By Rob High, IBM IDC predicts that by 2018, half of all consumers will interact with services based on cognitive computing on a regular basis. IBM's Watson business, which is based in New York City, is opening a Watson hub in San Francisco. This will enable us to more closely collaborate with [...]
Anyone who has cracked open a computer science textbook can tell you that the field is chock full of complex, and often imposing, terminology. But among all of the opaque terms for algorithms and statistical methods, there are a handful with clever names that even non-specialists can appreciate. We were reminded of this recently when...
A team of US researchers has built an energy-friendly chip that can perform powerful artificial intelligence (AI) tasks, enabling future mobile devices to implement "neural networks" modelled on the human brain.
This is important and relevant. Its impact will be felt way outside of ICT and transactions that rely on TRUST. Introduction Key to the Network Society under construction is that everything in the value chains that do not (or only now and then) add any recognizable value will be kicked out of the chain or…
The dark side of machine learning: human teaching! Attempt to engage millennials with artificial intelligence backfires hours after launch, with TayTweets account citing Hitler and supporting Donald Trump
IDC says the Internet of Things (IoT) market will be $1.7 trillion by 2020. Moor Insights & Strategy (MI&S) believes Machine learning will drive a portion of this revenue. Machine learning is the ability of a machine to vary the outcome of a situation or behavior based on knowledge or observation--essential for IoT solutions. And MI&S believes there are 2 kinds of machine learning worth understanding.
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