Netzilo announced expanded capabilities of Netzilo AI Edge, delivering comprehensive visibility, agent sandboxing, and advanced governance for enterprises deploying OpenClaw AI agents. As organizations accelerate adoption of OpenClaw — a next-generation autonomous AI agent capable of performing complex tasks with minimal supervision — security teams face new challenges in visibility, agent integrity, and data protection.

References Rejeb, A. et al. The Internet of Things (IoT) in healthcare: Taking stock and moving forward. Internet Things. 22, 100721 (2023). Google Scholar  Mustafa, N. & Hussain, K. Threat modeling for healthcare industry security: Safeguarding IoT devices and ensuring business continuity (2024). Li, C., Wang, J., Wang, S. & Zhang, Y. A review of

Single-cell RNA sequencing data consistently reveal robust statistical structures, prompting the creation of complex foundation models like TranscriptFormer to generate gene expression embeddings. Huan Souza and Pankaj Mehta, both from the Department of Physics and the Faculty of Computing and Data Science at Boston University, demonstrate that comparable performance can be achieved using significantly less

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If you want an even better AI model, there could be reason to celebrate. Google, on Thursday, announced the release of Gemini 3.1 Pro, characterizing the model's arrival as "a step forward in core reasoning." Measured by the release cadence of machine learning models, Gemini 3.1 Pro is hard on the heels of recent model

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 possible variants-more combinations than atoms in the observable universe. Traditional engineering methods might test hundreds of variants but limit exploration to narrow regions of the sequence space. Recent machine learning approaches enable broader searches through computational

From electric vehicles to new manufacturing facilities to data centers, it’s no secret that consumer demands on energy infrastructure are spiking. At the same time, we’re seeing AI-augmented adversarial threats targeting power and energy generation on the rise, too. These dual pressures, to make energy more resilient against cyberattacks just as experts are forecasting accelerated

Summary: Large language models (LLMs) like ChatGPT and Claude are more than just text generators; they contain complex, abstract “personas” and biases buried within their code. A team of researchers has developed a revolutionary method to expose and manipulate these hidden concepts. Using an algorithm called a Recursive Feature Machine (RFM), researchers can now identify