Artificial intelligence is already helping doctors to diagnose radiology, in practical terms. Some experimental systems can detect tumors in mammograms years before the eye is able to see them. AI is also used in laboratories to create or simulate new drugs or accelerate genetic analysis.
Artificial neural networks in agriculture can be used to predict weather and analyze soil, as well as create new materials. In Berkeley, USA, an AI automated laboratory was able to create dozens of new materials previously unknown from existing samples, as reported by our colleagues in Sciences et Avenir , in a 70-page issue of a special edition on artificial intelligence.
Let’s remember that if AI goes fast, it understands nothing
There are many critics of the scientific revolution. Geoffrey is the first. E Hinton is the 2024 Nobel Prize in Physics and the pioneer of artificial intelligent. He warns humanity of possible overreach of machine learning systems that he created. AI brings up questions regarding the creation of false data, intellectual property rights and the energy consumption of the technologies. AI data centers, technical support and other AI-related services already account for around 2% (or less) of global electricity consumption.
Remember that AI is fast but it does not understand. Human intelligence is augmented. In its December issue of the British Medical Journal , published this interesting experiment: Researchers put AIs to a medical benchmark test that is used by doctors to determine brain aging. This study showed chatbots can show early signs cognitive decline. AIs had difficulty putting letters or numbers in the right order or recalling five words. Also, they were less adept than humans at identifying shapes and navigating in space. This is further proof that artificial brains will not replace humans.
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