Microsoft Technology Licensing, LLC

Samuel Alexander Webster

Cédric Alain Marie Fournet

Manuel Costa

Stavros Volos

David Thomas Chisnall

Daniel John Pelham Wilkinson

Graham Bernard Cunningham

Saurabh Mohan Kulkarni

Richard William Osborne

Kapil Vaswani

Dmitriy Meyerzon

John Michael Winn

Nikita Voronkov

Matthew Alastair Johnson

Matteo Venanzi

Alexander Lloyd Gaunt

Vladimir V Gvozdev

Alexander Armin Spengler

Daniel Stefan Tarlow

Ryota Tomioka

Ivan Korostelev

Dimitrios Vytiniotis

Pavel Myshkov

Yordan Kirilov Zaykov

Maik Riechert

Elena Pochernina

John Guiver

Sylvan Wesley Clebsch

Thomas Minka

Anthony Arnold Wieser

Marius Bunescu

Balaji Vembu

Kenneth Gordon

Sanil Rajput

A peripheral device, for use with a host, comprises one or more compute elements a security module and at least one encryption unit. The security module is configured to form a trusted execution environment on the peripheral device for processing sensitive data using sensitive code. The sensitive data and sensitive code are provided by a trusted computing entity which is in communication with the host computing device. The at least one encryption unit is configured to encrypt and decrypt data transferred between the trusted execution environment and the trusted computing entity via the host computing device. The security module is configured to compute and send an attestation to the trusted computing entity to attest that the sensitive code is in the trusted execution environment.

Peripheral device

A processing system comprising one or more chips, each comprising a plurality of tiles is described. Each tile comprises a respective processing unit and memory, the memory storing a codelet. The processing system has at least one encryption unit configured to encrypt and decrypt data transferred between the tiles and a trusted computing entity via an external computing device. The codelets are configured to instruct the tiles to transfer the encrypted data by reading from and writing to a plurality of memory regions at the external memory such that a plurality of streams of encrypted data are formed, each stream using an individual one of the memory regions at the external computing device.

Streaming data to multi-tile processing system

In various examples there is a computer-implemented method of database construction. The method comprises storing a knowledge graph comprising nodes connected by edges, each node representing a topic. Accessing a topic type hierarchy comprising a plurality of types of topics, the topic type hierarchy having been computed from a corpus of text documents. One or more text documents are accessed and the method involves labelling a plurality of the nodes with one or more labels, each label denoting a topic type from the topic type hierarchy, by, using a deep language model; or for an individual one of the nodes representing a given topic, searching the accessed text documents for matches to at least one template, the template being a sequence of words and containing the given topic and a placeholder for a topic type; and storing the knowledge graph comprising the plurality of labelled nodes.

Knowledge base with type discovery

Examples of the present disclosure describe systems and methods for cross-provider topic conflation. In aspects, a request relating to one or more topics may be received by a content surfacing platform. One or more data sources of multiple content providers may be searched for documents relating to the topic(s). Document content (e.g., document metadata and sentences, phrases, and other word content within the document) relating to the topic(s) may be extracted from the documents of the various content providers. The document content may be classified and/or separated into subparts. The subparts may be clustered and/or conflated by topic, thereby removing duplicated data while preserving the unique information in each subpart. The conflated topics may be stored in a single knowledge base, such as an enterprise knowledge graph, and/or presented in response to the request.

Cross-provider topic conflation

A neural network training apparatus is described which has a network of worker nodes each having a memory storing a subgraph of a neural network to be trained. The apparatus has a control node connected to the network of worker nodes. The control node is configured to send training data instances into the network to trigger parallelized message passing operations which implement a training algorithm which trains the neural network. At least some of the message passing operations asynchronously update parameters of individual subgraphs of the neural network at the individual worker nodes.

Asynchronous neural network training

A computer system has a separation mechanism which enforces separation between at least two execution environments such that one execution environment is a gatekeeper which interposes on all communications of the other execution environment. The computer system has an attestation mechanism which enables the gatekeeper to attest to properties of the at least two execution environments. A first one of the execution environments runs application specific code which may contain security vulnerabilities. The gatekeeper is configured to enforce an input output policy on the first execution environment by interposing on all communication to and from the first execution environment by forwarding, modifying or dropping individual ones of the communications according to the policy. The gatekeeper provides evidence of attestation both for the application specific code and the policy.

Execution environment and gatekeeper arrangement

Growing community of inventors

Cambridge, United Kingdom

Samuel Alexander Webster