Artificial Intelligence

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Internet robot investigates human creativity

Internet robot investigates human creativity
Tom White, senior lecturer in Victoria's School of Design, has created Smilevector—a bot that examines images of people, then adds or removes smiles to their faces. "It has examined hundreds of thousands of faces to learn the difference between images, by finding relations and reapplying them," says Mr White. "When the computer finds an image it looks to identify if the person is smiling or not. If there isn't a smile, it adds one, but if there is a smile then it takes it away.
18th November 2016

AI system surfs web to improve its performance

AI system surfs web to improve its performance
Of the vast wealth of information unlocked by the Internet, most is plain text. The data necessary to answer myriad questions — about, say, the correlations between the industrial use of certain chemicals and incidents of disease, or between patterns of news coverage and voter-poll results — may all be online. But extracting it from plain text and organising it for quantitative analysis may be prohibitively time consuming.
14th November 2016

Sensors to monitor bridges enable them to tweet

Sensors to monitor bridges enable them to tweet
While bridge collapses are rare, there have been enough of them to raise concerns in some parts of the world that their condition is not sufficiently monitored. Sweden is taking a hi-tech approach to its aging infrastructure. Researchers from KTH Royal Institute of Technology in Stockholm are rigging up the country’s bridges with multiple sensors that allow early detection of wear and tear. The bridges can even tweet throughout the course of a day.
31st October 2016


Making computers explain themselves

Making computers explain themselves
In recent years, the best-performing systems in artificial-intelligence research have come courtesy of neural networks, which look for patterns in training data that yield useful predictions or classifications. A neural net might, for instance, be trained to recognise certain objects in digital images or to infer the topics of texts. But neural nets are black boxes. After training, a network may be very good at classifying data, but even its creators will have no idea why.
31st October 2016

Automating big-data analysis

Automating big-data analysis
Last year, MIT researchers presented a system that automated a crucial step in big-data analysis: the selection of a “feature set,” or aspects of the data that are useful for making predictions. The researchers entered the system in several data science contests, where it outperformed most of the human competitors and took only hours instead of months to perform its analyses.
21st October 2016

Artificial intelligence to play key role in maritime combat

Artificial intelligence to play key role in maritime combat
  Roke Manor Research (Roke) is due to be the first supplier to integrate Artificial Intelligence (AI) software into a Defence Science and Technology Laboratory (Dstl) sponsored maritime combat system demonstrator. 
17th October 2016

AI appointed to the leadership of data-driven businesses unit

Tieto has appointed Artificial Intelligence as a member of the leadership team of its new data-driven businesses unit. The AI, called Alicia T, is the first AI to be nominated to a leadership team in an OMX-listed company. AI will help the management team to become truly data-driven and will assist the team in seeking innovative ways to pursue the significant opportunities of the data-driven world.
17th October 2016

Can AI promote the well-being of Finnish entrepreneurs?

Can AI promote the well-being of Finnish entrepreneurs?
Tieto’s aim is to make the future more intelligent with data. Now the company is teaming up with Elo Mutual Pension Insurance Company to help entrepreneurs flourish and maintain balance in their working life – with the help of Artificial Intelligence, for example.
27th September 2016

AI cleaning system could save £100m a year

AI cleaning system could save £100m a year
The University of Nottingham is developing an artificially-intelligent sensor system to clean food manufacturing equipment more precisely, which could save £100m a year for the UK industry alone. This revolutionary AI-driven monitoring system could lead to greater production capacity and therefore cheaper food prices for consumers. Food and drink production is the largest manufacturing sector in Britain and the highest industrial user of water at approximately 430 million litres a day.
14th September 2016

Teaching human values to AI

Teaching human values to AI
Two Cornell experts in AI have joined a nationwide team setting out to ensure that when computers are running the world, they will make decisions compatible with human values. "We are in a period in history when we start using these machines to make judgments," said Bart Selman, professor of computer science. "If decisions are properly structured, the horrors we've seen in the movies won't happen."
8th September 2016


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