Human Computer Symbiosis
Humans have the capacity to mind read – to make efficient and accurate inferences about the hidden mental states of others. This ability is fundamental to empathy and social understanding, which underlies our ability to “connect” with others. Although we increasingly rely on computers to perform many important tasks, these devices notoriously lack social and emotional intelligence, which limits the ability of humans to interact with computers in adaptive and socially meaningful ways.
Our goal is to shape the future of computing and foster a symbiotic relationship between computers and human users. Our research team has a unique blend of expertise in cognitive neuroscience, functional brain-imaging, behavioral psychology, computer vision, and the development of biologically plausible models of vision and neuromodulatory systems in the human brain. We are dedicated to pushing the boundaries of knowledge by leveraging the best methods and tools from these fields in our research and product development.
We seek to break down the barrier between man and machine by establishing a direct link between human thoughts and feelings and the computer system. Our foundational principle is that the human eye provides a direct route to understanding the inner workings of the mind, an idea that finds support in decades of basic research. Our state-of-the-art software is designed to make reliable probabilistic inference on the thoughts and feelings of a human user in real-time through information collected non-invasively from the human eye. An emotional intelligence engine (EIE) processes the data to produce a comprehensive and actionable estimation of the user’s internal mental state, to serve as input to intelligent and dynamic computer applications.
For the first time, computers will have the capacity for intuitive emotional intelligence, allowing the system to adapt moment by moment to the needs and goals of the end user. This ability will help to maximize productivity and user satisfaction, for instance, by understanding human needs and behaviors in real-time, anticipating human error, helping humans and computers to work intelligently toward a common goal, and alerting users or remote monitors to changes in mental state that might be detrimental to the task at hand. We expect a burgeoning market for this new technology, with immediate applications in medicine, defense, aviation, and various consumer products.
DNA computing refers to storing, processing, and logical data operating on the DNA instead of the conventional silicon-based computers. The advantage of this technique is that it offers a huge capability of data storage, millions of millions of parallel processing, its compatibility with the body, its energy efficiency just like organic plants where the ATP enzyme is used to power the machine (recycled by heat and sugar), and the ability to control the cellular behavior. The DNA itself is responsible for the storage utilizing the four key molecules: cytosine (C), guanine (G), adenine (A), or thymine (T). The sequencing architecture of these molecules are responsible for the data stored in the DNA which is similar to 1 and 0 on the silicon computers. A DNA computer with only a liter of fluid composed 6 grams of DNA has a memory of 3072 exabytes. Moreover, the data transfer speed is huge because of the multiprocess approach happening inside the DNA based on the nature of the DNA (millions of molecular processing, enormous amount of molecules interact with each other at the same time). Also, these four molecules are responsible for data processing in which different DNA fragments are created and the binding of these fragments through chemical reactions.
There are multiple applications for this type of the computations. For instance, it can be utilized as an alternative for the silicon-based computers where the technology fails to accommodate for more transistors according to the Moore’s law. Also, this computer can be implemented in solving unsolvable biological, quantum, and chemical problems by comparing all possible solutions at once and using an efficient DNA programming language. Moreover, this computer have applications for therapeutic purposes such as cancer detection, finding the appropriate drug, and also change the cellular motility and reprograming the cellular behavior.