Ankaa Pmo®

Image Processing With Deep Learning

Actualités, Développement IoT, Innovation

Computers today can not only automatically classify photos, but they can also describe the various elements in pictures and write short sentences describing each segment with proper English grammar. This is done by the Deep Learning Network (CNN), which actually learns patterns that naturally occur in photos. Imagenet is one of the biggest databases of labeled images to train the Convolutional Neural Networks using GPU-accelerated Deep Learning frameworks such as Caffe2, Chainer, Microsoft Cognitive Toolkit, MXNet, PaddlePaddle, Pytorch, TensorFlow, and inference optimizers such as TensorRT.

Neural Networks were first used in 2009 for speech recognition and were only implemented by Google in 2012. Deep Learning, also called Neural Networks, is a subset of Machine Learning that uses a model of computing that’s very much inspired by the structure of the brain.

Source de l’article sur DZONE (AI)

17 août 2018/0 Commentaires/par Service comm.

Machine Learning in the World of Nuclear Physics [Video]

Actualités, Développement IoT, Innovation

How does TensorFlow apply to nuclear physics? In this video, I chat with Ian Langmore to learn about power generated from nuclear fusion, new plasma generator machines, and how TensorFlow is helping with plasma measurement.

To learn more about what we talked about:

Source de l’article sur DZONE (AI)

16 août 2018/0 Commentaires/par Service comm.

What Enterprise Software Delivery Can Learn From a Woman, Hackathon, and ML

Actualités, Développement IoT, Innovation

What a special experience. An old friend and colleague, Lynn Pausic, one of the co-founders of Expero — a company with extensive experience in Machine Learning applied to complex business and technical problems — asked if I would help judge a “Machine Learning hackathon for women.” How could I say no to that?

Eight teams of women presented highly innovative and varied ideas for Machine Learning that could be applied to do good in the world, help improve and save lives, and even make home-cooking easier!

Source de l’article sur DZONE (AI)

15 août 2018/0 Commentaires/par Service comm.

Using AI And ML For Translation Solutions

Actualités, Développement IoT, Innovation

Natural Language Processing; it’s Artificial Intelligence that learns words and patterns of words so that it can respond to human searches and questions. Siri and Alexa are examples of this technology.

And this technology is continually improving. As more and more conversations are held with these machines, they continue to learn and respond more accurately.

Source de l’article sur DZONE (AI)

14 août 2018/0 Commentaires/par Service comm.

Python vs. R: Which Should You Choose For Your Next ML Project?

Actualités, Développement IoT, Innovation

Data science is all about capturing data in an insightful way, whereas Machine Learning is a key area of it. Data science is a fantastic blend of advanced statistics, problem-solving, mathematics expertise, data inference, business acumen, algorithm development, and real-world programming ability. And Machine Learning is a set of algorithms that enable software applications to become more precise in predicting outcomes or take actions to separate it without being explicitly programmed.

The distinction between data science and Machine Learning is a bit fluid, but the main idea is that data science emphasizes statistical inference and interpretability, while Machine Learning prioritizes predictive accuracy over model interpretability. And for both data science and Machine Learning, open source has become almost the de facto license for innovative new tools.

Source de l’article sur DZONE (AI)

13 août 2018/0 Commentaires/par Service comm.

Executive Insights on the Current and Future State of Artificial Intelligence

Actualités, Développement IoT, Innovation

This article is featured in the new DZone Guide to Artificial Intelligence: Automating Decision-Making. Get your free copy for more insightful articles, industry statistics, and more!

To gather insights on the state of artificial intelligence (AI), and all of its subsegments — machine learning (ML), natural language processing (NLP), deep learning (DL), robotic process automation (RPA), regression, etc., we talked to 21 executives who are implementing AI in their own organization and helping others understand how AI can help their business. Specifically, we spoke to:

Source de l’article sur DZONE (AI)

12 août 2018/0 Commentaires/par Service comm.

How AI Will Take Predictive Analytics to the Next Level

Actualités, Développement IoT, Innovation

This article is featured in the new DZone Guide to Artificial Intelligence: Automating Decision-Making. Get your free copy for more insightful articles, industry statistics, and more!

Since February of 2018, scientists from Google’s health-tech subsidiary have pioneered innovative ways of creating revolutionary healthcare insights through artificial intelligence prediction algorithms. Based on the back of a patient’s eye scan, their system can make predictions against the patient’s risk of experiencing a severe cardiac incident.

Source de l’article sur DZONE (AI)

11 août 2018/0 Commentaires/par Service comm.

Why Chatbots Are the Future of M-Commerce

Actualités, Développement IoT, Innovation

Conversation drives sales and this is a well-known fact. For customers, it is important to have someone to ask questions and clarify doubts, someone who could guide them and recommend them the best option. Today, conversations can be automated, and today there is no need to have a physical person attached to each customer. Nowadays, conversational commerce became a fast-growing buzzword and chatbots play a key role in this field. Today, I would like to discuss why chatbots became so popular and why e-commerce and m-commerce companies heavily invest in it.

What Is a Chatbot?

First off, let’s make sure we are on the same page. What is a chatbot?
A chatbot is a computer program or an artificial intelligence, which conducts a conversation via auditory or textual methods. It simulates how a human would behave in an automatic way, improving the efficiency of the process.

Source de l’article sur DZONE (AI)

10 août 2018/0 Commentaires/par Service comm.

Natural Language Interface In the Enterprise

Actualités, Développement IoT, Innovation

Why Enterprise Application Companies Should Take a Cue From Apple’s Siri and Google Assistant

Enterprise applications are the next frontier in the adoption of natural language interfaces. Unlike consumer tech, e-commerce, and various chatbots where NLP/U is more of a technical novelty, the world of enterprise is a killer ground for natural language interfaces.

A Need for a Unified Interface

One of the key unique properties of natural language is the fact that it provides a unified interface to any data source or sources. It’s the one interface that everyone already knows, and at the same time, it’s the same interface to any supporting system. Think about it…you can easily ask a lawyer, salesman, or marketing professional about any specific topic as long as you can formulate a question in a minimally understandable way.

Source de l’article sur DZONE (AI)

9 août 2018/0 Commentaires/par Service comm.