Artificial Intelligence & Machine Learning

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. ...

AI Discovers Stronger, More Durable Plastics in Materials Science Breakthrough Researchers at MIT and Duke University have utilized machine learning to develop significantly more durable plastics, a breakthrough that could lead to longer-lasting products and a reduction in plastic waste. The AI model identified novel crosslinker molecules, known as mechanophores, that can be integrated into polymer materials to make them more resistant to tearing. These mechanophores respond to mechanical force, allowing the material to withstand greater stress before breaking. After the AI model performed a rapid computational analysis of thousands of potential molecules, a task that would have been incredibly time-consuming with traditional methods, researchers synthesized a polymer with one of the identified candidates. The resulting material was found to be approximately four times tougher than plastics made with standard crosslinkers. This AI-driven approach to polymer science not only accelerated the discovery process but also uncovered new design principles for creating more resilient polymers. ...

OpenAI Launches GPT-5, Its Most Advanced AI Model Yet OpenAI has officially launched GPT-5, its latest and most powerful AI system. The company touts the new generative AI model as a major leap in artificial intelligence, showcasing state-of-the-art capabilities in coding, mathematics, creative writing, and health. GPT-5 operates as a unified system, engineered to provide rapid answers for simple queries and engage in deeper, longer ’thinking’ for more complex problems. The model is now available to all users, with premium access and features reserved for Plus and Pro subscribers. OpenAI CEO Sam Altman highlighted the model’s evolution, comparing GPT-3 to a high school student and GPT-4 to a college student, while describing GPT-5 as a ‘PhD-level expert.’ This landmark release is a significant move for OpenAI, poised to solidify its leadership in the competitive generative AI industry. ...

PwC Report: AI Transforms Business Operations and Strategic HR A mid-year update to PwC’s 2025 AI Business Predictions report confirms that artificial intelligence is actively reshaping how work is done across industries. The report highlights that AI has evolved from a supportive tool to a core driver of business value, accelerating revenue growth and fundamentally redefining the human-technology relationship in the workplace. In human resources, CHROs are leveraging AI to streamline administrative tasks and rethink strategic areas like workforce planning, learning and development design, and internal mobility. According to the report’s author, tasks that previously took weeks, such as analyzing employee engagement data or customizing training programs, can now be accomplished in days or even hours with AI-driven automation. ...