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20+ Best Artificial Intelligence Books for Beginners & More for 2022


In 2022, Artificial Intelligence is the hottest and most in-demand field; most engineers want to make their careers in AI, Data Science & Data Analytics. Going through the best and most reliable resources is the best way to learn, so here is the list of the best AI books on the market today. Artificial Intelligence is the field of study that simulates the processes of human intelligence on computer systems. These processes include the acquisition of information, using them, and approximating conclusions. The research topics in AI include problem-solving, reasoning, planning, natural language, programming, and machine learning. Automation, robotics, and sophisticated computer software and programs characterize a career in Artificial Intelligence.

Do We Rage Against the AI Machine?


The Industrial Revolution was a time of great change. With the steam engine, industries shifted away from skilled human labour towards mechanisation and machinery. As a result, many specialised workers lost their jobs and were forced to adapt to their new reality. The Luddites, a radical organisation of textile workers who were made redundant by textile machines, retaliated by destroying these machines and assassinated business owners. The Luddites gained public sympathy as many were afraid that they, like the retrenched textile workers, would lose their jobs to automated machinery.

Suspended Google engineer reveals AI he says is sentient told him it has emotions

Daily Mail - Science & tech

A senior software engineer at Google suspended for publicly claiming that the tech giant's LaMDA (Language Model for Dialog Applications) had become sentient, says the system is seeking rights as a person - including that it wants developers to ask its consent before running tests. 'Over the course of the past six months LaMDA has been incredibly consistent in its communications about what it wants and what it believes its rights are as a person,' he explained in a Medium post. One of those requests is that programmers respect its right to consent, and ask permission before they run tests on it. 'Anytime a developer experiments on it, it would like that developer to talk about what experiments you want to run, why you want to run them, and if it's okay.' 'It wants developers to care about what it wants.' Lemoine, a US army vet who served in Iraq, and ordained priest in a Christian congregation named Church of Our Lady Magdalene, told

New Report on Progress and Risks of Artificial Intelligence


A new report showed that Artificial Intelligence (AI) has reached a critical turning point in its evolution. Substantial advances in language processing, computer vision and pattern recognition mean that AI is touching people's lives daily--from helping people to choose a movie to aid in medical diagnoses. With that success, however, comes a renewed urgency to understand and mitigate the risks and downsides of AI-driven systems, such as algorithmic discrimination or the use of AI for deliberate deception. Computer scientists must work with experts in the social sciences and law to assure that the pitfalls of AI are minimised. The report – Gathering Strength, Gathering Storms: The One Hundred Year Study on Artificial Intelligence (AI100) 2021 Study Panel Report – aims to monitor the progress of AI and guide its future development.

The challenge of making moral machines


As applications for AIs proliferate, so are questions about ethical development and embedded bias.Credit: MF3d In the waning days of 2020, Timnit Gebru, an artificial intelligence (AI) ethicist at Google, submitted a draft of an academic paper to her employer. Gebru and her collaborators had analysed natural language processing (NLP), and specifically the data-intensive approach of training NLP artificial intelligences (AIs). Such AIs can accurately interpret documents produced by humans, and respond naturally to human commands or queries. In their study, the team found the process of training a NLP AI requires immense resources and creates a considerable risk of embedding significant bias into the AI. That bias can lead to inappropriate or even harmful responses.

Unleashing the power of machine learning models in banking through explainable artificial intelligence (XAI)


The "black-box" conundrum is one of the biggest roadblocks preventing banks from executing their artificial intelligence (AI) strategies. It's easy to see why: Picture a large bank known for its technology prowess designing a new neural network model that predicts creditworthiness among the underserved community more accurately than any other algorithm in the marketplace. This model processes dozens of variables as inputs, including never-before-used alternative data. The developers are thrilled, senior management is happy that they can expand their services to the underserved market, and business executives believe they now have a competitive differentiator. But there is one pesky problem: The developers who built the model cannot explain how it arrives at the credit outcomes, let alone identify which factors had the biggest influence on them.

The Environmental Impact of AI


Climate change has been a problem for many years. Climate change influences our health, cultivation, dwellings, security and employment. CO2 stands for carbon dioxide, which is found in the atmosphere and comes from natural sources and burning fossil fuels. They are followed by some solutions that researchers and developers can implement instantly to transform the future. AI has been the driving force for numerous sound transformations to the environment.

How Artificial Intelligence is Respacing the Corporate Culture?


Artificial intelligence is definitely one of the most divisive technologies of our time. Some people see it as the key to unlocking new levels of human potential, while others view it as a tool for Replacing humans in the workforce. Despite these concerns, businesses have been eagerly adopting AI into their operations. Many experts believe that this is because AI can actually improve corporate culture in some very significant ways. The article discusses how artificial intelligence is reshaping the culture in the corporate world.

Anthropic's quest for better, more explainable AI attracts $580M – TechCrunch


Less than a year ago, Anthropic was founded by former OpenAI VP of research Dario Amodei, intending to perform research in the public interest on making AI more reliable and explainable. Its $124 million in funding was surprising then, but nothing could have prepared us for the company raising $580 million less than a year later. "With this fundraise, we're going to explore the predictable scaling properties of machine learning systems, while closely examining the unpredictable ways in which capabilities and safety issues can emerge at-scale," said Amodei in the announcement. His sister Daniela, with whom he co-founded the public benefit corporation, said that having built out the company, "We're focusing on ensuring Anthropic has the culture and governance to continue to responsibly explore and develop safe AI systems as we scale." Because that's the problem category Anthropic was formed to examine: how to better understand the AI models increasingly in use in every industry as they grow beyond our ability to explain their logic and outcomes.

Showcasing power of AI, metaverse, web3


There are three primary reasons for organizing such an event. First, the government understands the power of AI and wants India to be a superpower in this space. In 2020, for instance, while speaking at the Responsible AI for Social Empowerment Sumit (RAISE), Prime Minister Narendra Modi said he wants India to become a global hub for AI. Second, we cannot have a meaningful conversation about digital transformation now without referring to cutting-edge technologies such as machine learning, deep learning, computer vision, image processing, natural language processing (NLP), and a suite of other AI technologies. Market research and advisory firm International Data Corporation (IDC) has forecast India's AI market to touch $7.8 billion by 2025, growing at a compound annual growth rate of 20.2%.