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The breakthrough of machine learning — neuralnetworks running on GPUs — jump-started the era of Software 2.0. The global market for humanoid robots is expected to reach $38 billion by 2035, a more than sixfold increase from the roughly $6 billion for the period forecast nearly two years ago, according to Goldman Sachs.
These models mimic the human brain’s neuralnetworks, making them highly effective for image recognition, natural language processing, and predictive analytics. billion by 2035 at a CAGR of 18.3% , the Deep Learning industry is set to revolutionise healthcare, finance, retail, and beyond. billion in 2025 to USD 34.5
At the core of this revolution is the use of neuralnetworks to create versatile robotic “brains” that enable robots to tackle various tasks much like humans do. According to Goldman Sachs, the total addressable market for humanoid robots is expected to reach $38 billion by 2035.
It makes use of a large data set of images and videos of a person to train the neuralnetworks. According to a study by Accenture, using AI will boost productivity by 40% by 2035. These videos use deep learning algorithms to create a realistic but fake image of videos or people. trillion to the global economy.
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