Neurosymbolic AI is a framework that combines the core strengths of symbolic AI, which represents explicit enterprise structure, relationships, rules, constraints, and decision logic, with neural AI, which powers capabilities such as language understanding, pattern recognition, and synthesis. This framework builds upon the domain expertise and rules of symbolic AI and the capability of neural AI to find and learn …
Google advances agentic AI custom silicon expanding TPU family with 8tx and 8i Max – SiliconANGLE
Google LLC today introduced two new specialized silicon chips for artificial intelligence to its eighth-generation Tensor Processing Unit architecture family, aimed at higher compute density and secure inference. At Google Cloud Next 2026 in April, Google introduced two specialized TPUs in the same generation, 8t for large-scale training and 8i designed for real-time reasoning. At the time, the company said it released …
How components can help us govern agents
onMount runs once when the component becomes visible. onUnmount runs once when it leaves. onError catches anything either of them throws and receives { source, error }, where source is “mount”, “unmount”, “beforeDispose”, or “action”. The agent does not write a return value, does not pick a dependency array, does not name a cleanup function. There is nothing to forget. …
Nvidia Tightens AI Chip Tracking in Southeast Asia as China Smuggling Concerns Grow
Nvidia’s AI chips are some of the hottest hardware on the planet. Now, the company wants a clearer idea of where they’re headed. The chipmaker is reportedly tightening oversight of its powerful GPUs in Southeast Asia. According to people familiar with the policy who spoke to Bloomberg, companies seeking official Nvidia Cloud Partner status in the region must now enroll …


