Ecopia is creating the first HD Map of Waterloo Region. Today, drivers use maps for way-finding and to generally orientate themselves with their surroundings, but as the task of driving shifts from the in-car driver to in-vehicle automation, the role of digital maps shifts significantly. These next generation maps for machines come in the form of a highly accurate and realistic representation of the road, generally referred to as high-definition (HD) maps. The base layers of the Waterloo Region HDMap, created by Ecopia's Global Feature Extraction services, offers a highly accurate and highly attributed representation of the road, including attributes such as lane model, traffic signs, road furniture and lane geometry, as autonomous vehicles need very different maps from those that are currently used in today's navigation systems. HDMaps of Waterloo Region will be available to SMEs and academia on a platform hosted and developed by Ecopia.
Facial recognition technology is used across China for everything from identifying criminals to measuring students' attention in class. Now, it has debuted a system in its subway that lets you use your face as a ticket. A report from South China Morning Post suggests the subway system in the southern city of Shenzhen has started using facial recognition technology to let folks over 60 years of age register themselves for free subway rides. Other cities such as Jinan, Shanghai, Qingdao, Nanjing, and Nanning are currently experimenting with this system. The technology in Shenzen has been deployed to 18 stations with 28 automatic gate machines and 60 self-service ticket processors.
Is there anything today that can't possibly be done by Artificial Intelligence? From self-driving cars, 3D printing, sex robots that can breathe, and many other AI innovations, AI can do just about everything. To that end, researchers from Pennsylvania healthcare provider, Geisinger have trained an AI to predict which patients are at risk of dying within a course of a year, reports New Scientist. SEE ALSO: Chrome's New Feature Uses AI To Describe Images For Blind And Low-Vision Users Artificial Intelligence can reportedly determine when a person will die based on their heart test results, even if these results look normal to doctors. Dr. Brandon Fornwalt at the healthcare provider, Geisinger, trained the AI with examining 1.77 million electrocardiogram (ECG) results from almost 400,000 people to predict patterns that signal towards future cardiac issues.
Bottom line: Machine learning makes it possible to discover patterns in supply chain management data by relying on algorithms that quickly pinpoint the most influential factors to a supply networks' success, while constantly learning in the process. Discovering new patterns in supply chain data has the potential to revolutionize any business. Machine learning algorithms are finding these new patterns in supply chain data daily, without needing manual intervention or the definition of taxonomy to guide the analysis. The algorithms iteratively query data with many using constraint-based modeling to find the core set of factors with the greatest predictive accuracy. Key factors influencing inventory levels, supplier quality, demand forecasting, procure-to-pay, order-to-cash, production planning, transportation management and more are becoming known for the first time.
Several companies are pushing the boundaries of what is possible. Hardware is becoming ever more sophisticated, reducing weight, improving flight times and bringing down prices. Last month DJI launched the Mavic Mini, a tiny 249-gram drone with a range of 4km that can shoot 2.7K video and fly for 30 minutes on a single battery. A feat of engineering and a measure of how far things have come in the last decade. October also saw the launch of another industry benchmark: Skydio's new drone, the Skydio 2. It's lighter, cheaper and more sophisticated than the original R1 – which is saying something.
Try zeroing in on an orange. While the human brain may correctly identify the images, a machine might mistake them for a missile or jaguar, says Chaz Firestone, assistant professor in the Department of Psychological and Brain Sciences. Those mistakes might seem comical at face value, but could prove deadly if a self-driving car doesn't recognize a person in its path, for example. Or when we begin relying more on automated radiology to screen for anomalies like tumors or tissue damage. "Most of the time, research in our field [of artificial intelligence] is about getting computers to think like people," says Firestone.
"There is but one truly serious question in philosophy, and that is suicide," wrote Albert Camus in The Myth of Sisyphus. This is equally true for a human navigating an absurd existence and an artificial intelligence navigating a morally insoluble situation. As AI-powered vehicles take the road, questions about their behavior are inevitable -- and the escalation to matters of life or death equally so. This curiosity often takes the form of asking whom the car should steer for should it have no choice but to hit one of a variety of innocent bystanders. There are a number of reasons this question is a silly one, yet at the same time a deeply important one.
Machine learning & Artificial Intelligence Top Training center in Bangalore ML & AI Coaching Center in Bangalore Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. The field of Artificial Intelligence (ai systems) encompasses computer science, natural language processing, math, psychology, neuroscience, data science, machine learning and many other disciplines.
Artificial Intelligence and Machine Learning have empowered our lives to a large extent. The number of advancements made in this space has revolutionized our society and continue making society a better place to live in. In terms of perception, both Artificial Intelligence and Machine Learning are often used in the same context which leads to confusion. AI is the concept in which machine makes smart decisions whereas Machine Learning is a sub-field of AI which makes decisions while learning patterns from the input data. In this blog, we would dissect each term and understand how Artificial Intelligence and Machine Learning are related to each other.
Recently, students on the Peiyangyuan Campus of Tianjin University (TJU) caught their first glimpse of a little blue and white self-driving car moving leisurely around the campus. If students blocked its way, it would automatically slow down and brake. Actually, the driverless vehicle is being used for express delivery and was recently put into use in mid-October. Despite its budding appearance, it is the latest product from Alibaba's Cainiao E.T. Logistics Laboratory, which holds the leading edge in international autopilot capability. The Cainiao unmanned vehicle is moving on the Peiyangyuan Campus of Tianjin University.