Limitless AI

In a world of self-driving cars, computers writing poetry & servers creating their own language; we are using AI/ML to improve & change farming. #AI #ML

[Jeremy Howard @jeremyphoward]

The fastai paper (with @GuggerSylvain) is now available on arXiv and on our site! It's been peer reviewed and will appear in the journal Information soon.

The paper covers v2, which is a from-scratch rewrite that focuses on usability and hackability.
1/n
https://t.co/vJ0OjuG1tD

[Ed H. Chi @edchi]

I didn't discover this feature until today. This should be the default at every presentation!

https://t.co/rFlafC5pGl

[Google AI @GoogleAI]

Check out Meena, a new state-of-the-art open-domain conversational agent, released along with a new evaluation metric, the Sensibleness and Specificity Average, which captures basic, but important attributes for normal conversation. Learn more below! https://t.co/QxMVstg3qQ

[DSN - Data Science Nigeria @dsn_ai_network]

From Transformer to Reformer.
@GoogleAI & @BerkeleyNLP take NLP to next level!
Reformer can process millions of tokens using only 16GB of memory!

It leverages locality-sensitive hashing (LSH) & reversible residual layers to use memory efficiently

Paper: https://t.co/HVa04F9UH5

[DSN - Data Science Nigeria @dsn_ai_network]

Ground breaking work! @facebookai has developed the first neural network that uses symbolic reasoning to solve advanced mathematics problems by restructuring math expressions as a language. More: https://t.co/6PK1i9h7Tp

[SpaceX @SpaceX]

Watch live as SpaceX tests Crew Dragon’s in-flight launch escape capabilities https://t.co/lcfz0LS8O9

[DSN - Data Science Nigeria @dsn_ai_network]

VACANCIES
Join our inspiring AI consulting & solution delivery team
Be part of our quest to solve business &social problems.

ROLES:
Geospatial Data Analysts(4): https://t.co/WPXdaEtpF5
Data Architect (1):https://t.co/CH33R0GJ4d
Product/Research Lead (1): https://t.co/PogI2fGCEe

[François Chollet @fchollet]

TensorFlow has a suite of tools for optimizing your models for faster inference: https://t.co/h3qichyArj

This includes post-training weight quantization, and gradual weight pruning during training for your Keras models.

[Google AI @GoogleAI]

RecSim is an open-source configurable platform for authoring simulation environments tailored to the study of #ReinforcementLearning algorithms in recommender systems, enabling rapid testing & model refinement in a controlled environment. Learn more below: https://t.co/gH7v4uoRny

[François Chollet @fchollet]

New Keras feature: the TextVectorization layer. It takes as input strings and takes care of text standardization, tokenization, and vocabulary indexing.

This enables you to create models that process raw strings.

End-to-end text classification example: https://t.co/xPAw4FIY2b

[Limitless AI @limitless_ai]

Be the Valley
#SiliconValley

#LimitlessAI
✌🏾

[Limitless AI @limitless_ai]

#CGIARInspire #Africa #India #Agritech
#BDPHYDERABAD2019 @NAkufoAddo @MBawumia @SBawumia @yencomgh

[Limitless AI @limitless_ai]

Seeing a video of a robot from #ElonMusk's #OpenAI foundation learning how to handle a rubik's cube with human-hand likeness through a machine learning method they called "Domain Rationalisation" was quite amazing.
It opens the door to even greater impossibilities with #AI

[Limitless AI @limitless_ai]

I believe one of the ways we can secure the food future of the world is by merging agriculture with progressive and dynamic technology that is accessible to all!!
#MachineLearning is one of ways we can get there.
#Agritech #FoodSecurity #SDG #UN

[Google AI @GoogleAI]

Announcing the launch of Dataset Search, a new way for researchers to find the datasets they need, wherever they’re hosted, whether it’s a publisher's site, a digital library, or an author's personal web page. Learn more at https://t.co/tpdOkjAVgW

[Google AI @GoogleAI]

Today, we are launching the What-If Tool, a new feature of the open-source TensorBoard web application, which let users analyze and better understand an ML model without writing code. We look forward to people using, and contributing to, the What-If Tool. https://t.co/s5ivnQH87q