Doing AI in a hybrid cloud environment? Need to use GPUs to accelerate ML? Check out Kjell Carlsson's talk TODAY, Nov. 2 from 3:05 – 3:30 CT, “Enabling a Scalable, Future-proof AI Ecosystem Across the Hybrid Cloud Enterprise." #MLOps #IoTWorld
MACHINE LEARNING
-

Scikit-learn Algorithm Selection Cheat Sheet Guide
By
–
Scikit-learn is one of the most useful and important Python libraries for machine learning. A great cheat sheet that will help you decide which algorithm to use:
-

Broken Neural Scaling Laws: New Research Findings
By
–
Broken Neural Scaling Laws Caballero et al.: https://
arxiv.org/abs/2210.14891 #MachineLearning #DeepLearning #ArtificialIntelligence -
The Future of AI Turned Out Differently Than Expected
By
–
The future turned out differently than expected. // #AI #deeplearning #turingtest #machinelearning
-
VP Research Announces Natural Language Understanding Progress
By
–
We’re committed to pushing the state-of-the-art in language-based AI. @ZoubinGhahrama1
, VP of Research, will update us on our latest progress in natural language understanding and announce a new initiative ↓ (1/3) -
Imagen Video and Phenaki: Text-to-Video Generation Advances
By
–
Meet Imagen Video and Phenaki, two research approaches for text-to-video generation.
— Google AI (@GoogleAI) 2 novembre 2022
By combining diffusion & sequence learning techniques, we can generate videos that are super-res at the frame level and coherent in time. (4/5)https://t.co/O7gGzb9knWhttps://t.co/Uc0krTyTvk pic.twitter.com/Op4tonX2iwMeet Imagen and Phenaki, two research approaches for text-to-video generation. By combining diffusion & sequence learning techniques, we can generate videos that are super-res at the frame level and coherent in time. (4/5) https://
imagen.research.google/video/ https://
phenaki.video -
AudioLM: AI Framework Generates Realistic Speech and Piano Music
By
–
We introduced a new framework, AudioLM, that learns to generate realistic speech and piano music by listening to audio only ↓ (3/5)
-
STOC FOCS Conference Acceptance Rate Comparison Analysis
By
–
Are you referring to the acceptance rate? It was 37%. Seems relatively high, compared to ML conferences. But STOC/FOCS are incredibly self selective.
-
Scholar Submits Nine Papers to FOCS Conference
By
–
Who is this person submitting 9 papers to FOCS? https://
x.com/ccanonne_/stat
/ccanonne_/status/1587605031129186305
… -

AI Healthcare Applications Making World Healthier
By
–
AI In #HealthCare Is Making Our World Healthier https://
forbes.com/sites/cindygor
don/2022/10/31/ai-in-healthcare-is-making-our-world-healthier/
… @SalesChoice_inc #AI #MachineLearning #DataScience #Python #Robots #BigData #Analytics #100DaysofCode #IoT #serverless #DEVCommunity #womenwhocode #DigitalTransformation #DeepLearning #TensorFlow #Medicine