Smart technology, artificial intelligence and machine learning are grabbing headlines every day, and those familiar buzzwords are now inescapable.
Algorithms are being enhanced and scientists are coming up with new ways to train and teach these models.
According to VentureBeat, machine learning is also shaping business and society.
The publication spoke to five leading artificial intelligence experts for their input on what we’d see happen in machine learning in the new year.
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PyTorch creator Soumith Chintala, University of California professor Celeste Kidd, Google AI chief Jeff Dean, Nvidia director of machine learning research Anima Anandkumar, and IBM Research director Dario Gil said great strides were made in several fields in 2019, like natural language-based models and reinforcement learning, but the five AI experts were essentially unanimous in predicting an even more exciting 2020.
With algorithms becoming more accurate, AI scientists are now hoping to evolve the technology to make it seem as human as possible.
One even advocated for a more equitable and inclusive industry, which in turn will help build a more socially responsible AI.
According to VentureBeat, the experts highlighted:
- Advances in in natural language models and variations of Transformer-based model
- Valuing model outputs beyond accuracy, like the amount of energy it takes to create a model, how output can be explained and how the technology mirrors the kind of society people want.
- Semi-supervised learning, a neural symbolic approach to machine learning and subfields like multitask and multimodal learning
- Ethical challenges in biometric data such as speech recordings and facial recognition will continue to be controversial
- Quantization and other compilers and approaches could grow in popularity for machine learning frameworks like PyTorch and TensorFlow to optimize model performance
We’re well past the school of thought that AI will soon have an impact on society. It already is, and 2020 will bring another year of humans coexisting with machines.
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