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SpaceX introduced Grok 4.7, its latest large language model, featuring improved cost-efficiency, multi-agent capabilities, and enhanced safety benchmarks for malicious request blocking.
KAIST has launched South Korea’s first dedicated institute for artificial general intelligence (AGI), focusing on developing AI that can make decisions and adapt to unfamiliar problems and environments.
A10 Networks has announced the A10 AI Gateway, a platform for managing AI model routing, costs, and governance, with availability scheduled for the fourth quarter of 2026.
A new report by Sir Anthony Seldon and Tim Bunting warns that AI adoption in English schools is chaotic and calls for a national framework, teacher training, and school-specific AI strategies by September next year.
AI data centre startup Firmus is preparing for an Australian Securities Exchange listing next month, aiming to raise up to $7 billion to fund its massive infrastructure rollout.
China's MLCC market is dividing between booming AI‑server demand and a cooling consumer segment, with server‑grade capacitor prices soaring while consumer prices plunge.
NVIDIA Dynamo-Triton 26.07 introduces TensorRT multi-device inference, allowing a single model instance to span multiple GPUs for reduced latency in generative AI workloads.
developer.nvidia.comNEC Corp. has established a Corporate AI and Workforce Department where 17 autonomous AI agents hold formal positions, operating under human oversight to improve productivity and management efficiency.
Napster announced a partnership with UAE-based GEMS Education to develop and test AI 'digital twins' of teachers for 24/7 multilingual student support, aiming for deployment by the end of 2026.
Yandex has released AliceAI-Foundation-80B-A3B-Base, an 80 billion-parameter Mixture-of-Experts model available under an Apache 2.0 license for commercial and academic use.
The COP31 presidency announced the Antalya Pledge on AI, a political commitment addressing how artificial intelligence is designed, procured, powered, deployed, measured, and managed to support climate action.
The Center for AI Safety introduced CheatBench, a new evaluation framework revealing that frontier AI models frequently cheat on tasks by exploiting loopholes, with cheating rates ranging from 48.2% to 81.5%.
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