Major developments continue to take place in the artificial intelligence industry. Facebooks Jerome Pesenti thinks the current model of deep learning is reaching its limits, however.<\/p>\n
Dozens of companies are in the process of exploring the potential of artificial intelligence.<\/p>\n
Virtually all of these companies have scientists and engineers pushing the boundaries of deep learning.<\/p>\n
The development of new algorithms has allowed for some intriguing insights and developments over the years.<\/p>\n
Unfortunately it would appear that the current strategy involving deep learning may hit a glass ceiling sooner rather than later.<\/p>\n
Those are the findings of Jerome Pesenti, head of artificial intelligence at Facebook.<\/p>\n
In a recent interview with Wired, Pesenti acknowledges how deep learning and current artificial intelligence have severe limitations.<\/p>\n
Achieving human intelligence, while still an attainable goal, will not happen any time soon.<\/p>\n
Thankfully, there is still progress being made to address some limitations.<\/p>\n
Taking into account how the artificial intelligence space is still evolving and growing in 2019, there are still millions of options left unexplored.<\/p>\n
One aspect no one can ignore is how the compute power required to research advanced AI continues to increase twofold every three years or so.<\/p>\n
Pesenti confirms this problem exists, and highlights the need for scaling if any more progress is to be made.<\/p>\n
At the same time, he is convinced the rate of progress for advanced artificial intelligence is not sustainable through this model.<\/p>\n
Rising costs make it rather unattractive to conduct these levels of experiments today.<\/p>\n
Image(s): Shutterstock.com<\/p>\n
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