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 companies racing to deploy autonomous cars on the world's roads took a reality check in the 2010s, but multimillion-dollar development efforts remain ongoing across the automotive and tech industries. German supplier Bosch is notably moving full speed ahead with its quest to make driverless cars a reality. Kay Stepper, Bosch's senior vice president of automated driving, sat down with Digital Trends to talk about the state of autonomous driving in 2020, and what's next for the artificial intelligence technology that powers the prototypes it's testing. Bosch has never made a car, so it brings its innovations to the market through partnerships with automakers. It chose Mercedes-Benz parent company Daimler to test autonomous technology in real-world conditions via a ridesharing pilot program in San Jose, California, close to one of the company's research centers.
NAIROBI (Thomson Reuters Foundation) - Countries are rapidly developing "killer robots" - machines with artificial intelligence (AI) that independently kill - but are moving at a snail's pace on agreeing global rules over their use in future wars, warn technology and human rights experts. From drones and missiles to tanks and submarines, semi-autonomous weapons systems have been used for decades to eliminate targets in modern day warfare - but they all have human supervision. Nations such as the United States, Russia and Israel are now investing in developing lethal autonomous weapons systems (LAWS) which can identify, target, and kill a person all on their own - but to date there are no international laws governing their use. "Some kind of human control is necessary ... Only humans can make context-specific judgements of distinction, proportionality and precautions in combat," said Peter Maurer, President of the International Committee of the Red Cross (ICRC).
The European Commission is considering a temporary ban on the use of facial recognition technology, according to a draft proposal for regulating artificial intelligence obtained by Euroactiv. Creating rules to ensure AI is'trustworthy and human' has been an early flagship policy promise of the new Commission, led by president Ursula von der Leyen. But the leaked proposal suggests the EU's executive body is in fact leaning towards tweaks of existing rules and sector/app specific risk-assessments and requirements, rather than anything as firm as blanket sectoral requirements or bans. The leaked Commission white paper floats the idea of a three-to-five-year period in which the use of facial recognition technology could be prohibited in public places -- to give EU lawmakers time to devise ways to assess and manage risks around the use of the technology, such as to people's privacy rights or the risk of discriminatory impacts from biased algorithms. "This would safeguard the rights of individuals, in particular against any possible abuse of the technology," the Commission writes, adding that: "It would be necessary to foresee some exceptions, notably for activities in the context of research and development and for security purposes."
Over the past few months, I've been working on a fascinating project with one of the world's largest pharmaceutical companies to apply SAS Viya computer vision to help identify potential quality issues on the production line as part of the validated inspection process. As I know the application of these types of AI and ML techniques are of real interest to many high-tech manufacturing organisations as part of their Manufacturing 4.0 initiatives, I thought I'd take the to opportunity to share my experiences with a wide audience, so I hope you enjoy this blog post. For obvious reasons, I can't share specifics of the organisation or product, so please don't ask me to. But I hope you find this article interesting and informative, and if you would like to know more about the techniques then please feel free to contact me. Quality inspections are a key part of the manufacturing process, and while many of these inspections can be automated using a range of techniques, tests and measurements, some issues are still best identified by the human eye.
Using a pre-trained model that is trained on huge datasets like ImageNet, COCO, etc. we can quickly specialize these architectures to work for our unique dataset. This process is termed as transfer learning. Pre-trained models for image classification and object detection tasks are usually trained on fixed input image sizes. These typically range from 224x224x3 to somewhere around 512x512x3 and mostly have an aspect ratio of 1 i.e. the width and height of the image are equal. If they are not equal then the images are resized to be of equal height and width.
A Brain-Computer Interface (BCI) is a system that extracts and translates the brain activity patterns of a subject (humans or animals) into messages or commands for an interactive application. The brain activity patterns are signals obtained with Electroencephalography (EEG). The concept of controlling devices solely with our minds is nothing new. Science fiction and Hollywood movies have been known to depict this. Several studies and experiments have been conducted, such as monkeys controlling robotic arms to feed itself, controlling a wheelchair and controlling cursors to type about eight words per minute.
The new decade opened with some intriguing news: The journal Nature reported that artificial intelligence was better at identifying breast cancers on mammograms than radiologists. Researchers at Google Health teamed up with academic medical centers in the United States and Britain to train an AI system using tens of thousands of mammograms. But even the best artificial intelligence system can't fix the uncertainties of early cancer diagnosis. To understand why, it helps to have a sense of how AI systems learn. In this case, the system was trained with images labeled as either "cancer" or "not cancer."
Warner Bros has signed a deal with an artificial intelligence company to help it with movie releases. The studio has confirmed it will be using a'revolutionary new AI-driven project management system', launched last year by Cynelytic, a Los Angeles-based AI and cloud tech company. The platform provides forecasting and financial modelling information, predicting box office revenues of potential movie projects. It also has the potential to assist in working out the value of certain stars, and also in scheduling when a movie should be released. According to Business Wire, 'the platform reduces executives' time spent on low-value, repetitive tasks and instead focuses on generating actionable insights for packaging, green-lighting, marketing and distribution decisions in real time'.