27 March, 2017

Effective tool for scalable algorithm design

The March edition of the Big Data Institute (BDI) seminar series had the honor to have Dr. Forrest Fabian Jesse, Director of Beijing Xixuan Laboratory, Beijing Jiaotong University, giving a talk titled “The Biological Internet” on March 27.

The topic Dr. Fabian explored, Biological Internet, does not actually exist. This biological internet may follow from the current path of technological development and the physical model of information exchange. He mainly covered human-machine interaction, computation, and neuron activity throughout his talk.

Transferring information and intent between the mind and computation systems is a topic in modern societies. To date, formats for direct information transfer between minds and other computational structures are unformalized. Such transfer remains a formative research topic. The fidelity with which information and intent can currently be sensed, stored and transferred is low when biological signals are the source of information.

Investigation to identify the limits of information transfer for humans is required to form a basis for human computer interaction. A common representation of information transfer between biological systems and non-biological computing systems is required to allow engineering of such transfer.

For the purposes of information exchange, conscious interaction, and computation in people, the neuronal level of detail in animals is known to be a central control center for the organism. Modifying the conditions of the nervous system in clinical and experimental contexts is known to modify animal behavior and so organism-environment interaction.

The neural scale of thermodynamic exchange can be reported consciously by people, and so allows an interface between the internal computation performed by an individual organism, and the environment. This bridge is explored in the fields of psychology and behavior research, where conscious reporting via the nervous system through symbolic communication is a primary data source. This bridge in some professions is called human-computer interaction (HCI) and a subtopic is refined as brain-computer interface (BCI).

Human interaction and human-computer interaction occurs through the entirety of the physical world, and is quantified on many theory bases, including neurobiology and the standard model of physics. The field of human computer interaction includes investigation of how people interact with computation systems, and the basis of this is neurobiology, computation, and information theory.

Computational systems now direct a vast amount of the world economy and influence large spans of human activity. The bridge between people, and these systems then becomes critical. Dr. Fabian discussed about the bridge, as it grows between people and peers and their society, between people and their economy, and soon memory and history.

Dr. Forrest Fabian Jesse is a researcher in human-machine interface and the development of the biological internet. His experimental work focuses on control of biological neuron circuit growth and information processing, free-space neural interface, and mediated reality (AR/VR). Dr. Jesse developed one of the first camera glasses life recording systems (Portable Film) and one of the world’s first laser based wearable augmented reality systems (Portable Road).

His theoretical focus is context invariant computation, which gives the physical basis for information transfer between computer systems and people. The centerpiece of this computation theory is context invariant NOR. He is the director of Xixuan laboratory in Beijing.