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SARDO Is a Smartphone-Sniffing Search and Rescue Drone

#artificialintelligence

For anyone who has ever misplaced their iPhone, Apple's "Find My" app is a game-changer that borders on pure magic. Sign into the app, tap a button to sound an alarm on your MIA device, and, within seconds, it'll emit a loud noise -- even if your phone is set on silent mode -- that allows you to go find the missing handset. Yeah, it's usually stuck behind your sofa cushions or left facedown on a shelf somewhere. You can think of SArdo, a new drone project created by researchers at Germany's NEC Laboratories Europe GmbH, as Apple's "Find My" app on steroids. The difference is that, while finding your iPhone is usually just a matter of convenience, the technology developed by NEC investigators could be a literal lifesaver.


The complexity of artificial intelligence

#artificialintelligence

IMAGE: SMU Assistant Professor Sun Qianru says highly diverse training data is critical to ensure the machine sees a wide range of examples and counterexamples that cancel out spurious patterns. SMU Office of Research and Tech Transfer - Artificial Intelligence, or AI, makes us look better in selfies, obediently tells us the weather when we ask Alexa for it, and rolls out self-drive cars. It is the technology that enables machines to learn from experience and perform human-like tasks. As a whole, AI contains many subfields, including natural language processing, computer vision, and deep learning. Most of the time, the specific technology at work is machine learning, which focuses on the development of algorithms that analyses data and makes predictions, and relies heavily on human supervision.


The complexity of artificial intelligence

#artificialintelligence

Artificial Intelligence, or AI, makes us look better in selfies, obediently tells us the weather when we ask Alexa for it, and rolls out self-drive cars. It is the technology that enables machines to learn from experience and perform human-like tasks. As a whole, AI contains many subfields, including natural language processing, computer vision, and deep learning. Most of the time, the specific technology at work is machine learning, which focuses on the development of algorithms that analyzes data and makes predictions, and relies heavily on human supervision. SMU Assistant Professor of Information Systems, Sun Qianru, likens training a small-scale AI model to teaching a young kid to recognize objects in his surroundings.


Apple Is Once Again Eyeing the Smart Car Market

#artificialintelligence

Early in February, rumor had it that Apple is once again eyeing the smart car market, both electric and self-driving. Improved batteries and new environment regulations might make smart cars a promising new business area. According to USA Today, the "iCar" is certain to be an electric vehicle costing over $40,000. But a self-driving car could introduce a "longer timeframe" in part due to Apple CEO Tim Cook's cautious approach to unveiling new products, Ives said. Automakers and tech companies have yet to solve the thorniest challenges associated with autonomous driving.


iOS 14.5 won't actually let you change a default music service

Engadget

It turns out that Apple's iOS 14.5 update won't actually let you change your default music service that you use with Siri. Beta users had originally noticed that it appeared as if early versions of the update might allow you to change the default service that launches when you ask Siri to play a song. This meant that rather than specifying a third-party music app with each request, Siri would remember your preference and launch with the service you had originally specified. While all that still seems to be the case, TechCrunch reports that Apple has apparently "clarified" that it "doesn't consider this feature the equivalent to'setting a default.'" That's because the feature relies on "Siri intelligence," which can track your music-listening habits over time and predict which app you're more likely to want at that moment.


Learning Machine Learning -- Week 0

#artificialintelligence

We use machine learning when simple code will not work, but how do we exactly define problems in this field? We have defined the types of algorithms and now we'll define the types of models that these algorithms have. The types of problem that need supervised learning are: - Classification: "Is this a thing or another one?". We have data and we have to classify it into categories with predetermined labels. When the classification is between 2 options it's called binary classification, when is between more than 2 options it's called multi-class classification.


AI/ML - Residency Program, Health AI at Apple

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Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Combining groundbreaking machine learning techniques with next-generation hardware, our teams take user experiences to the next level. Apple's AI/ML residency is a year long program inviting experts in various fields to apply their own domain expertise to build revolutionary machine learning and AI empowered products and experiences. The residency will begin with several weeks of coursework focused on machine learning and deep learning, followed by a project with one of our global machine learning teams.


Council Post: Four Ways AI And Machine Learning Will Drive Future Innovation And Change

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CTO & MD at AX Semantics, the SaaS-based, Natural Language Generation Platform that creates any content, in any language, at any scale. The pandemic brought on economic, logistical and technological challenges on a massive global scale, leaving businesses scrambling to adapt. Amidst the upheaval, businesses turned to video conferencing platforms like Zoom and Google Meet to stay connected. Technologies like artificial intelligence (AI) and machine learning (ML) helped augment human efforts to take on everything from health to cybersecurity. Equally, businesses looked toward strategic execution and technology to remain agile among industry shifts and provide a greater return on investments.


Apple On A Buying Spree, Banking On AI Startups

#artificialintelligence

For many years now, we are witnessing a tectonic shift in how technology is being used to revolutionise major sectors around the world. One of the most prominent keywords that keep popping up now and then is the'artificial intelligence revolution.' Tech giants such as Google, Microsoft, Facebook, Apple, etc., have shown deep interest in not just adopting AI but also acquiring AI startups, which has become the new normal. Apple is winning the race with the'You Start, I Purchase' mindset. The number of acquisitions it has made, without much pomp and shows over a short span of three to four years, is remarkable. Nevertheless, it is a win-win situation for both Apple as well as the startups. "Apple buys a new company every two or three weeks."


Automotive Manufacturing and Advanced Artificial Intelligence

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Over the last several weeks, there have been a couple of major announcements from two of the world's largest automotive brands that show how IoT can help them avoid recalls and warranty claims. After conducting several years of its own research and testing, the first came from GM, who announced that it recalls six million vehicles in the U.S. after the National Highway Traffic Safety Administration denied its recall appeal, saying the carmaker had not established the recall was unnecessary. The most recent came from Ford, which announced it took steps to rein in rising warranty costs. Part of the new plan to offset these costs involves the company charging suppliers upfront for half of the cost of warranty-related issues. Second, it's the damage to the OEMs' brands when massive recalls or spikes in warranty claims occur.