International Business Machines Corporation

Abhishek Bansal

Nitin Kumar Gupta

Brad Lee Herold

Jayakumar N Sankarannair

Vikas Raykar

Nupur Aggarwal

Padmanabha Venkatagiri Seshadri

Raghavendra Singh

Kedar Kulkarni

Satyam Dwivedi

Sumanta Mukherjee

Ayushi Dalmia

Kushagra Manglik

One embodiment provides a method, including: receiving information for each of a plurality of products; for each of the plurality of products: predicting a demand for the product; calculating a sustainability score, wherein the sustainability score is based upon a material composition of the product; and computing a similarity score, wherein the computing comprises comparing pairs of products within the plurality of products; generating a plurality of assortment choices from the plurality of products, wherein each of the plurality of assortment choices has a corresponding assortment demand value, assortment sustainability score, and assortment similarity score, wherein the generating comprises utilizing a multi-objective formulation based upon the predicted demand, the calculated sustainability score, and the computed similarity score; and providing the plurality of assortment choices to a user for selection.

Retail product assortment generation and recommendation

One embodiment provides a method, including: accessing, at an information handling device, a dynamic visual media corpus, wherein the dynamic visual media corpus comprises a plurality of dynamic visual media scripts; segmenting each of the plurality of dynamic visual media scripts into scenes; generating, for each of the plurality of dynamic visual media scripts, a character fingerprint identifying topics corresponding to each character within a corresponding dynamic visual media script, wherein the generating comprises (i) extracting both characters and topics from the dynamic visual media script and (ii) associating each of the topics with a corresponding character, wherein the character fingerprint identifies costumes of a given character and a topic corresponding to each costume; and producing, for each scene within each dynamic visual media script, a scene vector identifying (iii) the topics included within a corresponding scene and (iv) a character fingerprint for each character occurring within the scene.

Automated costume design from dynamic visual media

Methods, systems, and computer program products for generating search determinations for assortment planning and buying using visual sketches are provided herein. A computer-implemented method includes processing a query image by identifying one or more visual features in the query image and applying at least one nearest neighbor algorithm to the one or more identified visual features; identifying, from one or more databases, multiple images based at least in part on the processing; generating a result set by applying one or more smoothing algorithms to the multiple identified images; generating at least one sketch based at least in part on the result set; and outputting the at least one generated sketch to one or more users via a user interface.

Generating search determinations for assortment planning using visual sketches

A process for processor testing includes dividing a memory space into first and second portions and generating first and second sets of test instructions for the respective first and second portion. The first and second sets each include a plurality of counter increment/branch instruction pairs where each branch instruction of the first set branches to a backward instruction location and each branch instruction of the second set branches to a forward instruction location.

Processor testing using pairs of counter incrementing and branch instructions

A process for processor testing includes generating a set of test instructions having a first portion and a second portion. A first branch instruction is randomly generated for the first portion where the first branch instruction branches to a respective instruction in a second portion by a branching location offset. A second branch instruction is randomly generated for the second portion where the second branch instruction branches to a respective instruction in the first portion by the branching location offset. If additional instructions are to be added to the set of test instructions, a value of the branching location offset is incrementing by a predetermined amount.

Processor testing using randomly generated branch instructions

Processors may be tested according to various implementations. In one general implementation, a process for processor testing may include randomly generating a first plurality of branch instructions for a first portion of an instruction set, each branch instruction in the first portion branching to a respective instruction in a second portion of the instruction set. The process may also include randomly generating a second plurality of branch instructions for the second portion of the instruction set, each branch instruction in the second portion branching to a respective instruction in the first portion of the instruction set. The process may additionally include generating a plurality of instructions to increment a counter when each branch instruction is encountered during execution.

Processor testing

Processors may be tested according to various implementations. In one general implementation, a process for processor testing may include randomly generating a first plurality of branch instructions for a first portion of an instruction set, each branch instruction in the first portion branching to a respective instruction in a second portion of the instruction set, the branching of the branch instructions to the respective instructions being arranged in a sequential manner. The process may also include randomly generating a second plurality of branch instructions for the second portion of the instruction set, each branch instruction in the second portion branching to a respective instruction in the first portion of the instruction set, the branching of the branch instructions to the respective instructions being arranged in a sequential manner. The process may additionally include generating a plurality of instructions to increment a counter when each branch instruction is encountered during execution.

In one implementation, processor testing may include the ability to randomly generate a first plurality of branch instructions for a first portion of an instruction set, each branch instruction in the first portion branching to a respective instruction in a second portion of the instruction set, the branching of the branch instructions to the respective instructions being arranged in a sequential manner. Processor testing may also include the ability to randomly generate a second plurality of branch instructions for the second portion of the instruction set, each branch instruction in the second portion branching to a respective instruction in the first portion of the instruction set, the branching of the branch instructions to the respective instructions being arranged in a sequential manner. Processor testing may additionally include the ability to generate a plurality of instructions to increment a counter when each branch instruction is encountered during execution.

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Bengaluru, India

Abhishek Bansal