Artificial Intelligence (AI) is growing in spite of COVID-19. Though AI is not new, it has made major advancements recently in many fields. I will highlight five artificial intelligence trends for 2020. AI in digital marketing has ushered in unprecedented change on social media. It forecasts 24/7 chatbots, analyzes data and trends, manages custom feeds to generate content, search for content topics, create custom based personalized content, and make recommendations when required.
Researchers at University of Hawai'i at Mānoa, University of Illinois at Chicago, and Virginia Tech were awarded a $5 million National Science Foundation grant to synergize two complementary technologies -- large-scale data visualization and artificial intelligence -- to create the Smart Amplified Group Environment (SAGE3) open-source software. SAGE, soon to be on its third iteration as SAGE3, is the most widely used big-data visualization and collaboration software in the world. SAGE and SAGE2 are software to enable data-rich collaboration on high-resolution display walls. SAGE2 moved SAGE into cloud computing and SAGE3 ushers in the inclusion of artificial intelligence. Principal investigator Jason Leigh is a computer and information science professor at University of Hawai'i at Mānoa and the inventor of SAGE.
Edge computing can roughly be defined as the practice of processing and storing data either where it's created or close to where it's generated -- "the edge" -- whether that's a smartphone, an internet-connected machine in a factory or a car. The goal is to reduce latency, or the time it takes for an application to run or a command to execute. While that sometimes involves circumventing the cloud, it can also entail building downsized data centers closer to where users or devices are. Anything that generates a massive amount of data and needs that data to be processed as close to real time as possible can be considered a use case for edge computing: think self-driving cars, augmented reality apps and wearable devices. Edge computing can roughly be defined as the practice of processing and storing data either where it's created or close to where it's generated -- "the edge" -- whether that's a smartphone, an internet-connected machine in a factory or a car.
Artificial Intelligence (AI) is already ubiquitous in our day-to-day lives. From maps that find the optimal route, to Amazon, Netflix and Facebook who curate content and make recommendations tailored specifically to us. Your smartphone even understands voice commands and can perform tasks prompted by you. The technology is pervasive and is increasingly being applied in the education sector. Globally in the education sector, AI is being applied in tools that help develop learner skills, allow self-paced tailored learning, streamline assessment systems, and automate administrative activities.
In an increasingly competitive world, we should have a deep understanding of the business in which we operate, how it is evolving, and the new innovations that we could embrace or build to remain competitive and conquer new market segments. To do this, we must be able to develop a clear vision of transformation that takes us to another level of performance. By embracing Digital Transformation, we will deal with artificial intelligence, machine and deep learning, virtual reality, and a lot of other innovative technologies. At first sight, it might even sound fearful to lead the business in such a complex and intricate direction. With this in mind, we will consider some strategies to better understand and take competitive advantage of the huge streaming of data in the current era of the digital revolution.
A great role has popped up in Edinburgh for a Software Developer to join a close knit, cross-functional team working on some of the most exciting projects out there. So if your current role's missing the kind of varied and interesting workload, great office culture, ongoing career progression opportunities and other perks that our long-standing client will offer you from the outset, then get your CV in before this is snapped up! If you're an experienced Software Developer / Software Engineer with skills across C, C and/or Fortran as well as ideally some background exposure to algorithm development, interface design, and complex real-time systems, our client wants you on board. This role would be particularly suited to someone with interests in developing complex models and GIS systems, data visualisation technologies, and even Machine Learning/Artificial Intelligence! Abrecco's client is a well established, global organisation with offices in central Edinburgh who look after and reward their employees on merit.
Melvin Greer is Chief Data Scientist, Americas, Intel Corporation. He is responsible for building Intel's data science platform through graph analytics, machine learning and cognitive computing to accelerate transformation of data into a strategic asset for Public Sector and commercial enterprises. His systems and software engineering experience has resulted in patented inventions in Cloud Computing, Synthetic Biology and IoT Bio-sensors for edge analytics. He significantly advances the body of knowledge in basic research and critical, highly advanced engineering and scientific disciplines. Mr. Greer is a member of the American Association for the Advancement of Science (AAAS) and U.S. National Academy of Science, Engineering and Medicine, GUIRR.
The concept is pretty genius. Take a beefy smart lock and a video doorbell and mash them both into a single unit. It's one-stop security shopping for the exterior of your smart home, letting you not only see who comes and goes, but giving you the power to open the door for them, too. While products like Amazon Key let you cobble together a solution like this from a collection of disparate products, the Lockly Vision marks the first time it's been integrated into a single device. Camera aside, Lockly Vision is functionally similar in design to Lockly's other deadbolts, such as the Lockly Secure Pro, giving you myriad ways to open the lock.
Race After Technology opens with a brief personal history set in the Crenshaw neighborhood of Los Angeles, where sociologist Ruha Benjamin spent a portion of her childhood. Recalling the time she set up shop on her grandmother's porch with a chalkboard and invited other kids to do math problems, she writes, "For the few who would come, I would hand out little slips of paper…until someone would insist that we go play tag or hide-and-seek instead. Needless to say, I didn't have that many friends!" As she gazed out the back window during car rides, she saw "boys lined up for police pat-downs," and inside the house she heard "the nonstop rumble of police helicopters overhead, so close that the roof would shake." The omnipresent surveillance continued when she visited her grandmother years later as a mother, her homecomings blighted by "the frustration of trying to keep the kids asleep with the sound and light from the helicopter piercing the window's thin pane." Benjamin's personal beginning sets the tone for her book's approach, one that focuses on how modern invasive technologies--from facial recognition software to electronic ankle monitors to the metadata of photos taken at protests--further racial inequality.
Tight deadlines, fierce competition, and demanding customers are putting an increasing amount of pressure on organizations to improve the quality of their output and optimize the speed at which they deliver it. Emerging technologies such as the internet of things (IoT), artificial intelligence (AI), augmented reality (AR) & virtual reality (VR), big data, and blockchain have helped organizations get better by presenting them with the opportunity to disrupt virtually every business process. IoT solutions and AI solutions are both are unique and carry the potential to digitally transform an enterprise. In fact, it is projected that companies could invest up to $15 trillion in IoT by 2025. Some believe that the Internet of Things offers a potential economic impact of $4 trillion to $11 trillion per year by 2025.