In April, the European Commission released a wide-ranging proposed regulation to govern the design, development, and deployment of A.I. systems. The regulation stipulates that "high-risk A.I. systems" (such as facial recognition and algorithms that determine eligibility for public benefits) should be designed to allow for oversight by humans who will be tasked with preventing or minimizing risks. Often expressed as the "human-in-the-loop" solution, this approach of human oversight over A.I. is rapidly becoming a staple in A.I. policy proposals globally. And although placing humans back in the "loop" of A.I. seems reassuring, this approach is instead "loopy" in a different sense: It rests on circular logic that offers false comfort and distracts from inherently harmful uses of automated systems. A.I. is celebrated for its superior accuracy, efficiency, and objectivity in comparison to humans.
Artificial intelligence (AI) may be the most disruptive of all the disruptive technologies. At the very least, AI's depth and rapid evolution are fast it making it a foundation in myriad industries – a status that carries with it an assortment of investment implications. A plethora of exchange traded funds offer AI exposure in varying forms, but one of the dominant forces in that group is the ARK Autonomous Technology & Robotics ETF (CBOE: ARKQ). The actively managed ARKQ isn't a dedicated AI fund, but it features exposure to industries AI intersects with, including 3D printing, autonomous transportation, energy storage, robotics, and space exploration. As is the case with so many disruptive technologies, hardware and semiconductors are the backbones of AI, and that's not going to change anytime soon.
IMAGE: Researchers explore the past, present, and future of smart vehicles and what their integration with smart cities would take. Central to any technological progress is the enrichment of human life. The internet and wireless connectivity have done that by allowing not only virtually anyone anywhere to connect real time, but by making possible connections between humans and a range of intelligent devices both indoors and outdoors, putting smart cities on the horizon. One key aspect of realizing smart cities is "smart vehicles", the latest development in intelligent transportation systems (ITS), which involve the integration of communication, mapping, positioning, network, and sensor technologies to ensure cooperative, efficient, intelligent, safe, and economical transportation. For decades, research on bringing to the streets smart vehicles that operate successfully as part of smart city infrastructure has focused on improving computing paradigms for vehicular network connectivity.
With ambitions to establish a network of autonomous trucking routes across the US, transport startup TuSimple is taking some steady and significant steps forward as it proves its technology through trials and expands into Europe. The latest test run for its self-driving trucks involved hauling a load of fresh produce over hundreds of miles across the US, where it demonstrated that it can complete such tasks in a fast and highly efficient fashion. Previously, we've seen TuSimple's Level 4 autonomous trucks use its variety of cameras and sensors to move goods as part of trials for the US Postal Service and shipping giant UPS. This time around, the startup has partnered with fresh produce provider The Giumarra Companies and Associated Wholesale Grocers to explore autonomous trucking's potential in the fresh food industry. The trial started in Nogales, Arizona, where TuSimple's truck was loaded up with fresh watermelons from Giumarra's facility.
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Mark is the CEO of W3.Digital, a Digital Transformation focused consultancy. There have been a few moments in history where technological advances and market forces combine to change the global economy's functions. These moments bypass incremental changes and create significant leaps that spur new businesses and sector-wide disruption. Railways, electricity power grids, telephony, air travel, early-stage computing, the internet and the advent of the mobile phone -- followed by the now-ubiquitous smartphone -- are examples of such leaps. While each of these moments was messy as they first emerged, each rapidly matured to a state where we cannot imagine life without them.
The automation industry is experiencing an explosion of growth and technology capability. To explain complex technology, we use terms such as "artificial intelligence" to convey the idea that solutions are more capable and advanced than ever before. If you are an investor, business leader, or technology user who seeks to understand the technologies you are investing in, this article is for you. What follows is an explanation of vision-guided robotics and deep-learning algorithms. That's right, the article is titled "artificial intelligence" and yet by the end of the first paragraph, we've already switched to deep-learning algorithms!
The Covid-19 pandemic was devastating for many industries, but it only accelerated the use of artificial intelligence across the U.S. economy. Amid the crisis, companies scrambled to create new services for remote workers and students, beef up online shopping and dining options, make customer call centers more efficient and speed development of important new drugs. Even as applications of machine learning and perception platforms become commonplace, a thick layer of hype and fuzzy jargon clings to AI-enabled software.That makes it tough to identify the most compelling companies in the space--especially those finding new ways to use AI that create value by making humans more efficient, not redundant. With this in mind, Forbes has partnered with venture firms Sequoia Capital and Meritech Capital to create our third annual AI 50, a list of private, promising North American companies that are using artificial intelligence in ways that are fundamental to their operations. To be considered, businesses must be privately-held and utilizing machine learning (where systems learn from data to improve on tasks), natural language processing (which enables programs to "understand" written or spoken language) or computer vision (which relates to how machines "see"). AI companies incubated at, largely funded through or acquired by large tech, manufacturing or industrial firms aren't eligible for consideration. Our list was compiled through a submission process open to any AI company in the U.S. and Canada. The application asked companies to provide details on their technology, business model, customers and financials like funding, valuation and revenue history (companies had the option to submit information confidentially, to encourage greater transparency). Forbes received several hundred entries, of which nearly 400 qualified for consideration. From there, our data partners applied an algorithm to identify 100 companies with the highest quantitative scores--and that also made diversity a priority. Next, a panel of expert AI judges evaluated the finalists to find the 50 most compelling companies (they were precluded from judging companies in which they have a vested interest). Among trends this year are what Sequoia Capital's Konstantine Buhler calls AI workbench companies--building of platforms tailored to different enterprises, including Dataiku, DataRobot Domino Data and Databricks.
Heatherwick Studio's concept electric car was presented at the Shanghai Motor Show 2021 in April. The Airo was designed by the London design studio for IM Motors and is a fully electric vehicle with autonomous and driver-controlled modes. The Airo will run on electric power, producing no fossil fuel pollutants as it moves around the city. But the car goes further in its environmental ambition as it also comes complete with a state-of-the-art HEPA filtering system that actively cleans the air from the pollution of other vehicles as it passes through the under-carriage, leaving the air around it cleaner. In addition to its embedded air-filtering system, Airo's customizable interior can be configured into multiple functional spaces that turn the car into a moving room or a space for your life.
"Thanks to AI, the airline saved 480,000 gallons of fuel in six months." When Greta Thunberg boarded a transatlantic zero-emissions yacht she garnered the attention of citizens of the world on the fact that aviation is a polluter of the environment that we continuously ignore. The giant industry is responsible for producing 915 million tonnes of carbon dioxide emissions along with other dangerous gases that cause environmental changes like cirrus clouds. These emissions constitute two percent of the world's greenhouse emissions. From the electrification of jets to biofuel many ideas have been suggested to make flying more eco friendly.