If anyone can buy a blue tick for $8, then no blue tick will be the new blue tick.
AI
-
Food Wrappers Recycled Into Fabric Using Handloom Technology
By
–
Food wrappers are now recycled into fabric using Handloom
— Pascal Bornet (@pascal_bornet) 14 novembre 2022
Credit: EcoKaari#innovation #techforgood #sustainability pic.twitter.com/ZfpSDnoiHjFood wrappers are now recycled into fabric using Handloom Credit: EcoKaari
#innovation #techforgood #sustainability -
Time and Hard Work: Keys to Success in Tech
By
–
We all face the same issue… All we need is time and hard work #inspiration
-
Excel on the Web Targets Billions with AI Integration
By
–
its excel on the web. TAM of billions of people
-
Network Effects: Three Types Driving Trillion-Dollar Businesses
By
–
Types of network effect:
– Benefits to you of having many other users (e.g., Microsoft)
– More data to learn from -> Better product (e.g., Google)
– Cost of rebuilding your network (e.g., Twitter)
Likely many more to be discovered, along with new trillion-dollar businesses. -
Need for Comprehensive Inductive Bias Zoo Reference
By
–
I cover the highest levels in "The Master Algorithm". Below that there are subfield-specific ones. But someone should really do a serious Inductive Bias Zoo, a la Scott Aaronson's Complexity Zoo.
-
AI-Powered Exosuit Restores Mobility for MS and Stroke Patients
By
–
Amazing results for multiple sclerosis patient Louisa, after 1 hour. Improving the #mobility of people affected by strokes or Parkinson’s disease
— Pascal Bornet (@pascal_bornet) 14 novembre 2022
The suit is equipped with 58 embedded #electrodes, which are adjusted to the user’s body
Crt: Ottobock #innovation #techforgood #ai pic.twitter.com/xPBM0ARzGKAmazing results for multiple sclerosis patient Louisa, after 1 hour. Improving the #mobility of people affected by strokes or Parkinson’s disease The suit is equipped with 58 embedded #electrodes, which are adjusted to the user’s body Crt: Ottobock #innovation #techforgood #ai
-
Causal Theories as Inductive Bias in Machine Learning
By
–
On the contrary: it's by viewing causal theories as a type of inductive bias that ML types can become comfortable with using them. (As I said before, there's a taxonomy of inductive biases; by placing a bias in the appropriate node you don't confuse, you clarify.)
-
Contrived Datasets and Knowledge Transfer in Causal Analysis
By
–
That's a very contrived data set, which makes it very unpersuasive. You then have to transfer knowledge to this problem from similar ones with better data, which is what the "causal bias" is really doing.
-
Malicious Use of AI: Forecasting, Prevention, and Mitigation
By
–
The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation Brundage and Avin et al. https://
img1.wsimg.com/blobby/go/3d82
daa4-97fe-4096-9c6b-376b92c619de/downloads/MaliciousUseofAI.pdf?ver=1553030594217
… #ArtificialIntelligence #DeepLearning #MachineLearning