AWS Machine Learning Blog3434OpenFold3-preview can be deployed on Amazon SageMaker JumpStart, an open-source biomolecular structure prediction model developed by the OpenFold Consortium and AlQuraishi Lab at Columbia University, supporting 3D structure prediction for proteins, DNA, RNA, small molecule ligands, and their complexes.
AWS Machine Learning BlogDevelopers using coding agents like Claude Code and OpenAI Codex CLI need to be billed per task rather than per single call, so model routing should be based on the cost per task. NVIDIA NeMo Switchyard is an open-source library that helps AI agents select models to process each request, supporting Stage and Random routing strategies.
Ant Group inclusionAI · Hugging Face new modelsinclusionAI has released the Duo 1.2 causal-base model, a full-duplex multimodal world model for real-time audio-video interaction, featuring improved generation quality, and model weights can be downloaded from Hugging Face.
Ant Group inclusionAI · Hugging Face new modelsinclusionAI releases Duo-1.0-distill, a full-duplex multimodal world model for real-time audio-video interaction, including Realization weights with four-step distillation, which needs to be used in conjunction with the causal-base suite.
Ant Group inclusionAI · Hugging Face new modelsSingVL-4B GGUF is the GGUF version of the 4B parameter multimodal decision-making model Sing VL S1 based on Qwen3.5, which can answer named entity questions with text or JSON and up to four images, and uses a full forward pass scoring option, scoring 69.76 in the Text evaluation and 73.94 in the Vision evaluation. The model uses the llama.cpp adapter, with a default context size of 4096 tokens, supporting text and image input.
vLLM BlogDeepSeek-V4.1-Flash achieves a service capability of 1.7M tokens/s per GPU in a single NVIDIA Vera Rubin NVL72 rack, reaching up to 387 tokens/s per user, an increase of 58 times compared to GB300 NVL72.
Google Developers BlogGemini 4 Argon translates Go code panic paths into Z3 constraints, paired with Z3 to check trigger conditions, and paired with go test to replay trigger bytes, locating 3 embedded parser bugs and discovering 3 skill-lint potential bugs within 1 minute. This process is more efficient than go test -fuzz, capable of finding boundary check errors missed by fuzz testing.
PyTorch Blog5050Helion analyzes kernel IR and data flow through compile-time heuristic algorithms, selecting fast settings without slow automatic tuning, classifying kernels as matrix multiplication, reduction, or point-wise operations, and choosing block size, warps, and phases to achieve near-automatic tuning speed.
AWS Machine Learning Blog5858Amazon Bedrock Managed Knowledge Base achieves fine-grained access control for enterprise AI agents by injecting user context into the AgentCore Gateway tool layer and verifying JWT, combined with the ACL-aware functionality of the knowledge base.
PyTorch BlogThe EUROPA Union successfully trained a MoE model with 951.9B parameters on the JUPITER supercomputer using PyTorch and TorchTitan, increasing single GPU throughput from 90 to approximately 1,300 tokens/s with 384 NVIDIA GH200 GPUs.
Apple Machine Learning ResearchState Space Models (SSMs) lag behind Transformers in contextual learning and precise retrieval tasks, as their gating mechanism leads them to first learn memory solutions, delaying or preventing the convergence of correct contextual learning solutions, but the gating mechanism is beneficial for improving long sequence generalization.
Hugging Face Blog3838Hugging Face's blog introduces the Token Pooling perception training method for multi-vector embedding models, which compresses storage by merging similar tokens through HierarchicalTokenPooling.
Ant Group inclusionAI · Hugging Face new modelsinclusionAI has released the ZoomGain-4B large language model, achieving a score of 61.08 on ZoomGainBench and performing excellently on multiple fine-grained perception and general perception benchmark tests; the model is built with supervision based on the global-to-local visual perception gap mined from global image details, supporting English and Chinese Q&A, and can be downloaded via Hugging Face.
Ant Group inclusionAI · Hugging Face new modelsinclusionAI/ZoomGain-4B-GGUF is a 175B parameter multimodal model supporting image input, using FP16, Q8_0, and Q4_K_M precision quantization. The model includes a language model and mmproj visual encoder/projector, converted to GGUF format via llama.cpp. It provides llama-mtmd-cli for command-line inference and llama-server for network chat functionality.
Ant Group inclusionAI · Hugging Face new modelsThe GGUF format weights for inclusionAI/ZoomGain-9B have been released, converted using llama.cpp, with the language model in FP16, Q8_0, Q4_K_M. The visual encoder and projector (mmproj) also adopt this quantization scheme. Both the language model and mmproj files need to be provided for image input, supporting CLI inference (llama-mtmd-cli) and Web Chat (llama-server) deployment.
Ant Group inclusionAI · Hugging Face new modelsSing VL S1 is a multimodal decision-making model based on Qwen3.5, capable of answering named entity questions with text or JSON and up to four images, scoring options for each question using a single Transformers forward pass, performing excellently on 43 text datasets and 11 visual datasets, supporting Python 3.12 and PyTorch inference.
NVIDIA BlogThe NVIDIA Jetson Orin NX module is used for inference on the pilot line of AIRECO's recycling plant, driving a robotic arm to pick up target objects from a conveyor belt with an accuracy rate of 95%; plans are to increase the annual processing capacity from 18,000 tons to 48,000 tons next year, reducing operating costs by 85%.
AWS Machine Learning BlogMoonshot AI's Kimi K3.1 Pro Highspeed has been released on Amazon Bedrock, the model being a post-training version of the Kimi K3.
Meta EngineeringMeta open-sources Triton Low-Level Extensions (TLX) compiler, enhancing GPU performance by introducing explicit warp-group and cluster-level orchestration, supports RecSys training/inference and LLM pre-training, achieving end-to-end performance improvements over standalone libraries on NVIDIA and AMD GPUs.
MiniMax NewsFeatured8080MiniMax has released an open-source weight image generation model based on H3, H3-Image, which supports text-to-image, reference image generation, and image editing, capable of generating 4096 × 4096 4K images within 10 seconds, and supports up to 16 reference images.
Why it matters: The official provides 4K generation speed, reference image quantity, and pricing range, which can be used to judge the gap between open-source image models and closed-source solutions.
Claude.dev BlogAnthropic has launched four Claude models for users to choose from: Claude Haiku 5.5, Claude Sonnet 5.5, Claude Opus 5.5, and Claude Fable 5.2.
AWS Machine Learning Blog5858NVIDIA Nemotron 3.5 Super VL is now available on Amazon SageMaker JumpStart, supporting text generation from image, video, and text inputs.
AWS Machine Learning Blog3838CrossnoKaye achieves industrial physical AI on Amazon Bedrock AgentCore through its ATLAS platform and AURA agent, improving production efficiency by 11-17% and reducing energy consumption by 21%. AURA leverages AgentCore's code interpreter capabilities to run Python workloads in isolated micro VMs to verify numerical calculations, while achieving closed-loop control through edge clusters and cloud optimization systems.
Berkeley AI Research2222BAIR team presented multiple research achievements at the Robot Learning Conference (CoRL) held from November 9 to 12, 2026, in Austin, Texas, including 33 main conference papers, 4 breakthrough posters, 10 oral presentations, and 7 thematic speeches, among which Professor Negar Mehr will deliver an early career keynote speech. The conference covers topics such as robotic vision-language-action models, embodied agents, fine-grained manipulation alignment, and hindsight reward editing.
MiniMax · Hugging Face new modelsMiniMax-H3-Image-PE uses prompt expansion (PE) to convert short requests into detailed image descriptions and recommends aspect ratios. It supports two workflows: text-to-image (T2I) and image editing, using fine-tuned FP4 weights from Qwen3.8-27B. The online API can be accessed via platform.minimax.io or platform.minimax.cn, and the documentation provides support in both Chinese and English.
AWS Machine Learning Blog5858Amazon SageMaker Inference now supports GPU partitioning, dividing physical GPUs into independent partitions via NVIDIA Multi-Instance GPUs (MIG), where each partition receives a fixed share of GPU computing units and dedicated memory blocks for isolation. Deploy more models in isolation and choose the appropriate size of GPU units on demand to reduce costs, with a maximum of 7 partitions per GPU, no need to build Kubernetes yourself.
Claude Code releases2222Claude Code v2.1.319 released, automatic mode is changed when telemetry or feature flags are disabled, server-side checks are disabled; server-side checks enabled after LLM gateway need to set CLAUDE_CODE_AUTO_MODE_SERVER=1.
Hugging Face Blog5858Hugging Face released ToyBlocks, a framework for robot learning and evaluation that provides a controlled simulation environment. The framework supports automatically generating tasks and training demonstrations, and includes metrics to measure changes in robot behavior over time, aiming to study how models improve with more training data and how to combine advanced reasoning with precise physical control.
Microsoft ResearchThe PDD Kit translates user intent into formal specifications and verifies whether the code written by the agent for each input conforms to these specifications, supplemented by testing. The team officially validated the Rust-written Pet Store login logic using the Chopin environment on GitHub Next with the PDD Kit, and the Verus tool discovered and fixed existing bugs, proving no login bugs under the specification.
OpenAI NewsFeatured6262OpenAI has released Images 2.6, bringing faster image generation, GIF creation, more precise editing, and new API controls. This version covers three access points: ChatGPT, Codex, and API.
Why it matters: The original text lists four changes: image generation speed improvement, GIF creation, more precise editing, and API control, which can be used to judge the boundary of image capabilities for ChatGPT, Codex, and API.
OpenAI Deployment SafetyGPT-Image-2.6 Sunburst and GPT-Image-2.6 Flare are trained on public data, third-party collaboration data, and user-generated data, employing a strict data filtering process including advanced privacy information filtering and security classifiers to reduce harmful content.
Google ResearchThe Agile Deliberation framework assists humans in defining the boundaries of subjective concepts through iterative dialogue, transforming fuzzy ideas into precise AI instruction blueprints. The framework is divided into two stages: concept definition and concept iteration, which processes fuzzy images through direct feedback. In 18 user experiments of 1.5 hours each, it significantly reduces user fatigue and anxiety, making AI model performance superior to standard baselines.
AWS Machine Learning Blog2828Amazon Bedrock now supports inference for Kimi K3 within India, meeting strict data localization requirements. Customer Ultrahuman enables their AI health assistant to handle over 14,000 daily conversations through API calls, while keeping health data within AWS, reducing costs by 80% and improving multi-turn conversation speed by 85%.
AWS Machine Learning Blog3434Run Strands Agents on Amazon Bedrock AgentCore using EDB Postgres AI to answer C360 (Customer 360) questions by querying the semantic layer.
MiniMax · Hugging Face new modelsMiniMax-H3-Image is an open-source image generation and editing model in the MiniMax H3 family, supporting 16MP image generation, image editing, and up to 16 reference images. It adopts the H3 architecture and uses the Qwen3-VL text encoder, with 68.65GB of BF16 precision model weights provided on Hugging Face.
Moonshot AI · Hugging Face new modelsKimi K3.1 Pro is an open-source multimodal AI model by Moonshot AI, with 2.8T parameters, 104B activation parameters, and a context window of 1M tokens, demonstrating excellent performance in areas such as coding, 3D creation, and financial research. Compared to Kimi K3, it adopts Gated DSA layers to improve long text processing efficiency and has outperformed competitors like Claude Fable 5.1 and GPT-6 Astra in benchmarks such as Terminal-Bench 4.0.
Hugging Face Blog4040MonsterHouse is an interactive projection built with NVIDIA Nemotron Voice Agent, NVIDIA Nemotron ASR, NVIDIA Nemotron 3.5 Bolt E4B 4GB, Magpie TTS Zeroshot, and Audio2Face-3D, which can communicate with visitors through voice and imitate the voice of a grumpy old pirate.
Ant Group inclusionAI · Hugging Face new models3838inclusionAI releases ZwZ2-9B GGUF format weights, belonging to the Zooming without Zooming v2 project, including language models (FP16, Q8_0, Q4_K_M) and visual encoders and projectors (mmproj, FP16, Q8_0, Q4_K_M), requiring pairing with llama.cpp Qwen3.5 multimodal support for use, supporting CLI inference and Web Chat deployment.
