Many job descriptions across organizations will require at least some use of AI in the coming years, creating opportunities for the savvy to learn about AI and advance their careers regardless of discipline. New job titles have and will emerge to help the organization execute on AI strategy. Machine learning engineers have cemented a leading role on the AI team, for example, taking first place on best jobs listed on Indeed last year, according to a recent rapport in CIO. And AI specialists were the top job in LinkedIn's 2020 Emerging Jobs report, with 74% annual growth in the last four years. This was followed by robot engineer and data scientist.
The existential question that we should be asking ourselves, is are we living in a simulated universe? The idea that we are living in a simulated reality may seem unconventional and irrational to the general public, but it is a belief shared by many of the brightest minds of our time including Neil deGrasse Tyson, Ray Kurzweil and Elon Musk. Elon Musk famously asked the question'What's outside the simulation?' in a podcast with Lex Fridman a research scientist at MIT. To understand how we could be living in a simulation, one needs to explore the simulation hypothesis or simulation theory which proposes that all of reality, including the Earth and the universe, is in fact an artificial simulation. While the idea dates back as far as the 17th-century and was initially proposed by philosopher René Descartes, the idea started to gain mainstream interest when Professor Nick Bostrom of Oxford University, wrote a seminal paper in 2003 titled "Are you Living in a Computer Simulation?" Nick Bostrom has since doubled down on his claims and uses probabilistic analysis to prove his point.
I've lost track of the number of times I've heard someone say Timnit Gebru is saving the world recently. Her co-lead of AI ethics at Google, Margaret Mitchell, said it a few days ago when Gebru led events around race at Google. Gebru's work with Joy Buolamwini demonstrating race and gender bias in facial recognition is one of the reasons lawmakers in Congress want to prohibit federal government use of the technology. That landmark work also played a major role in Amazon, IBM, and Microsoft agreeing to halt or end facial recognition sales to police. Earlier this week, organizers of the Computer Vision and Pattern Recognition (CVPR) conference, one of the biggest AI research events in the world, took the unusual step of calling Gebru's CVPR tutorial illustrating how bias in AI goes far beyond data "required viewing for us all."
The Artificial Intelligence, according to a recent and interesting work, "Artificial Intelligence for Cybersecurity", realized with four hands by Matteo E. Bonfanti and Kevin Kohler, promises to change the panorama of cybersecurity in the coming years, and launches a warning to the various Governments, to seek and adopt adequate regulatory frameworks, in order to face the growing future cybernetic threats. Artificial Intelligence comes from a subset of machine learning, deep learning, which through layering of layers and artificial neurons, produces certain results. The applicability of the phenomenon, which extends to various areas, here, in this pamphlet, is analyzed in relation to cyber security, and the related security needs. The AI development community, has always had an open approach, at least in principle, and therefore has always been inclined to share, not only the results of the studies carried out, but also source codes, tutorials and data sets. The advent of "cloud computing" on demand has done the rest, making accessible, to many, a computational power, previously exclusive to States and government structures.
The age of artificial intelligence is here, and it will eventually change how most businesses and industries operate. With so much potential, AI could prove a powerful tool in addressing certain societal problems; however, as with any new technology, it may cause problems, too. As prominent tech leaders, the members of Forbes Technology Council are keeping their eye on the rapid evolution of AI and assessing its potential impact. We asked 15 of them to share their thoughts on whether artificial intelligence will help or hurt society in the long run. Here's what they had to say.
I've lost track of the number of times I've heard somebody say recently that Timnit Gebru is saving the world. Her co-lead of AI ethics at Google, Margaret Mitchell, said that about her a few days ago when Gebru led some events at Google around race. Her work with Joy Buolamwini that found race and gender bias in facial recognition is in part why lawmakers in Congress want to prohibit federal government use of the technology. That work also played a major role in Amazon, IBM, and Microsoft agreeing to halt or end facial recognition sales to police. Earlier in the week, organizers of the Computer Vision and Pattern Recognition (CVPR) conference, one of the biggest AI research conferences in the world, took the unusual step of calling her CVPR tutorial about how bias in AI goes far beyond data "required viewing for us all."
The traditional safety measures in the space of cyber security rely on antivirus programming like firewalls. Different tools distinguish and forestalls web security dangers. In this case, the timely updates of the antivirus software in accordance with the latest threats and the mentality of an individual who is accountable for security would decide the degree of security site on the digital platform. AI relies on creative innovations like Machine Learning, Deep Learning, Natural Language Processing, and so forth to make it hard for programmers to access servers and other important data put away inside PCs. AI has crossed many milestones and now it's turn for cyber security. So let's learn how Artificial Intelligence in Cyber security is helpful.