The Case for Continuous Intelligence
It’s time to move beyond simple streaming analytic applications to truly cognitive applications that incorporate the latest in machine learning and deep learning.
It’s time to move beyond simple streaming analytic applications to truly cognitive applications that incorporate the latest in machine learning and deep learning.
Nervana is designed to be a ‘purpose-built architecture for deep learning’ that frees it from the limitations of traditional computing chips.
O'Reilly AI Conference news roundup: TensorFlow support, deep learning, and AI training data were some notable announcements.
At the core of the BenevolentTech platform is the new NVIDIA DGX-1 AI supercomputer, which leverages the power of GPUs and specialized deep learning software to help make artificial intelligence faster.
Researchers are using AI and other deep learning methods to create an algorithm that’s capable of detecting DR with an accuracy rate of 94 percent
The deal was made to bring deep learning to Microsoft products such as SwiftKey and Cortana.
Distributed training addresses compute scarcity in AI by distributing workloads across multiple devices, enabling efficient scaling, faster training, and cost-effective resource management.
Organizations need to start strategizing now on how to leverage next-generation intelligent content automation platforms. These platforms are emerging as the most effective way to infuse intelligence into documents, automate critical business processes, and make document discovery as intuitive and responsive as the concept of “sentience” implies.
In this week's real-time analytics news: MLCommons released the results of its latest benchmark tests.
By recognizing the limitations of machine learning and implementing smart models strategically, organizations can harness the full potential of AI in price optimization.