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) …
Machine learning is crucial to the next industrial revolution. As equipment and supply chains join the Industrial IoT (IIoT), the flood of data can overwhelm already-busy human supervisors--creating an urgent need for self-regulating automation. Each generating facility contains a complex, interdependent ecosystem of equipment and infrastructure. Collectively, these systems generate enormous amounts of data--up to 1.5TB per day. These staggering volumes of data exceed human capabilities but fit neatly into the wheelhouse of machine learning.
Some of the biggest players in the industry have already started to embrace disruptive and cutting-edge technologies, but this year we will see smaller and medium sized manufacturers incorporating the same technologies into their processes with equally as effective results. The entire industry is on the brink of an upheaval parallel to the industrial revolutions it has experienced throughout history – those that centered around technologies like steam-powered machinery and the linear assembly machine. The pending industrial revolution will be underpinned by a range of technologies that have already begun to pervade their way across the sector, such as 3D printing and artificial intelligence, and will continue to do so in 2018. See also: Combatting the manufacturing industry's skills gap Perhaps the most important technological shift we will see across the manufacturing industry in 2018 is the increasing adoption of genuine artificial intelligence by manufacturers of varied size across the sector. There is a distinction to be made between the ostensible ai (colloquially known as'lowercase' ai) that we have seen dominating the press throughout 2017, and the genuine AI (known as'uppercase' AI) that will be rolled out across the sector this year.
The internet of things (IoT) and industrial internet of things (IIoT) will breakout in 2018, with organizations ramping up deployments and incorporating IoT technologies into their products, processes and workflows. Research firm Gartner predicts there will be nearly 20 billion devices connected to the IoT by 2020, and IoT product and service suppliers will generate more than $300 billion in revenue. We spoke with a number of IT leaders and industry experts about what to expect from IoT deployments in the coming year. Following are six IoT trends to watch in 2018. Scott Gnau, CTO of Hortonworks, predicts 2018 will be the year of consumer IoT.
The next technology revolution is underway. Advances in artificial intelligence (AI) and machine learning coupled with more robust and competent devices is driving transformation across industries and workstreams, from small farms in India to huge corporations in the United States. So what kinds of changes are underway and what does AI-enabled Internet of Things (IoT) offer businesses across industries? For a full discussion on this, I'd suggest attending the upcoming IoT in Action event in San Francisco on February 13 (more on that later). For this article, we'll look to Microsoft's Chief Storyteller, Steve Clayton, who touches on some key areas.
When it comes to robocars, new LIDAR products were the story of CES 2018. Far more companies showed off LIDAR products than can succeed, with a surprising variety of approaches. CES is now the 5th largest car show, with almost the entire north hall devoted to cars. In coming articles I will look at other sensors, software teams and non-car aspects of CES, but let's begin with the LIDARs. When it comes to robocar LIDAR, the pioneer was certainly Velodyne, who largely owned the market for close to a decade.
The Apple Watch can help users stay active, track their health data and can boost workouts with the watchOS 4 update. Apple launched the Apple Watch Series 3 and the watchOS 4 update in September 2015. The Series 3 is priced at $329 for the standard Wi-Fi version and $399 for the LTE cellular model. The wearable device includes a dual-core processor, a faster Siri, a heart rate sensor and is about the same size as the Series 2. While Apple doesn't sell the Series 2 anymore, the company still sells the original Apple Watch for $249. The original Apple Watch also supports watchOS 4. The Workout app is also another feature that can boost users' exercise sessions.
The firm's chief executive says his hands-on approach has paid off so far, but he's not ready for a victory lap just yet The secret to rekindling Sony's return to form, according to the company's chief executive, is personalisation – achieved not by the mass collection of customer data in the way some big tech firms do, but by eliciting an emotional response to its products. "Getting in close is the only way," says Kaz Hirai, who took the helm of Sony five-and-half-years ago charged with turning the company around; he has succeeded, with Sony projecting its largest-ever annual operating profit of £4.2bn this year. Hirai is a passionate believer in the Japanese concept of Kando, which is about establishing an emotional connection across what Sony calls "the last one inch" to the consumer – the wow factor that creates enthusiasm and loyalty. "My father and grandfather were Sony fanatics," he says. "When I was about five years old, my father recorded my voice on his open reel tape deck and played it back.
The research also shows that artificial intelligence can not only provide new insights to help reduce wear-and-tear injuries, it can also help to boost the productivity of skilled construction workers. These findings come from research conducted at the University of Waterloo, Canada, and they are important given the extent of injuries recorded each year for construction workers. The research specifically focuses on bricklaying.. Here the researchers examined several studies which looked at how motion sensors and artificial intelligence software can help to improve the techniques of bricklayers. Some of the methods were previously unidentified, even for the most experience construction workers.
Inundated with more data than humans can analyze, the U.S. military and intelligence community are banking on machine learning and advanced computing technologies to separate the wheat from the chaff. The Defense Department operates more than 11,000 drones that collect hundreds of thousands of hours of video footage every year. "When it comes to intelligence, surveillance and reconnaissance, or ISR, we have more platforms and sensors than at any time in Department of Defense history," said Air Force Lt. Gen. John N.T. "Jack" Shanahan, director for defense intelligence (warfighter support) in the office of the undersecretary of defense for intelligence. "It's an avalanche of data that we are not capable of fully exploiting," he said at a technology conference in Washington, D.C., hosted by Nvidia, a Santa Clara, California-based artificial intelligence computing company. For example, the Pentagon has deployed a wide-area motion imagery sensor that can look at an entire city.
For the past decade, the easiest way to spot a self-driving car was to look for the distinctive spinning bucket mounted to its roof. The classic lidar design pioneered by Velodyne spins 64 lasers through 360 degrees, producing a three-dimensional view of the car's surroundings from the reflected laser beams. That complicated and bulky set-up has traditionally also been expensive. Velodyne's US $75,000 lidar famously cost several times the sticker price of the Toyota Priuses that formed the nucleus of Google's original self-driving car fleet. Those days are long gone.