Limitless AI (@limitless_ai) 's Twitter Profile
Limitless AI

@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

ID: 1044141145805279232

linkhttp://www.limitlessai.org calendar_today24-09-2018 08:27:03

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Google AI (@googleai) 's Twitter Profile Photo

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 goo.gl/BYSouA

Google AI (@googleai) 's Twitter Profile Photo

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. goo.gl/CJq8tW

Limitless AI (@limitless_ai) 's Twitter Profile Photo

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

Limitless AI (@limitless_ai) 's Twitter Profile Photo

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

François Chollet (@fchollet) 's Twitter Profile Photo

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: colab.research.google.com/drive/1RvCnR7h…

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: colab.research.google.com/drive/1RvCnR7h…
Google AI (@googleai) 's Twitter Profile Photo

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: goo.gle/2s0wvpx

François Chollet (@fchollet) 's Twitter Profile Photo

TensorFlow has a suite of tools for optimizing your models for faster inference: tensorflow.org/model_optimiza… This includes post-training weight quantization, and gradual weight pruning during training for your Keras models.

TensorFlow has a suite of tools for optimizing your models for faster inference: tensorflow.org/model_optimiza…

This includes post-training weight quantization, and gradual weight pruning during training for your Keras models.
DSN - Data Science Nigeria (@dsn_ai_network) 's Twitter Profile Photo

VACANCIES Join our inspiring AI consulting & solution delivery team Be part of our quest to solve business &social problems. ROLES: Geospatial Data Analysts(4): bit.ly/2FPWnYI Data Architect (1):bit.ly/36WuFWg Product/Research Lead (1): bit.ly/36NHimt

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

ROLES:
Geospatial Data Analysts(4): bit.ly/2FPWnYI
Data Architect (1):bit.ly/36WuFWg
Product/Research Lead (1): bit.ly/36NHimt
DSN - Data Science Nigeria (@dsn_ai_network) 's Twitter Profile Photo

From Transformer to Reformer. Google AI & 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: arxiv.org/pdf/2001.04451…

From Transformer to Reformer.
<a href="/GoogleAI/">Google AI</a> &amp; <a href="/BerkeleyNLP/">BerkeleyNLP</a> take NLP to next level!
Reformer can process millions of tokens using only 16GB of memory!

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

Paper: arxiv.org/pdf/2001.04451…
DSN - Data Science Nigeria (@dsn_ai_network) 's Twitter Profile Photo

Ground breaking work! Facebook AI has developed the first neural network that uses symbolic reasoning to solve advanced mathematics problems by restructuring math expressions as a language. More: bit.ly/3aqdKO0

Ground breaking work! <a href="/facebookai/">Facebook AI</a> has developed the first neural network that uses symbolic reasoning to solve advanced mathematics problems by restructuring math expressions as a language. More: bit.ly/3aqdKO0
Google AI (@googleai) 's Twitter Profile Photo

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! goo.gle/36zB8Wj

Ed H. Chi (@edchi) 's Twitter Profile Photo

I didn't discover this feature until today. This should be the default at every presentation! blog.google/outreach-initi…

Jeremy Howard (@jeremyphoward) 's Twitter Profile Photo

The fastai paper (with Sylvain Gugger) 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 fast.ai/2020/02/13/fas…