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Machine Learning's Crumbling Foundations

#artificialintelligence

Technological debt is insidious, a kind of socio-infrastructural subprime crisis that's unfolding around us in slow motion. Our digital infrastructure is built atop layers and layers and layers of code that's insecure due to a combination of bad practices and bad frameworks.


CES 2067: Welcome to the future

#artificialintelligence

All the media drones fly early, at once, at the bell. Get lots of comfy gel around our eyes and ears to make sure we can stay looped in for a good long time. Fifty years ago, people wondered if journalists, or "professional" media, would still exist. It does, now, but it's sometimes indistinguishable from its homegrown social media counterpart. Even more filter bubbles, because no one really wants to be truly alone.


IBM Watson: Not So Elementary

#artificialintelligence

It's now a hired gun for thousands of companies in at least 20 industries. David Kenny took the helm of IBM's Watson Group ibm in February, after Big Blue acquired The Weather Company, where Kenny had served as CEO. In the months since then, the Watson business has grown dramatically, with well over 100,000 developers worldwide now working with more than three dozen Watson application program interfaces (APIs). Fortune Deputy Editor Clifton Leaf caught up with Kenny in mid-October, when IBM Watson's General Manager was in San Francisco, getting ready to open Watson West--the AI system's newest business outpost--and to launch the company's second World of Watson conference, a gathering of its burgeoning ecosystem of partners and users, in Las Vegas on Oct. 24. KENNY: Deep learning is a subset of machine learning, which essentially is a set of algorithms. Deep-learning uses more advanced things like convolutional neural networks, which basically means you can look at things more deeply into more layers. Machine learning could work, for example, when it came to reading text.