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Showing posts from June, 2018

Ultrasonic Harm and AI Self-Driving Cars

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By Lance Eliot, the AI Trends Insider The law of unintended consequences is going to impact AI self-driving cars. You can bet on it. Actually, as a society, we’re likely mainly interested in the “adverse” unintended consequences side of that natural law, since there are bound to be lots of otherwise “favorable” unintended consequences – the favorable benefits we can all readily live with. It’s the adverse ones that pose potential concern and could lead to harm. You might recall that in the 1990’s there was the advent of the passenger side airbags on cars, which everyone at first thought would be a great safety add-on to cars. Few cars had it initially and only the more expensive new cars were outfitted with it. Gradually, the cost dropped and most of the auto makers included those passenger side airbags in their basic models. So far, so good. But, what began to emerge were reports of small children getting harmed when the passenger side airbags deployed. This was due to the aspect ...

AI Ecosystem in Toronto a Model: Region’s AI Talent Attracting Support From Investors, Major Players

To Share or Not to Share: That is the Big Data Question

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Between the disclosures this year about Facebook’s lax data sharing policies and the European Union’s GDPR (General Data Protection Regulation), a lot of people are talking about data privacy and consumer rights. How much data should you share as a consumer with companies like Facebook or Google? But what about businesses? Enterprise organizations may be dealing with their own data privacy dilemma — should they share their corporate data with partners or with vendors or with some other organization? If so, what data is OK to share, and what should they keep as private and proprietary? After all, data is the new oil. Amazon, Facebook, and Google have all built multi-billion dollar companies by collecting and leveraging data. Although it is one of the top assets a company may have, there may be compelling reasons to share data, too. For instance, leading edge cancer centers could potentially speed up and advance society’s effort to cure cancer if they shared the data that each of...

The Mathematics of Machine Learning

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By Wale Akinfaderin, PhD candidate in Physics at Florida State University In the last few months, I have had several people contact me about their enthusiasm for venturing into the world of data science and using Machine Learning (ML) techniques to probe statistical regularities and build impeccable data-driven products. However, I’ve observed that some actually lack the necessary mathematical intuition and framework to get useful results. This is the main reason I decided to write this blog post. Recently, there has been an upsurge in the availability of many easy-to-use machine and deep learning packages such as scikit-learn, Weka, Tensorflow etc. Machine Learning theory is a field that intersects statistical, probabilistic, computer science and algorithmic aspects arising from learning iteratively from data and finding hidden insights which can be used to build intelligent applications. Despite the immense possibilities of Machine and Deep Learning, a...

Edmonton Startup using AI to Fix ‘Broken Meetings’

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Meetings cost time and money to run, and many of them are unnecessary, says Testfire Labs CEO Dave Damer. His solution: the company’s AI assistant, Hendrix.ai. Currently in its beta test phase, it takes a meeting’s minutes, noting questions, answers and action items by listening via microphone. Its meeting summaries leave out “chit chat” for clarity. Exact transcripts aren’t kept for reasons of confidentiality, said Damer, who founded the company in 2017. “The demands to do more with less in modern business keep increasing,” Damer said. “AI gives us an opportunity to legitimately take things off peoples’ hands that are generally mundane tasks so they can focus on higher-value work.” Hendrix.ai also tracks attendance rates, numbers of last-minute meetings and meeting lengths. On May 25, Testfire Labs won a Startup Canada regional innovation award for its work on Hendrix.ai. Startup Canada CEO Victoria Lennox said the adjudicators liked how Testfire Labs integrated AI int...

DataWorks Summit Launches Demopalooza with a Bang

This blog post was originally published on the DataWorks Summit Blog.  One of the most exciting additions to DataWorks Summit was a new event called Demopalooza. Now, I might be slightly biased as one of the hosts, but it sure seemed like attendees really enjoyed themselves. There could be few reasons for this, not least of which […] The post DataWorks Summit Launches Demopalooza with a Bang appeared first on Hortonworks .

Three Ways L&D Leaders Can Set Internal Data Analytics Programs Up for Success

As technology continues to change the way organizations around the world design processes, improve efficiencies, collaborate and partner with others, and grow their network, there is an increasing need for robust data analytics capabilities across almost every industry. Having the ability to capture and harness detail-rich information about both internal and external operations is key to moving forward in an increasingly tech-savvy world that demands personalization and customization around every turn. Yet, for leaders within the Learning and Development (L&D) spheres, it can be difficult to get everyone on board with data analytics programs, chiefly because there is an inherent lack of knowledge around how those insights can benefit everyone, across every department. When a company is led by data-driven thinking, it’s able to create clearer forecasts, stronger marketing and outreach programs, and more effective products and services across the board. Yet, some leaders and mana...

Will AI Ever Replace Manual Content Creation?

The rapid rise of artificial intelligence has many worried that the next chapter in history will be defined by job loss stemming from automation. Many working professionals in an assortment of industries are getting increasingly concerned that a robot or a powerful piece of software might take their job next, and even content creators are beginning to look at the success of AI developers with concern. Increasingly, some are even beginning to nurture doubts that AI could replace manual content creation entirely. As we’ll come to see, AI is unlikely to replace manual content creation entirely. While the AI-driven production of new content will continue to grow in popularity, human-generated content will remain popular and marketable for the foreseeable future. The rise of the machines is overblown It’s indisputable that we’ve seen some mind-boggling developments in the field of robotics and artificial intelligence over the past few decades. Scientific advancements once thought impo...

Increasing Hadoop Storage Scale by 4x!

This is the 8th blog of the Hadoop Blog series (part 1, part 2, part 3, part 4, part 5, part 6, part 7).  In this blog, we will discuss how NameNode Federation provides scalability and performance benefits to the cluster. The Apache Hadoop Distributed File System (HDFS) is highly scalable and can support petabyte-sizes […] The post Increasing Hadoop Storage Scale by 4x! appeared first on Hortonworks .

Why the Internet Has a Problem and What We Can Learn from China’s Sesame Credit

The internet has a problem. On the one hand, we have the ‘Western internet’ where everyone can do as they like, where you can be anonymous and say/do whatever you want, but where reputation and online trust is difficult. As the famous saying goes: “on the internet, nobody knows that you are a dog”. On the other hand, we have the ‘Chinese internet', where every action you do is recorded and contributes positively or negatively to your reputation. However, privacy is non-existent. None of these two internets is ideal, which is why we are working on a solution to make anonymity reputable and accountable.  However, for most of us, the ‘Western internet’ is known, while the ‘Chinese internet’ is less known. Especially their social credit scoring system that enables (online) reputation in China might be relatively unknown. This Sesame Credit scoring system is rapidly changing China and how Chinese citizens interact with each other. Let’s have a look what Sesame Credit is and what the e...

MongoDB Ruby Driver 2.5.x Case-Sensitivity Issues with Hostnames on Replica Sets

Having trouble connecting to MongoDB replica sets after upgrading the MongoDB Ruby driver to 2.5.x? We've recently received a few inquiries about this issue with the latest MongoDB Ruby driver version and wrote this post to share our findings on the problem and cause. The error message that was encountered on connection attempt was - No server is available matching preference: #<Mongo::ServerSelector::Primary:...> The issue had been already reported to MongoDB and is being tracked here. We spent some time to investigate this issue and the root cause introduced in the driver code in 2.5.x. MongoDB Ruby Driver 2.5.x Issue Summary The issue exists in the 2.5.x version(s) of the MongoDB Ruby driver and is encountered when the hostnames comprising of the replica set contain case-sensitive characters, for example, ABC-server1.example.com. Possible workarounds are:  Downgrade to 2.4.x or upgrade 2.6.x once it's made available. Ch...

How Artificial Intelligence is changing the Farms of Future

The agricultural sector is one of the most crucial sectors for mankind. With exponentially increasing population and scarcity of resources, the agricultural sector is under constant strain. One thing is clear that traditional methods of farming cannot feed the masses for a long time. There is a need for the agricultural sector to revolutionize. Artificial intelligence has become an agent of change that is revolutionizing the agricultural industry. Artificial intelligence has introduced new technological trends that have made farming easier and highly productive. In this article, we are going to discuss how artificial intelligence is going to change the agricultural farms of the future. Selecting the Seeds Artificial intelligence applications have enabled the farmers to select the hybrid and best quality seed for the crop that can maximize the output. Artificial intelligence and machine learning algorithms can help the farmers in selecting the seeds that are suitable according to ...

Freezing Robot Problem and AI Self-Driving Cars

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By Lance Eliot, the AI Trends Insider There were two human chess masters playing a chess game the other day. It was a timed game. Each had no more than five minutes to make their move on the chessboard. After making a move, the player making the move would press down on the top of a small clock-timer on the table to signal that they had made their move. You’ve probably seen this in various chess tournaments. At the start of the chess game, they were each slapping the timer as fast as they could get their hands on top of it. The initial moves in a chess game are often lightning fast since the opening maneuvers are all pretty much well studied and practiced. This also tends to happen towards the end game portion of a chess match too, wherein usually there are so few pieces left that the moves are relatively obvious and so the players are quick to make their moves. Mid-game of a chess match the moves tend to slow down. This is due to being in muddied territory. The chess players opt t...

Canada’s AI Initiative Brings Together Government, Academia, Industry In Quest to Expand National Economy

The Rise of the Chief Data Officer (CDO)

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Data has taken on a central role in our daily lives, permeating nearly every activity in the business and public sectors. It’s now considered an essential piece of the puzzle for any serious organization, enabling everything from game-changing insights to the birth of entire new technologies or business models. In fact, data is so important nowadays that some experts are saying that it’s the most valuable resource in the modern economy, even going as far as describing data as the “new oil”. While not everyone agrees with this kind of hyperbole, it’s fair to say that how organizations approach data will be a major determining factor for future growth and success – and thus, having someone to make the most of data is crucial. To guide these kinds of decisions, many organizations are making a structural change to their C-suite: the addition of a Chief Data Officer (CDO). THE CHANGING C-SUITE The set of executives that reports to the modern CEO is constantly evolving, and over the las...

Udacity’s School of AI Opens the New Deep Reinforcement Learning Nanodegree Program for Enrollment

BotChain Continues Partnership Growth with Additions of Passage AI and SEED

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BotChain, the universal ledger for verified bot registration on the blockchain, announced partnerships with Passage AI and SEED. All three organizations share a common goal: heightening trust, transparency and collaboration in the AI ecosystem. Together, they are committed to leveraging the power of blockchain to advance these goals. These partnerships further the value of BotChain’s platform, value, and its purpose as a decentralized source of verifiable AI developer and machine identity. Passage AI is joining a community of established BotChain partners and developers who have all agreed to register their AI bots so that end-users can verify and trust the machines with which they are engaging. Passage AI enables companies to build AI-powered chatbots utilizing natural language processing, natural language understanding, and deep learning alongside its bot development tools. By agreeing to register their bots, end users have an ability to verify both the identity of the bot and the ...

The Top 6 Free Redis Memory Analysis Tools

When it comes to analyzing the memory usage of a Redis instance, there are lots of free and open-source tools in the market, along with a smattering of paid products. Some of the most popular ones are Jacks (of all trades fame), but if you’re looking for a deeper analysis of your memory problems, you might be better off with one of the more targeted, and lesser-known tools. In this post, we've compiled a list of the top 6 free tools we found most useful in analyzing memory usage of our Redis instances: Redis Memory Analyzer (RMA) Redis Sampler RDB Tools Redis-Audit Redis Toolkit Harvest Read the full post: The Top 6 Free Redis Memory Analysis Tools 1) Redis Memory Analyzer Redis Memory Analyzer (RMA) is one of the most comprehensive FOSS memory analyzers available for Redis. It supports three different levels of details: Global - Overview of memory usage information. Scanner - Highest level keyspace/prefix level memory usage information - in other words...

How Artificial Intelligence in Healthcare Can Improve Patient Outcomes

Here's how using artificial intelligence in healthcare can help overworked physicians spot existing problems and predict future ones. The post How Artificial Intelligence in Healthcare Can Improve Patient Outcomes appeared first on Hortonworks .

Driving Styles and AI Self-Driving Cars

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By Lance Eliot, the AI Trends Insider Have you ever been behind a slowpoke car? It always seems to happen that there’s a car going excruciatingly slow when you are in a rush to get to your destination. You try to look through the rear window of their car to get a sense of what kind of person is in the driver’s seat, and you are curious about why that person can’t seem to find the accelerator pedal. Your first thought is that maybe it’s a senile person that no longer seems to be able to properly control a car. Or, maybe it’s a young timid driver that worries they’ll get a ticket for going to fast. Those fully compliant stops and long pauses at a stop sign are enough to make you want to honk your horn and maybe even shove the car ahead of you out of the way. In driving parlance, those slow drivers are often referred to as “dead time” drivers. They aren’t in any rush. They have all the time in the world. For them, they believe that driving slowly is the right way to drive. If they see...