Aiming for a clear and accountable AI future? View the discussion we had with InPeak on deep learning’s “blackbox problem,” where decision-making processes remain unclear. This episode goes beyond technology, touching on trust and accountability in AI systems. We explore its significance and highlight solutions, including the use of evolutionary computation which is the foundation…

ElasticNet is a popular regression library (the most commonly used implementation can be found here) that, until recently, lacked a .NET implementation. That lack, coupled with the absence of a GPU-based library, significantly limited the scope of potential ElasticNet library users. Now, thanks to Griffin Perry of Perceiver AI, who completed the alpha of a…

In this blog, we will review how Perceiver AI performs in finding solutions as compared to other data science tools, specifically, the solution for the sum of n numbers problem. We will compare Perceiver against TensorFlow, a deep learning software library for machine learning and AI applications, to see how the two techniques perform with…

Our CEO Howie Altman had the pleasure to be a guest on Innodata’s Podcast Absolute AI. They had an excellent conversation about genetic programming and how we at Perceiver AI have solved the previously intractable problems with the approach using our patent pending solutions. There is enormous potential for solving the world’s toughest problems that cannot be…

A recent Zoom webinar sponsored by Bernstein and Perceiver AI, entitled Advanced Artificial Intelligence and Latest Trends: The Present and Future of AI, featured a number of leading thinkers in the field of AI. Included in the event were Bernstein Research Senior Vice President Mark Moerdler, Perceiver AI executives Howie Altman, CEO, and Milton Hernandez,…