By Pure AI Editors
New marketplace lets users access AI-compatible strategy tools for managing digital asset yield generation.
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By Pure AI Editors
New offering combines agentic AI with managed services to help utilities automate infrastructure inspections and maintenance planning.
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By Pure AI Editors
OnBoard introduces new capabilities designed to help boards use AI while maintaining human decision-making and governance controls.
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By John K. Waters
The race to build the most capable artificial intelligence models is increasingly expanding into a second front: hardware.
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By John K. Waters
Apple has sued OpenAI in federal court, alleging that former employees misappropriated confidential hardware designs and manufacturing information to support OpenAI's push into consumer devices.
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By John K. Waters
Cloud security firm Sysdig has disclosed what its Threat Research Team describes as the first documented ransomware operation carried out end-to-end by an autonomous AI agent, with no human typing commands or directing individual steps once the attack was underway. The firm named the threat actor JADEPUFFER.
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By John K. Waters
OpenAI and xAI both released major new AI models on July 9, a coincidence of timing that several industry outlets called one of the most competitive single days in the sector's history. OpenAI brought its GPT-5.6 family, consisting of three tiers named Sol, Terra and Luna, to general availability, while xAI launched Grok 4.5. Independent benchmarking conducted in the days since has told a more complicated story than either company's launch materials suggested.
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By Sean Parker
Meta is stepping up its enterprise AI ambitions with the launch of Muse Spark 1.1, a multimodal reasoning model designed for agentic AI, alongside a new Meta Model API that gives developers access to the model for the first time.
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By John K. Waters
As the artificial intelligence industry has spent the past several years racing to build ever more capable foundation models, Microsoft is increasingly focusing on another challenge: reducing the cost of deploying AI at scale.
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