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) …
Flexciton, the London-based startup that is using AI to help factories optimise production lines, has raised £2.5 million in funding, in a round led by Backed VC. Also participating is Join Capital and company builder Entrepreneur First. The young company pitched at EF's 6th London demo day in 2016. Riding the so-called "Industry 4.0" wave, Flexciton has developed an AI-driven solution to optimise the way manufacturers plan and schedule "multi-step production lines," which it says is a complex mathematical task faced by all manufacturers. "Running every factory in the world is a plan for that factory's production," explains Flexciton co-founder Jamie Potter.
Geopolitical and market events promise to make 2019 a challenging year for supply chain and procurement teams, one full of both increased risks and opportunity. Forward-thinking professionals are looking to new technologies to help them make the most of it. Managing geopolitical risk has always been a part of procurement and supply management's job, but as new sources of supply volatility emerge and the threat of tariff escalations increase, managing these risks has become critical. In addition to the standard sources of risk - typhoons, hurricanes, factory fires and labor disputes, world events have created new sources of risk that were unforeseeable a few short years ago. Traditionally a stabilizing influence, U.S trade policy has become less predictable.
Earlier this month, I crawled into Dr. Wendy Ju's autonomous car simulator to explore the future of human-machine interfaces at CornellTech's Tata Innovation Center. Dr. Ju recently moved to the Roosevelt Island campus from Stanford University. While in California, the roboticist was famous for making videos capturing people's reactions to self-driving cars using students disguised as "ghost-drivers" in seat costumes. Professor Ju's work raises serious questions of the metaphysical impact of docility.
Artificial intelligence (AI) has a perception problem, as many people think of the technology primarily as a job killer. However, collaboration between humans and AI opens the opportunity of putting the design and manufacturing of goods of all kinds on a new, better foundation by curating intelligence. That's why we should rethink our expectations for machine intelligence and how it will affect our future. The role of a human as the most intelligent creature on earth may not last much longer. Technologies like artificial intelligence and machine learning are taking on operations that could previously only be conducted with human intelligence – and in some cases they're doing even better than we do.
The video analytics market sits as a fast-growing segment within the equally-fast-growing video surveillance market: with the former expected to reach $9 billion within the latter's $62 billion by 2023. Now Bosch, one of the industry's leading players, thinks it's rife for a shake-up. Gone are the days of aging CCTV cameras rusting on poles, piping feeds to control rooms where no-one is watching or to data warehouse systems'just in case' something happens. Nowadays, pixel-counts have been joined on camera spec sheets by intelligent analysis and automation; in the three-way space race that is Cloud, IoT and AI, video surveillance and analytics tick all the boxes. And with more of a focus now than ever before on computer vision techniques, driven by sectors as diverse as automated vehicles and the Internet of Battlefield Things, and by next-gen edge-AI chips and GPUs, innovation shows no signs of slowing.
Advancements in artificial intelligence continue to develop on industries like aviation, manufacturing and technology, and others. This is because, the offerings of AI, machine learning and deep learning can help companies to become more efficient. But one industry which is witnessing dramatic change is the automotive sector. AI is revolutionizing this industry and has entirely new ways for people to get around and will also impact the way traffic will be maintained in the cities. The attempts to create driverless cars are gaining promising with the availability of advanced technologies, notably AI.
Welcome to the era of robotics in manufacturing. The current shockwave of technological transformation has again reached the industrial landscape. The fourth industrial revolution is changing the way the manufacturing industry works. Notably, robots have started populating the manufacturing floors and are powering exponential growth in manufacturing productivity. However, the transition into Industry 4.0 is posing significant challenges.
The first wave of digital transformation was built upon leveraging cloud, mobile and big data, to create a platform for organisations to achieve greater operational efficiencies, better business insights, and deeper customer engagements. These efforts helped provide competitive advantages for organisations as they started to work smarter and more efficiently. The commitment to digital transformation is as strong as ever. According to IDC, global enterprises will spend $1.7 trillion on digital transformation in 2019. As manufacturers continue digital transformation journeys they are now looking to enter the transformation 2.0 phase, in which they will use new technologies to create even more opportunities and address new challenges on the factory floor.
Alongside AI and automation, virtual reality (VR) and its closely related cousin augmented reality (AR) have been touted for several years now as technologies likely to have a profoundly transformative effect on the way we live and work. Solutions which allowing humans to explore fully immersive computer-generated worlds (in VR), and overlay computer graphics onto our view of our immediate environment (AR) are both increasingly being adopted in both entertainment and industry. Over the next year, both VR and AR applications will become increasingly sophisticated, as devices get more powerful and capable of creating higher quality visuals. Our understanding of how humans can usefully navigate and interact within virtual or augmented environments will also evolve, leading to the creation of more "natural" methods of interacting and exploring virtual space. In a collision of two-letter abbreviations unlike anything that has come before it, AR and VR developers will increasingly build smart, cognitive functionality into their apps.
Food tech company OAL has launched the world's first artificial intelligence-based vision system, APRIL Eye, for date code verification. The system removes the operator from the date code verification process, achieving full automation to reduce the risk of product recalls and emergency product withdrawals (EPWs) caused by human error on packaging lines. Reaching speeds of over 300 packs a minute, APRIL Eye can make a significant improvement to processes, safety, quality and efficiency and deliver cost savings to food and beverage manufacturers on their packaging lines. By combining machine learning and artificial intelligence, APRIL Eye transforms the traditional date code verification process, which relies on operators to check the date code is printed correctly. APRIL Eye removes the human error inherent in these boring, repetitive tasks.