Our Products
Personalized Digital-SmartCard devices enabled for virtual “service-assist” to access knowledge in multi-modal service networks; and offline secured detection
Our Applications
Render Choice-set and Rewards with reasoning and inferences on cognitive framework that derives forecasts, optimization, options and knowledge
Our Research
One-of-a-kind industry-focused inter-disciplinary research-academy for data science, machine learning and computing – be a Fellow of Design Sciences
What machines learn from Dick Fosbury and his revolutionary Fosbury flop – the technique that Fosbury had developed alone over years transformed the high-jump forever
How machines learn humans, their states, actions, responses and derive choice-rewards in imperfect and incomplete information conditions using neural networks and projections
Why machines learn birds gather in flocks in a dazzling cloud, swirling, pulsating, drawing together to the thinnest of waists, then wildly twisting in a disordered system?
…. all living species carry a language-independent system of acquiring knowledge and capability through pattern recognition, likelihood and memory organization – recorded in sequence and subsequence of experiences – to initiate continuous actions; and use that knowledge and capability to discover new knowledge, reasoning and inferences through acquisition of symbolic as well as situated learning
Storytelling is central to science, not just as a tool for broadcasting scientific findings to the outside world, but also as a way that we as scientists understand and evaluate theories. We argue that, for this purpose, a story should be anomalous and immutable; that is, it should be surprising, representing some aspect of reality that is not well explained by existing models of the world, and have details that stand up to scrutiny
It is not the electrical signalling game of flowers to trick bees or between plants and pollinators, we place learning into a hypothetico-deductive framework that illuminates stories in cognitive science and how it helps answer optimization and, therefore, inference puzzles; and why the best alternative stories have the feature that, in these stories, our “real world” ends up as the deeper truth. This has direct impacts for our work as statisticians and trainers
Our research studies and patents, thus far, are independently-funded, i.e., not funded by any government, publicly-funded organizations or academic institutions
We invite talents – scientists, researchers, creative thinkers, engineers, digital artists, marketing, etc. – to join us through Simon-Erdős School of Design Sciences