MinerU, Docling and LiteParse, and which one fits your use case.

Introduction This tutorial starts where most agent demos stop: giving the agent persistent memory, operational context, and a place to write back what happened. An...

Ant Group's Robbyant has released the LingBot-VA 2.0 technical report — a Physical AI video-action foundation model built from scratch for embodiment rather than fine-tuned from a video generator. It predicts future states ahead of execution through Foresight Reasoning, re-grounds on every real observation, and reaches 225 Hz asynchronous control. We break down the causal DiT, the sparse-MoE video stream, the semantic visual-action tokenizer, and where the paper's own numbers don't line up.

Robbyant, Ant Group's embodied-intelligence unit, has released LingBot-World-Infinity (LingBot-World 2.0). It is a 14B causal video generation model that behaves as an interactive world simulator. The core idea is the Mixture of Bidirectional and Autoregressive (MoBA) attention mask, paired with distribution matching distillation applied over long self-rollout trajectories. Together they target long-horizon drift, the failure mode that smears textures and warps geometry in most interactive world models. A Director-Pilot agentic harness wraps the generator, where a VLM proposes events and the Diffusion Transformer renders them. The report shows a single 60-minute uninterrupted session covering 20 scenarios. But the release is thinner than the paper: one checkpoint, a 480P reference script, no deployment code, no quantitative benchmarks, and a non-commercial CC BY-NC-SA 4.0 license.

Ant Group's Robbyant has released LingBot-VLA 2.0, an Apache-2.0 vision-language-action model for cross-embodiment robot manipulation. The 6B checkpoint is pretrained on roughly 60,000 hours of data, spanning 50,000 hours of robot trajectories across 20 robot configurations and 10,000 hours of egocentric human video. It maps every embodiment into a single 55-dimensional canonical action space, covering arms, dexterous hands, waists, heads, and mobile bases. A token-level, auxiliary-loss-free Mixture-of-Experts action expert scales capacity without adding a load-balancing loss. Dual-query distillation from LingBot-Depth and DINO-Video adds geometric and temporal supervision for future-aware control. On the GM-100 generalist benchmark it outperforms π0.5 and LingBot-VLA-1.0 on both evaluated platforms.

Ant Group's Robbyant open-sourced LingBot-Vision, a self-supervised ViT family for dense spatial perception. Masked boundary modeling makes image boundaries a native training signal. The 1B backbone matches or surpasses larger models, and initializes LingBot-Depth 2.0.

WebBrain is a free, MIT-licensed AI browser agent for Chrome and Firefox. It reads pages, extracts data, and automates multi-step tasks through Ask and Act modes. Run it on local models like llama.cpp or Ollama for privacy, or connect any cloud API.

Datalab released lift, a 9B open-weights vision model that turns PDFs and images into schema-matching JSON. It uses schema-constrained decoding for valid structure and trained abstention to return null instead of hallucinating absent fields, scoring 90.2% field accuracy on a 225-document benchmark.

The concept of vibe coding is interesting; you don't need to be a developer or software engineer to build your own applications. You can...

Describe a dataset in one sentence; Bigset's orchestrator and parallel sub-agents research the live web and return structured tables.

An inside look at CopilotKit’s 2026 shipping cycle. Learn how the new AG-UI protocol, AIMock testing suite, and Pathfinder server are providing the production architecture developers need for agentic AI.

CopilotKit Intelligence adds a managed persistence layer on top of the open-source CopilotKit stack, giving agents the ability to retain context, state, and interaction history without custom storage infrastructure

Voice AI has a dirty secret. Most text-to-speech systems sound fine — until they don't. They can read a sentence. What they cannot do...

Mend.io's new framework gives engineering and security teams a practical playbook for governing AI systems before the next incident forces the conversation.

How to make multiple agents work together like an elite team — autonomously dividing tasks, communicating efficiently, and collaborating seamlessly? The openJiuwen community released the...

AI agents struggle with tasks that require interacting with the live web — fetching a competitor's pricing page, extracting structured data from a JavaScript-heavy...

Run Google’s latest omni-capable open models faster on NVIDIA RTX AI PCs, from NVIDIA Jetson Orin Nano, GeForce RTX desktops to the new DGX...

Over the past year, AI agents have evolved from merely answering questions to attempting to get real tasks done. However, a significant bottleneck has...

Autonomous LLM agents like OpenClaw are shifting the paradigm from passive assistants to proactive entities capable of executing complex, long-horizon tasks through high-privilege system...

Just months after releasing M2—a fast, low-cost model designed for agents and code—MiniMax has introduced an enhanced version: MiniMax M2.1. M2 already stood out for...

Fine-tune popular AI models faster with Unsloth on NVIDIA RTX AI PCs such as GeForce RTX desktops and laptops to RTX PRO workstations and...

NVIDIA announced today a significant expansion of its strategic collaboration with Mistral AI. This partnership coincides with the release of the new Mistral 3...

AI applications rarely deal with one clean table. They mix user profiles, chat logs, JSON metadata, embeddings, and sometimes spatial data. Most teams answer...

How do you build a language model that grows in capacity but keeps the computation for each token almost unchanged? The Inclusion AI team from...

The landscape of AI is expanding. Today, many of the most powerful LLMs (large language models) reside primarily in the cloud, offering incredible capabilities...

Agentic systems are stochastic, context-dependent, and policy-bounded. Conventional QA—unit tests, static prompts, or scalar “LLM-as-a-judge” scores—fails to expose multi-turn vulnerabilities and provides weak audit...

AI agents are no longer just chatbots that spit out answers. They’re evolving into complex systems that can reason step by step, call APIs,...

How do you create 3D datasets to train AI for Robotics without expensive traditional approaches? A team of researchers from NVIDIA released "ViPE: Video...

When we think about human intelligence, memory is one of the first things that comes to mind. It’s what enables us to learn from...

Yandex has introduced ARGUS (AutoRegressive Generative User Sequential modeling), a large-scale transformer-based framework for recommender systems that scales up to one billion parameters. This...

Table of contentsA Multimodal Radiology BreakthroughThe Challenge: Moving Beyond Image ClassificationHuman‑in‑the‑Loop at Clinical ScaleThe Dataset: PadChest‑GROutcomes and ImplicationsBroader Reflections: Why Data Matters in Medical...

AI-powered video generation is improving at a breathtaking pace. In a short time, we've gone from blurry, incoherent clips to generated videos with stunning...

Introduction AI agents are increasingly moving from pure backend automators to visible, collaborative elements within modern applications. However, making agents genuinely interactive—capable of both responding...

Despite the substantial progress in text-to-image (T2I) generation brought about by models such as DALL-E 3, Imagen 3, and Stable Diffusion 3, achieving consistent...

Yandex has recently made a significant contribution to the recommender systems community by releasing Yambda, the world’s largest publicly available dataset for recommender system...

The field of Voice AI is evolving toward more representative and adaptable systems. While many existing models have been trained on carefully curated, studio-recorded...

The current generation of AI agents has made significant progress in automating backend tasks such as summarization, data migration, and scheduling. While effective, these...

Deploying large language model (LLM)-based agents in production settings often reveals critical reliability issues. Accurately identifying the causes of agent failures and implementing proactive...

Reliable evaluation of large language model (LLM) outputs is a critical yet often complex aspect of AI system development. Integrating consistent and objective evaluation...

HIGGS — the innovative method for compressing large language models was developed in collaboration with teams at Yandex Research, MIT, KAUST and ISTA. HIGGS makes...

In today’s enterprise landscape—especially in insurance and customer support —voice and audio data are more than just recordings; they’re valuable touchpoints that can transform...

The future of robotics has advanced significantly. For many years, there have been expectations of human-like robots that can navigate our environments, perform complex...

Nomic has announced the release of "Nomic Embed Multimodal," a groundbreaking embedding model that achieves state-of-the-art performance on visual document retrieval tasks. The new...

​In the evolving landscape of web development, the emergence of no-code platforms has significantly broadened access to application creation. Among these, Hostinger Horizons stands...

After the advent of LLMs, AI Research has focused solely on the development of powerful models day by day. These cutting-edge new models improve...

Yandex, a global tech company, develops and open-sources Perforator, an innovative tool for continuous real-time monitoring and analysis of servers and applications. Perforator helps developers...

Bagel is a novel AI model architecture that transforms open-source AI development by enabling permissionless contributions and ensuring revenue attribution for contributors. Its design...

With AI Agents being the Talk of the Town, CopilotKit is an open-source framework designed to give you a holistic exposure to that experience....

The Problem: Why Current AI Agent Approaches Fail If you have ever designed and implemented an LLM Model-based chatbot in production, you have encountered the...

When it comes to AI tools, chatbots are often the first thing that comes to mind —conversation-based interfaces for users to write queries and...

LG AI Research has released bilingual models expertizing in English and Korean based on EXAONE 3.5 as open source following the success of its...

Kili Technology recently released a detailed report highlighting significant vulnerabilities in AI language models, focusing on their susceptibility to pattern-based misinformation attacks. As AI...

LLMWare.ai, a pioneer in deploying and fine-tuning Small Language Models (SLMs) announced today the launching of Model Depot in Hugging Face, one of the...

Predibase announces the Predibase Inference Engine, their new infrastructure offering designed to be the best platform for serving fine-tuned small language models (SLMs). The...

CopilotKit has emerged as a leading open-source framework designed to streamline the integration of AI into modern applications. Widely appreciated within the open-source community,...

In an era of AI-transforming industries, CodeMaker AI has achieved a landmark breakthrough by autonomously recreating a 90,000-line software library with an astounding 91%...

Building on LG AI Research’s remarkable achievements in AI language models, especially with the launch of EXAONE 3.0, the development of EXAONEPath represents another...

Introduction to EXAONE 3.0: The Vision and Objectives EXAONE 3.0 represents a significant milestone in the evolution of language models developed by LG AI Research,...

iAsk Ai has quickly become a leader in AI search. iAsk Ai's search engine is powered by iAsk Pro, their latest model that has...

Tau is a logical AI engine that enables the creation of software and AI capable of fully mechanized reasoning, allowing software built with Tau...

Arcee AI, an artificial intelligence AI company focussing specially on small language models, is introducing its first-of-its-kind Arcee Swarm. The release, which is coming...

Introduction Mainframe operating systems, originating in the 1940s, remain essential to critical sectors such as finance and government. However, the vast legacy of COBOL code—estimated...

Introduction: Code Large Language Models (CodeLLMs) have demonstrated remarkable proficiency in generating code. However, they struggle with complex software engineering tasks, such as developing an...

Taipy and Streamlit have garnered significant attention among data scientists & machine learning engineers in Python-based web application frameworks. Both platforms offer unique functionalities...

Arcee AI has announced the release of DistillKit, an innovative open-source tool designed to revolutionize the creation and distribution of Small Language Models (SLMs)....

Dolphin{anty} antidetect browser stands out as a robust solution designed to help users maintain anonymity, manage multiple accounts efficiently, and navigate the web securely.  This...

In the modern world, efficiency is key. Companies are constantly seeking ways to streamline their operations, reduce bottlenecks, and increase productivity.  Bitrix24 is comprehensive platform...

It’s exciting to note that LLMWare.ai has been selected as one of the 11 outstanding open-source AI projects shaping the future of open source...

For those just starting out with Python programming, the vast number of available libraries can seem staggering. It appears that there's a Python framework...

Rightsify's Global Copyright Exchange (GCX) offers vast collections of copyright-cleared music datasets tailored for machine learning and generative AI music initiatives.  These datasets encompass...

Facing constant frustration with slow and error-prone manual processes, many users struggle to bypass platform detections, especially when security concerns loom large over profile...

There is a ton of information these days on every single phase involved in building AI algorithms, and this is great! This covers loading/preparing data,...

What is CopilotKit? CopilotKit is an open-source framework designed to facilitate the integration of AI into applications. With 4.4k+💫Git Stars, it has received great appreciation...

Content is king. We all know that, right? Well, in today’s world, visual content has become king, with images and videos serving as not...

Over the years, I have been involved in implementing many “smart software” projects that demonstrated high benefits to major organizations. At the heart of...

Taipy is an innovative open-source tool designed to streamline the creation, management, and execution of data-driven pipelines with minimal coding effort. With an astounding...

As enterprises look to deploy LLMs in more complex production use cases beyond simple knowledge assistants, there is a growing recognition of three interconnected...

Large language models (LLMs) have made impressive advancements in generating coherent text for various activities and domains, including grammatical error correction (GEC), text simplification,...

Traditional methods of voiceover and dubbing often struggle when it comes to aligning spoken words in a new language with the original lip movements,...

Last month, Ai Bloks announced the open-source launch of its development framework, llmware, for building enterprise-grade LLM-based workflow applications. Today, Ai Bloks takes another...

The rapid development of AI is giving rise to an increasing number of Digital Workers, AI agents & AI agent platforms that are capable...

Being a Chief Technology Officer (CTO) of a fast-growing AI company, Pixis, my team and I are constantly striving towards answering one key requirement:...

In 2002, JOE & THE JUICE emerged as a Danish urban oasis, captivating health-conscious consumers with its organic, locally sourced juices and coffee. Quickly...

Despite the massive interest in Large Language Models LLMs over the last year, many enterprises are still struggling to realize the full potential of...

In an industry where change is the only constant, GPTConsole has introduced a trio of AI agents that stand out for their innovative capabilities....

In the fast-paced world of software development, writing tests is often considered a tedious task that takes time away from actual coding. Meet CodiumAI,...

ChatGPT, Bard, and Bing can output AI-generated content faster than Usain Bolt can run the 100m. But with this speed comes issues—the content quality...

In today's digital age, having a website is non-negotiable for anyone seeking to establish a strong online presence. However, the thought of diving into...

It seems like every time that someone writes about productivity, they start off by painting a bleak picture. "In today's digital era, where nobody...

Artificial Intelligence (AI) and Predictive Analytics are reshaping the way all businesses operate. In this article, we will key in on engineering applications of...

TTS systems and artificially intelligent video creators are revolutionizing how we engage with information. In today's increasingly digital environment, people value having ready access...

In the era of social media and selfies, capturing flawless photos has become an essential part of our lives. But let's face it -...

With automation coming to the forefront of technology trends in 2023, document scanning technologies are rising in popularity. ICR and OCR technology removes the...

Nowadays, constructing a large-scale dataset is the prerequisite to achieving the task in our hands. Sometimes the task is a niche, and it would...

Deep Learning (DL) advances have cleared the way for intriguing new applications and are influencing the future of Artificial Intelligence (AI) technology. However, a...