AI feed
Aggregated from 2 sources, polled every 3 hours and deduplicated so the same story never appears twice. Links go straight to the publisher.
infrastructure
6 articles mention this topic.
-
05 Aug 2026
Standardizing AI Risk Assessments for Critical Infrastructure - The ANSI Blog
Machine learning models can degrade silently, behave erratically under ... Deep learning models often can't tell you why they made a decision ...
blog.ansi.org ↗ -
04 Aug 2026
Legal tech startup NYAI raises $1.5 Mn in seed round - Entrackr
NYAI said its architecture supports on premises deployment, integrates with enterprises' existing large language model infrastructure, and keeps ...
entrackr.com ↗ -
03 Aug 2026
Google expands AI infrastructure with Lustre & C4N - IT Brief Australia
... large language models. Google also pointed to Cloud Storage Rapid, a ... large language model inference. Customer references included Pager ...
itbrief.com.au ↗ -
02 Aug 2026
Tech investor Rajan Anandan, Sarvam AI's Pratyush Kumar at Adda today | India News
... models, compute infrastructure and the future of large language models are taking centre stage. For India, this is a defining moment — not only to ...
indianexpress.com ↗ -
01 Aug 2026
Why Artificial Intelligence Data Centers Are Powering the Future of Digital Infrastructure ...
... machine learning model training, deep learning inference, natural language processing, and large-scale data analytics. These facilities combine ...
www.sphericalinsights.com ↗ -
01 Aug 2026
Why Artificial Intelligence Data Centers Are Powering the Future of Digital Infrastructure ...
The rapid growth of generative AI, large language models, and enterprise AI adoption has significantly increased demand for next-generation data ...
www.sphericalinsights.com ↗
Where this comes from
AI Alerts — Google
https://www.google.co.in/alerts/feeds/05832220720342067762/8510459957…
Deep Learning - Google
https://www.google.co.in/alerts/feeds/05832220720342067762/1643871049…
Feeds are configured through the LEARN_FEEDS environment variable, so new
sources can be added without a code change. Each poll sends the stored ETag and
Last-Modified headers, so an unchanged feed answers 304 and costs the
publisher nothing.