In addition to applications in finance, marketing, entertainment, business, social media, advertising, agriculture, and many other industries, the application of Al has revolutionised the world, making it easier for people to contact friends, send emails, and ride a ride-sharing app.
Everyone knows it is impossible to predict the future, but not a lot of people pause to wonder why. Even putting aside the issue of free choice, it isn't straightforward. After all, Isaac Newton's laws of motion can be used to calculate what any object will do if we know its starting trajectory and the forces acting on it. French thinker Pierre-Simon Laplace once imagined being armed with these laws and a lot of information, writing that "for such an intellect, nothing would be uncertain and the future, just like the past, would be present before its eyes".
The reason the world still unfolds in a cascade of the unexpected is that there is a difference between what equations can predict in every situation and what it is possible to calculate.
Limits of AI
Al's three biggest limits are:
(1) Al can only be as smart or effective and depends upon the quality of data provided.
(2) It is algorithmic based.
(3) It's "black box" nature.
US government lab is using GPT-3 to analyse research papers
"There is a line of sight to the time when we will have research assistants that are Als that have access to incredible amounts of information," John Dagdelen, Chief Al scientist, Lawrence Berkeley National Laboratory in California.
A tool built using the Al behind ChatGPT can help extract information from scientific paper abstracts. It could help researchers identify important information across thousands of articles.
この記事は Scientific India の January - February 2023 版に掲載されています。
7 日間の Magzter GOLD 無料トライアルを開始して、何千もの厳選されたプレミアム ストーリー、9,000 以上の雑誌や新聞にアクセスしてください。
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この記事は Scientific India の January - February 2023 版に掲載されています。
7 日間の Magzter GOLD 無料トライアルを開始して、何千もの厳選されたプレミアム ストーリー、9,000 以上の雑誌や新聞にアクセスしてください。
すでに購読者です? サインイン
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