IBM Watson – Cloud Based Cognitive Computing Software System

IBM’s Watson is a unique cognitive software system – programmed software combined with natural language processing, dynamic learning and hypothesis generation and evaluation. It thinks and learns like a human but, far faster and on a vast scale.

Watson is programmed software combined with natural language processing, dynamic learning and hypothesis generation and evaluation. It was developed in IBM’s Research labs.

It is now a Cloud computing platform enabling new consumer and enterprise apps delivered on smart phones, tablets and PCs to tap into its power. IBM has already made available 13 different Watson APIs that can be used to create cloud services.

Using natural language processing and analytics, Watson processes information similarly to how people think and can understand unstructured data.

It’s a tool sorely needed by knowledge workers who must now cope with a world where 90% of the world’s data was created in the last two years alone.

IBM has announced the purchase of AlchemyAPI intending to integrate AlchemyAPI’s deep learning technology into the core Watson platform enhancing Watson’s ability with deep learning enabling it to identify patterns and relationships within large data sets.

New capabilities will also be added including new types of text and visual recognition and the ability to automatically detect, label and extract important details from image data.

Discover what exciting applications IBM’s Watson is being used for including:

Oncology
Interpreting medical data
Discovering and evaluating medications
Analysing business data
Cyber threat defence.
Online e-mail services
Authoring a new cookbook!

Deep Learning – World Changing, Disruptive, Artificial Intelligence

Deep Learning is a software imitation of the neocortex’s layers of neurons – the thinking part of the brain. It allows a computer to discover patterns contained in digital data just like the human brain identifies patterns in the world around it

Exponential advances will allow deep learning to handle significant intellectual activities within 5 years. Health, the law and education are just a few of the vast array of human enterprises that will benefit.

Some recent applications of deep learning include:

– The “Google Brain” identifying a cat simply by watched 10 million YouTube videos
– Microsoft Research’s Project Adam integration into Cortana for vastly improved image interpretation
– Facebook’s 97.25% accurate face matching deep learning software
– Google’s “neural image caption generator” (NIC) designed to produce captions for images without human input
– Netflix’s application of deep learning to improve video recommendations
– DeepMind’s Neural Turing Machine learns to play video games by playing each game many times.
– Skype’s real time translator
– Enlitic’s use of deep learning to process medical images, test results and patient histories and deliver more accurate and comprehensive diagnostic assessments

Some 80% of employment opportunities in developed economies will be affected by software systems based on deep learning principals leading to social disruption if governments don’t plan the re-shaping of economies as change occurs.

Eventually these developments will lead to significant productivity benefits delivering reduced working hours and an improved quality of life.