MORE IDEAS FROM THEARTICLE
Very broadly, AI can be divided into two: narrow AI and general AI.
1. Narrow AI systems handle singular or limited tasks. Also referred to as weak AI sometimes, such systems have applications in email spam filtering, recommendation systems, and autonomous vehicles.
2. On the other hand, general AI or strong AI, refers to a machine’s capability to think and function as a human. It denotes the ability to distinctly recognise other intelligent entities’ needs, emotions, and thoughts.
Machine learning relies on defining behavioural rules by examining a set of data to find patterns. Since the main objective of ML is to enable machines to learn by themselves, given a set of data, it is merely a technique for realising AI.
Artificial intelligence (AI) has been around since the 1950s. The original pioneers dreamed of a computer that could perform tasks like humans, such as playing chess or translating languages. But the plans didn't come to fruition, and AI soon fell out of favour.
AI technology continued to improve exponentially over the next few decades. Many organisations now embrace AI as a core element of their business.
What is Artificial Intelligence? Who knows. It’ s an ever-moving target to define what is or isn’t AI. So, I’d like to dive into a science that’s a little more concrete — Computational Intelligence (CI). CI is a three-branched set of theories along with their design and applications. They are more mathematically rigorous and can separate you from the pack by adding to your Data Science toolbox. You may be familiar with these branches — — Neural Networks , Evolutionary Computation , and Fuzzy Systems . Diving into CI, we can talk about sophisticated algorithms that solve more complex problem
The Trades Union Congress (TUC) has warned about what it calls “huge gaps” in UK employment law over the use of artificial intelligence at work.
The TUC said workers could be “hired and fired by algorithm”, and new legal protections were needed.
Many workplaces already use automated decision making for simple tasks. For example, Uber assigns driving jobs to its drivers automatically, by computer, and Amazon is known to use AI monitoring systems to watch its staff in its warehouses.
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