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Envisioning A Data-Enabled, $2 Trillion Automotive Ecosystem Before Autonomy Is Real

#artificialintelligence

The automotive ecosystem is an almost $2T marketplace which consists of a large number of integrated markets. Beyond the automotive OEMs, these include rental companies, auto financing, auto insurance, gas stations (energy), media (radio, billboard in particular), maintenance services, public sector infrastructure, and even emergency services. Autonomous capability has been touted as the disruptive change agent by the media and investors alike. However, autonomy has proven to be very difficult at a technological level. As "Measurable Safety, The Missing Ingredient To Demonstrating ADAS Value" discusses, even ADAS, the simpler poor cousin to advanced mobility systems, is not ready for prime time.


Michigan driver arrested after pulling 'Dukes of Hazzard' stunt over Detroit bridge

FOX News

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. A Michigan man was arrested Wednesday night after apparently jumping a Detroit drawbridge in "Dukes of Hazzard" fashion, according to multiple reports. The Allen Park driver, 26, was behind the wheel of a Dodge sedan when he accelerated and attempted to cross the Fort Street bascule bridge around 7 p.m. on Wednesday -- as it was rising. "I looked, I said, 'No he ain't,'" drawbridge operator Andre Locke told Detroit's WDIV-TV.


Tesla driver, 20, charged after found asleep at wheel of self-driving car traveling over 90 mph: cops

FOX News

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. A Canadian man has been charged after he was found asleep at the wheel of a self-driving Tesla traveling over 93 mph down a highway in the province of Alberta, authorities said on Thursday. The July 9 incident occurred after authorities received a complaint that a Model S Tesla was speeding on a highway near the town of Ponoka, located about 60 miles south of Edmonton, according to a release by Alberta Royal Canadian Mounted police (RCMP). "The car appeared to be self-driving, traveling over 140km/h, with both front seats completely reclined and both occupants appearing to be asleep," the RCMP said in a statement.


Future of AI Part 2

#artificialintelligence

This part of the series looks at the future of AI with much of the focus in the period after 2025. The leading AI researcher, Geoff Hinton, stated that it is very hard to predict what advances AI will bring beyond five years, noting that exponential progress makes the uncertainty too great. This article will therefore consider both the opportunities as well as the challenges that we will face along the way across different sectors of the economy. It is not intended to be exhaustive. AI deals with the area of developing computing systems which are capable of performing tasks that humans are very good at, for example recognising objects, recognising and making sense of speech, and decision making in a constrained environment. Some of the classical approaches to AI include (non-exhaustive list) Search algorithms such as Breath-First, Depth-First, Iterative Deepening Search, A* algorithm, and the field of Logic including Predicate Calculus and Propositional Calculus. Local Search approaches were also developed for example Simulated Annealing, Hill Climbing (see also Greedy), Beam Search and Genetic Algorithms (see below). Machine Learning is defined as the field of AI that applies statistical methods to enable computer systems to learn from the data towards an end goal. The term was introduced by Arthur Samuel in 1959. A non-exhaustive list of examples of techniques include Linear Regression, Logistic Regression, K-Means, k-Nearest Neighbour (kNN), Naive Bayes, Support Vector Machine (SVM), Decision Trees, Random Forests, XG Boost, Light Gradient Boosting Machine (LightGBM), CatBoost. Deep Learning refers to the field of Neural Networks with several hidden layers. Such a neural network is often referred to as a deep neural network. Neural Networks are biologically inspired networks that extract abstract features from the data in a hierarchical fashion.


Artificial Intelligence: Empowering Futuristic Automotive Vehicles

#artificialintelligence

Artificial Intelligence (AI) helps the vehicle to take decision in complex environment. AI is utilized in automobiles industry for smart mobility. At present, automotive industry has employed advanced driver assistance system (ADAS) and with increase amount of embedded intelligent the industry is progressing towards semi-autonomous vehicle. AI enables real-time recognition of surroundings and automates the vehicle mobility, controls in-vehicle systems, and eventually prevents accident. The various applications of AI in automobile sector is road tracking, capturing driver's gesture and expression, passenger experience, fleet management, weather monitoring, predictive maintenance, location search, E-payment and in-vehicle system control.


Artificial Intelligence: Empowering Futuristic Automotive Vehicles · Wall Street Call

#artificialintelligence

Artificial Intelligence (AI) helps the vehicle to take decision in complex environment. AI is utilized in automobiles industry for smart mobility. At present, automotive industry has employed advanced driver assistance system (ADAS) and with increase amount of embedded intelligent the industry is progressing towards semi-autonomous vehicle. AI enables real-time recognition of surroundings and automates the vehicle mobility, controls in-vehicle systems, and eventually prevents accident. The various applications of AI in automobile sector is road tracking, capturing driver's gesture and expression, passenger experience, fleet management, weather monitoring, predictive maintenance, location search, E-payment and in-vehicle system control.


AI Is Making Our Lives Better In Weird And Wonderful Ways, Here's How

#artificialintelligence

When some people hear the term'artificial intelligence' their initial reaction is to imagine a dystopian future where robots have risen up and overthrown humanity. The truth is, application of AI technology in our day-to-day lives is a lot less sinister. It might not be long before these technologies become common in our everyday lives. It's currently assisting with medical diagnosis, the creation of autonomous cars and to help improve businesses by analysing data and creating accurate forecasts of client or market behaviour. The application of AI is becoming more and more popular in businesses worldwide, with the potential to improve our lives in unexpected ways.


Etihad Using Artificial Intelligence to Cut Food Waste and Costs

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Etihad Airways is to resume trials of a special food waste detection system that utilises artificial intelligence to track unconsumed Economy class meals across Etihad's flights. After the COVID-19 pandemic stopped the trial in its tracks earlier this year, the airline has once again restarted the programme in collaboration with Singapore startup Lumitics. According to the food technology company, Etihad should expect to start seeing results within the first few months of operation. Already in use by several airlines, including Singapore Airlines, the system uses a combination of image recognition and AI to differentiate and identify the types and quantity of unconsumed meals based on the design of the meal foils. While many airlines already have some sort of system in place to identify and count food waste, these processes are normally slow and labour intensive.


Walmart partners with Zipline for glider drone delivery tests

Engadget

Walmart has had drone delivery ambitions for years now, and today they've announced a partnership with Zipline for on-demand delivery of "health and wellness" products. Zipline drones aren't the quadcopters that most think of for these types of delivery services. Instead, they're gliders that have longer range and won't just drop out of the sky if something fails. Trial deliveries using Zipline's drones will take place near Walmart headquarters in northwest Arkansas with a plan to start early next year. Walmart says that the Zipline drones will be able to operate within a 50-mile radius, and they produce no carbon emissions.


Paper folding tasks can reduce nausea by more than half, study finds

Daily Mail - Science & tech

Carrying out regular'pen-and-paper' exercises can reduce nausea during travel by more than 50 per cent, UK scientists claim. Cognitive training tasks, including identifying how patterns would appear on transparent paper when folded, help'train the brain' to reduce feelings of nausea in-transit, they say. Motion sickness, which creates a sensation of wooziness, can occur during car travel, at sea or even while using a virtual reality headset. But it's also an issue for passengers in self-driving cars, who are free to read, watch films and play video games thanks to the autonomous technology. Engaging in tasks before a journey was found to be effective at reducing motion sickness for passengers in both a driving simulator and on-the-road experiments, the experts found.