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) …
Getting a good night's sleep is not normally listed among the joys of parenting, and anything that could help your baby and yourself catch some extra rest is worth a look. The Cradlewise cradle is designed to do just that, by automatically bouncing waking babies back to sleep. Utilizing a built-in night-vision camera and microphone, Cradlewise monitors baby and, over time, its artificial intelligence-based software develops a sleep profile for the child, establishing its typical bedtime and waking-up time(s). If the baby shows signs of waking prematurely – such as opening its eyes, or moving around more – Cradlewise responds by gently bouncing its bed up and down, in the same manner that a parent might bounce the infant in their arms. At the same time, the cradle emits white noise from an integrated speaker.
BAE Systems recently delivered software to the Defense Advanced Research Projects Agency (DARPA) as part of a contract under the agency--s Competency-Aware Machine Learning (CAML) program. The delivery of the MindfuL----software is the first milestone in the program to improve the transparency of machine learning systems. Transitioning artificial intelligence-based systems from decision-making tools into true partners requires users to trust in their machine counterpart. While machine learning technology has matured, these systems are unable to communicate context and confidence in their decisions -- including task strategies, the completeness of their training relative to a given task, factors that may influence their actions, or the likelihood to succeed under specific conditions. To meet these challenges, BAE Systems provided its MindfuL solution, a system which will independently --audit-- a machine learning-based system and provide the end user with insights to build trust in the technology.
Machine learning is all the rage right now. It claims to revolutionize the way computers will work. Top tech companies are hiring washed-up statisticians for millions of dollars specifically to build the machine learning programs. Universities offer machine learning classes, machine learning majors, and machine learning departments. Governments and militaries are crafting labyrinth plans to adjust to the threat of machine learning and use the new technology to gain tactical advantages.
Verizon Business (NYSE: VZ) and IBM (NYSE: IBM) today announced they are entering into a collaboration to work together on 5G and edge computing innovation to help enable the future of Industry 4.0. The companies plan to collaborate on solutions combining the high speed and low latency of Verizon's 5G and Multi-access Edge Compute (MEC) capabilities, IoT devices and sensors at the edge, and IBM's expertise in AI, hybrid multicloud, edge computing, asset management and connected operations. Many industrial enterprises are today seeking ways to use edge computing to accelerate access to near real-time, actionable insights into operations to improve productivity and reduce costs. To address this need, the first solutions planned from this collaboration are to be mobile asset tracking and management solutions to help enterprises improve operations, optimize production quality, and help clients enhance worker safety. For these initial solutions, the two companies plan to leverage Verizon's wireless networks, including Verizon's 5G Ultra Wideband (UWB) network, and Multi-access Edge Computing (MEC) capabilities, alongside Verizon's ThingSpace IoT Platform and Critical Asset Sensor solution (CAS).
From electric wheelchairs to hearing aids, assistive technology is key to enhancing the social participation of persons with disabilities. As image recognition technology continues to advance, mobile devices have the potential to help users with visual impairments overcome barriers in daily life. By working with users and listening to their feedback, Samsung has developed accessibility features to empower individuals with visual impairments for Galaxy devices.1,2 To mark this year's Global Accessibility Awareness Day, the company is putting a spotlight on the three features which have enabled many Galaxy users to live more freely. The idea behind Bixby Vision is a simple one. It's designed to give people the ability to gain more information about their surroundings by using a smartphone's camera.
Adoption of AI in the contact center is spiking as businesses look for ways to address unprecedented call volumes with limited, dispersed staffing. Companies are innovating quickly, integrating more sophisticated AI applications in their contact centers. They are pushing beyond simple, logic-based FAQ bots to powerful voice-enabled AI tools designed to deliver uniquely tailored, intent-driven customer service that's easy to use and capable of supporting the customer journey from start to finish. Artificial Intelligence – using technology to better understand customer requests, and provide better answers to their questions – is the way to make this work well. Too many responses are off-topic, the bot is seen as "dumb", and it fails to provide the service your customers need.
Businesses are entering a new chapter in AI implementation where early adopters may have to work harder to preserve an edge over their industry peers, according to Deloitte. The study shows that companies at the top will be those that utilize AI to pursue creative and novel applications, actively address inherent AI risks and -- as more organizations buy AI-powered capabilities -- become smarter consumers of AI technology. "Seasoned" adopters are the example to follow as the global survey of 2,737 information technology and line-of-business executives finds this category has undertaken many AI production deployments. They have also developed a high level of AI expertise across the board in selecting AI technologies and suppliers; identifying use cases for building and managing AI solutions; integrating AI into their IT environment and business processes; and hiring and managing AI technical staff. Responding organizations were grouped into three segments, based on the number of AI production deployments undertaken and how respondents rated their enterprise's expertise across various measures.
Evolve IP, the world's leading provider of Work Anywhere solutions, announced that it has released Evolve RECAP for Microsoft Teams, the Evolve Contact Suite, and Cisco unified communications. RECAP is a voice recording, transcription, and speech analytics platform with AI-driven natural language processing. RECAP helps businesses communicate better, and operate more securely, by enabling voice recording for every part of an organization. It provides business intelligence that analyzes call sentiment, produces interactive call transcriptions, and delivers automated notifications from keyword triggers via Microsoft Teams and email. Interactive Transcripts – RECAP files integrate voice and written copy.
From robots delivering our groceries to the ability to take a car for a virtual test drive, AI offers seemingly countless, innovative ways to meet growing desire to avoid human or touchscreen contact in the wake of the COVID-19 pandemic. It's no wonder then that over three-quarters of customers expect to increase the use of touchless interfaces – such as voice assistants and facial recognition and 62% will continue to do so post-COVID. But are organizations doing enough to keep these customers happy? In the latest report from the Capgemini Research Institute – The art of customer-centric artificial intelligence –we surveyed over 5,000 customers across twelve countries and more than 1,000 industry executives across eight major industries to track the progress organizations have made with the AI-powered customer experience. When it comes to delivering a transformative impact on customer engagement, loyalty, and long-term value, the future belongs to the brave and the bold.
Smart cities aren't just sci-fi or cyberpunk dreams, but an actual solution based on Artificial Intelligence and the Internet of Things. But the question is, what is the mechanism that put it all in action? How far away humanity is from a futuristic picture of smart cities we saw in movies? To answer this question, I decided to shed some light on the current state of things for anyone interested both in existing possibilities and solutions we can track in the foreseeable future. For better or for worse, smart cities nowadays are less about flying cars, robots selling coffee, or other flashy visions from science fiction.