A med tech case decided by the PTAB is helpful to inform patent strategy for AI enabled inventions across various disciplines and industries. Patent applicants should expect to see reliance by the ...

Aparna Achanta is a Principal Security Architect at IBM with over a decade of experience leading secure application development projects. In this article, I discuss the integration of artificial ...

AI integration is most effective when you constrain model output through structured prompts and enforce application-side validation so your business logic, compliance requirements, and user experience ...

Every day, thousands of images and signals are collected at sea. Sonar, buoys, satellites, and cameras installed on ships generate enormous amounts of data. Artificial intelligence (AI) is already ...

November 18, 2025 - As companies lean into AI innovation to revolutionize a wide range of industries, they will encounter opportunities to secure patents on their advances. Machine-learning-based ...

Neural-network processors accelerate AI program execution while development tools help you get to market fast.

The integration of artificial intelligence (AI) and machine learning (ML) in oncology clinical trials is rapidly evolving alongside the broader field. For example, AI-driven adaptive trial designs may ...

Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models. Millions of images of passports, credit cards ...

Thematic coverage includes emerging contaminants and microplastics, exposomics, miniaturized sample preparation, sensor ...