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ImageNet Roulette uses a neural network trained on the “people” categories from the ImageNet dataset to classify pictures of people. It’s meant to be a peek into the politics of classifying humans in machine learning systems and the data they’re trained on. ImageNet Roulette isn't designed to handle heavy traffic so if it's not working for you please be a little patient.
Via Farid Mheir
Près de 40% des startups européennes d’intelligence artificielle n’ont aucune application d’IA. C’est ce que révèle une alarmante étude menée par MMC, qui démontre que les investisseurs peinent à distinguer les vraies startups IA des charlatans opportunistes.
Buzzwords like “deep learning” and “neural networks” are everywhere, but so much of the popular understanding is misguided, says Terrence Sejnowski, a computational neuroscientist at the Salk Institute for Biological Studies.
Sejnowski, a pioneer in the study of learning algorithms, is the author of The Deep Learning Revolution (out next week from MIT Press). He argues that the hype about killer AI or robots making us obsolete ignores exciting possibilities happening in the fields of computer science and neuroscience, and what can happen when artificial intelligence meets human intelligence.
The Verge spoke to Sejnkowski about how “deep learning” suddenly became everywhere, what it can and cannot do, and the problem of hype.
Via David Hain
In this article, we cover a variety of examples in which AI is being integrated in the retail industry, broken down into the following sub-categories: Sales and CRM Applications, Customer Recommendations, Manufacturing, Logistics and Delivery, Payments and Payment Services
Via Farid Mheir, THE OFFICIAL ANDREASCY
The future of navigation will be centralized around HD maps. While plenty of companies exist to provide this type of data, all are limited by paywalls and strict Terms-of-Service. It is time for this paradigm to change. Comma.ai is releasing US interstate HD maps from our 5,000,000+ miles of data.
Via Farid Mheir
eMarketer: What role does AI play in customer acquisition?
Lyle: To acquire customers, marketers have to understand attribution, and artificial intelligence can fill a lot of the gaps in existing attribution models. AI can unwind the path to purchase, and pinpoint when a customer comes to a brand’s site and leaves without converting.
Maybe they looked at a particular blog post about a product, searched for that product, found it, but still didn’t convert. Why? Because they went on their mobile phone on the way home, found a coupon on an affiliate site and then converted. AI can sequence that path to purchase and explain all that.
Via Marteq
Adobe, one of the world’s largest and most powerful software companies, is trying something new: It's applying machine learning and image recognition to graphic and web design. In an unnamed project, the company has created tools that automate designers' tasks, like cropping photos and designing web pages. Should designers be worried? The new project, which uses Adobe’s AI and machine learning program Sensei and integrates into the Adobe Experience Manager CMS, will debut at the company’s Sneaks competition later in March. While Adobe hasn’t committed to integrating it into any of its products, it’s one of the most ambitious attempts to marry machine learning and graphic design to date. There have been efforts to use AI in the design world before—for instance, Wix’s Advance Design Intelligence and automated projects like Mark Maker, but Adobe’s is notable because of the company’s sheer reach in the design world. Although it’s just a prototype, it’s one to watch closely....
Via Jeff Domansky
By now everyone has heard of Google’s RankBrain, the new artificial intelligence machine learning algorithm that is supposed to be the latest and greatest from Mountain View, Calif. What many of you might not realize, however, is just how fast the SEO industry is changing because of it. In this article, I’ll take you through some clear examples of how some of the old rules of SEO no longer apply, and what steps you can take to stay ahead of the curve in order to continue to provide successful SEO campaigns for your businesses.
So what is artificial intelligence?
There are generally three different classifications of artificial intelligence: - Artificial Narrow Intelligence (ANI): This is like AI for one particular thing (e.g. beating the world champion in chess).
- Artificial General Intelligence (AGI): This is when the AI can perform all things. Once an AI can perform like a human, we consider it AGI.
- Artificial Superintelligence (ASI): AI on a much higher level for all things (e.g. beyond the capabilities of a single human)....
Via Jeff Domansky
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Field notes for busy people on self-learning software and its commercial applications.
Via John Evans
This report lays out a maturity model for AI adoption in the enterprise. It outlines five stages of AI maturity based on how organizations approach business strategy, data science, product and service design, organization and culture and ethics and governance.
Via Farid Mheir
Help us make storytime more magical! We're looking to create a library of interactive children’s books that all families can benefit from. These stories are narrated and contain no text as they are…
Via Ana Cristina Pratas
If you keep hearing about artificial intelligence but aren’t quite sure what it means or how it works, you’re not alone.
There’s been much confusion among the general public about the term, not helped by dramatic news stories about how “AI” will destroy jobs, or companies that overstate their abilities to “use AI.”
A lot of that confusion comes from the misuse of terms like AI and machine learning. So here’s a short text-and-video guide to explain them:
Via John Evans
The Fourth Industrial Revolution represents a fundamental change in the way we live, work and relate to one another. It is a new chapter in human development, enabled by extraordinary technology advances commensurate with those of the first, second and third industrial revolutions. These advances are merging the physical, digital and biological worlds in ways that create both huge promise and potential peril. The speed, breadth and depth of this revolution is forcing us to rethink how countries develop, how organisations create value and even what it means to be human. The Fourth Industrial Revolution is about more than just technology-driven change; it is an opportunity to help everyone, including leaders, policy-makers and people from all income groups and nations, to harness converging technologies in order to create an inclusive, human-centred future. The real opportunity is to look beyond technology, and find ways to give the greatest number of people the ability to positively impact their families, organisations and communities.
Via Farid Mheir
L'IA destinée à trouver des solutions afin de personnaliser les traitement
Via Rémy TESTON
There are many forces that are shaping the future of the internet today, from artificial intelligence (AI) and cyberthreats to the internet of things (IoT) and the rising role of government—all of which impact key areas, including digital divides, personal freedoms and rights, as well as media and society.
The internet Society (ISOC)’s 2017 Global internet Report found for example that AI and IoT, for all of their benefits to people’s personal and work lives, could result in a “surveillance society.” Therefore, ethical considerations should steer technology development and guide its use.
The survey also found wide-ranging fears that there are significant forces at work that may undermine the promise of the internet for future generations. For example, many believe that internet freedom will continue to decline around the world due to widespread surveillance, internet shutdowns and content regulation. At the same time, cybersecurity issues will pressure governments to take decisions that could erode the open and distributed global governance of the internet. Measures that may be intended to secure cyberspace may undermine personal rights and freedoms. Without a change of course, online freedoms may be nearing a point of irreversible decline, ISOC found. Learn more / En savoir plus / Mehr erfahren: http://www.scoop.it/t/securite-pc-et-internet/?&tag=AI http://www.scoop.it/t/securite-pc-et-internet/?&tag=iot
Via Gust MEES
While making a robot sounds complicated for most people, creating a chatbot is way, way easier. The term chatbot stands for an Artifical Intelligence (AI) that automatically chats with internet users, and answers the questions they ask.
A chatbot can function in many different ways. Depending on its type, a chatbot can talk to you or provide customer service, tell you what the current weather, and even contest parking tickets (successfully). For businesses, chatbots could respond to a customer’s question and help you do your job.
The question now is where do you get or how do you create a chatbot? Well, these are the chatbot creator apps out there you can try. Most of them don’t require programming knowledge to use....
Via Jeff Domansky
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WHY IT MATTERS: ImageNet has 14M pictures categorized in 32000 categories and is often used as the training dataset for image recognition neural networks. Here this website allows you to upload an image and see how the system would categorize you. It is interesting to play with different images to see what the system returns in order to get a sense of the huge amount of data that AI systems require in order to do a good job. We are far away from systems that can classify any image in any context but if you have a special niche with sufficient amount of data, it is quite impressive what can be done in a relatively short amount of time.