How do you decide when to use expert systems or machine learning AI to automate your document processing? Find out here.
Artificial intelligence may outperform humans in 45 years although AI today is highly constrained and applied in its actual smarts. What happens between now and tomorrow?
All indications are artificial intelligence (AI) will transform our future in significant ways. Today, AI already automates many activities that were typically relegated to humans, but how exactly did we get here?
Why can’t capture and recognition software read fields that a person can read and how does it read what we find hard to read? The answer: neural nets.
The debate rages on loss of high-paying jobs due to globalization, automation and unfair trade practices, but where do the myths end and reality begin?
Discover and collect the gold behind every successful artificial intelligence: what ground truth data means and its critical importance.
An exploration into what separates real progress from mere hype in how artificial intelligence is leveraged in today’s world and what it means to you.
Explore three interesting articles and websites addressing the latest Artificial Intelligence (AI) developments that may be useful to you.
How deep learning offers one of the most promising frontiers of AI applied across many fields ranging from image recognition, data extraction to security.
Opening the black box of machine-learning-based AI explores concerns about AI systems impacting our daily lives and how we determine if an AI made the right or wrong decision.
Computers: let’s train them like we train our dogs. Machine learning lets us train our software to complete the most mundane organizational and data entry tasks.
If machine learning is real, then why don’t we all use artificial intelligence? The hype surrounding AI and machine learning may be justified, but what needs to be further explored is the level of effort necessary to train a machine or software so that it’s actually useful.