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Artificial Intelligence: Is AI-Authored Code Any Good?
Researchers have taught AI to write software. OpenAI’s Codex has been the first AI model which has exceled in being able to write software based on a natural language prompt or problem description. Codex is able to generate code in…
Artificial Intelligence: Teaching Algorithms to Unlearn
It’s important to be able to unlearn. This can be true about bad personal habits, but we’re talking here about trained AI algorithms. More frequently there are requirements for trained AI algorithm to unlearn specific data because the particular data…
Neural Algorithmic Reasoning: An Approach for Solving Messy Real-World Problems with Algorithmic Elegance
The use of neural networks in AI research have led to very impressive results which include: Image classification and identification – figuring out what objects are in an image Generation of text that can be written in a certain style…
Artificial Intelligence: Accurate Modeling isn’t possible without Data Quality
Data quality is one of the most important parameters needed in deriving useful answers from Big Data, Data Analytics, Business Intelligence, and AI algorithms, but it is often considered as ‘operational’ and doesn’t get the attention that it rightfully deserves.…
Reservoir Computing: Turbocharging Neural Networks for Large-Scale Simulations
Combining nonlinear system analysis with recurrent neural network theory is an advanced area of AI called Reservoir Computing. It’s a mchine learning algoithm that has been used since the early 2000’s and often applied to solving otherwise intractable problems. While…