1. Making technology work for 1.3 billion Indians
2. Track the number of coffees consumed using AWS DeepLens
AWS DeepLens is a deep-learning-enabled video camera for developers.
1. RockMass Develops AI for Mapping Tunnels and Mineshafts | NVIDIA Blog
RockMass is digging a niche for itself in mining and tunnels.
The Toronto-based startup is developing an NVIDIA AI-powered mapping platform that can help engineers assess tunnel stability in mines and construction. The startup is developing the AI platform for robots, drones and handheld devices used to capture geological data. Read More
2. What we learn from AI’s biases
1. Hospitality robot serves hotel guests
2. An Introduction to Random Forest using the fastai Library (Machine Learning for Programmers – Part 1)
1. Algorithms and data – what does the future hold? Chips with Everything podcast
“Algorithm”, once an academic term used by mathematicians and scientists, has entered the general lexicon thanks to today’s quickly evolving technology-driven society. And could they ever truly capture what it means to be human. Joining producer Max in the studio, they discuss the role big data plays, what algorithms might teach us about humanity, and the role these systems might play in health – both good and bad. Read More
2. The Day Of The Machine Is Here: Are We Human Enough To Seize It?
1. 5 Amazing Machine Learning GitHub Repositories & Reddit Threads from September 2018
How many times have you come across research papers and wondered how to implement them on your own. Read More
2. Comparison of the Most Useful Text Processing APIs – ActiveWizards: machine learning company –
Comparison of the Most Useful Text Processing APIs
Nowadays, text processing is developing rapidly, and several big companies provide their products which help to deal successfully with diverse text processing tasks. No specific knowledge or experience in the natural language processing is required. It provides high-level API for such text-processing tasks as language detection, sentiment analysis, topic modeling, keyphrase extraction, and entity recognition. Read More
3. The Rocket Alignment Problem
1. Baidu is testing neural networks that can match job seekers to jobs
The Chinese company’s technology identifies candidates whose skills meet employers’ needs.
The news: In a recent paper, Baidu researchers showed how their neural net can work out from their résumés which skills job seekers possess, and spot what skills certain job postings are asking for.
Where it falls short: In a test, the system had a hard time matching educational job requirements, because its sample overwhelmingly had the same requirement of “bachelor’s degree or higher. Read More
2. This app knows when you’ve been in an accident — and then it calls 911 for you
1. 114: Synthetic images take a big leap forward with BigGANs; US lawmakers call for national AI strategy; researchers probe language reasoning via HotspotQA
Getting hip to multi-hop reasoning with HotpotQA:…New dataset and benchmark designed to test common sense reasoning capabilities…Researchers with Carnegie Mellon University, Stanford University, the Montreal Institute for Learning Algorithms, and Google AI, have created a new dataset and associated competition designed to test the capabilities of question answering systems. The new dataset, HotspotQA, is far larger than many prior datasets designed for such tasks, and has been designed to require ‘multi-hop’ reasoning to thereby test the growing sophistication of newer NLP systems at performing increasing cognitive tasks. Read more: HotpotQA website with leaderboard and data (HotpotQA Github). Read More
2. [1810.00092] The Partially Observable Games We Play for Cyber Deception
1. AI-powered IT security seems cool – until you clock miscreants wielding it too
Comment We’re hearing more about AI or machine learning being used in security, monitoring, and intrusion-detection systems.
Interestingly, ISACA highlighted the different perceptions of AI risk between the digitally informed and business leaders who are technically illiterate. Organisations led by digitally literate leaders were almost twice as likely to deploy AI than other organizations (33 per cent compared to 18 per cent). Read More