AI Essentials

Research

Discover how AI, Machine Learning and advanced algorithms impact our lives, our jobs and the economy thanks to expert articles that include discussion on the potential, limits and consequences of AI

Top news of the week: 27.04.2021.

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Research

@mat_kelcey shared
On Apr 21, 2021
RT @EdgeImpulse: We recently added object detection to Edge Impulse! You now train models to locate specific items in images, even with a very small dataset. Try it out! https://t.co/xDqTIbNk09 https://t.co/WFk8ZR8nyJ
Open
Object detection

Object detection

In this tutorial, you'll use machine learning to build a system that can recognize and track multiple objects in your house through a camera - a task known as object detection. Adding sight ...

@lawrennd shared
On Apr 27, 2021
RT @cwcyau: PhD opportunity with me in Explainable AI for Multimodal Data Integration: https://t.co/PuZ9IiQSvJ
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(EPSRC DTP) Explainable AI for Multimodal Data Integration in Biomedical Applications

(EPSRC DTP) Explainable AI for Multimodal Data Integration in Biomedical Applications

PhD Project - (EPSRC DTP) Explainable AI for Multimodal Data Integration in Biomedical Applications at The University of Manchester, listed on FindAPhD.com

@soumithchintala shared
On Apr 20, 2021
Cerebras WSE2 looks as exciting as the first. It is such a radically different chip to everything else, it always evokes excitement in me! It has the potential to do to another new or obscure ML method, what GPUs did to ConvNets/AlexNet. https://t.co/q2hsptZINM
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Cerebras Unveils Wafer Scale Engine Two (WSE2): 2.6 Trillion Transistors, 100% Yield

Cerebras Unveils Wafer Scale Engine Two (WSE2): 2.6 Trillion Transistors, 100% Yield

For Cerebras’ first generation WSE is sold as a complete system called CS-1, and the company has several dozen customers with deployed systems up and running, including a number …

@NandoDF shared
On Apr 23, 2021
RT @AleksandraFaust: Very excited to share our recent work, which enables automated design of new RL algorithms. We will be presenting it as oral at ICLR on Wed, 5-May. https://t.co/kGfu4ZxJyE w/@JDCoReyes @yingjieMiao @dypeng @estebitius @svlevine @quocleix @honglaklee @AleksandraFaust https://t.co/RwhS6nPDme
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Evolving Reinforcement Learning Algorithms

Evolving Reinforcement Learning Algorithms

arXiv | ICLR Oral Talk | github | openreview Abstract: We propose a method for meta-learning reinforcement learning algorithms by searching over the space of computational graphs which ...

@etzioni shared
On Apr 23, 2021
RT @b0yle: ManipulaTHOR training software from @allenai_org gives virtual robots a hand - and an arm: https://t.co/EpzPKuAG62 H/T @etzioni @ehsanik https://t.co/XPYCnT3UfU
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ManipulaTHOR training software from AI2 gives virtual robots a hand — and an arm

ManipulaTHOR training software from AI2 gives virtual robots a hand — and an arm

You can lead a virtual robot to a refrigerator, but you can’t make it pull out a drink. This is the problem that a new robotic agent is designed to address.

@egrefen shared
On Apr 22, 2021
RT @uwcse: #UWAllen Ph.D. student @hllo_world in the @uwnlp was named an @Apple Scholar in #AI & #ML to teach machines to generalize by reading natural language specifications and make virtual assistants like #Siri smarter. https://t.co/wHHcZw8fcB https://t.co/e5jFY9js92
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Allen School student Victor Zhong named an Apple Scholar for his efforts to teach machines to generalize by reading natural language specifications

Allen School student Victor Zhong named an Apple Scholar for his efforts to teach machines to generalize by reading natural language specifications

“This work is particularly exciting because it opens up new ways to think about how to build more sophisticated language understanding systems with significant less manual …

@NandoDF shared
On Apr 24, 2021
A.I. Bible text attribution using “deep learning image processing (a type of machine learning where the A.I. looks for visual patterns in data)”. Interesting to see how people think DL, ML and AI relate to each other. Interesting application to history too https://t.co/4w7zw2imhG
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A.I. reveals the hidden author of a crucial Bible text

A.I. reveals the hidden author of a crucial Bible text

Scientists have used machine learning to uncover hidden details in the Dead Sea Scrolls, a crucial Biblical text, such as how many authors the text really had.

@rsalakhu shared
On Apr 27, 2021
A Learning Theoretic Perspective on Local Explainability – Machine Learning Blog | ML@CMU | Carnegie Mellon University https://t.co/QWPqCJ1ysH
Open
A Learning Theoretic Perspective on Local Explainability

A Learning Theoretic Perspective on Local Explainability

Fig 1: A formal relationship between interpretability and complexity. Going from left to right, we consider increasingly complex functions. As the complexity increases, local linear ...