This isn’t a perfect approach but it does make the values of the AI system easier to understand and easier to adjust as needed.
SYSTEMS
-
MEC Infrastructure for AI-Powered IoT Smart Factory
By
–
If you are putting #IoT devices in a smart factory to run an #AI engine, you need a real infrastructure with high reliability, low latency and engineering at a technical level, MEC is critical to helping you figure out how to approach and perform the use case. Here is how… pic.twitter.com/XJkkQWhGGy
— Helen Yu (@YuHelenYu) 6 mai 2023If you are putting #IoT devices in a smart factory to run an #AI engine, you need a real infrastructure with high reliability, low latency and engineering at a technical level, MEC is critical to helping you figure out how to approach and perform the use case. Here is how
-

Understanding Log Analytics at Scale with Pure Storage
By
–
Look! >> @PureStorage is making available this 84-page analyst report from @OReillyMedia : "Understanding Log #Analytics at Scale" at https://
purefla.sh/41O0Qn9 #purestorage #BigData #StorageMatters
——
This overview of log analytics will cover:
◉ What is log analytics?
◉ Why is -
Neural Appearance Model for Realistic Textures
By
–
The appearance model uses learned hierarchical textures interpreted by neural decoders with two graphics priors, allowing for accurate reconstruction of mesoscale effects and efficient importance sampling. Paper: https://research.nvidia.com/labs/rtr/neural_appearance_models/
… Hi-res video: https://research.nvidia.com/labs/rtr/neural_appearance_models/assets/nvidia_neural_materials_video-2023-05.mp4
… -

Machine Learning Engineering Guide for Real-Time Data Systems
By
–
A Guide to #MachineLearning Engineering for Real-Time Data — Building Intelligent Systems: http://
amzn.to/2C1Ai7r
———————
#BigData #DataScience #DeepLearning #IoT #IIoT #IoTPL #IoTCL #StreamAnalytics #EdgeComputing #IoTCommunity #Industry40 #AI #Edge #TimeSeries #IntelligentEdge -

SpeechNet: ASR Technology Powers 12M Daily Smart TV Queries
By
–
Are you using speech rec on @comcast devices? You might be using SpeechNet: ASR designed for label-scarce, compute-limited settings using weak supervision, Snorkel, & CUDA graphs. Join @ralph_tang at https://
future.snorkel.ai to learn how daily 12M+ smart TV queries are automated. -
Unlimiformer Enables Transformers to Process Unbounded Input Lengths
By
–
CMU’s Unlimiformer Augments Transformers to Enable Unbounded Input Lengths https://
syncedreview.com/2023/05/04/cmu
s-unlimiformer-augments-transformers-to-enable-unbounded-input-lengths/
… -
CIO perspective on enterprise cloud migration strategies
By
–
Love the title: "A recovering CIO’s perspective on cloud migrations", and Stephen's customer-side perspective on how vendors (like Google) can better assist enterprises to migrate to the cloud.
-
Google CEO admits lack of understanding of AI system behavior
By
–
Google CEO says that they don’t fully understand their own #AI system after it did things it wasn’t programmed to do: