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An Introduction to Deep Learning and it's role for IoT/ future cities

@machinelearnbot

This article is a part of an evolving theme. Here, I explain the basics of Deep Learning and how Deep learning algorithms could apply to IoT and Smart city domains. Specifically, as I discuss below, I am interested in complementing Deep learning algorithms using IoT datasets. I elaborate these ideas in the Data Science for Internet of Things program which enables you to work towards being a Data Scientist for the Internet of Things (modelled on the course I teach at Oxford University and UPM – Madrid).


Top 10 Computer Vision Companies in India to Watch

#artificialintelligence

Computer vision is an important Artificial Intelligence application that will transform many industries and many business processes. Also known as machine vision technology, this data-driven innovation allows machines to interpret the world visually. This visual data can be in the form of photos, videos, or feed from infrared and thermal cameras too. As a way of imitating the human visual system, the researchers in the field of computer vision intend to develop machines that can automate tasks that require visual cognition. One of the most commonly known examples of this technology is facial recognition.


Building better startups with responsible AI – TechCrunch

#artificialintelligence

Founders tend to think responsible AI practices are challenging to implement and may slow the progress of their business. They often jump to mature examples like Salesforce's Office of Ethical and Humane Use and think that the only way to avoid creating a harmful product is building a big team. The truth is much simpler. I set out to learn how founders were thinking about responsible AI practices on the ground by speaking with a handful of successful early-stage founders and found many of them were implementing responsible AI practices. They just call it "good business."


Not another AI post

#artificialintelligence

Federico Antoni is managing partner at ALLVP, an early-stage VC based in Mexico. He is a lecturer in management at the Stanford Graduate School of Business. "Over the last couple of years, a billion new people have joined the super-connected world. Billions more around the developing world, now, walk with a high-speed computer in their pockets. And yet, they don't have a bank account, a formal education or access to most of the services we take for granted in the U.S. Imagine the possibilities… imagine how you can change the lives of billions of people."


Top Challenges Startups Face While Implementing Artificial Intelligence

#artificialintelligence

Artificial intelligence (AI) is the crown of every tech-powered business enterprise -- whether small or big. And embracing new opportunities with AI is something every business must do to stay relevant in their industry. Implementing artificial intelligence in business will provide a direct impact on the success of the companies ranging from improved decision-making to better use of the extensive data generated. However, business-friendly it may sound; the path to implementing artificial intelligence in business is not a smooth ride. While larger businesses find themselves in a better position, the same cannot be said about startups.