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Monday

Tuesday

  2. AWS Machine Learning

    Amazon SageMaker JumpStart 2026 Progress Review

    From January to September 2026, Amazon SageMaker JumpStart added more than 100 models from 30 providers, of which Alibaba (Qwen) contributed 29, NVIDIA 17, Mistral 7, Google 6 Gemma 4 variants, IBM 4, and Cohere 4. The new models cover multimodal, speech, image, and video generation, and introduce quantized and compact models such as GLM-5.2 FP8 and JetBrains Mellum2-12B to reduce inference costs.

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    #lab#Product updates#English text is being prepared.#English text is being prepared.
  3. Intelligent Manufacturing Network

    Shishi Technology Recognized as a National-Level Specialized, Refined, Distinctive and Innovative "Little Giant," RoboVan Autonomous Driving Commercialization Accelerates

    Shishi Technology has passed the national-level Specialized, Refined, Distinctive and Innovative "Little Giant" enterprise certification. Its RoboVan business has cumulatively connected and operated more than 30,000 vehicles, with products applied in scenarios such as express delivery and industrial parks. The company has built its own 15,000-GPU computing cluster to support L4 autonomous driving and multimodal large model research and development.

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    #hot-signal#Industry news#Embodied AI
  5. AI Business

    Neura Robotics unveils Neuron AI robot foundation model, fusing vision, touch and audio

    Germany's Neura Robotics has released Neuron AI, a robot foundation model that adds tactile and force data, audio, robot state and language on top of 3D vision, and features memory that can retain information after an object leaves the field of view. Neura plans to demonstrate it later this week at Nvidia GTC Berlin, with the humanoid robot 4NE1 completing an eleven-minute garment-handling process. The company has not disclosed the extent to which the additional sensory inputs affect performance, nor the amount of data required for training; an Interact Analysis analyst questioned whether its robot training facility can collect enough multimodal data.

    Germany's Neura Robotics has released Neuron AI, a robot foundation model that adds tactile and force data, audio, robot state and language on top of 3D vision, and features memory that can retain information after an object leaves the field of view. Neura plans to demonstrate it later this week at Nvidia GTC Berlin, with the humanoid robot 4NE1 completing an eleven-minute garment-handling process. The company has not disclosed the extent to which the additional sensory inputs affect performance

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    #hot-signal#Model releases#Multimodal#Embodied AI

Sunday

Saturday

  3. OpenRouter

    RespanAI's decision model Span-02 is now available on OpenRouter

    OpenRouter has announced that RespanAI's open-weight decision model Span-02 is now available. The model accepts text and images as input and, for custom questions, returns options, yes/no/unknown, or scores with probabilities; pricing is $0.01/M input tokens, output is free, and the context length is 131K. Respan previously described Span-02 as supporting anytime reasoning: given a deadline, it returns the best decision available at that moment, with configurable reasoning duration, and it supports multimodal viewing of images and screens.

    OpenRouter has announced that RespanAI's open-weight decision model Span-02 is now available. The model accepts text and images as input and, for custom questions, returns options, yes/no/unknown, or scores with probabilities; pricing is $0.01/M input tokens, output is free, and the context length is 131K. Respan previously described Span-02 as supporting anytime reasoning: given a deadline, it returns the best decision available at that moment, with configurable reasoning duration, and it suppo

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    #hot-signal#Product updates#OpenAI
  4. Aravind Srinivas

    Perplexity Open-Sources Two Decision Models: pplx-decider-v1.2 and flash-v1.2

    Perplexity has open-sourced two decision models: pplx-decider-flash-v1.2 has 4B parameters and costs 1 cent per million tokens, making it the strongest 4B model on the HF Decision Index; pplx-decider-v1.2 has 27B parameters and costs 2 cents per million tokens, ranking 2nd on the overall HF Decision Index leaderboard. Both are now live on the Perplexity Decisions API and offer open weights on Hugging Face. Perplexity Developers says this generation of open-weight multimodal decision models improves on both text and vision scores, delivers inference up to 5x faster, and completes all questions in a request in a single forward pass.

    Perplexity has open-sourced two decision models: pplx-decider-flash-v1.2 has 4B parameters and costs 1 cent per million tokens, making it the strongest 4B model on the HF Decision Index; pplx-decider-v1.2 has 27B parameters and costs 2 cents per million tokens, ranking 2nd on the overall HF Decision Index leaderboard. Both are now live on the Perplexity Decisions API and offer open weights on Hugging Face. Perplexity Developers says this generation of open-weight multimodal decision models impro

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    #editorial#Model releases#Open-source ecosystem#Hugging Face

Friday

  1. CNET

    Meta and Apple Partner to Release Open-Weight Model Muse Spark Open

    Meta has released the open-weight model Muse Spark Open and worked with Apple's hardware team to enable it to run efficiently on the M5 Mac Studio Ultra. The model has 42 billion active parameters, a 1 million token context window, and multimodal capabilities. Meta says it performs well on agentic and coding tasks, and the weights have been made public on HuggingFace under Meta's Muse Model license. Running the model on an Apple computer requires two Mac Studios equipped with the M5 Ultra, each starting at $5,499.

    Meta has released the open-weight model Muse Spark Open and worked with Apple's hardware team to enable it to run efficiently on the M5 Mac Studio Ultra. The model has 42 billion active parameters, a 1 million token context window, and multimodal capabilities. Meta says it performs well on agentic and coding tasks, and the weights have been made public on HuggingFace under Meta's Muse Model license. Running the model on an Apple computer requires two Mac Studios equipped with the M5 Ultra, each

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    #hot-signal#Model releases#Open-source ecosystem#Agents

Thursday