Artificial Intelligence (AI) is the hot topic of the moment in technology, and the driving force behind most of the big technological breakthroughs of recent years. In fact, with all of the breathless hype we hear about it today, it's easy to forget that AI isn't anything all that new. Throughout the last century, it has moved out of the domain of science fiction and into the real world. The theory and the fundamental computer science which makes it possible has been around for decades. Since the dawn of computing in the early 20th century, scientists and engineers have understood that the eventual aim is to build machines capable of thinking and learning in the way that the human brain – the most sophisticated decision-making system in the known universe – does.

This post originally published on Medium. It is republished here with permission. I've been around computing since my older brother got a Commodore 64 for Christmas in 1983. I took my first "business machines" class in high school in 1991, attended my first computer science class in 1994 (learning Pascal), and moved to Silicon Valley in 1997 after Cisco converted my internship into a permanent position. I worked in Cisco's IT department for several years before moving to their engineering group, where I designed networking protocols. I went to grad school at MIT in 2004, where I met the founders of several companies in Y Combinator's first couple of batches and worked on Hubspot before it was Hubspot. After writing several books for O'Reilly and attending the first O'Reilly Web 2.0 and MIT Sloan Sports Analytics conferences, I started a "Web 2.0 for Sports" company called StatSheet.com in 2007, which, in 2010, pivoted into the first Natural Language Generation (NLG) company called Automated Insights. I recently stepped back at Automated Insights to become a Ph.D. student at UNC studying artificial intelligence.

Nortek Security & Control LLC (NSC) is a global leader in smart connected devices and systems for residential security, smart home automation, access control, and digital health markets. NSC and its partners have deployed more than 5 million connected systems and over 25 million security and home control sensors and peripherals. Through its family of brands including 2GIG, ELAN, GoControl, Linear, Mighty Mule, IntelliVision, and Numera, NSC designs solutions for security dealers, technology integrators, national telecoms, big box retailers, OEM partners, service providers, and consumers. Headquartered in Carlsbad, California, NSC has over 50 years of innovation and is dedicated to addressing the lifestyle and business needs of millions of customers every day.

With technological advancement, IT technology developers are making efforts to develop software that can ease the physical work life. One such advancement in technology is intelligent automation. The intelligent automation is a combination of automation and artificial intelligence. This new technology has revolutionized the way data is handled and processed. The intelligent automation system determines and synthesizes a massive amount of information, automates the business and operational workflows and adapts it.

Rapidly rising e-commerce activities will be the key driver for the global cybersecurity market growth during the forecast period. E-commerce giants such as Amazon are fast diversifying their businesses and product offerings and ecosystem of connected devices is getting wider and bigger. For example, in 2017, Amazon reportedly shipped more than 5 billion products globally. According to the OECD's Creditor Reporting System, funds to the tune of USD 6.6 billion were disbursed to promote cross-border electronic connectivity between 2006 and 2016. Thus, as more people shop and transact online, the global cybersecurity market revenue is set to get fueled in the forecast period.

SINGAPORE - Singapore is the most prepared for the next wave of technology disruption that will be brought about by artificial intelligence (AI), according to a new index on AI readiness that ranks 105 global cities. The technique that allows machines to learn from enormous sets of data is expected to bring new conveniences in modern living and economic benefits. But jobs risk being displaced, people's privacy risks being exposed and inequality may be perpetuated by AI being fed biased data, with cities at various stages of readiness for the new future. In determining how prepared global cities are for this disrupted future, New York-based research outfit Oliver Wyman Forum's inaugural Global Cities AI Disruption Index, released on Thursday (Sept 26), scored cities on 31 metrics across four broad categories: vision, activation ability, asset base and growth trajectory. Singapore received the best overall score of 75.8, bolstered by its strong performance in the vision category, which measures the presence of plans to respond to technology changes and plans to upgrade labour skills and infrastructure such as mobile networks.

It was the beginning of September, spring was coming in Prague, when I attended Tech Conference Europe organized by PICANTE. The publishing website picks the latest news about technology, finance, and many other topics that resonate today. If you asked me why to attend any tech conference, I would say – to meet interesting people and get inspired. Events like this one are an amazing opportunity to broaden your horizons and discover what's going on in the industry. Picante conference focused on different fields such as blockchain, Artificial Intelligence (AI) or Virtual Reality (VR).

THE ECONOMIST'S Open Future essay competition winner was announced in September, beating nearly 2,400 entries from over 110 countries. But how might artificial intelligence tackle the question? Specifically, we fed the essay question and the 58-word description through a natural-language processing algorithm called GPT-2, released publicly in February by OpenAI, a group working on AI research and ethics, based in San Francisco. The result was six roughly 400-word texts. We took the larger parts of three of them and placed them one after another with no other editing.

Prolific science and science fiction writer Isaac Asimov (1920–1992) developed the Three Laws of Robotics in the hope of guarding against potentially dangerous artificial intelligence. They first appeared in his 1942 short story Runaround. "Many computer engineers use the three laws as a tool for how they think about programming," says Chris Stokes, a philosopher at Wuhan University in China. But the trouble is, they don't work. In "Why the Three Laws of Robotics Do Not Work," published in the International Journal of Research in Engineering and Innovation, Stokes writes that "the Three Laws are not sufficient when it comes to controlling an artificial intelligence."

Tractica predicts that the global artificial intelligence (AI) software revenue will grow from the already quite impressive US $9.5 billion back in 2018 to an even more astounding US $ 118.6 by 2025. What exactly is driving this growth? While massive companies such as Amazon contribute in terms of resources in order to develop AI tech, much of the growth actually comes from startups. So who are the leading investors in AI as of the moment? This ranking is based on Index's listing of companies based on the number of investments they have as of May 2019.