James Kobielus

Contributor

James Kobielus is SiliconAngle Wikibon's lead analyst for AI, data science, and application development.

How to prevent the hacked AI apocalypse

Data is eating the software that is eating the world

Data is eating the software that is eating the world

The data-driven machine learning algorithms that power AI will not only upend programming, but lower the barriers to AI itself

How to write event-driven IoT microservices that don’t break

How to write event-driven IoT microservices that don’t break

Today’s IoT environments are a potential rat’s nest of asynchronous craziness just waiting to happen

6 predictions for the future of deep learning

6 predictions for the future of deep learning

The potential of deep learning seems boundless, but developers are still figuring out how to put it to work. These near-term trends will help move it along

'Transfer learning' jump-starts new AI projects

'Transfer learning' jump-starts new AI projects

Machine learning, once implemented, tends to be specific to the data and requirements of the task at hand. Transfer learning is the act of abstracting and reusing those smarts

How cognitive computing will touch your life in 2017

How cognitive computing will touch your life in 2017

Cognitive computing has already affected your life, but expect your encounters with machine intelligence to be more frequent and profound

Deep learning is already altering your reality

Deep learning is already altering your reality

If we’re living in an algorithmic bubble, we should know how it’s bending and coloring whatever rays of light we’re able to glimpse through it

Data science predicts election winner!

Data science predicts election winner!

Statistical predictions are fragile flowers. They can inspire confidence, but often only under specific, ephemeral circumstances

Know when your big data is telling big lies

Know when your big data is telling big lies

Data scientists face an existential dilemma every single day: How do you distinguish signal from noisy illusion?

IoT's big challenge: Managing billions of devices

IoT's big challenge: Managing billions of devices

IoT will soon permeate every aspect of our lives -- the very definition of sprawl. How will we derive meaningful analytics from the endless IoT fabric?

Advancing the art of the cognitive chatbot

Advancing the art of the cognitive chatbot

Frameworks are just beginning to emerge for a microservices approach to intelligent personal assistants

How to monetize the fuzzy narratives of social listening

How to monetize the fuzzy narratives of social listening

Social media present at best a skewed portrait of how people truly feel or are likely to behave under various circumstances

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