
Data, AI, & Machine Learning
How to Build Good AI Solutions When Data Is Scarce
Data-efficient AI techniques are emerging — and that means you don’t always need large volumes of labeled data to train AI systems based on neural networks.
Data-efficient AI techniques are emerging — and that means you don’t always need large volumes of labeled data to train AI systems based on neural networks.
Across the vast range of real-world usage scenarios, there have been far more instances of augmentation of human work by smart machines than of full automation. That scenario is expected to continue for the foreseeable future.
The country’s investment in hi-tech health startups hits fever pitch.
It’s time to replace traditional, rule-based approaches to cybersecurity with “smarter” technology and training.
To engineer successful digital transformation with AI, companies must embrace a new approach to the responsible use of technology.