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) …
AI powered Robotics has firmly established its reigns in the workplace, and many businesses have benefited from this rapidly evolving technology. The tedious, repetitive tasks which includes data entry and scheduling have now been streamlined. According to economic forecast company Oxford Economics (OE), by 2030, robots will displace 20 million manufacturing jobs worldwide. The 20 million number represents 8.5% of the global manufacturing workforce. Telemarketers will be replaced by robots who would receive automated phone calls which are highly routine, repetitive, and predictable.
Two years ago, MIT launched the Task Force on the Work of the Future, an "institute-wide" effort to study the evolution of jobs during what the college characterizes as an "age of innovation." The faculty and student research team of more than 20 members, as well as an external advisory board, published its latest brief today, focusing on the development of autonomous vehicles. It suggests fully driverless systems will take at least a decade to deploy over large areas and that expansion will happen region-by-region in specific transportation categories, resulting in variations in availability across the country. Truly autonomous vehicles require complex sensors and computers whose production volume is lower compared with even advanced driver assistance systems (ADAS). And teleoperation, in which humans monitor autonomous vehicles for safety, is likely to be a "non-negligible" cost in light of research raising concerns about business models.
Amazon just put Tesla on notice. Last month, Amazon announced a surprising new blockbuster acquisition: It's buying Zoox--a self-driving car startup--for $1.2 billion. Amazon's surprising move got the full attention of Tesla CEO Elon Musk. Immediately after the deal, he jokingly called Amazon CEO Jeff Bezos a "copycat." The obvious question here is: Why is Amazon getting into cars?
Tesla (NASDAQ:TSLA) CEO Elon Musk made headlines recently by saying that his electric vehicle company is "very close" to achieving level 5 autonomous driving technology. "I remain confident that we will have the basic functionality for level 5 autonomy complete this year," Musk said in a video message, as reported by Reuters. But many industry insiders and self-driving engineers are dubious of Musk's claims. After all, level 5 autonomy means a truly self-driving car, that can drive anywhere, at any time, under any condition, without ever needing any human assistance. Gill Pratt, the CEO of the Toyota Research Institute, said "none of us in the automobile or IT industries are close to achieving true level 5 autonomy."
Though often overlooked, cars serve as a rich data source. Millions of transportation vehicles whizz past us on a regular basis, each of which generate swaths of useful information that automakers are now figuring out how to monetize. Some of the biggest passenger car automakers have more than 10 million vehicles' worth of data sitting in their data repositories. Failure to tap into these vast data stores amounts to lost value-added for customers, lost safety opportunities and lost revenue and business intelligence. According to a McKinsey Report, "The overall revenue pool from car data monetization at a global scale might add up to USD 450 - 750 billion by 2030." In addition, according to a market analysis report on the Automotive Cyber Security Market, "The global automotive cyber security market size was valued at USD 1.44 billion in 2018 and is expected to grow at a compound annual growth rate (CAGR) of 21.4% from 2019 to 2025."
Few issues are as important to businesses today than sustainability. Because the modern consumer cares about the environment, companies need to meet higher expectations about eco-friendly practices. Supply chains, in particular, have a lot of room to improve. It's no secret that logistics chains aren't exactly eco-friendly. They account for more than 80% of carbon emissions globally. The modern business world can't exist without supply chains, but the natural world won't exist in the same way if they don't improve. The good news is there's an . . .
Lidia Yan is Co-Founder and CEO at NEXT, overseeing its vision and growth. The COVID-19 pandemic is unlike anything the logistics sector has seen. While the industry is old enough that it's been through epidemics, the global nature of today's supply chain coupled with a laser-like focus on efficiency (often "just-in-time" shipping) has created a unique set of challenges. Thus far, many of the approaches ensuring essential goods make it into the hands of those that need them have relied on the sheer willpower of the truckers, warehouse packers and port workers who are willing to brave the environment. However, behind the scenes and out of the public eye, artificial intelligence (AI) is powering hundreds of logistics decisions and overcoming thousands of external hurdles.
Autonomous and semi-autonomous trucks promise to help an industry facing a shortage of drivers and increasing e-commerce demand, but they need to demonstrate efficiency for logistics adoption. Einride AB, which has been developing electric and autonomous trucks, today launched its Intelligent Freight Mobility Platform. The system is intended to help logistics fleet managers and drivers plan routes and loads, track shipments, and monitor energy efficiency. In February, Einride began recruiting the first remote operators for its trucks. The Stockholm-based startup also announced the beta of the Intelligent Freight Mobility Platform.
The language we use is important, even when talking about robocars. That became apparent last week when the Associated Press updated its style guide to avoid the term "semi-autonomous" for systems like Tesla's Autopilot, General Motor's Super Cruise, and Nissan's ProPilot Assist. Avoid the term semi-autonomous because it implies that these systems can drive themselves. At present, human drivers must be ready to intervene at any time. Instead, the style guide suggests those systems should be labeled as "partially" automated or as an advanced driving assistant.
Security cameras watching a highway in Taiwan captured the moment a white Tesla Model 3 vehicle plowing into truck that was rolled over on its side. Reports say the driver of the Tesla did not see the overturned Truck while cruising with the Autopilot driver assistant feature activated. The footage also shows that the car's emergency automatic braking system was applied at the last second, due to smoke coming from the tires moments before the collision. An image of the aftermath shows the entire front-end of the Tesla pierced through the roof of the truck, but reports note that neither of the drivers were injured. Tesla's Autopilot features allow the vehicle to steer, accelerate and brake automatically within a lane.