Depending upon whom you ask, the nascent field of cognitive computing is either the most important trend in technology since programmable computers, a massively intrusive spying tool that can lay bare ...
Imagine a world where a machine creates a "virtual you" by modeling how you think and your expertise on a subject. Or one where your car's computer appreciates your driving skills and compensates for ...
Rapid advances across the field of artificial intelligence have resulted in computers more capable of processing information as humans or animals do, allowing the machines to learn, adapt and decide ...
Cognitive computing. Artificial intelligence. Machine learning. All of these are concepts aim to make human types of problems computable, whether it be a self-driving car, a health care-providing ...
“AI” may be a hot buzzword – and a global market expected to grow to nearly $310 billion by 2026 – but what exactly does artificial intelligence mean? The definition of AI can be a willowy one to pin ...
When IBM’s Watson supercomputer won Jeopardy in 2011, cognitive computing exploded onto the public scene as a very possible — if not slightly unnerving — reality. The industry has been interested in ...
In some ways, mobile, digital, and cognitive computing are becoming substitutes for another word -- modern. The modern consumer's mindset has been dramatically shaped by the power and pace of mobile ...
In production machine learning systems, the model itself is only a small part of the implementation. The "scaffolding" required to run machine learning models, also called machine learning operations ...
The arrival of artificial intelligence and its ilk — cognitive computing, deep machine learning — has felt like a vague distant future state for so long that it’s tempting to think it's still decades ...
We’re at the dawn of the cognitive era, where the implementation of machine-learning tech is making everything from the traveler experience to back-end logistics smarter and more streamlined.
IBM has formed a cognitive systems unit under its hardware umbrella in a long-term move that aims to speed up Watson training time with integrated systems that'll produce insights almost in real-time.
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