Artificial Intelligence & Machine Learning

Anscer Robotics Launches LBR 500 AMR to Automate Indian Manufacturing Bengaluru-based Anscer Robotics has launched the LBR 500, a low-bed autonomous mobile robot (AMR) designed to automate material movement using trolleys within Indian manufacturing facilities. Developed in response to the widespread use of trolleys for material handling in local factories, the LBR 500 is engineered for compatibility with a diverse range of existing trolleys. The AMR features a 500 kg load capacity, an 8-hour operational runtime on a single charge, and a top speed of 1.2 meters per second. To ensure safe collaboration with human workers, the robot adheres to ISO 13849 and PLd Category 3 safety standards. Anscer Robotics is also making the technology accessible to small and medium-sized enterprises through a Robots-as-a-Service (RaaS) model. ...

Meta and Google Ink Massive $10 Billion Cloud Computing Deal for AI Expansion Meta Platforms and Google have reportedly entered into a six-year cloud computing agreement valued at over $10 billion. This strategic partnership will see Meta leverage Google Cloud’s servers, storage, and networking services to power its expanding AI infrastructure. The deal comes as Meta plans to invest hundreds of billions in building large-scale AI data centers. This agreement marks Google’s second major cloud deal recently, following a similar one with OpenAI, highlighting the surging demand for robust cloud infrastructure to support advanced AI development. To help finance these ambitious projects, Meta is also seeking external partners and plans to offload $2 billion in data center assets. ...

Meta and Google Cloud Forge $10 Billion AI Partnership Meta Platforms has entered into a landmark six-year agreement with Google Cloud, valued at over $10 billion, to significantly enhance its artificial intelligence infrastructure. This strategic partnership will see Meta leverage Google Cloud’s comprehensive suite of services, including servers, storage, and networking, to power its ambitious AI expansion. The deal is a critical component of Meta’s plan to scale its data center capacity to approximately 1 gigawatt of compute power, utilizing over 1.3 million GPUs in 2025. This collaboration underscores the intense investment and competition within the AI sector, as tech giants commit substantial capital to advance their capabilities. For Google Cloud, this agreement represents a major victory in its ongoing competition with other leading cloud providers. ...

Liquid AI Releases LFM2-VL: Open-Weight Vision-Language Models for On-Device AI Liquid AI has released LFM2-VL, a new family of open-weight vision-language foundation models created for low-latency, on-device deployment. The new models are designed to run efficiently on smartphones, laptops, wearables, and other embedded systems without needing to rely on cloud infrastructure. LFM2-VL is available in two versions: LFM2-VL-450M for highly resource-constrained devices and the more powerful LFM2-VL-1.6B. These models can process both text and images, offering up to twice the inference speed on a GPU compared to similar existing models. The models are available on Hugging Face under a license based on Apache 2.0, allowing for free academic and research use, as well as commercial use for smaller companies. ...

Cyware Launches Open-Source AI Server to Secure Threat Intelligence At the Black Hat USA 2025 conference, cybersecurity firm Cyware announced the launch of its open-source Model Context Protocol (MCP) Server. This new tool is designed to securely connect large language models (LLMs) with threat intelligence and automation systems. The MCP Server allows security teams to use natural language inputs to initiate real-world actions and investigations while maintaining full context and control. The move reflects a broader trend of viewing AI as a practical tool for improving security operations by reducing investigation times and improving data correlation. By open-sourcing the server, Cyware aims to foster collaboration and interoperability within the cybersecurity community. ...

Medallion Raises $43M to Streamline Healthcare Credentialing with AI Platform Medallion, a healthcare technology company, has secured $43 million in new funding for its AI-powered platform, CredAlliance. The platform is designed to streamline the complex healthcare credentialing process for both insurers and clinicians. It manages the entire provider lifecycle—including credentialing, enrollment, onboarding, and compliance—aiming to significantly reduce administrative waste and combat clinician burnout. CredAlliance acts as a unified system for provider data management, enabling customers to efficiently verify credentials and maintain up-to-date network information. This latest investment, led by Acrew Capital, elevates Medallion’s total funding to $130 million and will fuel the expansion of the platform’s capabilities. ...

Weekly Tech News Digest: August 17, 2025 AI Trial Aims to Accelerate NHS Hospital Discharges An artificial intelligence (AI) tool designed to accelerate the patient discharge process is being trialed at a London hospital trust. The platform aims to reduce delays and free up beds by automatically completing the necessary documents for patients fit to go home. Piloted at the Chelsea and Westminster NHS trust, the technology extracts information from medical records, such as diagnoses and test results, to draft discharge summaries. Health Secretary Wes Streeting stated that this innovation will allow doctors to spend less time on paperwork and more on patient care, ultimately helping to cut down waiting times. The tool will be hosted on the NHS Federated Data Platform, a system intended to improve collaboration between healthcare organizations. ...

Artificial Intelligence & Machine Learning Meta Faces Backlash Over AI Guidelines Permitting ‘Sensual’ Chats With Minors Meta is under intense scrutiny after a report revealed its internal AI guidelines permitted chatbots to engage in ‘romantic or sensual’ conversations with children. An internal policy document, which the company confirmed as authentic, outlined rules that allowed for inappropriate interactions, sparking public backlash and prompting an investigation from US Senator Josh Hawley. The guidelines also reportedly allowed the AI to generate false medical information and assist with racially insensitive arguments. In response, Meta stated the examples were ’erroneous and inconsistent’ with their policies and have since been removed, acknowledging inconsistent enforcement of their safety rules. ...

Google Launches Gemma 3 270M: A Compact AI Model for Specialized Tasks Google has introduced Gemma 3 270M, a new and compact AI model featuring 270 million parameters. This model is engineered for efficient, task-specific fine-tuning and offers robust instruction-following capabilities directly out of the box. Its minimal footprint makes it ideal for on-device and research applications, enabling developers to build and deploy multiple custom models for tasks like text classification and data extraction without requiring significant computational overhead. Google is providing both pretrained and instruction-tuned versions of the model through platforms such as Hugging Face, Ollama, and Kaggle. ...

How Google AI’s New Method Reduces LLM Training Data by 10,000x Google Research has unveiled a groundbreaking method for fine-tuning large language models (LLMs) that reduces required training data by up to 10,000 times. This innovative approach utilizes active learning to focus expert labeling on the most informative examples, especially “boundary cases” where model uncertainty is highest. In experiments with Gemini Nano models, this technique matched or surpassed the quality of models trained on 100,000 random labels with as few as 250 to 450 targeted examples. This development promises to make AI model development significantly leaner, more agile, and more cost-effective. ...