If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
The Trifo Ironpie has a built-in camera. Security researchers revealed Wedneday that vulnerabilities in the device could let hackers access the video stream remotely, among other things. The Trifo Ironpie robot vacuum is designed to do double duty. The fans on the swiveling disc hoover your house, while the camera mounted on it acts as an ankle-high securitydevice. The idea is to stay tidy while staying safe.
AI is proliferating in every major marketing cloud in nearly every marketing point solution, but most organizations are still experimenting with it. There are many use cases for AI that span every role in marketing from advertising to social, web, content, analytics and more. How you apply AI to marketing should reflect how you do your marketing. If you do a lot of outbound email, there are AI engines to enhance list selection and segmentation, subject lines and dynamic content. If you do a lot of social, there are AI engines to analyze sentiment, identify influencers, and post content.
'Causal ML' is a Python package that deals with uplift modeling, which estimates heterogeneous treatment effect (HTE) and causal inference methods with the help of machine learning (ML) algorithms based on research. It uses a standard interface that allows users to estimate the Conditional Average Treatment Effect (CATE) or Individual Treatment Effect (ITE) from data (experimental or observational). 'Casual ML' package provides eight cutting edge uplift modeling algorithms combining causal inference & ML. 'Essentially, it estimates the causal impact of intervention T on outcome Y for users with observed features X, without strong assumptions on the model form'. As mentioned earlier, the package deals with uplift modeling, which estimates heterogeneous treatment effect (HTE), therefore starting with general causal inference, then learning about HTE and uplift modeling would definitely help.
Artificial intelligence-powered technologies are increasingly being used to help contain the novel coronavirus outbreak in China, with several tech companies tweaking their facial recognition algorithms to identify people who are wearing masks. Enterprises that use facial recognition for access control and attendance system needed to make the tweaks as traditional algorithms may not be sufficient for recognition. For, masks used by the employees often cover some features of the face. Beijing-based tech company Hanwang Technology Co Ltd has upgraded its core algorithm and introduced a new facial recognition system for those who wear masks. Huang Lei, vice-president of the company, said Hanwang Tech took just a month to develop the upgraded version.
Car companies have been feverishly working to improve the technologies behind self-driving cars. But so far even the most high-tech vehicles still fail when it comes to safely navigating in rain and snow. This is because these weather conditions wreak havoc on the most common approaches for sensing, which usually involve either lidar sensors or cameras. In the snow, for example, cameras can no longer recognize lane markings and traffic signs, while the lasers of lidar sensors malfunction when there's, say, stuff flying down from the sky. MIT researchers have recently been wondering whether an entirely different approach might work.
So I've reading a lot about AI and the responsibility it involves. We hear a lot about the potential for AI to help people and society, but also a lot of potential for harm. I think it's because we're starting to see some of the ramifications of these systems that we're putting out in the real world. Hollywood movies and science fiction novels show AI as human-like robots that take over the world, the current evolution of AI technologies isn't that scary – or quite that smart. Instead, AI has evolved to provide many specific benefits in every industry.
The use of artificial intelligence is now the norm in many industries, from integrating the technology in autonomous vehicles for safety, to AI algorithms being used to improve advertising campaigns. But, by using it in healthcare, could it also help us predict the outbreak of a virus such as the COVID-19 coronavirus? Since the first cases were seen at the end of December 2019, coronavirus has spread from Wuhan, China, to 34 countries around the world, with more than 80,000 cases recorded. A hospital was built in 10 days to provide the 1,000 beds needed for those who had fallen victim to the virus in Wuhan – 97 per cent of cases reported are in China. The World Health Organisation (WHO) has said the world should prepare for a global coronavirus pandemic.
Now entering at least its fifth decade, the practice of data warehousing seems stronger than ever. New, cloud-based solutions are shaking things up, while traditional players continue to innovate in a wide range of ways. Check out this episode of QueryThis to find out! Key discussion points will include automation, documentation and the inevitable march of machine learning and artificial intelligence. Eric has nearly 30 years of experience as a career journalist with a keen focus on enterprise technologies.
Online learning is boosting the average UK pay packet by £3,640, or £2 per hour, according to a new study. Britons are turning to the internet to learn new skills which is in turn boosting the UK's economic output, according to the poll of 20,000 of the country's citizens. The Google-backed survey indicates that many working people have used internet-based learning to increase their pay or to get a new job. Work-related online learning that makes use of search engines, video and social media could not only benefit staff but employers' productivity and economic heft. The report concludes that the more you learn the more you earn as people's hunger for knowledge and self-improvement is directly impacting salaries and professional progression'What we found is really encouraging – not just for the businesses and organisations that are benefiting from upskilling employees, but in terms of the economy as a whole,' said Polly Mackenzie, chief executive of Demos, which carried out the survey.
Facial recognition software provider Clearview AI has revealed that its entire client list was stolen by someone who'gained unauthorized access' to company documents and data. According to a notice sent to its customers, Cleaview AI said that in addition to its client list, the intruder had gained access to the number of user accounts associated with each client, as well as the number of searches conducted through those accounts. The company didn't specify how the security breach had occurred nor who might have been responsible, and it claimed its servers and internal network hadn't been compromised. Facial recognition software company Clearview AI has revealed a security breach that exposed it's client list and number of searches those clients made'Unfortunately, data breaches are part of life in the 21st century,' Clearview attorney Tor Ekeland told The Daily Beast, who broke the story. 'Our servers were never accessed.