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) …
As connected devices become prevalent in our homes and workplaces, the technology to create and support a connected car ecosystem becomes ever more advanced. In fact, according to one forecast, there will be more than 380 million connected cars on the road by 2021, which, if correct, would fundamentally change the way we all live, work and drive. With the connected car having been identified as the fastest-growing technological device after the smartphone and tablet, we can only begin to imagine the range of capabilities we can come to expect in the space over the coming decade. However, what we can be sure of is that when connected cars become a regular feature in our garages and on our roads, the experience of driving and being driven for the next generation of car users is going to be a very different one to what we're used to now. Although there are numerous perceived benefits for car companies in terms of data acquisition, targeted marketing, and a range of new personalised in-car apps, products and services to offer customers, what exactly are the direct benefits to drivers and passengers in this connected automotive future?
It isn't too unusual for surveys to contain open-ended questions: respondents would be free to enter their comments in any manner. More on an operational basis, not surveys but rather client systems might hold such comments; and not the respondents themselves but customer service agents would be responsible for entering the information. These same agents would likely classify the nature of the exchange or comments maybe using drop-down menu choices, radials, and check-boxes. One approach to deal with the comments is to use tools to interpret the text and compile the distribution of keywords and keyword combinations. Assuming resources are available, if there are many thousands of comments each day and the nature of the comments are already known in advance, perhaps the most viable approach to study the input is to use algorithms.
This is the Udacity's Self-Driving Car Engineer Nanodegree Program final project for the 1st Term. To write a software pipeline to identify vehicles in a video from a front-facing camera on a car. In my implementation, I used a Deep Learning approach to image recognition. Specifically, I leveraged the extraordinary power of Convolutional Neural Networks (CNNs) to recognize images. However, the task at hand is not just to detect a vehicle's presence, but rather to point to its location.
There is a critically important dialogue going on across the extended global automotive industry about the future evolution of transportation and mobility. This debate is driven by the convergence of a series of industry-changing forces and mega-trends (see figure 1). Innovative technologies are changing how companies develop and build vehicles. Electric and fuel-cell powertrains tend to offer greater propulsion for lower energy investment at lower emission levels.1 New, lightweight materials enable automakers to reduce vehicle weight without sacrificing passenger safety.2 Further breakthroughs are advancing the introduction of autonomous vehicles; increasingly, daily news reports suggest that driverless cars will soon become a commercial reality.3
Riding in a self-driving car involves a certain level of risk taking, especially in these very early days of the technology. Recognizing the need to build trust among normal people, Waymo, the self-driving unit of Google-parent Alphabet, announced it would be partnering with an insurance startup to cover riders in its soon-to-be-released driverless ride-hailing service. Trov, a five-year-old insurance tech startup based in Danville, Calif., said it would work with Waymo to insure passengers for lost and damaged property and trip-related medical expenses. In other words, if your driverless Waymo is involved in a fender bender -- or, god forbid, something worse -- your robot-induced whiplash treatment will be covered. Importantly, passengers won't have to pay for the coverage, nor will they know that Trov is the insurer.
The Renault-Nissan alliance is in the process of hiring a core team of at least 300 technology experts, with expertise in software and cloud engineering, data analytics, machine learning and systems architecture, for its newly-created Connected Vehicle and Mobility Services group. The global auto industry prepares to enter in the technological innovation. Thus, automotive players' investment such as The Renault-Nissan Alliance in digital automotive innovation are intended to be established. As they are launching at competition with some non – automotive firms such: Apple, Uber, Google … and some technology startups which is also initiating in this field, They launch in the technology experts' engagement around 300, for their new project in digital automotive. So, this give to all job seekers an opportunity to join their dynamic and innovative team to make a change in the numeric automotive's world image.
There is no shortage of attention lately on the "Internet of Things". As a case in point, see the "Developing Innovation and Growing the Internet of Things Act" or "DIGIT Act", i.e., S. 2607, a bill introduced in the Senate on March 1, 2016 and amended on September 28, 2016, "to ensure appropriate spectrum planning and inter-agency coordination to support the Internet of Things" – A companion bill, H.R. 5117, was introduced in the House of Representatives on April 28, 2016. However, since there is no "internet" dedicated to "things", it is fair to state that the Internet of Things does not exist as such. We are left with a definitional vacuum, but it is hammering the obvious to acknowledge that there is no dearth of attempts around the world to fill the gap. Perhaps as a helpful shortcut, we could view the expression as a metaphor that captures the arrival of almost anything and everything, until now out of scope, into the communications space.
TROY, MI – The future of mobility will be data driven, says Glen De Vos, chief technical officer of Aptiv, and the former Delphi electronics unit wants to be the engine behind the transformation. "It is a big change for us," De Vos says of Aptiv's new role in the industry as chiefly a software company after decades of supplying automakers with components and parts hardware now considered low-margin commodities. De Vos would be happy to keep selling the hardware, too, and the Gillingham, U.K.-based company likely will for many years to come, but it will take a back seat to the software its customers need to raise the connectivity, improve the safety and reduce the unfavorable environmental impact of the vehicles they make. The supplier officially launched Dec. 5 with Kevin Clark, president and CEO of Aptiv, saying the company has an opportunity to play a large role in an industry transformation underpinned by the promise of autonomous vehicles. "Aptiv is built on a strong foundation of industry firsts and has the knowledge, capability and agility to win with traditional OEM customers and emerging mobility players," Clark says of the former Delphi Automotive.
The companies also announced plans for a field test with public participation. The public field test will take place in the Minatomirai district of Yokohama, Kanagawa Prefecture, Japan from March 5, 2018, to March 18, 2018. Nissan and DeNA started collaborating to develop a new mobility service that uses autonomous driving technology in January 2017. The two companies aim to combine the Nissan Intelligent Mobility vision, through technological assets in autonomous driving, vehicle electrification and connected cars, with DeNA's experience in developing and operating driverless mobility services using its expertise in the internet and artificial intelligence. Nissan Global YouTube Channel: The Nissan worldwide channel is our virtual showroom, showcasing our newest models, heritage vehicles, NISMO sports news and tech advancements.
Over the last few years, many people--myself included--have been touting the Internet of Things (IoT) as a driving force behind digital transformation. But is IoT by itself truly that transformational? Well, I would argue that it is not. IoT focuses mainly on securely connecting devices that generate data. It is a key element of disruption and change, but it needs to partner with other technologies such as artificial intelligence (AI), blockchain and fog computing to create billions--some say trillions--of dollars in value and transform industries.