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) …
There are lot of Machine Learning tutorials present online however, we always face one issue (the one I faced:P) that is the order of tutorial. And I believe that "Learning without a vision is a waste". Because there are so many things to learn in this world and if we gather info & learn anything without a goal, we will be going to waste our time and eventually forget what we learnt. Everyone has different opinion but this is what I believe. Hence, I have curated a list of free Machine Learning Ebooks from different sources.
These days we are hearing a lot about AI, but have you ever heard about EDGE AI ..? What does it mean and what is it used for? Network edge or edge, where data resides and collected. Edge computing processes data on local places like computers, IoT devices or Edge servers, here we are doing computation to a network edge which indeed reduces long-distance communication between client and server. Edge AI, where AI algorithms will locally process sensor data or signals that are created on hardware devices in less than a few milliseconds by providing real-time information. Most of the time the AI algorithms are being processed in cloud data centers with deep learning models, which consume heavy compute capacity.
The #AI value chain, 1) AI chip and hardware makers who are looking to power all the AI applications that will be woven into the fabric of organisations big and small globally 2) The #cloud platform and infrastructure providers who will host the AI applications 3) The AI #algorithms and cognitive services building block makers who provide the vision recognition, speech and #deeplearning predictive models to power AI applications 4) Enterprise solution providers whose software is used in customer, HR, and asset management and planning applications 5) Industry vertical solution providers who are looking to use AI to power companies across sectors such as healthcare to finance 6) Corporate takers of AI who are looking to increase revenues, drive efficiencies and deepen their insights The today's AI is presented by what the BigTech and global social media platforms are pushing, it's Narrow /Weak AI /ML /DL, as "Cloud DL/AI Platforms". But this #Machinelearning algorithms are designed to optimize for a cost/loss function, having no intelligence, understanding or reasoning. So it is, Most curve-fitting AI tools available today sold as focused on predicting, identifying, or classifying things, a rote "learning from data/experience".
The rapid advances of disruptive technologies such as artificial intelligence, automation, and others are transforming modern businesses. These technologies have paved ways for organizations to drive efficiency and become more productive. Most enterprises see AI and automation as a driving force of change that can lead to growth in their businesses. By leveraging them, companies, whether small, medium-sized or large, will maximize the return on investment of their marketing efforts. For instance, making use of an AI-powered chatbot that interacts directly with users can be a great entry point for business leaders to experience the power of AI.
Have you ever dreamed of owning a personal robot? Boston Dynamic's doglike Spot would be a great choice were it not for the hefty US$74,500 price tag. But don't worry -- a couple of Intel Labs researchers have proposed a novel method for building a robot called "OpenBot" on just a US$50 budget. Complete design and implementation information has been open-sourced, all you need to supply is the brain and sensory system -- your smartphone. Inspired by projects such as Google Cardboard that plug standard smartphones into cheap physical enclosures, the researchers developed and validated a design for a mobile robot that leverages a smartphone for sensory and computational abilities, communication channels and access to a software ecosystem. The robot is capable of mobile navigation with real-time onboard sensing and computation, and can perform tasks such as person-following and real-time autonomous navigation in unstructured environments.
Transforming a business into one controlled by Artificial Intelligence (AI) requires everybody's interest and commitment. Despite the fact that transformation requires significant investment, various strategies can start democratizing AI immediately. It has often been said that crises uncover real character, both in people and in companies. Crises force companies to reevaluate how they work and are often the source of enduring change and development. The Covid-19 pandemic is a humanitarian crisis more huge than any recently experienced.
Researchers from several American universities are collaborating to develop artificial intelligence based software to help people on the autism spectrum find and hold meaningful employment. The project is a collaboration between experts at Vanderbilt, Yale, Cornell and the Georgia Institute of Technology. It consists of developing multiple pieces of technology, each one aimed at a different aspect of supporting people with Autism Spectrum Disorder (ASD) in the workplace, according to Nilanjan Sarkar, professor of engineering at Vanderbilt University and the leader of the project. "We realized together that there are some support systems for children with autism in this society, but as soon as they become 18 years old and more, there is a support cliff and the social services are not as much," Sarkar said. The project began a year ago with preliminary funding from the National Science Foundation. The NSF initially invested in around 40 projects, but only four -- including this one -- were chosen to be funded for a longer term of two years.
The Vatican's Pontifical Academy for Life, which began the year by urging the ethical development and application of artificial intelligence (AI), has announced an effort to use technology to fight world hunger, which has worsened during the pandemic. The Vatican institution, in collaboration with IBM, Microsoft and the UN Food and Agriculture Organization, or FAO, is encouraging governments, nonprofits and corporations to assure that technology is used to feed everyone, and to make farmers' lives more efficient and productive. In its quest to assure the transparent, responsible and inclusive use of AI, the Vatican and FAO are pushing for solutions in agriculture that will benefit not just the well off, but also the poor. "We need to face the biggest challenges on the planet," said John E. Kelly III, executive vice president of IBM. Kelly, who participated in the FAO and Pontifical Academy's Sept. 24 virtual conference announcing the effort against hunger, was one of the signers of the Vatican's call for AI ethics in February. The Vatican's effort to promote ethical AI for social good includes a new program to use digital technology to ensure a more sustainable and efficient global food supply.
Businesses that focus only on customer experience may be missing a significant opportunity to connect with people on a deeper level. We don't pour that delightful first cup of life-giving coffee and think, "I am the end user of this coffee." So why does the business world insist on grouping--and trying to understand--people as customers when, before anything else, we are human? We are messy, inconsistent, and, perhaps most of all, emotional--and it's time for businesses to acknowledge, respect, and account for this. The fields of philosophy, religion, social science, psychology, biology--and yes, marketing--have spilled much ink defining what it means to be human.
Artificial Intelligence (AI) is the study of "intelligent agents" which can be define as any device that perceives its environment and takes appropriate action that makes the highest probability of achieving its goals. Additionally, it can also be define as a system's ability to interpret external data, learn from gathered data and use those learnings to realize specific goals through adaptation. It is also called as machine intelligence and attributed to the nature of intelligence demonstrated by machines. Some of the features of artificial intelligence are; successfully understanding human language, contending at the highest level in strategic games systems such as chess and go, autonomously operating cars, intelligent routing in content delivery networks and military simulations and others. To solve the problem of learning and perceiving the immediate environment, many approaches have been taken such as statistical methods, computational intelligence, versions of search and mathematical optimization, artificial neural networks, and methods based on statistic, probability and economics.