Cutting-edge technology represents the forefront of innovation, embodying the latest advancements that push the boundaries of what is possible in various fields. It encompasses breakthroughs in artificial intelligence, quantum computing, biotechnology, and more, fundamentally transforming the way we live and work. In the realm of artificial intelligence, machine learning algorithms and neural networks are enabling computers to learn and make decisions, mimicking human cognitive functions. Quantum computing, with its ability to process information at speeds unimaginable with classical computers, holds the promise of revolutionizing complex problem-solving in fields like cryptography and optimization. Biotechnology is unlocking new frontiers in healthcare, with gene editing technologies like CRISPR-Cas9 offering unprecedented precision in modifying DNA, potentially curing genetic diseases. Cutting-edge technology also extends to the realm of renewable energy, where innovations in solar a...
Back in the 1950s, the fathers of the field, Minsky and McCarthy, described artificial intelligence as any task performed by a machine that would have previously been considered to require human intelligence.
That's obviously a fairly broad definition, which is why you will sometimes see arguments over whether something is truly AI or not.
Modern definitions of what it means to create intelligence are more specific. Francois Chollet, an AI researcher at Google and creator of the machine-learning software library Keras, has said intelligence is tied to a system's ability to adapt and improvise in a new environment, to generalise its knowledge and apply it to unfamiliar scenarios.
"Intelligence is the efficiency with which you acquire new skills at tasks you didn't previously prepare for," he said.
"Intelligence is not skill itself; it's not what you can do; it's how well and how efficiently you can learn new things."
It's a definition under which modern AI-powered systems, such as virtual assistants, would be characterised as having demonstrated 'narrow AI', the ability to generalise their training when carrying out a limited set of tasks, such as speech recognition or computer vision.
Typically, AI systems demonstrate at least some of the following behaviours associated with human intelligence: planning, learning, reasoning, problem-solving, knowledge representation, perception, motion, and manipulation and, to a lesser extent, social intelligence and creativity.
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An executive guide to artificial intelligence
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