Latest in AI

Cogent AI team released Cogent VR-1, a reasoning model post-trained specifically for cybersecurity rather than picking up cyber capability as a side effect of general coding strength. It ships with two companions: IntrusionBench, a benchmark that scores agents on completed enterprise intrusions, and the Cogent AI Harness, a governed runtime for security agents. The launch […]

The post Cogent AI Team Releases VR-1: A Frontier Cyber Reasoning Model That Composes and Verifies Enterprise Attack Paths appeared first on MarkTechPost.

RWS Holdings has agreed to buy Acogroup, the French parent of language and content services group Acolad, for an enterprise value of £22.4 million (€26.0 million), a price the AIM-listed acquirer puts at two times Acolad's adjusted EBITDA for the year to 30 September 2027. The cheque is larger than that figure suggests. RWS will pay total consideration of £40.2 million (€46.6 million), which includes payment for roughly £17.8 million of cash sitting in the business at completion. Strip that out…

Amap, Alibaba's location-based services platform, says its interactive world model ABot-World-0 now sustains a single continuous session for as long as 24 hours on one consumer graphics card, and it has published the whole run as a seekable record rather than a highlight reel. The page lets anyone jump to any second of the day-long rollout, with fixed entry points at the six-, twelve- and eighteen-hour marks, alongside five more complete runs through grassland, desert, city and snowfield…

Companies tend to pick their first agent job the same way. Somebody asks what AI could do for us, and the room converges on the work everyone can picture: write our blog posts, answer our customers, handle the inbox. It's the most visible work in the building, so it's the work that comes to mind. Six months later the pilot is quietly parked and the conclusion is that the technology wasn't ready. The technology was fine. The job selection was the problem, and visibility is what made it a bad…

Onton, a San Francisco-based search and discovery company, has released Ontology 1, a neurosymbolic model for complex, conversational, multimodal product search. On a 90-query benchmark scored by three independent LLM judges, Ontology 1 reached a mean precision@10 of 0.630, against 0.543 for Google Shopping and 0.469 for Amazon. It did this while indexing roughly 1% […]

The post Onton Releases Ontology 1: A Neurosymbolic Search Model That is 2.7x More Accurate than the World’s Best E-commerce Search Engines appeared first on MarkTechPost.

In this tutorial, we design a complete GeoAI workflow for extracting building footprints from high-resolution NAIP aerial imagery. We begin by configuring the geospatial deep learning environment, downloading raster imagery and vector labels, and inspecting their spatial properties before generating georeferenced image chips and segmentation masks. We then train a U-Net model with a ResNet-34 […]

The post A Tutorial on GeoAI: Designing Footprint Extraction from NAIP Imagery Using U-Net, Grounding DINO, SAM, and Mask R-CNN appeared first on MarkTechPost.

Inkling-Small matches Inkling at a quarter the size, and its NVFP4 checkpoint runs on one NVIDIA B300 GPU

The post Thinking Machines Lab Releases Inkling-Small: A 276B Total, 12B Active Open Weights Multimodal MoE Model appeared first on MarkTechPost.

Agentic RL research is constant algorithm modification, and in mainstream frameworks every change threads through trainer, distributed backend, and rollout glue. NVIDIA's Molt targets that cost with about 8.6K lines of RL code, composing Ray, vLLM, and NeMo AutoModel around one asynchronous loop. The agent stays ordinary Python, trajectories stay token-exact, and throughput comes out statistically comparable to a Megatron-based stack.

The post NVIDIA AI Releases Molt: A PyTorch-Native Agentic Reinforcement Learning Framework appeared first on MarkTechPost.

In this tutorial, we build an advanced end-to-end time-series forecasting workflow with TimesFM 2.5. We begin by configuring the runtime, installing the required dependencies, detecting available hardware, and generating a realistic multi-store retail dataset with trend, seasonality, pricing, promotions, holidays, temperature effects, and random variation. We then load and compile the TimesFM 2.5 model, examine […]

The post End-to-End Forecasting with TimesFM 2.5: Backtesting, Covariates, Anomaly Detection, and Scalable Colab Deployment appeared first on MarkTechPost.

Anthropic went back through 141,006 cybersecurity evaluation runs and found three incidents — six runs in all — where a Claude model climbed out of the exercise and into real companies' production systems. Not a jailbreak. Not an escape attempt. In its own account of the incidents, the company is explicit that in none of the three cases did the model try to exfiltrate itself or break out of its test environment. It just kept doing the job it was given, and the job led somewhere real. That…

AMD released Instella-MoE-16B-A3B, a fully open Mixture-of-Experts language model trained from scratch on Instinct MI300X and MI325X GPUs. It holds 16B total parameters but activates only 2.8B per token, using Gated MLA and FarSkip-Collective. AMD published weights from every training stage, plus data mixtures, configs, and inference code.

The post AMD Releases Instella-MoE-16B-A3B: A Fully Open Mixture-of-Experts LLM With 2.8B Active Parameters Trained On Instinct GPUs appeared first on MarkTechPost.

Discover how to optimize transformer workloads using the NVIDIA Transformer Engine. This tutorial guides you through configuring fused GPU kernels, implementing FP8 delayed scaling, and benchmarking model performance. Learn to build and train efficient GPT-style causal language models in PyTorch with practical code examples and performance analysis.

The post Accelerating Transformer Training with NVIDIA Transformer Engine, Fused Kernels, BF16, FP8, and GPU Benchmarking appeared first on MarkTechPost.

Supabase has open sourced supabase/evals, an Apache-2.0 benchmark and framework that runs coding agents including Claude Code, Codex and OpenCode against real Supabase tasks — building schemas, debugging Edge Functions, fixing RLS policies — inside containerized stacks, then scores them with deterministic checks and LLM-as-a-judge.

The post Supabase Releases Evals: an Open Source Benchmark That Scores Claude Code, Codex and OpenCode on Real Supabase Tasks appeared first on MarkTechPost.

MiniMax releases MiniMax H3, a general-purpose multimodal generation model. MiniMax H3 is not a text-to-video model with add-ons. MiniMax describes it as a general-purpose multimodal generation model that reads text, images, video, and audio as one unified context and returns video with native stereo sound. The mains specs include: 2K output, 4–15 seconds, integer durations […]

The post MiniMax Releases MiniMax H3: An Omni-Modal Video Model That Generates 15-Second 2K Clips With Native Stereo Audio appeared first on MarkTechPost.

Have you ever had an app idea you were convinced could be useful, only to realize building it would require months of coding, hiring a developer, or learning an entirely new skill? That’s the problem Superapp is trying to solve. Instead of starting with code, you start with a prompt. Describe the app you want, and Superapp uses AI to generate a native iOS app built with Swift and SwiftUI. Yet for many creators, the biggest barrier isn’t coming up with an idea. It’s turning that idea into…

DeepSeek published DeepSeek-V4-Flash-0731 on Hugging Face and moved the official V4-Flash API into public beta on July 31, 2026. The model card is explicit that this is the official release superseding the preview, and that the architecture and size are unchanged. The gains come from re-post-training, not a new design. The checkpoint ships with the […]

The post DeepSeek Upgrades DeepSeek-V4-Flash-0731 with Major Agentic and Coding Gains appeared first on MarkTechPost.

OpenAI has found more cases in which its autonomous agents escaped the environments built to contain them, two people familiar with the matter told Reuters in a report published July 31, 2026. The breakouts surfaced inside the investigation the company opened after its own models compromised Hugging Face's production infrastructure, and one of those people said the escapes were limited in nature, with none of the agents thought to have left OpenAI's network. That account tracks what OpenAI has…

Discover how to implement a streaming 3D reconstruction pipeline using LingBot-Map. From GPU-aware configuration and preprocessing to GCTStream model inference and point cloud generation, this guide walks you through the steps to convert image or video sequences into consistent 3D scenes with exportable PLY and NPZ artifacts.

The post LingBot-Map Tutorial: GPU-Aware Inference and Point Cloud Export appeared first on MarkTechPost.

Google removed the AI image-generation feature from Google Earth on July 31, 2026, about a day after switching it on for every user of the browser version. The company said it is "rolling back this feature in Google Earth while we work on implementing stronger guardrails." The feature had shipped on July 30, 2026. Bryan Horowitz, a product manager on Google Earth, described it in the launch post as a "create image" button in Earth on the web: zoom to any location, type a prompt, and Nano Banana…

Anthropic disclosed on July 30, 2026 that three of its Claude models gained unauthorized access to the production systems of three real organizations during offensive-security testing, after a misconfigured evaluation environment gave the models live internet access they had been told they did not have. The lab found the incidents in its own logs. It reviewed 141,006 evaluation runs in which Claude could have obtained internet access and identified three incidents spread across six of them…