Cadence Design Systems, Inc.

Institute for Systems Biology

Other

Amazon Technologies, Inc.

Andrew F Siegel

Steven L Teig

Leroy E Hood

Tom Kronmiller

Hussein Etawil

Eric A Sather

Audley Wilson

Dan Braido

Evgeny Sorkin

Trey E Ideker

Some embodiments provide a method for training a machine-trained network that includes multiple parameters. The method propagates a batch of input training items through the network to generate output values and compute values of a loss function for each of the input training items. The method computes a weight for each input training item based on the computed loss function values for each of the input training items. The method selects input training items with larger weights more often than input training items with smaller weights for subsequent batches of input training items.

Weighted selection of inputs for training machine-trained network

An apparatus for cooked food includes a spatula assembly defining a plate having a plate first end portion, a plate second end portion, a plate cooking surface and a plate non-cooking surface. The plate first end portion is pivotally in attachment with a spatula assembly cross member of the spatula assembly. The plate is configured to move between a plate upper position and a plate lower position. The apparatus further includes a movable wiper assembly defining an elongated body having a movable wiper cleaning surface along the elongated body. The movable wiper assembly is positioned proximate to the plate and configured to have the movable wiper cleaning surface move across the plate cooking surface when plate is in the plate lower position.

Apparatus and method for preparing cooked food

The invention provides a method of determining a comparative expression profile in an individual by comparing the expression levels of a sample of molecules in a population of molecules in a specimen from the individual with a health-associated reference expression region of the sample of molecules, wherein expression levels within the health-associated reference expression region indicate a reference expression profile and wherein expression levels outside the health-associated reference expression region indicate a perturbed expression profile. The invention also provides methods of diagnosing a disease or a health state in an individual by comparing the expression level of a sample of molecules in a specimen from the individual with a health-associated reference expression region of the sample of molecules.

Multiparameter analysis for predictive medicine

The invention provides a method for assigning a cellular function to a component of a biochemical system. The method involves (a) determining a multidimensional shape space for one or more components of a biochemical system in a reference state; (b) perturbing a component within said biochemical system; (c) determining a perturbed multidimensional shape space for one or more components of a pathway in said perturbed biochemical system, and (d) identifying a multidimensional coordinate point corresponding to a component of said perturbed pathway altered between reference and perturbed multidimensional shape spaces, said identified component being assigned a cellular function of said perturbed pathway.

Gene discovery for the system assignment of gene function

Some embodiments provide an analytical placement method that considers diagonal wiring. This method formulates an objective function that accounts for the use of diagonal wiring during routing. Some embodiments use horizontal, vertical, and &#xb1;45&#xb0; diagonal lines. For such a wiring model, some embodiments use the following objective function: In this equation, n represents a net, p(n) represents a unique pair of pins i and j of the net n, x and y represent the x-, and y-coordinates of a particular pin, and brepresents a weighting factor that biases the function based on the desired closeness of pins i and j.

Analytical placement method and apparatus

The invention provides a method of determining a comparative expression profile in an individual by comparing the expression levels of a sample of molecules in a population of molecules in a specimen from the individual with a health-associated reference expression region of the sample of molecules, wherein expression levels within the health-associated reference expression region indicate a reference expression profile and wherein expression levels outside the health-associated reference expression region indicate a perturbed expression profile. The invention also provides methods of diagnosing a disease or a health state in an individual by comparing the expression level of a sample of molecules in a specimen from the individual with a health-associated reference expression region of the sample of molecules. The invention additionally provides a method of classifying a population by drug responsiveness.

Methods of classifying drug responsiveness using multiparameter analysis

Some embodiments provide an analytical placement method that considers diagonal wiring. This method formulates an objective function that accounts for the use of diagonal wiring during routing. Some embodiments use horizontal, vertical, and &#xb1;45&#xb0; diagonal lines. For such a wiring model, some embodiments use the following objective function: In this equation, n represents a net, p(n) represents a unique pair of pins i and j of the net n, x and y represent the x-, and y-coordinates of a particular pin, and brepresents a weighting factor that biases the function based on the desired closeness of pins i and j, and &#x3b2; represents a smoothing parameter.

The invention is directed towards method and apparatus for representing multidimensional data. Some embodiments of the invention provide a two-layered data structure to store multidimensional data tuples that are defined in a multidimensional data space. These embodiments initially divide the multidimensional data space into a number of data regions, and create a data structure to represent this division. For each data region, these embodiments then create a hierarchical data structure to store the data tuples within each region. In some of these embodiments, the multidimensional data tuples are spatial data tuples that represent spatial or geometric objects, such as points, lines, polygons, regions, surfaces, volumes, etc. For instance, some embodiments use the two-layered data structure of the invention to store data relating to geometric objects (such as rectangles) that represent interconnect lines of an IC in an IC design layout.

Method and apparatus for representing multidimensional data

The mechanism is directed towards method and apparatus for representing multidimensional data. Some embodiments of the invention provide a two-layered data structure to store multidimensional data tuples that are defined in a multidimensional data space. These embodiments initially divide the multidimensional data space into a number of data regions, and create a data structure to represent this division. For each data region, these embodiments then create a hierarchical data structure to store the data tuples within each region. In some of these embodiments, the multidimensional data tuples are spatial data tuples that represent spatial or geometric objects, such as points, lines, polygons, regions, surfaces, volumes, etc. For instance, some embodiments use the two-layered data structure of the invention to store data relating to geometric objects (such as rectangles) that represent interconnect lines of an IC in an IC design layout.

Growing community of inventors

Shoreline, WA, United States of America

Andrew F Siegel