Artificial Intelligence Helsinki Smart Region


Helsingin Sanomat responded to the bafflement by stating that the election engine's algorithm was built to recommend parties, not single candidates, that best correspond to a citizen's political views. This arrangement left perfectly suited candidates to the sidelines of the engine's suggestions. As a result of public discussion about the engine's function the newspaper published its algorithm for everyone to see. It also modified the algorithm based on the suggested improvements it received. Meeri Haataja was thrilled about the conversation.

Udacity launches nontechnical AI product manager nanodegree


Online education provider Udacity said today it's launching a nanodegree program to teach product managers how to create AI-powered products. The nontechnical course will also teach product managers how to identify business opportunities with AI or machine learning. Enrollment for the first program begins today and consists of 6 lessons and 3 projects, and lasts about 2 months. "Students will start off by learning the foundations of AI and machine learning, starting with the unsupervised and supervised models that are used in industry today," Udacity founder Sebastian Thrun told VentureBeat in an email. "As a next step, they will learn how to use Figure Eight's data annotation platform to develop a labeled dataset for supervised learning. Finally, students will develop a business proposal for an AI product of their choice, while learning strategies for continuously learning and updating a machine learning model."

How AI can Help you Better Serve your Customers


Do you want to optimise your processes? To manage the increasing volume of data facing by modern organisations today, Artificial Intelligence technologies (AI) offers a new way to ease the ingestion, enrichment and exploitation of their information. Automatic image recognition creates personalised customer experiences, delivering a true competitive advantage. Adding context to your information, AI can bring the right data, to the right person at the right time, delivering superior benefits for companies: happier and more productive teams, increased ROI and a personalised experience for your customers.

Samsung looking at 6G, Blockchain and Artificial Intelligence Technologies


Samsung is looking at investments in sixth-generation mobile networks, system semiconductors, blockchain and artificial intelligence technologies, Bloomberg recently reported. In the report, Samsung's Vice Chairman Jay Y. Lee noted that the company is facing challenges due to the global environment causing pressure on the company's profits. Executive Opinion Bloomberg quoted Jay Y. Lee of VC of Samsung Electronics, saying that, "We should challenge ourselves with a resolution to make new foundations, moving beyond the scope of protecting our past achievements." Samsung's Plans Bloomberg quoted an emailed statement by Samsung, where it was noted discussions among company leaders on collaboration with platform companies on 6G mobile networks, blockchain technologies and artificial intelligence. Maybe the rivals of the company (mainly Apple Inc. and Huawei Technologies Co.) led Lee in making this first ever public statement for 6G technology as these tech giants race to commercialize 5G network services, which launched in South Korea during the month of April.

The Sonos One speaker is at its lowest price ever right now

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The Sonos One has all the benefits of an Echo dot, with the power of an incredible speaker. If you make a purchase by clicking one of our links, we may earn a small share of the revenue. However, our picks and opinions are independent from USA Today's newsroom and any business incentives. Listen up, folks, because I'm about to tell you about a sale that's so hard to come by, I liken it to finding money on the street. Right now until midnight tonight, you can get the first generation Sonos One speaker on B&H for just $144.95, which is by far the lowest price we've ever seen it available for.

Weight Agnostic Neural Networks


In this work we introduced a method to search for simple neural network architectures with strong inductive biases for performing a given task. Since the networks are optimized to perform well using a single weight parameter over a range of values, this single parameter can easily be tuned to increase performance. Individual weight values can then be further tuned as offsets from the best shared weight. The ability to quickly fine-tune weights is useful in few-shot learning and may find uses in continual lifelong learning where agents continually acquire, fine-tune, and transfer skills throughout their lifespan . Early works connected the evolution of weight tolerant networks to the Baldwin effect .

Bayesian Machine Learning


As a data scientist, I am curious about knowing different analytical processes from a probabilistic point of view. There are two most popular ways of looking into any event, namely Bayesian and Frequentist . When Frequentist researchers look at any event from frequency of occurrence, Bayesian researchers focus more on probability of events happening.



This is a post related to my recent talk at PyLadies Vancouver. The talk is about how to use the EmoPy toolkit in Linux Ubuntu 16.04 with OpenCV Python to perform Emotion detection in images and videos. You can find my slides here. EmoPy is an open-source emotion detection toolkit developed by Thoughtworks and currently supports OS X. However, it has not been tested on a Linux OS.

Artificial Intelligence Is Coming for Our Faces


Every stranger's face hides a secret, but the smiles in this crowd conceal a big one: These people do not exist. They were generated by machine learning algorithms, for the purposes of probing whether AI-made faces can pass as real. University of Washington professors Jevin West and Carl Bergstrom generated thousands of virtual visages to create Which Face Is Real?, an online game that pairs each counterfeit with a photo of a real person and challenges players to pick out the true human. Nearly 6 million rounds have been played by half a million people. These are some of the faces that players found most difficult to identify as the cheery replicants they are.