Science fiction has been depicting the good and bad of artificial intelligence for years. Artificial intelligence is everywhere and becoming a critical part of our everyday lives.
If intelligence is the use of data to make predictions, then artificial intelligence systems are primed to take over thousands of jobs and change every aspect of society.
But new jobs, like repairing robots and the ever-increasing need for software programmers are also on the rise.
Regardless, the future is uncertain on the ultimate applications and benefits of AI.
Siraj Raval discusses artificial intelligence (AI) and blockchain.
He notes that machine learning – AI – is not new. It’s been around since the 1950s.
However, in recent years, one facet of AI, neural networks, has engendered the model of deep learning, which has outperformed all prior machine learning models.
Hence, all big AI advancements noways are coming from neural networks.
In contrast to AI, he describes blockchain as an immutable data structure that no one owns.
Raval depicts AI and blockchain as a ying and yang.
In Chinese philosophy, yin and yang describes how opposite or contrary forces are actually complementary, interconnected, and interdependent in the natural world, and how they give rise to each other as they interrelate to one another.
More specifically, he describes AI (“yin”) as probabilistic (subject to or involving chance variation) and changing, using algorithms to guess at reality.
He describes blockchains (“yang”) as determininistic (forces and factors cause things to happen in a way that cannot be changed) and permanent, using algorithms and cryptography to record reality.
Raval refers to our personal data as the most valuable asset we have and yet we give it away for free to companies in exchange for free services.
Hence, decentralized apps are an important idea, which can also be called web 3.0, which he considers one of the most exciting developments today.
More specifically, he describes decentralized autonomous organizations (DAO) or decentralized apps (Dapp) as a solution to data management.
DAO is a computational process that runs autonomously, on a decentralized infrastructure with resource manipulation. “It’s code that can own stuff.”
Instead of one central authority owning it, the participants have ownership.
Raval states that the future is AI and blockchain.
He also cautions against the downside of decentralized apps using AI and blockchain, such as machines running independent from the control of humans.
Raval ends with a rap about AI and blockchain.
Siraj Raval is a Dapp developer & entrepreneur. He is founder of a crowdfunding platform for developers called Havi, has developed several iOS apps including Meetup, and has worked on a host of open source work.
Amy Webb, founder and quantitative futurist at The Future Today Institute, talks with Tonya Hall at ZDNet about blockchain, benevolent malware, AI, and mixed reality.
In spite of the vicissitudes and hype of cryptocurrencies, the potential for blockchain to benefit so many industries is irresistible.
Within the field of artificial intelligence, there is much to pay attention to. Facial computing is a branch of AI which shows great promise.
In terms of generally looking at future technology, Webb advises looking broader than your own industry.
The Future Today Institute researches emerging technologies at the fringes and tracks them as they move towards the mainstream. Their pioneering, data-driven forecasting methodology and tools enable organization leaders to make better decisions about the future.
Artificial intelligence (AI), sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals. Computer science defines AI research as the study of “intelligent agents”: any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals.
“Artificial intelligence” is often applied when a machine mimics “cognitive” functions that humans associate with other human minds, such as “learning” and “problem solving.”
Artificial intelligence was founded as an academic discipline in 1956, and in the years since has experienced several waves of optimism, followed by disappointment and the loss of funding (known as an “AI winter”), followed by new approaches, success and renewed funding.
For most of its history, AI research has been divided into subfields that often fail to communicate with each other.
These sub-fields are based on technical considerations, such as particular goals (e.g. “robotics” or “machine learning”), the use of particular tools (“logic” or artificial neural networks), or deep philosophical differences.
Subfields have also been based on social factors (particular institutions or the work of particular researchers).
In early November, Malta, the “Blockchain Island,” hosted one of the biggest blockchain events in Europe — the 2018 Malta Blockchain Summit.
The “Blockchain Island” is not only a center for international blockchain commerce, but it’s also on its way to becoming a “Top AI nation” as well.
In other words, in the same way Malta has established a friendly regulatory environment for blockchain technology, it is doing the same for artificial intelligence.
