If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
There is a lot of hype around Artificial Intelligence (AI) and as I mentioned in my last blog there is weak and strong AI. Personally I prefer the term narrow instead of weak for AI as the AI we have today is focused on narrow or very specific tasks. AI in of itself is a large field and the best way of getting to understand AI is to get a grounding in the basics. I like to think of AI as being an onion, as it has layers of depth starting on the outside with AI and with Deep Learning at the centre. Don't worry I will explain what these terms mean in a little bit.
In 1950, Alan Turing developed the Turing Test as a test of a machine's ability to display human-like intelligent behavior. "Are there imaginable digital computers which would do well in the imitation game?" In most applications of AI, a model is created to imitate the judgment of humans and implement it at scale, be it autonomous vehicles, text summarization, image recognition, or product recommendation. By the nature of imitation, a computer is only able to replicate what humans have done, based on previous data. This doesn't leave room for genuine creativity, which relies on innovation, not imitation.
Every feature of intelligence or learning aspects in principle can be so precisely described that a machine can seamlessly simulate it. John McCarthy, who is the Father of Artificial Intelligence, was a pioneer in the fields of AI. He not only is credited to be the founder of AI, but also one who coined the term Artificial Intelligence. In 1955, John McCarthy coined the term Artificial Intelligence, which he proposed in the famous Dartmouth conference in 1956. This conference attended by 10-computer scientists, saw McCarthy explore ways in which machines can learn and reason like humans.
As children we believed in magic, imagined, and a fantasy where robots would one day follow our commands, undertaking our most meager tasks and even help with our homework at the push of a button! But sadly it always seemed that these beliefs, along with the idea of self-driven aero cars and jetpacks, belonged in a future beyond our imagination or in a Hollywood Sci-fi. Would we ever get to experience the future in our lifetime? Artificial Intelligence, aka AI, made its debut in real life and became the buzz word of the 21st century, providing us with new ideas to explore and incredible possibilities. And just as we were getting used to AI we were introduced to Futuristic Learning, Deep Learning, and another term we often confuse with AI: Machine Learning (ML).
Artificial intelligence is right up there with robots taking over our jobs. This is the first in a series on how big tech like Facebook uses AI to manipulate you. The number of AI applications has increased rapidly. We speculate and marvel about what AIs will be able to do in the future. But what we don't realise is that AI has already had a huge impact on the goods and services we use every day.
TRADELABOR has more than 20 years of experience in the control and treatment of air, working with an experienced and qualified technical staff and with the most advanced technology in this area, which together guarantee the quality of the services provided. As children we believed in magic, imagined, and a fantasy where robots would one day follow our commands, undertaking our most meager tasks and even help with our homework at the push of a button! But sadly it always seemed that these beliefs, along with the idea of self-driven aero cars and jetpacks, belonged in a future beyond our imagination or in a Hollywood Sci-fi. Would we ever get to experience the future in our lifetime? Artificial Intelligence, aka AI, made its debut in real life and became the buzz word of the 21st century, providing us with new ideas to explore and incredible possibilities.
Artificial Intelligence (AI) is smart, but it could do better. The software development industry is constantly working to push algorithmic logic beyond the scope of the current computer processing envelope and create new ways for computers to'think' and emulate human beings. We have of course progressed significantly onward from the fanciful notions of AI that were characterized in the Sci-Fi movies of the 1980s. Largely as result of access to massively more powerful processors and massively larger (and eminently accessible) datasets -- and as a result of cloud computing and modern approaches to database management, we can now create an impressive amount of smartness in the AI that we now develop. But AI needs to get smarter.
The dream of creating a machine that emulates human behavior has been an obsession throughout human history. Artificial Intelligence (AI) has been in our minds for many years, since Adam's creation: "God creates him from a moldable material, programs him, and gives him the first instructions (Sánchez-Martín et al. 2007)." Even in Greek mythology with Ovid's account of Pygmalion sculpting a figure of a beautiful woman who is given life for Pygmalion to love her. In Hebrew mythology, the Golem was created with clay and animated to save the inhabitants of a Jewish city. In Norse mythology, the giant Mökkurkálfi or Mistcalf was created from clay to support the troll Hrungnir in his fight against Thor.
Brain-computer interfaces are seeing massive AI breakthroughs including neural bridges being built for learning, treatment of specific diseases and overcoming the electrical-to-biochemical language barrier. These trends are what will optimise the information bandwidth that comes with neuroscience technology. "A monkey has been able to control a computer with its brain." That almost unimaginable yet remarkably accurate observation was made by Elon Musk, author and CEO of Tesla. In his presentation, Musk switched between varying forms of "what is" to "what could be", before announcing the details surrounding Tesla Energy.
Machine learning (ML) is rapidly changing the world, from diverse types of applications and research pursued in industry and academia. Machine learning is affecting every part of our daily lives. From voice assistants using NLP and machine learning to make appointments, check our calendar and play music, to programmatic advertisements -- that are so accurate that they can predict what we will need before we even think of it. More often than not, the complexity of the scientific field of machine learning can be overwhelming, making keeping up with "what is important" a very challenging task. However, to make sure that we provide a learning path to those who seek to learn machine learning, but are new to these concepts.