Group items tagged

Over the past two years, McKinsey has studied more than 50 early adopters to garner insights into successful efforts to use Web 2.0 as a way of unlocking participation.

Video from a series of events at British Council looking at 'How we learn' this video is one session where Sam Conniff looks at the difference in the world of learning and education. He talks about the 'sharing economy' bring the largest growing market in the works and then changes technology is having on what we teach in schools worldwide, including the fact that 70% of all on-one content is video, making the creation of content closer to the user. Highlighting the top things people learning on-line using the search 'how to...' Play in instrument, learn a language and write code.Sam also explores the notion of 'Learning how to learn', 'being connected to the internet everywhere', & 'transparency' and how these will change Education & how we will need to interact in a more ethical way (26:40 - 43:00) 

Lisa Minogue-White from Willow shares their experience of creating Corporate Moocs and explores the ideas behind opening up learning, allow for the user to learn complex subjects together via a learning framework.This presentation is part of a series from the recent 'Learning Technologies' event in London. Debbie Lawley from Willow ill be joining us at the Autumn workshop to share more ideas on how to create these Learning pathways in your own organisations. 

A computer program has beaten the world champion of one of civilisation's oldest board games for the first time in history.  Lee Se-dol, a 33-year-old South Korean, resigned the first of five matches of the fiendishly complex strategy game against the AlphaGo program, which is built by the Google-owned British company DeepMind.

It's not humans who are the recipients and decision makers of data and analysis, it's machines. Machines are making all or most of the decisions in areas like programmatic advertising, search engine optimization, credit approval, insurance underwriting, Internet of Things applications, and many more.

A quick trip through time to examine the origins of machine learning as well as the most recent milestones.

It was hailed as the most significant test of machine intelligence since Deep Blue defeated Garry Kasparov in chess nearly 20 years ago. Google's AlphaGo has won two of the first three games against grandmaster Lee Sedol in a Go tournament, showing the dramatic extent to which AI has improved over the years. That fateful day when machines finally become smarter than humans has never appeared closer-yet we seem no closer in grasping the implications of this epochal event.

The average piece of user-generated content (UGC) is awful. It's actually way worse than you think. It can be rife with misspellings, vulgarity or flat-out wrong information. But by identifying the best and worst UGC, machine-learning models can filter out the bad and bubble up the good without needing a real person to tag each piece of content.

The value of bots for the enterprise user is only just becoming clear. Enterprise bots will likely be used to augment intelligence in the context of conversations, push relevant information to employees, and optimize workflows.

Get to know the terminology ahead of the KIN Blockchain Masterclass on the 3rd July 2018.

Google believes that artificial intelligence (A.I.) virtual assistants (VA) and the conversational user interface (CUI) will largely supplant search engines and mobile apps for many users. We're moving into an "A.I.-first world," according to Google CEO Sundar Pichai.

"IBM and Danish transport and logistics company Maersk announced Jan. 16 that they are teaming up to create an as-yet-unnamed Blockchain-based shipping and supply chain company. The goal of the venture is to commercialize Blockchain for all aspects of the global supply chain system, from shipping to ports, and banks to customs offices."

Camden propose to use AR to build augmented reality 'culture routes'."

The conversation around AI now is too focused on the question of how AI can replace agent interaction, which is missing the point. The aim of AI shouldn't be to replace human interaction, but to improve human interaction.

Use of machine learning and physical modelling for adaptive vehicle control. Data-driven decision making.

AI is (currently) very good at specialist/single tasks that require brute force computational effort or training algorithms, but we are a long way from developing generalised AI, that requires some form of unsupervised deep learning. There are many things that humans understand but are well beyond the reach of AI, and this will remain the case for many years to come - if it ever happens.

Artificial intelligence algorithms are increasingly influential in peoples' lives, but their inner workings are often opaque. We examine why, and explore what's being done about it.

Growing concerns about how artificial intelligence (AI) makes decisions has inspired U.S. researchers to make computers explain their "thinking."