James Kobielus
Contributor
James Kobielus is SiliconAngle Wikibon's lead analyst for AI, data science, and application development.
Open source transparency comes to root of trust hardware
Contrary to conventional wisdom, an open source approach like Google’s OpenTitan could ensure that roots of trust stay trustworthy
Handicapping the AI modeling horse race
AI has become a core focus for application developers everywhere. It’s as hot in the consumer space as it is in business, industry, research, and government
Will data gravity favor the cloud or the edge?
An industry standard confidential computing framework could unlock secure data processing at both the center and the edge
The data lake is becoming the new data warehouse
Platforms like AWS Lake Formation and Delta Lake point toward a central hub for decision support and AI-driven decision automation
Knative may be the serverless computing standard you need
The proliferation of serverless platforms has raised a very real specter of siloes and lockin for early adopters
Key enterprise cloud trends for 2019
As businesses modernize their computing and networking architectures, cloud-native architectures are the principal target environments
Reinforcement learning comes into AI’s mainstream
Developers now have the tools to get started with this revolutionary technology that is poised to become mainstream
How the Turing GPU will revolutionize immersive AI
AI, machine learning, and image manipulation have a lot in common, so it’s no surprise that GPUs can do both, which will bring us amazingly immersive apps
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
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