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Latest articles, page 48

  1. Sentante Begins Commercial Rollout of Endovascular Surgical Robot with Physical AI Telemetry

    Lithuanian medical robotics company Sentante has initiated commercial deployment of its CE-marked endovascular robotic platform, launching revenue clinical operations across European vascular surgery and interventional radiology departments. The platform is designed to perform catheter-and-guidewire vascular interventions while capturing synchronized procedural telemetry to train downstream physical AI navigation models. Teleoperated Architecture and Standard Tool Interoperability Sentante's

    Robotics
    2 min read
  2. Scalable Capital Integrates ChatGPT and Claude for Brokerage Trades and Portfolio Analysis

    European digital wealth manager Scalable Capital has introduced direct integration allowing account holders to link their brokerage accounts to conversational artificial intelligence platforms, including OpenAI's ChatGPT and Anthropic's Claude. The feature enables retail investors to analyze portfolio performance, query asset allocation breakdowns, and initiate trade execution directly from conversational chat environments. Scalable Capital represents the first European brokerage to establish n

    Fintech
    1 min read
  3. Unitree Shares Fall 45% After Shanghai Debut as Humanoid Valuations Face Scrutiny

    Shares of Hangzhou-based humanoid robot manufacturer Unitree Robotics have fallen approximately 45 percent from their peak following an initial surge on the Shanghai STAR Market, reducing the company's market capitalization from a high of $66 billion down to roughly $36 billion. The sharp decline across three consecutive trading sessions follows a debut that saw shares close up 460 percent on their first day of trading. The post-listing volatility has intensified debate among market analysts an

    Robotics
    2 min read
  4. Airbound Raises $37M Series A Led by Greenoaks to Scale Autonomous Drone Freight

    Autonomous aerial delivery startup Airbound has raised $37 million in a Series A funding round led by Greenoaks, with participation from DoorDash, Lightspeed, Humba Ventures, and Physical Intelligence co-founder Lachy Groom. The financing follows an $8.65 million seed round completed less than a year prior, bringing total capital raised by the three-year-old Bengaluru-based company to approximately $50 million. Airbound plans to deploy the proceeds to scale manufacturing, expand commercial deli

    AI
    2 min read
  5. ARIA Bans Wholly AI-Generated Music from Australian Charts Under Updated Code

    The Australian Recording Industry Association (ARIA) has introduced a formal prohibition on songs created mostly or entirely by artificial intelligence, updating its official Charts Code of Practice to disqualify non-human recordings starting August 29, 2026. Under the revised framework, tracks produced through generative AI models are ineligible for the official Australian music rankings unless the work is demonstrated to be "substantially human-made" and presents no risk of streaming or chart

    AI
    2 min read
  6. Low-Rank Adaptation (LoRA) and DoRA: Mathematical Foundations, Intrinsic Dimensionality, and Directional Weight Decomposition

    Low-Rank Adaptation (LoRA) and DoRA: Mathematical Foundations, Intrinsic Dimensionality, and Directional Weight Decomposition Full-parameter fine-tuning of large language models presents prohibitive memory requirements during training. Standard full fine-tuning requires updating every weight matrix in a model, demanding storage not only for the model parameters themselves, but also for activation tensors, backward gradients, and first- and second-moment optimizer states. For a 70-billion-parame

    AI
    15 min read
  7. Model Merging in Production: Comparing Task Arithmetic, TIES-Merging, DARE, and SLERP Architecture, Weight Interference Mitigation, and Serving Economics

    Model Merging in Production: Comparing Task Arithmetic, TIES-Merging, DARE, and SLERP Architecture, Weight Interference Mitigation, and Serving Economics In production language model deployment, teams frequently encounter a fundamental operational tension: specialized task performance versus serving cost. Fine-tuning distinct base model instances on specific internal domains (such as code generation, legal document analysis, mathematical reasoning, and safety alignment) produces high task accur

    AI
    9 min read
  8. Hugging Face Evaluates Acquisition Inquiries at $13B Valuation

    Open-source machine learning hub Hugging Face has received preliminary acquisition approaches that value the company at $13 billion or higher, according to reporting from Business Insider and TechCrunch. The company is reportedly consulting with investment banks to assess inbound interest, though no formal sale agreement has been signed. The prospective valuation represents nearly a three-fold increase from Hugging Face's August 2023 Series D funding round, which valued the company at $4.5 bill

    AI
    2 min read
  9. Stripe to Acquire AI Gateway Startup OpenRouter for a Reported $7.5B

    Stripe said on August 19 that it has agreed to acquire OpenRouter, the AI model routing platform, and did not disclose terms. Bloomberg first reported on August 16 that the companies had finalized a deal worth more than $7 billion. The New York Times, citing a person familiar with the matter, put the price at about $7.5 billion, with $1.5 billion allocated to OpenRouter's founders, CNBC reported. OpenRouter announced in May that it had raised a $113 million Series B at a reported $1.3 billion v

    AI
    2 min read
  10. Speculative Decoding in Production Serving: Comparing Small Draft Models, Medusa, EAGLE-2, and Lookahead Decoding Architecture, Verification Tree Overhead, and Throughput Economics

    Large language model inference during autoregressive decoding is structurally memory-bandwidth bound. During generation, each forward pass loads the model weight matrices (tens to hundreds of gigabytes) from High-Bandwidth Memory (HBM) into on-chip SRAM to produce a single token. Because the arithmetic intensity is close to zero, modern accelerators like the NVIDIA H100 and B200 spend the vast majority of their compute cycles stalled on memory bus transfers rather than executing matrix multiplic

    AI
    7 min read