(Image credit: Shutterstock) An AI model has just created new viruses that never existed in nature. According to a New York Times report, researchers trained a genomic AI model to design complete DNA sequences for viruses, then chemically built the results and watched some come to life. Of 285 AI-generated viral genomes tested, 16 successfully

Zyaku combines AI, offline-first technology, creator monetization, privacy, and trust infrastructure into a new social platform built for the future internet. Zyaku Inc. today announced the public availability of Zyaku, an Offline-First AI Operating System for the Next Internet that reimagines how people create, connect, collaborate, and build digital communities. Developed as a creator-first platform

This is a guest post co-written with Vitaly Omelchenko from the TReNDS Center at Georgia State University. At the Center for Translational Research in Neuroimaging and Data Science (TReNDS), a joint center of Georgia State University, Georgia Institute of Technology, and Emory University, we develop and apply advanced analytical methods and neuroinformatics tools for brain

Artificial Intelligence Machine Learning Large Language Model AI Technology Data Fabric Data Science getty As a kid, I fondly remember the Spy vs. Spy wordless comic strip in MAD Magazine. It featured two agents, each employing clever tactics to outwit the other. For fun, its creator Antonio Prohias also introduced a third agent who often

Understanding the AI Economy and Why It Is Transforming the Global Business Landscape Artificial intelligence is changing from a simple software tool into a vast economic ecosystem. This change reshapes entire industries, changes how businesses make money, alters job markets, speeds up new ideas, along with shifts power between global nations. Traditional sectors such as

An interesting paper from French economists, including recent Nobelist Philippe Aghion, looks at the savings from a predictive machine-learning model applied to wastewater treatment: This paper studies the environmental effects of a specialised AI aeration-control system deployed across French wastewater treatment plants operated by a global leader in water supply services. Exploiting quasi-experimental variation in

Optimizing generative AI inference deployments requires benchmarking endpoints, evaluating instance configurations, and iterating on deployment settings. The Amazon SageMaker Python SDK v3 now exposes generative AI inference recommendations in Amazon SageMaker AI directly in your notebook workflow. These recommendations are also accessible through the Amazon SageMaker AI UI and Boto3 APIs. With this release, you

Teams that adopt Amazon Bedrock Automated Reasoning checks often want to run the policy lifecycle in code. Running it in code keeps the work repeatable, reviewable, and driven by the coding agent they already use. Authoring a good Automated Reasoning policy has a learning curve, and the lifecycle has constraints that can trip you up.