Abstract: An embodiment of a semiconductor package apparatus may include technology to process one or more vectors with a sum of squares operation with a layer of a multi-layer neural network, and determine a fixed-point approximation for the sum of squares operation. Other embodiments are disclosed and claimed.

Abstract: Methods, apparatus, systems and articles of manufacture to determine topologies for networks are disclosed. An example a non-transitory computer readable medium comprises instructions that, when executed, cause a machine to at least: determine link capacities for a plurality of links between nodes of a network, determine a maximum number of children of the peer linked nodes, determine a maximum number of parents of the peer linked nodes, and utilize reinforcement learning to determine a subset of the plurality of links to be activated in the network based on the link capacities, the maximum number of children, and the maximum number of parents.

Abstract: An apparatus to facilitate compute optimization is disclosed. The apparatus includes a at least one processor to perform operations to implement a neural network and compute logic to accelerate neural network computations.

Abstract: An embodiment of a semiconductor package apparatus may include technology to process one or more vectors with a sum of squares operation with a layer of a multi-layer neural network, and determine a fixed-point approximation for the sum of squares operation. Other embodiments are disclosed and claimed.

Abstract: Apparatus and methods for detecting molecules in a fluidic environment are provided, including nanodevices and methods for fabricating, functionalizing, and operating such nanodevices. At least one of the methods includes selective heating of nanodevices in an array.