Google’s Dataset Search
https://datasetsearch.research.google.com
"Dataset Search has indexed almost 25 million of these datasets, giving you a single place to search for datasets & find links to where the data is.” — Natasha Noy
Google’s Dataset Search is tool to discover millions of datasets on the web https://blog.google/products/search/discovering-millions-datasets-web/
https://datasetsearch.research.google.com
"Dataset Search has indexed almost 25 million of these datasets, giving you a single place to search for datasets & find links to where the data is.” — Natasha Noy
Google’s Dataset Search is tool to discover millions of datasets on the web https://blog.google/products/search/discovering-millions-datasets-web/
Google
Discovering millions of datasets on the web
Dataset Search launches publicly with an index of 25 million datasets, helping scientists, journalists, students, data geeks to find data.
PostDoc Researcher – Graph Representation Learning and Explainable AI
https://ai-jobs.net/job/accenture-labs-dublin-ireland-full-time-postdoc-researcher-graph-representation-learning-and-explainable-ai/
https://ai-jobs.net/job/accenture-labs-dublin-ireland-full-time-postdoc-researcher-graph-representation-learning-and-explainable-ai/
Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern Analysis https://arxiv.org/abs/2001.01306
Deep Learning vs. Traditional Computer Vision
https://arxiv.org/abs/1910.13796
https://arxiv.org/abs/1910.13796
A radically new cosmological view from a groundbreaking neuroscientist placing the human brain at the center of humanity’s universe. <3
Renowned neuroscientist Miguel Nicolelis introduces readers to a revolutionary new theory of how the human brain evolved to become an organic computer without rival in the known universe. Nicolelis undertakes the first attempt to explain the entirety of human history, culture, and civilization based on a series of recently uncovered key principles of brain function. This new cosmology is centered around three fundamental properties of the human brain: its insurmountable malleability to adapt and learn; its exquisite ability to allow multiple individuals to synchronize their minds around a task, goal, or belief; and its incomparable capacity for abstraction.
Combining insights from such diverse fields as neuroscience, mathematics, evolution, computer science, physics, history, art, and philosophy, Nicolelis presents a neurobiologically based manifesto for the uniqueness of the human mind and a cautionary tale of the threats that technology poses to present and future generations.
Miguel Nicolelis is the Duke School of Medicine Distinguished Professor of Neuroscience and Duke University Professor of Neurobiology, Biomedical Engineering, and Psychology and Neuroscience. In 2004, Scientific American elected him as one of the twenty most influential scientists in the world.
https://www.grexcollc.com/post/recommendation-and-reflections-on-the-true-creator-of-everything-by-miguel-nicolelis
Renowned neuroscientist Miguel Nicolelis introduces readers to a revolutionary new theory of how the human brain evolved to become an organic computer without rival in the known universe. Nicolelis undertakes the first attempt to explain the entirety of human history, culture, and civilization based on a series of recently uncovered key principles of brain function. This new cosmology is centered around three fundamental properties of the human brain: its insurmountable malleability to adapt and learn; its exquisite ability to allow multiple individuals to synchronize their minds around a task, goal, or belief; and its incomparable capacity for abstraction.
Combining insights from such diverse fields as neuroscience, mathematics, evolution, computer science, physics, history, art, and philosophy, Nicolelis presents a neurobiologically based manifesto for the uniqueness of the human mind and a cautionary tale of the threats that technology poses to present and future generations.
Miguel Nicolelis is the Duke School of Medicine Distinguished Professor of Neuroscience and Duke University Professor of Neurobiology, Biomedical Engineering, and Psychology and Neuroscience. In 2004, Scientific American elected him as one of the twenty most influential scientists in the world.
https://www.grexcollc.com/post/recommendation-and-reflections-on-the-true-creator-of-everything-by-miguel-nicolelis
GEC
Recommendation and Reflections on 'The True Creator of Everything' by Miguel Nicolelis
'The True Creator of Everything' - A Guiding Work for the Ongoing Development of the Human Universe It is a deeply convicted personal goal of mine to, in the course of my lifetime, compose a book of such substance and meaning that it carries my thoughts well…
The Big Bad NLP Database: Access Nearly 300 Datasets https://www.kdnuggets.com/2020/02/big-bad-nlp-database.html
Neuromodulated Meta-Learning Algorithm)
ANML meta-learns to reduce catastrophic forgetting, and can learn at least 600 tasks sequentially
ANML- Learning to Continually Learn
https://arxiv.org/pdf/2002.09571.pdf
ANML meta-learns to reduce catastrophic forgetting, and can learn at least 600 tasks sequentially
ANML- Learning to Continually Learn
https://arxiv.org/pdf/2002.09571.pdf
How do we get ready for the Age of AI? What do we need to stay successful?
Being a transformational technology of the digital age, AI is an highly elusive concept and future strategy, involving such critical issues as:
Complexity of its scope and nature; matching AI techniques to problem types; large training data sets; value propositions, the cost and complexity of deploying AI.
https://www.quora.com/How-do-we-get-ready-for-the-Age-of-AI-What-do-we-need-to-stay-successful/answer/Kiryl-Persianov
Being a transformational technology of the digital age, AI is an highly elusive concept and future strategy, involving such critical issues as:
Complexity of its scope and nature; matching AI techniques to problem types; large training data sets; value propositions, the cost and complexity of deploying AI.
https://www.quora.com/How-do-we-get-ready-for-the-Age-of-AI-What-do-we-need-to-stay-successful/answer/Kiryl-Persianov
China:
- We use ConvNets to diagnose COVID19.
- We build a hospital in 10 days.
USA:
- Our hiring freeze left 700 positions at CDC unfilled.
- Our COVID19 test doesn't work.
- We stop our experts from talking to the press.
- The whole pandemic thing is a hoax anyway.
https://www.wired.com/story/chinese-hospitals-deploy-ai-help-diagnose-covid-19/
- We use ConvNets to diagnose COVID19.
- We build a hospital in 10 days.
USA:
- Our hiring freeze left 700 positions at CDC unfilled.
- Our COVID19 test doesn't work.
- We stop our experts from talking to the press.
- The whole pandemic thing is a hoax anyway.
https://www.wired.com/story/chinese-hospitals-deploy-ai-help-diagnose-covid-19/
WIRED
Chinese Hospitals Deploy AI to Help Diagnose Covid-19
Software that reads CT lung scans had been used primarily to detect cancer. Now it's retooled to look for signs of pneumonia caused by coronavirus.
The camera-ready version and code of my #ICLR2020 paper on building G-CNNS that are equivariant to Lie group transformations
paper B-Spline CNNs on Lie groups
https://openreview.net/forum?id=H1gBhkBFDH
code https://github.com/ebekkers/gsplinets
paper B-Spline CNNs on Lie groups
https://openreview.net/forum?id=H1gBhkBFDH
code https://github.com/ebekkers/gsplinets
OpenReview
B-Spline CNNs on Lie groups
The paper describes a flexible framework for building CNNs that are equivariant to a large class of transformations groups.