Artificial intelligence research is failing to produce true intelligence in spite of enormous resources. The reason is that programming is unavoidable for data processing and so there is no way to replace an user. In addition, because of data deluge problem, it is impossible to analyze all data as conventional information. Hardware inspired by prime metric is provided, where a metric of artificial intelligence is built in which unknown random events are linked as a changing geometric shape. All information is converted such that layered geometric shapes clocking in a pattern or event becomes unit of information, not insignificant bits. All complex events are considered as a single point to go ahead on building higher level geometric shapes as part of a time crystal following prime metric.

The present invention relates to an apparatus (12) for processing information by evaluating randomly moving tokens corresponding to particles or quasiparticles, comprising: an input interface (20) for receiving an input signal; a carrier (22) for supporting a plurality of pathways (30) for the randomly moving tokens and at least one join (32) for connecting two pathways and for permitting a passing of a first token in a first pathway of the two connected pathways through the join upon presence of a second token from a second pathway of the two connected pathways in the join; an insertion unit (24) for inserting tokens into the pathways based on the input signal; an excitation unit (26) for applying a stimulus to a token in at least one pathway of the plurality of pathways, said stimulus acting to increase the random movement of the token in a direction substantially parallel to the carrier; and an output unit (28) for providing an output signal based on a location of at least one token after a predefined or dynamically adjusted time period. The present invention further relates to a sensor system (10) for detecting a physical phenomenn in an enviromnent.

Provided herein are compositions, devices, systems and methods for generation and use of biomolecule-based information for storage. Further provided are devices comprising addressable electrodes controlling polynucleotide synthesis (deprotection, extension, or cleavage, etc.) The compositions, devices, systems and methods described herein provide improved storage, density, and retrieval of biomolecule-based information.

A method of machining a cellular core (14) includes mounting the core (14) atop a table (12) in a multi-axis Computerized Numerical Controlled (CNC) machine (10). The machine (10) is operated to self-scan the core (14) and self-recognize individual cells (30) arranged laterally in columns and longitudinally in rows. A machining path (E) is self-generated from the pre-recognized cells (30), and the core (14) is then machined along the self-generated machining path (E).

A method of machining a cellular core (14) includes mounting the core (14) atop a table (12) in a multi-axis Computerized Numerical Controlled (CNC) machine (10). The machine (10) is operated to self-scan the core (14) and self-recognize individual cells (30) arranged laterally in columns and longitudinally in rows. A machining path (E) is self-generated from the pre-recognized cells (30), and the core (14) is then machined along the self-generated machining path (E).

Provided herein are compositions, devices, systems and methods for generation and use of biomolecule-based information for storage. Further provided are devices-having addressable electrodes controlling polynucleotide synthesis (deprotection, extension, or cleavage, etc.) The compositions, devices, systems and methods described herein provide improved storage, density, and retrieval of biomolecule-based information.

Provided herein are compositions, devices, systems and methods for generation and use of biomolecule-based information for storage. Further provided are devices-having addressable electrodes controlling polynucleotide synthesis (deprotection, extension, or cleavage, etc.) The compositions, devices, systems and methods described herein provide improved storage, density, and retrieval of biomolecule-based information.

A new linear machine learning method based on DNA hybridization reaction technology, includes a machine learning training part, an algorithm part, and a testing part. This machine learning method has the ability to learn linear functions. Unlike silicon circuits, the learning algorithm is implemented through the synchronization of DNA hybridization reactions. Therefore, the calculation mode of this machine learning method is a parallel computing model, and the weights of this machine learning are obtained through training without the involvement of electronic computers. Through the method, it is possible to learn multivariable linear functions without any limitation on the number of input terms. Due to the non-negative DNA concentration, the method used a dual track model for negative data processing operations.

The invention provides the uses of chemical waste and byproducts in a chemical library to store digital information, and methods for computing with unknown waste chemicals by encoding digital data into a plurality of chemicals to obtain a dataset; translating the dataset into a chemical form; reading the data set; querying the dataset by performing an operation to obtain a perceptron; and analyzing the perceptron for identifying change in at least one of the chemicals, thereby developing a chemical computational language. The invention demonstrates a workflow for representing abstract data in synthetic metabolomes. Also presented are several demonstrations of kilobyte-scale image data sets stored in synthetic metabolomes, recovered at >99% accuracy.

Data encodable polymers, including nucleic polymers, for data storage and related methods are described. Generally, a nucleic acid polymer can have chemically modifiable structures iteratively repeated along the polymer. The chemically modifiable structures can be modified to encode data. A data encoding device can have a spatial resolution that modifies a string of contiguous chemically modifiable structures to yield a cluster of modified structures. Various methods can be utilized to generate a data encodable nucleic acid polymer. Various methods can be utilized to encode a data encodable nucleic acid polymer. Various methods of decoding can be utilized to decode an encoded nucleic acid or other polymer.