March saw some major events concerning top figures of the ML world, including OpenAI, Yann LeCun, Geoffrey Hinton and Yoshua Bengio.
Are supercomputers really necessary for everyone to take advantage of the AI revolution?
February came with the groundbreaking event of building a new state-of-the-art natural language processing neural network
With social media users numbering in the billions, coming from various backgrounds to today’s wildly popular platforms, a space for hate speech has emerged.
December brought both year-end summaries and impressive research work pushing the boundaries of AI.
Just imagine what your business could do if it recouped 6500 man-hours annually. Or a power supply savings comparable to all the Austin, TX usage?
Demand forecasting is done by analyzing statistical data and looking for patterns and correlations. Machine learning takes the practice to a higher level.
November brought a lot of significant AI-related breaking news. Machine learning and deep learning models were folding proteins, deriving the laws of physics from fictional universes and mimicking the human brain in a way never before seen. This edition of AI Monthly digest looks at scientific improvements made by AI with significant support from tech […]
Among both traditional carmakers and cutting-edge tech behemoths, there is massive competition to bring autonomous vehicles to market.
Fake images of hamburgers, the autonomous trolley problem, BERT for NLP and more stories from October, curated by deepsense.ai’s team, right here in AI Monthly Digest.