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Google’s AI Can Now Translate Between Languages It Wasn’t Taught to Translate Between (Jess Vilvestre)

Neural networks are machines and algorithms developed to behave like the  human brain—but a development from Google Translate shows that (once again) AI can outperform humans in a big way. Google’s AI can now translate language pairs it has not been trained for. To be clear, this means that it can translate between languages that it wasn’t taught to translate. This works if the AI first translates both of the languages into a common language that it knows…

Source: Google’s AI Can Now Translate Between Languages It Wasn’t Taught to Translate Between

Defining our Relationship with early AI (Andrew Heikkila)

“I’ve seen things you people wouldn’t believe. Attack ships on fire off the shoulder of Orion. I watched C-beams glitter in the dark near the Tannhäuser Gate. All those moments will be lost in time, like tears…in…rain. Time to die.” — Roy Batty, Blade Runner

Artificial intelligence has fascinated mankind for more than half a century, with the first public mention of computer intelligence recorded during a London lecture by Alan Turing in 1947. More recently, the public has been exposed to headlines that have increasingly contained references to the growing power of AI, whether that’s been AlphaGo’s defeat of legendary Go player Lee Se-dol, Microsoft’s racist AI bot named Tay or any other number of new developments in the machine learning field. Once a plot device for science-fiction tales, AI is becoming real — and human beings are going to have to define their relationship with it sooner rather than later.

Source: Defining our relationship with early AI | TechCrunch

Google AI invents its own cryptographic algorithm; no one knows how it works (Sebastian Anthony)

Google Brain has created two artificial intelligences that evolved their own cryptographic algorithm to protect their messages from a third AI, which was trying to evolve its own method to crack the AI-generated crypto. The study was a success: the first two AIs learnt how to communicate securely from scratch.

The Google Brain team (which is based out in Mountain View and is separate from Deep Mind in London) started with three fairly vanilla neural networks called Alice, Bob, and Eve. Each neural network was given a very specific goal…

Source: Google AI invents its own cryptographic algorithm; no one knows how it works | Ars Technica UK

I like this thought: “Automation is Making Us Dumber…and That’s a Good Thing” (Ben Noble)

“What a strange practice it is…that a man should sit down to his breakfast table and, instead of conversing with his wife, and children, hold before his face a sort of screen on which is inscribed a world-wide gossip.”

If I attributed the above quote to my dad, if I said he was talking about smart phones, you’d believe me. And if your dad is anything like mine, he’s probably said similar things too…just maybe less like an old-timey newsman. And what’s more, the quote actually sounds like something hisdad might have said , except his dad would have been talking about the TV, not iPads (and actually would have sounded more like an old-timey newsman)…

Source: Automation is Making Us Dumber

The combination of Human and Artificial Intelligence will define Humanity’s future (Bryan Johnson)

Through the past few decades of summer blockbuster movies and Silicon Valley products, artificial intelligence (AI) has become increasingly familiar and sexy, and imbued with a perversely dystopian allure.

What’s talked about less, and has also been dwarfed in attention and resources, is human intelligence (HI).

In its varied forms — from the mysterious brains of octopuses and the swarm-minds of ants to Go-playing deep learning machines and driverless-car autopilots — intelligence is the most powerful and precious resource in existence. Our own minds are the most familiar examples of a phenomenon characterized by a great deal of diversity…

Source: The combination of human and artificial intelligence will define humanity’s future | TechCrunch

Great Piece on where we might be heading with AI: Is Artificial Intelligence Permanently Inscrutable? (Aaron M. Bornstein)

Dimitry Malioutov can’t say much about what he built.

As a research scientist at IBM, Malioutov spends part of his time building machine learning systems that solve difficult problems faced by IBM’s corporate clients. One such program was meant for a large insurance corporation. It was a challenging assignment, requiring a sophisticated algorithm. When it came time to describe the results to his client, though, there was a wrinkle. “We couldn’t explain the model to them because they didn’t have the training in machine learning.”

In fact, it may not have helped even if they were machine learning experts. That’s because the model was an artificial neural network, a program that takes in a given type of data—in this case, the insurance company’s customer records—and finds patterns in them. These networks have been in practical use for over half a century, but lately they’ve seen a resurgence, powering breakthroughs in everything from speech recognition and language translation to Go-playing robots and self-driving cars…

Source: Human and Artificial Intelligence May Be Equally Impossible to Understand

Why voice is the catalyst for compatibility (Linden Tibbets)

“Do you think Mom & Dad would like an Amazon Alexa, or maybe a new Google Home?” This is a question a lot of people will ask this holiday season. Whether your folks have the patience of an early adopter or the low tolerance of the late majority, it doesn’t matter. If they don’t have one now, they will soon.

The early promise that Alexa delivers on (and the massive investments that Amazon, Google, Apple, and every other big consumer tech company is making in voice) guarantees that conversational interfaces will become an important and valuable part of how we all control our world…

Source: Why voice is the catalyst for compatibility – Startup Grind – Medium

Elon Musk says the future of AI is in linking it to our brains (Adario Strange)

Following the accidental explosion at SpaceX on Sept. 1, company founder Elon Musk has been relatively quiet. But an interview posted this week gives us more insight into his thoughts on one of his favorite topics: artificial intelligence.

And while he’s become known in recent years for being outspoken on the dangers of AI and, to some, painting science fiction-level scenarios that may not be viable for some time, in this talk he offers a different scenario regarding the Singularity.

Source: Elon Musk says the future of AI is in linking it to our brains

An Exclusive Look at How AI and Machine Learning Work at Apple (Steven Levy)

The iBrain is here — and it’s already inside your phone…

On July 30, 2014, Siri had a brain transplant. Three years earlier, Apple had been the first major tech company to integrate a smart assistant into its operating system. Siri was the company’s adaptation of a standalone app it had purchased, along with the team that created it, in 2010. Initial reviews were ecstatic, but over the next few months and years, users became impatient with its shortcomings. All too often, it erroneously interpreted commands. Tweaks wouldn’t fix it…

Source: An Exclusive Look at How AI and Machine Learning Work at Apple – Backchannel

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