Thank you @Khulood_Almani Grateful for having you in my digital community!
AI
-

Human Intelligence versus Artificial Intelligence Comparison Analysis
By
–
Human Intelligence (HU) vs #ArtificialIntelligence (AI)
by @i_EcoRUSSIA @BBNTimes_en Read more: https://
buff.ly/3t7gwT9 #BigData #MI #Digital #DataScience #MachineLearning cc: @ronald_vanloon @bigdata @mikequindazzi -
Boston Dynamics Robot Demonstrates Impressive Agility Skills
By
–
Boston Dynamics #Robot shows off agility skills
— Ronald van Loon (@Ronald_vanLoon) 11 mars 2023
via @jblefevre60#AI #ArtificialIntelligence #Automation #Transport #Tech #Technology #AutonomousVehicles
cc: @bigdata @patrickgunz_ch @ravikikan pic.twitter.com/yHoGwwJmDSBoston Dynamics #Robot shows off agility skills via @jblefevre60 #AI #ArtificialIntelligence #Automation #Transport #Tech #Technology #AutonomousVehicles cc: @bigdata @patrickgunz_ch @ravikikan
-

The Quantum Era Is Arriving And Will Be Transformational
By
–
The Quantum Era Is Arriving, And It Will Be Transformational !
by @ChuckDBrooks @Forbes Learn more: https://
buff.ly/3B6axD6 #AI #IoT #BigData #ArtificialIntelligence #Cloud #InternetofThings cc: @terenceleungsf @ronald_vanloon @yvesmulkers -
Finally Getting Different Error Messages in Code
By
–
Me when I finally get a different error message for my code: pic.twitter.com/luAOS0MzdW
— Replit ⠕ (@Replit) 11 mars 2023Me when I finally get a different error message for my code:
-
Black Swan Concept Misunderstanding According to Taleb
By
–
This is why @nntaleb keeps saying the concept of Black Swan is widely misunderstood.
-

AI Pioneer Geoff Hinton Predicts Revolutionary New Computer Type
By
–
We will see a completely new type of computer, says #AI pioneer Geoff Hinton
by @TiernanRayTech @ZDNet Go to: https://
buff.ly/3OTMj3D #BigData #MachineLearning #ArtificialIntelligence #ML #MI cc: @bigdata @patrickgunz_ch @amuellerml -
Deep Learning vs Tree Methods on Small Datasets and Multitask Fine-tuning
By
–
I can see how deep learning methods may struggle to catch up with tree methods on small size datasets (and you say it in the thread). Wondering if you did try to do multitask fine-tuning on eg Transformers and saw a positive benefits? (we observe it in text, see eg Flan/T0)