Ai Story NewsNature spotlights an optical metasurface vision prototype—a machine learning latest moment promising faster, lower-power, on-device
https://www.aistory.news/machine-learning/machine-learning-latest-optical-metasurface-vision-leap/
Nature’s June 17, 2026 machine learning update spotlights an optical metasurface vision prototype promising real-time, low-power edge AI
https://www.aistory.news/machine-learning/machine-learning-update-natures-optical-vision-push/
Nature’s latest machine learning news spotlights an optical metasurface that embeds core vision steps in hardware, promising faster,
https://www.aistory.news/machine-learning/machine-learning-news-nature-flags-optical-vision-leap/
Nature’s News & Views says single-cell AI scaling brings little gain beyond a set point, shifting budgets toward data diversity and
https://www.aistory.news/machine-learning/single-cell-ai-scaling-hits-a-plateau-nature-warns/
Nature details a metasurface camera that embeds vision ops in optics. What it means for machine learning at the edge: power, latency, and
MickaiFederated Learning Spreads the Training. It Does Not Spread the Trust.
Federated learning distributes where training happens, and people quietly assume it distributes trust along with it. It does not. You can decentralise the computation completely and still be unable to prove what the system actually did. The fix is not more decentralisation. It is one signed, offline-verifiable record that…
https://mickai.co.uk/articles/federated-learning-needs-a-sovereign-anchor
#federatedlearning #AIgovernance #sovereignAI #auditability #postquantum
Federated Learning Spreads the Training. It Does Not Spread the Trust.
Federated learning distributes where training happens, and people quietly assume it distributes trust along with it. It does not. You can decentralise the computation completely and still be unable to prove what the system actually did. The fix is not more decentralisation. It is one signed, offline-verifiable record that no participant can rewrite.
Mental privacy matters.🌎 Privacy-by-design for neurotech devices is a good practice for protecting user security and reducing neurocrime. 💯
#privacybydesign #privacy #privacymatters #mentalprivacy #physicalprivacy #neurocrime #federated #federatedlearning #machinelearning #bci #bmi #neurorights #encryption
O_CEI_Horizon@O_CEI_Horizon partners participated in the workshop on Privacy-Enhancing Technologies for Edge-Cloud applications within the #CEISphere ecosystem.
The presentation covered Pilot 7 activities and how Federated Learning and Zero Trust approaches can strengthen privacy and secure data sharing across distributed Cloud-Edge-IoT environments.
Open RiskUsing large (or largish) models locally (so called #localAI ) falls under the second, inference task. It is an emerging passtime for technical people with deeper pockets (one still needs a fairly massive server). It may become more of a commodity thing in due course .
Democratized building of large models without access to ultra-expensive and complicated supercomputing is theoretically possible. Ceteris-paribus It will be slower and it needs some breakthroughs in large scale #federatedlearning
Tim GreenFederated learning offers privacy advantages but faces significant vulnerabilities, like gradient inversion and model poisoning. Its real-world applications, especially in healthcare, highlight both potential and risks. Trust and transparency are key.
Discover more at https://dev.to/rawveg/federated-learning-under-fire-5aep
#AIinHealthcare #DataPrivacy #FederatedLearning #HumanInTheLoop
Discover more at https://dev.to/rawveg/federated-learning-under-fire-5aep
#AIinHealthcare #DataPrivacy #FederatedLearning #HumanInTheLoop
