algorithms: ai, ar, vr, crypto

Amazon’s Alexa vs. Google’s Assistant: Same Questions, Different Answers


You can, on a whim, ask them almost any question and they will try to answer it. I have both devices on my desk, and almost immediately I noticed something very puzzling: They often give different answers to the same questions. Not opinion questions, you understand, but factual questions, the kinds of things you would expect them to be in full agreement on, such as the number of seconds in a year.

How can this be? Assuming they correctly understand the words in the question, how can they give different answers to the same straightforward questions? Upon inspection, it turns out there are ten reasons, each of which reveals an inherent limitation of artificial intelligence as we currently know it.

Source: Gigaom | Amazon’s Alexa vs. Google’s Assistant: Same Questions, Different Answers

Virtualitics: VR/AR Analytics Platform using AI & Machine Learning 

Virtualitics is a transformative start-up company that merges artificial intelligence (AI), big data and virtual reality (VR), and augmented reality (AR) to gain insights from big and complex data sets. Furthermore, Virtualitics leverages AI and easy-to-use machine learning tools so even non-expert users can uncover multidimensional relationships present in complex data sets with the click of a button.

Source: Virtualitics: Caltech & NASA Scientists Build VR/AR Analytics Platform using AI & Machine Learning – insideBIGDATA

How CGI & AI will empower ‘fake news’ 

An image from a video suggesting that Julian Assange is dead and has been replaced by a CGI model.

Most people trust what they watch — but that won’t always be the case. Tech is being developed that will make it easy to create fake video footage of public figures or audio of their voice. The developments aren’t perfect yet, but they threaten to turbocharge “fake news” and boost hoaxes online. In years to come, people will need to be far more skeptical about the media they see.

Source: How CGI, AI will empower ‘fake news,’ make it harder to tell if videos are real – Business Insider

Is There a Market for Virtual Reality Marketing?

Dos Equis’s “Masquerade Party,” a 2014 virtual reality film, transported viewers into an interactive party

As the hype around virtual reality pushes its way into the mainstream, big brands are increasingly looking for ways to incorporate it into their marketing. Yet there are also pitfalls — from cost to tepid audience reaction — that make the decision to enter the virtual reality world a bit more complicated than it may first seem.

Source: Virtual Reality Leads Marketers Down a Tricky Path – The New York Times

Tracking What You Look At

“Eye tracking sensors provide two main benefits,” says Oscar Werner, vice president of the eye tracking company Tobii Tech. “First, it makes a device aware of what the user is interested in at any given point in time. And second, it provides an additional way to interact with content, without taking anything else away. That means it increases the communication bandwidth between the user and the device.”

There’s a chance that soon eye tracking will be a standard feature of a new generation of smartphones, laptops and desktop monitors setting the stage for a huge reevaluation of the way we communicate with devices—or how they communicate with us.

Source: Unlocking the potential of eye tracking technology | TechCrunch

See also:  Towson University eye-tracking lab

Will Voice-Enabled Gadgets Kill Google’s Cash Cow?

The big player in voice computing right now is Amazon, which sells the Amazon Echo speaker as well as a slew of new and coming products with the Alexa voice assistant built in. Amazon doesn’t need to make money from search ads. Instead, it can use Alexa as a way to encourage users to buy more stuff from Amazon and sign up for services like Amazon Prime.

Google makes its own voice-enabled gadgets to compete with the Echo, called the Home. The problem is that Google can sell plenty of Home devices, but they won’t make up for the bigger loss of ad revenue if voice really catches on and the world moves away from screens. Google needs to figure out a new type of ad or a new business model.

Source: Google CEO Sundar Pichai answers concerns over monetizing voice search – Business Insider

How AR Will Change Mobile Shopping

People age 18 to 24 spend an average of 94 hours per month on apps, and those age 25 to 34 spend 86 hours. And customers now favor mobile retail apps, which take up 54% of all digital retail time. And yet, just 1% of all transactions take place on mobile, while we still spend $1.1 trillion in stores. In short, mobile time is not relative to mobile purchases. But augmented reality could help change all that.

Source: Here’s how AR can solve digital’s toughest problems – Business Insider

To get a copy of the slide deck, click here.

How AI Will Grow Up

Machines contain the breadth of human knowledge, yet they have the common sense of a newborn. The problem is that computers don’t act enough like toddlers. Yann LeCun, director of artificial intelligence research at Facebook, demonstrates this by standing a pen on the table and then holding his phone in front of it. He performs a sleight of hand, and when he picks the phone up—ta-da! The pen is gone. It’s a trick that’ll elicit a gasp from any one-year-old child, but today’s cutting-edge artificial intelligence software—and most months-old babies—can’t appreciate that the disappearing act isn’t normal. “Before they’re a few months old, you play this trick on them, and they don’t care,” says LeCun, a 54-year-old father of three. “After a few months, they figure out this is not normal.”

Source: The Future of Computers Is the Mind of a Toddler – Bloomberg

AI Is the Future of Google Search

The truth is that even the experts don’t completely understand how neural nets work. But they do work. If you feed enough photos of a platypus into a neural net, it can learn to identify a platypus. If you show it enough computer malware code, it can learn to recognize a virus. If you give it enough raw language—words or phrases that people might type into a search engine—it can learn to understand search queries and help respond to them. In some cases, it can handle queries better than algorithmic rules hand-coded by human engineers. Artificial intelligence is the future of Google Search, and if it’s the future of Google Search, it’s the future of so much more.

Source: AI Is Transforming Google Search. The Rest of the Web Is Next | WIRED

Tech is the End of the Middle Class

At a time when the Trump administration is promising to make America great again by restoring old-school manufacturing jobs, AI researchers aren’t taking him too seriously. They know that these jobs are never coming back, thanks in no small part to their own research, which will eliminate so many other kinds of jobs in the years to come, as well. At Asilomar, they looked at the real US economy, the real reasons for the “hollowing out” of the middle class. The problem isn’t immigration—far from it. The problem isn’t offshoring or taxes or regulation. It’s technology.

Source: The AI Threat Isn’t Skynet. It’s the End of the Middle Class | WIRED

My Starbucks Barista

The launch of My Starbucks Barista comes amid the growing usage and adoption of voice-first devices.

  • Voice usage is growing. In Q1 2016, 55% of US voice assistant users used their assistants regularly (daily or weekly), according to MindMeld. That’s up from 49% of users the previous quarter.

  • Voice-first device shipments are increasing. Shipments of voice-first devices, such as the Amazon Echo and Google Home, will reach 24.5 million units in 2017, according to VoiceLabs’ recent State of the Industry report. That’s up from 6.5 million devices shipped in 2016.

Source: Starbucks unveils voice ordering – Business Insider

See also:  What restaurateurs can learn from Starbuck’s mobile ordering challenges

Facebook AI Is Looking at You

With 1.2 billion people uploading 136,000 photos and updating their status 293,000 times per minute, until recently Facebook could only hope to draw value from a tiny fraction of its unstructured data – information which isn’t easily quantified and put into rows and tables for computer analysis.  

Deep Learning is helping to play a part in changing that. Deep Learning techniques enables machines to learn to classify data by themselves. A simple example is a deep learning image analysis tool which would learn to recognize images which contain cats, without specifically being told what a cat looks like. By analyzing a large number of images, it can learn from the context of the image – what else is likely to be present in an image of a cat? What text or metadata might suggest that an image contains a cat?

Source: How Facebook Uses Data Analytics To Understand Your Posts And Recognize Your Face | Bernard Marr | Pulse | LinkedIn

Make America’s Robots Great Again 

American factories still make a lot of stuff. In 2016, the United States hit a manufacturing record, producing more goods than ever. But you don’t hear much gloating about this because manufacturers made all this stuff without a lot of people. Thanks to automation, we now make 85 percent more goods than we did in 1987, but with only two-thirds the number of workers.

This suggests that while Mr. Trump can browbeat manufacturers into staying in America, he can’t force them to hire many people. Instead, companies will most likely invest in lots and lots of robots.

And there’s another wrinkle to this story: The robots won’t be made in America. They might be made in China.

Source: How to Make America’s Robots Great Again – The New York Times