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 has grown to have a significant impact on our daily lives: From Amazon's home assistant Alexa collecting and analyzing information to anticipate our needs, or Facebook suggesting who we should friend, to applications protecting us from credit card fraud and improving online shopping experiences. Organizations want their data to do the heavy lifting for them, driven by the desire to save on costs, improve consistency and streamline operations. While ML technologies were previously perceived as an excessive expenditure, today they are seen as an investment in the business' future and a competitive revenue driver. In order to stay competitive and successful, organizations have to invest in the right technologies and intelligently use the skills and data systems that they already have. The following three tips will help enterprises evaluate ML benefits and investments and make the most of the technology they already have.
Facial-recognition software is increasingly being used to track individuals without their permission.Credit: David McNew/AFP/Getty China wants to be the world's leader in artificial intelligence (AI) by 2030. The United States has a strategic plan to retain the top spot, and, by some measures, already leads in influential papers, hardware and AI talent. Other wealthy nations are also jockeying for a place in the world AI league. A kind of AI arms race is under way, and governments and corporations are pouring eye-watering sums into research and development. The prize, and it's a big one, is that AI is forecast to add around US$15 trillion to the world economy by 2030 -- more than four times the 2017 gross domestic product of Germany.
AI has become the key driver for the adoption of edge computing. Originally, the edge computing layer was meant to deliver local compute, storage, and processing capabilities to IoT deployments. Sensitive data that cannot be sent to the cloud for processing and analysis is handled by the edge. It also reduces the latency involved in the roundtrip to the cloud. Most of the business logic that runs in the cloud is moving to the edge to provide low-latency, faster response time.
Did you know that only one percent of cold calls even lead to an appointment, according to a popularly cited study by Baylor University's Keller Center for Research? The problem with cold calling is that it lacks a personal touch. Most of the time, the sales rep doesn't offer anything the customer wants, because they don't know what they want. You may not have considered this before, but incorporating artificial intelligence (AI) into the process could actually improve results by delivering customer insights to sales reps, ensuring they only contact interested individuals. So while much has been made about AI's ability to automate routine processes, comb through mountains of data and even do more complex tasks, such as writing standard news content, it can also help sales teams provide a truly personalized approach at scale.
AI is already on its way to transforming healthcare delivery and improving patient outcomes. However, while AI, Machine Learning, and Robotics are all designed to reduce human error and increase the predictability of patient care, they also create new risks across the healthcare liability landscape. In a situation where a healthcare provider uses AI to treat a patient who has a less than a desired outcome (or even simply an unanticipated one), we anticipate liability suits against those healthcare providers, healthcare systems, AI software companies, and robotic device manufacturers. In this post, we will consider what happens when lawsuits get ahead of science, insurance considerations in this new liability landscape, and possible modifications to legal doctrine to address this new science. What makes AI so compelling is its use of predictive, learning algorithms (Machine Learning) to improve the precision of the practice of medicine.
When we last covered Nvidia (NVDA) we were taken aback by the quarterly results. From our perspective, we were disappointed that gross margins held up as well as they did and NVDA guided higher for the next quarter in this area. This was definitely not the outcome we were looking for. Also revenues held up better considering what was some rather brutal USD strength. Both these events tempered our shorter-term bearishness.
Tim Purcell, R&D Director at Datel, examines the possible impact of leading edge technologies on the global supply chain. Supply chain technology has evolved at an incredible pace throughout the years and will only continue to evolve. Advancements in this space are revolutionising the way people work and are also helping to drive businesses forward and remain competitive. Over the next few years, we will see advancement in trends such as blockchain and AI advance and we will begin to see companies looking seriously at these technologies as they consider their digital transformation strategies. Managing today's supply chain can be extremely complex.
Jio, the world's largest mobile data network service provider, and Guavus, a Thales company and the leader in AI-powered analytics for communications service providers, announced a partnership today centered on AI-driven analytics. Guavus' AI-based solutions will provide real-time customer experience analytics, predictive analytics to automate network troubleshooting, and key marketing insights to Jio. As a result, Jio will be able to offer superior service to its customers while addressing critical service operations with intelligent automation. Jio is one of the world's largest and fastest growing data service operators with more than 300 million subscribers. The Indian service provider, which has disrupted the market with its affordable data plans and unlimited calling benefits, has created a completely digital experience for its users ranging from data services on smartphones, to gigabit Internet at home, along with a portfolio of media offerings and IoT devices such as smart speakers and switches for the smart home.
Adafruit's Circuit Playground is jam-packed with LEDs, sensors, buttons, alligator clip pads and more. Build projects with Circuit Playground in a few minutes with the drag-and-drop MakeCode programming site, learn computer science using the CS Discoveries class on code.org, It has a powerful processor, 10 NeoPixels, mini speaker, InfraRed receive and transmit, two buttons, a switch, 14 alligator clip pads, and lots of sensors: capacitive touch, IR proximity, temperature, light, motion and sound. A whole wide world of electronics and coding is waiting for you, and it fits in the palm of your hand. Join 12,000 makers on Adafruit's Discord channels and be part of the community!
Some experts believe these chips will play a key role in the race to create artificial intelligence, potentially shifting the balance of power among tech companies and even nations. They could feed the creation of commercial products and government technologies, including surveillance systems and autonomous weapons. Google has already built such a chip and uses it in a wide range of A.I. projects, including the Google Assistant, which recognizes voice commands on Android phones, and Google Translate, which translates one language into another. "There is monstrous growth in this field," said Cerebras's chief executive and founder, Andrew Feldman, a chip industry veteran who previously sold a company to the chip giant AMD. New A.I. systems rely on neural networks.