Artificial Intelligence
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Could gamification get workers to actually use AI?
Artificial intelligence has become more common in our personal lives, but what about in the workplace?
Bossies 2018: The Best of Open Source Software Awards
InfoWorld recognizes the leading open source projects for software development, cloud computing, big data, and machine learning
Deep Dive
Machine learning megaguide: Amazon, Microsoft, Databricks, Google, HPE, IBM
Download InfoWorld's massive roundup of Amazon, Microsoft, Databricks, Google, HPE, and IBM machine learning toolkits
The best open source software for machine learning
InfoWorld’s 2018 Best of Open Source Software Award winners in machine learning and deep learning
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
Review: Keras sails through deep learning
Keras sequential models make deep neural network modeling about as simple as it can be
10 machine learning APIs developers will love
Tap the readymade machine learning models behind these cloud-based APIs to add a stroke of genius to your app
video
CIO Leadership Live with Cathie Kozik, CIO at PSAV | Ep 13
In this episode, host Maryfran Johnson talks with Cathie Kozik, senior vice president and CIO at PSAV, an events space provider, about aligning tech projects to business goals, tapping into employees for innovative ideas and using...
How artificial intelligence is reshaping the insurance industry
Artificial intelligence is changing the world of insurance, improving underwriting and accessibility while making it more affordable for consumers. In the future, it may be able to make insurance obsolete
What is CUDA? Parallel programming for GPUs
You can accelerate deep learning and other compute-intensive apps by taking advantage of CUDA and the parallel processing power of GPUs
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
When data becomes a service
The need for data to fuel effective artificial intelligence solutions and how to collect it via model-as-a service and insights-as-a service
Why there are no shortcuts to machine learning
As long as companies understand that good data science takes time in an enterprise, and give these people room to learn and grow, they won’t need shortcuts
Data is the lifeblood of AI, but how do you collect it?
AI and lots of good data go hand in hand, but it can be a challenge for companies to aggregate it
Artificial intelligence will close the gap on latency in telecommunications
Artificial intelligence is turning out to be the answer to most of our technological problems
video
Tech Talk: Machine learning and AI deciphered
Breaking through the hype around machine learning and artificial intelligence, our panel of Ken Mingis, Michael Simon and Serdar Yegulalp talk through the definitions and implications of the technology.
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
PyTorch review: A deep learning framework built for speed
PyTorch 1.0 shines for rapid prototyping with dynamic neural networks, auto-differentiation, deep Python integration, and strong support for GPUs
Modern artificial intelligence: algorithms through analytics
The silicon-based algorithms that accelerate the next generation of AI happening now are powerful. But what is the strategy for quality assurance of this technology?
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