A high performance Transducers implementation for JavaScript.

Microsoft’s Strange Quest for the Topological Qubit | MIT Technology Review

Microsoft is now almost a decade into that project and has just begun to talk publicly about it. If it succeeds, the world could change dramatically. Since the physicist Richard Feynman first suggested the idea of a quantum computer in 1982, theorists have proved that such a machine could solve problems that would take the fastest conventional computers hundreds of millions of years or longer. Quantum computers might, for example, give researchers better tools to design novel medicines or super-efficient solar cells. They could revolutionize artificial intelligence.

Spark Breaks Previous Large-Scale Sort Record – Databricks

Most data pipelines start with a large amount of raw data, but as the pipeline progresses, the amount of data is reduced due to filtering out irrelevant data or more compact representation of intermediate data. A SQL query on 100 TB of raw input data most likely only shuffles a tiny fraction of the 100 TB across the network. This pattern is also reflected in the naming of MapReduce itself.


TarsosLSH is a Java library implementing Locality-sensitive Hashing (LSH), a practical nearest neighbour search algorithm for multidimensional vectors that operates in sublinear time. It supports several Locality Sensitive Hashing (LSH) families: the Euclidean hash family (L2), city block hash family (L1) and cosine hash family. The library tries to hit the sweet spot between being capable enough to get real tasks done, and compact enough to serve as a demonstration on how LSH works.

The Next Wave of Enterprise Performance with Java, POWER Systems and NVIDIA GPUs | Parallel Forall

Our first step brings capabilities of the CUDA programming model into the Java programming environment. Java developers familiar with CUDA concepts can use the new IBM CUDA4J library, which provides a Java API for managing and accessing GPU devices, libraries, kernels, and memory. Using these new APIs it is possible to write Java programs that manage GPU device characteristics and offload work to the GPU with the convenience of the Java memory model, exceptions, and automatic resource management that Java developers expect.

First Teleportation Of Multiple Quantum Properties Of A Single Photon — The Physics arXiv Blog — Medium

Until now. Today, Xi-Lin Wang and buddies at the University of Science and Technology of China in Hefei say they have done just that. The team have worked out how to teleport two quantum properties of a single photon to another photon at the same time — the first time this has ever been done. The work is an important stepping stone towards the ultimate goal of teleporting complex objects such as atoms and small molecules in their entirety.

Supercapacitors from ‘crumpled graphene’ could power flexible electronic devices | KurzweilAI

MIT researchers have found that crumpling a piece of graphene “paper” — a material formed by bonding together layers of the two-dimensional form of carbon — can yield new properties that could be useful for creating extremely stretchable supercapacitors to store energy for flexible electronic devices.


Node-RED is a tool for wiring together hardware devices, APIs and online services in new and interesting ways.

Sqlite3 3.8.7 50% faster than 3.7.17

The latest SQLite 3.8.7 alpha version (available on the download page is 50% faster than the 3.7.17 release from 16 months ago. That is to say, it does 50% more work using the same number of CPU cycles.


Nightmare is a high level wrapper for PhantomJS that lets you automate browser tasks. The goal is to expose just a few simple methods, and have an API that feels synchronous for each block of scripting, rather than deeply nested callbacks. It’s designed for automating tasks across sites that don’t have APIs.


SENNA is a software distributed under a non-commercial license, which outputs a host of Natural Language Processing (NLP) predictions: part-of-speech (POS) tags, chunking (CHK), name entity recognition (NER), semantic role labeling (SRL) and syntactic parsing (PSG). SENNA is fast because it uses a simple architecture, self-contained because it does not rely on the output of existing NLP system, and accurate because it offers state-of-the-art or near state-of-the-art performance.


Code examples that show how to integrate Apache Kafka 0.8 (latest stable) with Apache Storm 0.9 (latest stable), while using Apache Avro as the data serialization format.

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