Smart meter cyberattack could cost $5,097 a day
A preprint simulates DoS and time-delay attacks on smart meter networks, linking communication delays to energy procurement losses up to $5,097 a day.
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A preprint simulates DoS and time-delay attacks on smart meter networks, linking communication delays to energy procurement losses up to $5,097 a day.
ABS building approvals rose 7.2% to 18,328 in June 2026, with houses up 15.8% year-on-year while multi-unit dwellings fell 1.5%, the stock renters need
Google's August update puts AI agent Ask Advisor inside Ads and Analytics, with text-prompt dashboards and competitor benchmarking.
NVIDIA's Magpie TTS v2607 adds Arabic, Korean and Brazilian Portuguese to its 364M-parameter open-weights model, targeting low-latency voice agents.
KnowPlan separates curriculum extraction from degree-pathway optimization with a hard boundary, cutting source access 47% while certifying 99.5% of plans.
New AgentStream benchmark from Microsoft and Chinese Academy of Sciences finds self-evolving AI agents behave unpredictably in task sequences
AMS, a new Google Cloud tool, flags 71% of safety-training modifications across Llama, Gemma, Qwen and Mistral, but behavioural fine-tuning evades it.
New arXiv preprint: a deterministic executive owns all agent belief, the LLM only files proposals, and zero ARC-AGI-3 completions are honestly disclosed.
NVIDIA's open-weights Cosmos 3 model combines vision reasoning, world generation and action prediction for robotics and autonomous vehicles.
Voice transcription errors cut accuracy across every instruction-tuned model tested, while typing errors are absorbed. The gap traces to one mechanism.
A new arXiv preprint from Sharif University trains an energy-based surrogate to identify which prompt sentences matter most, with no extra API calls.
An arXiv paper drawing on Microsoft Azure production data finds agentic AI workflows bottleneck on CPU orchestration, not GPU inference, reshaping