James Kobielus

Contributor

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

GDPR may well kill enterprise blockchain databases

How AI can help solve the ‘fake news’ problem

How AI can help solve the ‘fake news’ problem

AI's role in the “fake news” phenomenon is very exaggerated, but AI can help address the misinformation manipulation now so prevalent

Big data analytics: The cloud-fueled shift now under way

Big data analytics: The cloud-fueled shift now under way

Public clouds are the future of enterprise big data analytics, and their use is creating the unified platform needed to fully gain its value

What is deep reinforcement learning: The next step in AI and deep learning

What is deep reinforcement learning: The next step in AI and deep learning

Reinforcement learning is well-suited for autonomous decision-making where supervised learning or unsupervised learning techniques alone can’t do the job

Generative AI: The new power tool for creative pros

Generative AI: The new power tool for creative pros

Generative AI will drive the next generation of apps for autoprogramming, content development, visual arts, and other creative, design, and engineering activities

Even data scientists are facing AI takeover

Even data scientists are facing AI takeover

As euphemisms fly for AI replacing human activity, data scientists start to experience the benefits and risks of AI-assisted automation

How to prevent the hacked AI apocalypse

How to prevent the hacked AI apocalypse

Adversarial attacks can undermine AI systems, sidelining their intelligence and hijacking them for evil. But there are emerging techniques to block such attacks

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

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