At ICLR 2026, a Singapore research team proposed a framework to allow AI models to make out-of-domain bioactivity ...
AI may dominate industry conversations, but data modeling is delivering measurable results today. Discover how food, dairy ...
In high-stakes environments, like with a medical AI system, a small issue can be the difference between a correct call and a ...
The JadePuffer autonomous AI agent has upgraded with custom malware called EncForge that focuses on encrypting AI assets, ...
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MIT’s GIFT framework improves CAD designs by turning its failures into training data
Creating a realistic 3D model from a simple image remains surprisingly difficult for artificial intelligence.
Inspecting bridges, creating digital twins, and making self-driving cars safer are just a few uses, but many different industries will find uses for AI models that reason about 3D space.
Krikorian is one of a growing number of Americans adopting Chinese AI systems, which are gaining ground around the world ...
Data operationalization, complemented by the pragmatic deployment of AI use cases with said data, is, at its core, a move toward automation and autonomous systems.
Enterprises need a portable layer of memory, ontology and governance so institutional intelligence survives any model change.
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Thinking Machines amps up its bet against one-size-fits-all AI with its first open model, Inkling
It's the company's first public proof point after a year and a half spent building AI infrastructure largely out of public ...
An Apache 2.0 designation makes Inkling a true open-source foundation. This gives developers the legal freedom to download, ...
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