Harvard College

Purdue Research Foundation

Midea Group Co., Ltd.

Biopharmx, Inc.

Atila Biosystems Incorporated

The University of Texas System

Massachusetts Institute of Technology

Kwai Inc.

Xin Chen

Shimon Y Nof

George M Whitesides

Hua Zhou

Naoki Watanabe

Robert F Shepherd

Stephen A Morin

Noymi Yam

Adam Stokes

Douglas W Thomas

Youxiang Wang

Zhihong Nie

Diana Lac

Maiko C Hermsmeier

Zhijie Yang

Dongyan Wang

Prsnesh B Aswath

Ramses V Martinez

Sen Wai Kwok

Filip Ilievski

Aaron D Mazzeo

Yu Zhao

Won Jae Choi

Rong Wang

Yang Liu

Ronald L Elsenbaumer

Daniela Rus

Lingzhi Liu

Zhen Peng

Yongxiong Ren

Andres W Martinez

Zhicai Ou

Jacob Freake

Max Narovlyansky

Yu Zhu

Malcolm Whitman

Yuxiang Gao

Cagdas Denizel Onal

Maria Amaya Igartua

Francesco Pagano

Wolfgang Binder

Parvin Zare

Nicole Doerr

Vibhu Sharma

Rui Nunes

Ludovico Cademartiri

Christian Nijhuis

Rubao Ma

Jishen Yang

Hanxian Huang

A method of supervising a complex system includes acquiring and storing failures data and repair resources information regarding the complex system, identifying failure networks and structures of the complex system. Failure types associated with the failure networks of the complex system are determined. The method includes generating a plurality of failure prevention and repair (FPR) sequences, wherein each FPR is associated with the failure networks and the failure types. The generated FPR sequences are analyzed to select a set of FPR sequences and associated repair resources. The method further comprises applying the selected one of the plurality of failure prevention and repair sequences to the complex system, thereby managing the complex system.

Efficient fault prevention and repair in complex systems

A method, apparatus, and a non-transitory computer-readable storage medium for generating heterogenous platform code. The method may obtain a neural network model. The neural network model may be programed to run on at least one platform. The method may also obtain an initial intermediate representation (IR) code by encoding the neural network model, and obtain a target IR code by adding decorations to the initial IR code based on a target platform. The method may also output an executable code optimized to run on the target platform by decoding the target IR code.

Multi-level intermediate representation decoder for heterogeneous platforms

The invention provides methods of digital amplification using primers of limited nucleotide composition. Limited nucleotide composition means that the primers are underrepresented in at least one nucleotide type. Such primers have much reduced capacity to prime from each other or to extend initiated by mispriming from other than at their intended primer binding sites in a target nucleic acid.

Digital amplification with primers of limited nucleotide composition

An air conditioning system includes one or more cameras, one or more air conditioning operation units, and an air conditioner control unit that obtains, via the one or more cameras, images of a surrounding environment of the air conditioning operation units, and determines a first set of factors, including a layout of the surrounding environment, based on analysis of the images through predefined machine learning models. The control unit, in accordance with the first set of factors that has been determined based on the analysis of the images through the predefined machine learning models, selects a first operation profile from a plurality of predefined operation profiles to control the air conditioning operation units.

Method and system for providing air conditioning

The present disclosure provides compositions, methods and kits for Omega amplification technologies. In addition, the present disclosure provides compositions, methods and kits for universal FQ probe and for G-quadruplex detection methods for use in isothermal amplification technologies.

Omega amplification

The invention provides methods of amplification from a single primer or a pair of forward and reverse primers of limited nucleotide composition. Limited nucleotide composition means that the primers are underrepresented in at least one nucleotide type. Such primers have much reduced capacity to prime from each other or to extend initiated by mispriming from other than at their intended primer binding sites in a target nucleic acid.

Amplification with primers of limited nucleotide composition

Provided herein is a topical composition and related methods for making and using the composition. In a first aspect, the topical composition comprises minocycline, a magnesium salt, and a sulfite compound in a non-aqueous solvent. In yet another aspect, the topical composition comprises a tetracycline-class drug, a source of magnesium, a monohydric aliphatic alcohol, and a polyol, wherein (i) the ratio between the monohydric aliphatic alcohol and the propylene glycol is in the range of 1:1 to 99:1 by weight and (ii) the tetracycline-class drug is dissolved in the topical composition.

Pharmaceutical tetracycline composition for dermatological use

A face recognition system of a residential environment identifies an individual present in the residential environment. The residential environment include a plurality of home devices and is associated with a group of different persons. The face recognition system identifies which person in the group is the individual and generate an operating instruction for a home device based on identity of the individual. For example, the face recognition system captures an image set of the individual's head and face and applies the image set to a machine learning model that is trained to distinguish between the different persons based on images of their heads and faces. The face recognition system can retrieve a personal profile of the identified individual, which includes settings of the home device for the identified individual. The face recognition system generates the operating instruction based on the personal profile.

Face recognition in a residential environment

Laundry appliances use machine learning models and/or personalization to provide better treatments. As one example, a laundry appliance has a chamber in which laundry items are placed for treatment. Sensor(s) are positioned to sense contents of the chamber or to sense the laundry items as they are loaded into the chamber. The machine learning model uses data from these sensors to determine various attributes of the laundry items and/or the treatment, such as the type of fabric and/or how dirty the items are, and the treatment process is controlled accordingly. Personalized data, such as an individual's preferences for laundry treatments or his sensitivities and allergies, may also be used to personalize the treatment process.

Personalized laundry appliance

Methods for interactively preventing and detecting conflicts and errors (CEs) through prognostics and diagnostics. Centralized and Decentralized Conflict and Error Prevention and Detection (CEPD) Logic is developed for prognostics and diagnostics over three types of real-world constraint networks: random networks (RN), scale-free networks (SFN), and Bose-Einstein condensation networks (BECN). A method is provided for selecting an appropriate CEPD algorithm from a plurality of algorithms having either centralized or decentralized CEPD logic, based on analysis of the characteristics of the CEPD algorithms and the characteristics of the constraint network.

Interactive, constraint-network prognostics and diagnostics to control errors and conflicts (IPDN)

A soft robotic device includes a flexible body having a width, a length and a thickness, wherein the thickness is at least 1 mm, the flexible body having at least one channel disposed within the flexible body, the channel defined by upper, lower and side walls, wherein at least one wall is strain limiting; and a pressurizing inlet in fluid communication with the at least one channel, the at least one channel positioned and arranged such that the wall opposite the strain limiting wall preferentially expands when the soft robotic device is pressurized through the inlet.

Soft robotic actuators

Systems and methods for providing a soft robot is provided. In one system, a robotic device includes a flexible body having a fluid chamber, where a portion of the flexible body includes an elastically extensible material and a portion of the flexible body is strain limiting relative to the elastically extensible material. The robotic device can further include a pressurizing inlet in fluid communication with the fluid chamber, and a pressurizing device in fluid communication with the pressurizing inlet, the pressurizing device including a reaction chamber configured to accommodate a gas-producing chemical reaction for providing pressurized gas to the pressurizing inlet.

Systems and methods for actuating soft robotic actuators

Growing community of inventors

Los Altos, CA, United States of America

Xin Chen