AI News, The Technologies and Business Impact of Artificial Intelligence artificial intelligence

EmTech Digital is a uniquely accessible and insightful forum on the commercialization of AI technologies.It's where the discerning lens of the world’s preeminent technology university meets Silicon Valley.Our program is carefully curated to review the state of artificial intelligence technologies.

Hear from the experts on how AI is improving their processes, from historically time-consuming and costly challenges, such as drug discovery, to more intelligent approaches to healthcare, transportation, public safety, and urban design.Defining Ethical AIIn furthering the development of AI, its creators are often faced with questions that fall outside of their technical area of expertise.

Artificial Intelligence: 101 Things You Must Know Today About Our Future

'One of the best artificial intelligence books of all time' (BookAuthority)  Did you know that artificial intelligence is changing our world faster than we can imagine?

This book covers many fascinating and timely topics related to artificial intelligence, including: self-driving cars, robots, chatbots, and how AI will impact the job market, business processes, and entire industries, just to name a few.  This book is divided into 10 chapters: Chapter I: Introduction to Artificial Intelligence

You will learn the answers to 101 questions about artificial intelligence and also have access to a large number of resources, ideas, and tips that will help you to understand how artificial intelligence will change our lives.  Who is this book for? 

Toward understanding the impact of artificial intelligence on labor

Forecasting automation from AI requires skills data that keep pace with rapidly advancing technology [e.g., Moore’s Law (45), robots in manufacturing (17), and patent production (46⇓–48)].

While skill types inform the theory of labor and technological change (1, 18, 21, 49), standard labor data focus on aggregate statistics, such as wage and employment numbers, and can lack resolution into the specifics that distinguish different job titles and different types of work.

For example, previous studies have empirically observed a “hollowing” of the middle-skill jobs described by increasing employment share for low-skill and high-skill occupations at the expense of middle-skill occupations (16, 35) (reproduced in Fig.

While wages may correlate with specific skills, wage alone fails to capture the defining features of an occupation, and models focused on only cognitive and physical labor fail to explain responses to technological change (21).

However, looking at education and wages alone has proven insufficient to explain stagnating returns on education (16, 54, 55) and slow wage growth despite increases in national productivity (14, 15, 41) (Fig.

For example, previous studies have considered occupations as routine or nonroutine and cognitive or physical (21, 56⇓⇓⇓⇓⇓⇓–63) or looked at specific types of skills in relation to augmentation and substitution from technology (18, 41).

As an example, consider that civil engineers and medical doctors are both high-wage, cognitive, nonroutine occupations requiring many years of higher education and additional professional certification.

In 2014, O*NET began to receive partial updates twice annually, which is a considerable improvement on the Dictionary of Occupational Titles, which was published in four editions in 1939, 1949, 1965, and 1977, with a revision in 1991.

For instance, the specifications of recent patents might suggest automatable types of labor in the near future (46⇓–48), thus elucidating the impact of technological change at the granularity of workplace-specific tasks and skills.

Of course, personal privacy and issues of representative sampling are inherent to these data, but increased access could meaningfully augment currently available open data on employment and workplace skills.

ICAI - Innovation Center for Artificial Intelligence

The Innovation Center for Artificial Intelligence (ICAI) is a national initiative focused on joint technology development between academia, industry and government in the area of artificial intelligence.

The Netherlands has the talent, the world-class research and the longstanding tradition in AI education to be one of the world’s top ranked countries in terms of innovation power.

ICAI will create innovative AI-applications, distribute AI-knowledge for companies and organizations in the form of technology products and tools, train corporate employees through dedicated courses, and simultaneously maintain a connection with other world-level science centers.

Digitalist Magazine

While there are real-world artificial intelligence (AI) applications for enterprises today, there is still much more potential and development for AI, which holds promising benefits for companies in every industry.

New business models are emerging – driven by AI and intelligent machine learning – and collaboration is becoming increasingly important not only between disparate business functions but also different companies.

The next wave of the industrial revolution needs to define how society as a whole wants to work together with technology and how the rules of human-robot or human-machine collaboration can be shaped when decisions are made based on artificial intelligence.

While there AI technology has shortcomings in its current state (e.g., detecting objects in images or describing visual scenes), machine learning is already used effectively in several industries, including cybersecurity, warehouse automation, and agriculture.

In healthcare, AI algorithms in medicine can allow doctors to better understand and analyze data, as well as create individualized treatments tailored to a patient’s unique genetic structure.

Considering the incredible cost and efficiency benefits in adopting AI, businesses will need to identify the ethical issues associated with these technologies and provide solutions in advance of implementation to ensure benefits do not come at the price of negative societal or economic impact.

While there are controversial issues associated with the widespread adoption of this technology, the development of artificial intelligence will lead to benefits for companies that – when implemented ethically and cautiously – will overcome potential drawbacks.

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