In the world of science and technology, it is being said that we are at the beginning of the Fourth Industrial Revolution. The first that lasted from 1760 to 1840 brought in the age of mechanized production. It was the result of new materials like iron and steel,which combined with new energy resources of coal and steam, led to'mass production', and a factory system with division of labour. The second industrial revolution from 1870 to the early part of 20th century was the result of electricity, and the internal combustion engine. Both powered industrial machines and made transport possible.
A few years ago, the idea of controlling your lights or even security system remotely through your smartphone would have been deemed so futuristic and only present in the minds of science fiction novelists. Artificial intelligence might conjure images of the latest Sci-fi movie that you recently watched, yet in actual sense, its actual impact in our everyday life is more understated and far-reaching than the science fiction movies and novels might actually suggest. Most of us have encountered AI in our everyday lives. Think about Netflix suggesting to you are a TV to watch. Google maps are already sourcing location data from our smartphone and aiding us with directions.
Here, we are just going to focus on the statistics related to Data Science -- see what I've done there? Machine Learning libraries like Tensorflow or scikit-learn hide almost all the complex mathematics away from the user. That means that we don't need to be experts in maths, but it's definitely a necessity to have a basic understanding of the fundamental principles; it will help us utilise these libraries better. Let's start with part 1 …
Peggy Smedley dives into the topic of cognitive technologies and how they impact the IoT (Internet of Things). She discusses recent research from Deloitte, which shows roughly 76% of respondents say they expect cognitive technologies to transform their companies in just three years or less, and she explains the business value of cognitive technologies goes beyond cutting costs. Finally, she wraps up with her tip of the week and how to rethink cognitive opportunities for the next 12 months.
In 1714, the British Parliament passed the Longitude Act, which offered serious money to anyone who could devise a practical method to measure longitude at sea. While the determination of longitude might seem a trivial thing in today's world of smartphones and GPS satellites, at the time it was an immense technical challenge. It took many years, but the strategy worked, leading to the development of the marine chronometer, a handheld mechanical marvel that undoubtedly saved the lives of countless sailors. Prizes have, of course, since been used to spur innovation in many other spheres. "These were typically offered by governments," says Josh Lerner of the Harvard Business School, who has studied the effectiveness of such prizes.
Machine learning, used within Learning Analytics, gives us new insights into education processes. Modern AI can predict student behavior and by doing so improve the entire education landscape. In November, with a successful review meeting, we finished our latest Horizon 2020 research and innovation project ENVISAGE that kept our attention for the last two years. The idea behind the project was to use machine learning, developed for digital games, to make the educational processes in schools and universities more efficient for students and teachers. The education landscape is changing.
NIH-funded researchers have created an electrocardiogram-analyzing deep neural network that showed comparable outcomes to cardiologists' interpretations in a study. The network correctly classified a range of distinct arrhythmias, leading the researchers to talk up the prospect of it being used to better triage patients. However, the network is yet to be validated in clinical settings and could suffer from problems including false positives unless it is tailored. Computers have come to play a central role in the interpretation of EKGs since they were introduced into the field decades ago. Many of the more than 300 million EKGs captured globally every year are automatically analyzed.
In the childhood, You have to face the study related problems during your learning phase. I also faced these problems. But due to the AI in education has changed the entire education industry. It has improved the student education through computing and smart devices. It has become more beneficial to the students that are unable to go physically to the classroom.
If you work in tech, you've heard about artificial intelligence: how it's going to replace us, whether it's over-hyped or not and which nations will leverage it to prevent, or instigate, war. Our editorial bent is more clear-cut: How much money is going into startups? Who is putting that money in? So let's talk about the state of AI startups and how much capital is being raised. Here's what I can tell you: funding totals for AI startups are growing year-over-year; I just don't know precisely how quickly.