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) …
An academic and a lawyer have teamed up to develop a robot lawyer, which, if successful, will make legal advice affordable to people from all backgrounds, while revolutionising the legal sector. Robots could take on significant parts of a lawyer's work, reducing the costs and barriers to access to legal services for everyone, rather than just those who can afford the high costs. The project, at the University of Bradford, is initially working on a machine learning-based application to provide immigration-related legal advice, but if successful, it could be replicated across the legal sector. The idea has received government backing in the form of a £170,000 grant from Innovate UK Knowledge Transfer Partnerships. Legal firm AY&J Solicitors is providing a further £70,000 as well as the vital knowledge of lawyers.
The information presented in Lega-Tech Artificial Intelligence Market Report 2021 includes qualitative and quantitative insights. Under the qualitative analysis part, manufacturing base, raw materials data, Lega-Tech Artificial Intelligence status, trends, SWOT analysis, PESTEL Analysis, distribution channels, driving factors, and a competitive structure is presented. Under the qualitative analysis part, market value/volume, production analysis, consumption data, import-export data, or each region and country are explained. Also, industry size by Lega-Tech Artificial Intelligence type, application, demand and supply scenario, and economic status are explained. Also, comprehensive information on the latest product development, growth opportunities, industry strategies, cost structures, and recent policies are enlightened in the Lega-Tech Artificial Intelligence report.
Artificial intelligence is becoming good at many "human" jobs--diagnosing disease, translating languages, providing customer service--and it's improving fast. This is raising reasonable fears that AI will ultimately replace human workers throughout the economy. Never before have digital tools been so responsive to us, nor we to our tools. While AI will radically alter how work gets done and who does it, the technology's larger impact will be in complementing and augmenting human capabilities, not replacing them. Certainly, many companies have used AI to automate processes, but those that deploy it mainly to displace employees will see only short-term productivity gains. In our research involving 1,500 companies, we found that firms achieve the most significant performance improvements when humans and machines work together. Through such collaborative intelligence, humans and AI actively enhance each other's complementary strengths: the leadership, teamwork, creativity, and social skills of the former, and the speed, scalability, and quantitative capabilities of the latter. What comes naturally to people (making a joke, for example) can be tricky for machines, and what's straightforward for machines (analyzing gigabytes of data) remains virtually impossible for humans.
A research group has developed an autonomous robotic team of devices that can be used at hazardous or difficult-to-reach sites to make surveys and collect data--providing more and faster insights than human beings are able to deliver. These robot teams--composed of autonomous devices that gather data on the ground, in the air, and in water--would be ideally suited for hazardous environmental situations and/or for holistic environmental surveys of ecosystems. An autonomous team like this could do a survey and rapidly sample what's in the air and the water so that people could be kept out of harm's way. In another context, the robots could provide a general survey of ecosystems, or they could look at situations such as harmful algal blooms in lakes. A recent demonstration in the field showed how the autonomous robotic team can rapidly learn the characteristics of environments it has never seen before. Researchers hope the robot team prototype can be a model for changing the methods that are used to survey disaster sites, waterways, and extreme environments.
Artificial intelligence is the technological blow that took the world by storm. When the term'artificial intelligence' was first coined at a conference, no one imagined that one day, it will replace all the repetitive jobs and relieve humans from performing heavy labour works. The advent of the internet helped technology to progress exponentially. Artificial intelligence stood alone for the past three decades, and now, it is streamlining with widespread sub-technologies and applications. From biometrics and computer vision to smart devices and self-driving cars, emerging trends are fuelling the AI craze. Henceforth, Analytics Insight has listed the top 10 AI technologies that are taking innovation to next level in 2021.
An AI tool developed at the University of Gothenburg offers new opportunities for analyzing images taken with microscopes. A study shows that the tool, which has already received international recognition, can fundamentally change microscopy and pave the way for new discoveries and areas of use within both research and industry. The focus of the study is deep learning, a type of artificial intelligence (AI) and machine learning that we all interact with daily, often without thinking about it. For example when a new song on Spotify pops up that is similar to songs we have previously listened to or when our mobile phone camera automatically finds the best settings and corrects colors in a photo. "Deep learning has taken the world by storm and has had a huge impact on many industries, sectors and scientific fields. We have now developed a tool that makes it possible to utilize the incredible potential of deep learning, with focus on images taken with microscopes," says Benjamin Midtvedt, a doctoral student in physics and the main author of the study.
To navigate through the worldwide Covid-19 health crisis, organisations from every sector have needed to adapt enterprise and customer-facing operations using AI, the cloud and other technologies, to stay relevant for employee and consumer behaviours. The shift to remote working has meant that plans for digital innovation needed to be accelerated, and AI has been key to easing transitions and improving customer experience. Initially, fears were frequently expressed about the evolution of AI meaning that human workers would no longer be needed. But with flaws such as bias and inaccuracies remaining common, the contrary has proven to be the case. "If you've watched any sci-fi film or TV programme, you'll be aware of the fears around AI.," said Samantha Humphries, senior security specialist at Exabeam.
Having a new television to play video games on or stream Netflix, Disney and the new Paramount service on is great. But buying a new TV, that can be a hassle. Because your eyes for a larger TV may be bigger than your budget allows. However, most say opt for larger if you can afford it – I've never heard anyone say, "Gee, I wish my TV was smaller." But there are other issues to consider when you are buying a TV, our tech columnist colleague Marc Saltzman says.
Whether your current experience with chatbots allows you to believe me or not, better customer experiences are possible with human-intelligence-powered AI chatbots. Research by Gartner indicates that within a few years from now, 89% of businesses will compete mostly on customer experience versus 36% four years ago. That means that businesses need to be deploying all the help they can get in CX. A well-trained AI-powered knowledge management system can help to provide more accessible information to your employees, helping them to be more efficient. It can also bring consistency to your CX experience, granted that you provide the AI with the intelligence it needs from your human agents.
I recently read an article about ageism, and how companies are struggling to effectively manage it. A short time later I read about Artificial Intelligence (AI), and how it will make Talent Acquisition (TA) more efficient. So, I started thinking…how will AI and ageism coexist? Bias is practiced every day by everyone, starting with personal preference for morning coffee and what goes in it, to our taste in cars (Tesla), to what to buy on Amazon, and more. We also have strong biases in technology preference: Mac or PC, iPhone or Galaxy, Samsung, or LG?