Abstract: A display system can include a head-mounted display configured to project light to an eye of a user to display virtual image content at different amounts of divergence and collimation. The display system can include an inward-facing imaging system images the user's eye and processing electronics that are in communication with the inward-facing imaging system and that are configured to obtain an estimate of a center of rotation of the user's eye. The display system may render virtual image content with a render camera positioned at the determined position of the center of rotation of said eye.

Abstract: A method for improving the execution time of a computer application comprises at least one cycle includes: a step of determining the type of memory access time sequence occurring during execution of the computer application; a step of preloading data, from a file system to a cache memory system, according to the determined type of memory access time sequence. The determination step is carried out by a learning model having been previously configured using a database of certain predetermined types of memory access time sequences.

Abstract: The invention relates to a method for optimizing the execution parameters of a software application on an information processing platform, consisting in iteratively optimizing said parameters at each execution of said application, in which: for each execution (1) of said application, performance measurements are made (2) and stored (3), in association with the parameters used for said execution; at the start of each execution of said application, values are determined (4, 6) for a first subset of said parameters by inference (6) from the stored measurements corresponding to a subset of the executions corresponding to a second subset of said parameters.

Abstract: A method for improving the execution time of a computer application comprises at least one cycle includes: a step of determining the type of memory access time sequence occurring during execution of the computer application; a step of preloading data, from a file system to a cache memory system, according to the determined type of memory access time sequence. The determination step is carried out by a learning model having been previously configured using a database of certain predetermined types of memory access time sequences.

Abstract: A datum to be preloaded includes the acquisition of a, so-called “model”, statistical distribution of the deltas of a model access sequence, the construction of a, so-called “observed”, statistical distribution of the deltas of an observed access sequence, the identification in the observed statistical distribution, by comparing it with the model statistical distribution, of the most deficient class, that is to say of the class for which the difference NoDSM?NoDSO is maximal, where NoDSM and NoDSO are the numbers of occurrences of this class that are deduced, respectively, from the model statistical distribution and from the observed statistical distribution, the provision as prediction of the datum to be preloaded into the cache memory, of at least one predicted address where the datum to be preloaded is contained, this predicted address being constructed on the basis of the most deficient class identified.

Abstract: A datum to be preloaded includes the acquisition of a, so-called “model”, statistical distribution of the deltas of a model access sequence, the construction of a, so-called “observed”, statistical distribution of the deltas of an observed access sequence, the identification in the observed statistical distribution, by comparing it with the model statistical distribution, of the most deficient class, that is to say of the class for which the difference NoDSM?NoDSO is maximal, where NoDSM and NoDSO are the numbers of occurrences of this class that are deduced, respectively, from the model statistical distribution and from the observed statistical distribution, the provision as prediction of the datum to be preloaded into the cache memory, of at least one predicted address where the datum to be preloaded is contained, this predicted address being constructed on the basis of the most deficient class identified.

Abstract: A system comprising: an electronic circuit exhibiting, in operation, a value v of an operating physical quantity; a measurement device comprising: sensors embedded in the electronic circuit so as to provide raw measurements {Xm} sensitive to the value v of the operating physical quantity, and an output unit for providing useful measurements {X?n} on the basis of the raw measurements {Xm}; a distribution calculation device for determining a current distribution function F(x) associated with the useful measurements {X?n}; a memory wherein associations {Ak} are saved, each association Ak associating a model distribution function Fk(x) with a model value v*k of the operating physical quantity; and an estimation calculation device for determining an estimation {tilde over (v)} of the value v of the operating physical quantity on the basis of the current distribution function F(x) and at least a portion of the saved associations {Ak}.