James Kobielus
Contributor
James Kobielus is SiliconAngle Wikibon's lead analyst for AI, data science, and application development.
How to solve AI’s reproducibility crisis
Society will never fully trust artificial intelligence’s actions unless they can be shown to produce reasonably repeatable results in line with what their developers claim
Why gaming AI won’t help make AI work in the real world—but could
The underlying game-theory principles could be applied to the real world, only if the test cases reflected the real world, not artificial fantasy environments
Powering AI: The explosion of new AI hardware accelerators
Specialized hardware platforms are the future of artificial intelligence, machine learning, and deep learning at every tier and for every task in the cloud-to-edge world in which we will live
Sorry, but blockchain databases are just not that secure
Premature, untested software, criminal infiltration, multiple technology variations, and lack of experience are just some reasons to distrust distributed hyperledgers in your business
The fiction of ‘digital wellness’—and the truth of digital dependence
Let’s not be so quick to stigmatize healthy digital adoption by calling it addiction
GDPR may well kill enterprise blockchain databases
The secure ledger technology sounds like a godsend for all sorts of databases—until you examine how GDPR’s PII management gets in the way
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
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
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 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
As euphemisms fly for AI replacing human activity, data scientists start to experience the benefits and risks of AI-assisted automation
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