The Internet-of-Things provides us with lots of sensor data. However, the data by themselves do not provide value unless we can turn them into actionable, contextualized information. Big data and data visualization techniques allow us to gain new insights by batch-processing and off-line analysis. Real-time sensor data analysis and decision-making is often done manually but to make it scalable, it is preferably automated. Artificial Intelligence provides us the framework and tools to go beyond trivial real-time decision and automation use cases for IoT.
Cloud.diet is a fully mobile compatible online diet program that systematically changes itself based on your own particular lifestyle, always improving its prescribed plan based on what is working for you and other dieters. We like to think of it as a living, breathing diet that is constantly evolving based on real life data and research. Continue reading “Machine learning applied in diet system (Video)”
Massachusetts General Hospital is buying into deep learning artificial intelligence, and it will use Nvidia’s new DGX-1 deep-learning supercomputer.
Nvidia is partnering with the MGH Clinical Data Science Center, which wants to advance health care with AI to improve the detection, diagnosis, treatment, and management of diseases. Continue reading “Artificial Intelligence to Be Used for Improving Hospital Care”
Martin Vesper, CEO, digitalSTROM AG, will speak about “The invisible butler can only be good if it learns from you. Why machine learning is so important for a great user experience in a smart home” during the Internet of Things Event, which will take place on June 07-07, 2016, at High Tech Campus Eindhoven, The Netherlands.
Robots are already becoming widely established in German factories. But how can companies be sure to split the work between people and robots such that human workers don’t lose out on the desirable tasks? An event marking the start of the AQUIAS project showcased approaches to guaranteeing quality of work for manufacturing employees, including those with severe disabilities. Continue reading “Fraunhofer IAO drafts scenarios for future human-robot collaboration (Video)”
Many of us harbor a love hate relationship with email. We hate its Sisyphean tedium, but we love to stay on top of our world and our work objectives. Ultimately, many of us end becoming up a slave to our own inboxes. The question now then is… given the increasing sophistication seen in machine learning and Artificial Intelligence (AI), could intelligent automation answer our emails for us? Continue reading “Could intelligent automation answer our emails for us?”
Many experts believe that the development and incorporation of internet-connected sensors – constituting the Internet of Things (IoT) – will optimize the production, consumption and maintenance of all types of existing products and services. But the IoT, in conjunction with so-called artificial or augmented intelligence (AI), creates an emergent and convergent industry of “data-facturing”, forced by data analytics intermediaries, which will lead to a complete overhaul of global production and its economics. Continue reading “‘Data-Facturing’ in the IoT to lead to a complete overhaul of global production and its economics”
Google’s chairman thinks artificial intelligence will let scientists solve some of the world’s “hard problems,” like population growth, climate change, human development, and education.
Rapid development in the field of AI means the technology can help scientists understand the links between cause and effect by sifting through vast quantities of information, said Eric Schmidt, executive chairman of Alphabet Inc., the holding company that owns Google. Continue reading “Will Artificial Intelligence let scientists solve some of the world’s “hard problems”?”
After a half-decade of quiet breakthroughs in artificial intelligence, 2015 has been a landmark year. Computers are smarter and learning faster than ever.
The pace of advancement in AI is “actually speeding up,” said Jeff Dean, a senior fellow at Google. To celebrate their achievements and plot the year ahead, Dean and many of the other top minds in AI are convening in Montreal this week at the Neural Information Processing Systems conference. Continue reading “Computers are “starting to open their eyes” – 2015, a breakthrough year in Artificial Intelligence”
We’ve been thinking about the Internet of Things all wrong.
- Big data analytics for IOT software revenues will experience strong growth, reaching $81 billion by 2022 says Strategy Analytics
- Smart Cities will use 1.6 billion connected things in 2016 says Gartner
- By 2025 IOT will be a $1.6 trillion opportunity in Healthcare alone says McKinsey
- 50 billion+ connected devices will exist by 2020 says Cisco
- Data captured by IOT connected devices will top 1.6 zettabytes in 2020 says ABI Research
Numbers. Numbers. Numbers. Continue reading “We’ve been thinking about the Internet of Things all wrong: AI and IoT are inseparable”