AI Essentials

Applied Use Cases

Explore how AI will change your business along with detailed references, concrete examples and use cases. This Essentials has been published to help turn business challenges into success with Artificial Intelligence and Machine Learning.

Top news of the week: 09.03.2021.

#China
#TwoSessions
#ML
#news
#tech
#uk
#ai
#robotics
#robots
#iot

Applied Use Cases

@arstechnica shared
On Mar 7, 2021
Facebook’s new AI teaches itself to see with less human help https://t.co/4NRMmqzR7d by @wired
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Facebook’s new AI teaches itself to see with less human help

Facebook’s new AI teaches itself to see with less human help

This new approach eliminates the need for picture labeling.

@arstechnica shared
On Mar 5, 2021
Rocket Report: SpaceX explains landing failure, More on New Glenn delays https://t.co/UVHMOECqEA by @SciGuySpace
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Rocket Report: SpaceX explains landing failure, more on New Glenn delays

Rocket Report: SpaceX explains landing failure, more on New Glenn delays

"The level of detail that we get is remarkable, how good the forecast is."

@jackclarkSF shared
On Mar 3, 2021
One surprising finding from the @StanfordHAI @indexingai report: COVID was... good for conferences? AI conferences have had physical capacity issues; COVID forced conferences to go virtual which led to spikes in attendance. (Full report here: https://t.co/CBLQiO4ZQn ) https://t.co/ASM9d6r1ZD
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THE AI INDEX REPORT

THE AI INDEX REPORT

The Technical Performance chapter discusses how an AI startup used machine-learning-based techniques to accelerate COVID-related drug discovery during the pandemic, and our …

@Sam_L_Shead shared
On Mar 5, 2021
RT @ArjunKharpal: #China and the US are locked in a battle for tech supremacy. In it's latest Five Year Plan, Beijing lays down the areas it's going to focus R&D on from AI to quantum computing and brain-computer fusion #TwoSessions https://t.co/hfkeHsK7Tp
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In battle with U.S., China to focus on 7 ‘frontier’ technologies from chips to brain-computer fusion

In battle with U.S., China to focus on 7 ‘frontier’ technologies from chips to brain-computer fusion

China laid out seven technology areas it will focus research on including artificial intelligence, quantum computing, semiconductors and space.

@AI_TechNews shared
On Mar 3, 2021
Five common use cases where machine learning can make a big difference https://t.co/tJeW1oGZOE #ML https://t.co/2wIjvXk8ht
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Five common use cases where machine learning can make a big difference

Five common use cases where machine learning can make a big difference

Machine learning is not a silver bullet. However, there are many situations where it can outperform linear and statistical algorithms.

@guardiantech shared
On Mar 8, 2021
'Typographic attack': pen and paper fool AI into thinking apple is an iPod https://t.co/0t2KcRWhr2
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'Typographic attack': pen and paper fool AI into thinking apple is an iPod

'Typographic attack': pen and paper fool AI into thinking apple is an iPod

OpenAI’s Clip system fails to correctly decipher images when words are pasted on picture

@AI_TechNews shared
On Mar 4, 2021
RT @IoTTechNews: Construction begins on £22.4 million National Robotarium in the UK https://t.co/wbV3GkYVEs #news #tech #uk #ai #iot #robots #robotics https://t.co/sh2H0kbU1I
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Construction begins on £22.4 million National Robotarium in the UK

Construction begins on £22.4 million National Robotarium in the UK

The UK has begun construction of a £22.4 million National Robotarium in Edinburgh which aims to solidify the country as a leader in AI and robotics.

@Miles_Brundage shared
On Mar 5, 2021
RT @ylecun: A new blog post I wrote with Ishan Misra. An overview of Self-Supervised Learning. We look at recent progress in SSL for vision & explain why SSL is more challenging with high-D continuous signals (images, video) than it is for discrete signals (text). https://t.co/DlL885CPpb
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Self-supervised learning: The dark matter of intelligence

Self-supervised learning: The dark matter of intelligence

How can we build machines with human-level intelligence? There’s a limit to how far the field of AI can go with supervised learning alone. Here's why self-supervised learning is one of the ...