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.
Artificial intelligence is advancing various industries, including healthcare and the pharmaceutical industry. According to Accenture data, key clinical health AI applications can potentially create $150 billion in annual savings for the United States healthcare sector by 2026.
With a ground-breaking AlphaStar beating human champions in Starcraft II, January kickstarted 2019 AI-related research and activities.
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.
“Trend” is a larger development than a particular advancement. Here are five of the most significant and inspiring IA trends to watch in 2019.
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 giants. Stories from November show that AI is clearly a great tool […]