Notes about Cutting-Edge Technologies and Everything

Analytics at the speed of transactions has become an important agenda item for organizations. Translytical data platforms, an emerging technology, deliver faster access to business data to support various workloads and use cases. EA pros can use them to drive new business initiatives. Forrester identified the 12 most significant translytical vendors — Aerospike, DataStax, GigaSpaces, IBM, MemSQL, Microsoft, NuoDB, Oracle, Redis Labs, SAP, Splice Machine, and VoltDB — and researched, analyzed, and scored them against 25 criteria. Details >> (the link is provided by DataStax here ) The Forrester Wave™: Translytical Data Platforms, Q4 2017:

(by Andrej Karpathy, Director of AI at Tesla) Neural networks are not just another classifier, they represent the beginning of a fundamental shift in how we write software. They are Software 2.0. The “classical stack” of Software 1.0 is what we’re all familiar with — it is written in languages such as Python, C++, etc. It consists of explicit instructions to the computer written by a programmer. By writing each line of code, the programmer is identifying a specific point in program space with some desirable behavior. In contrast, Software 2.0 is written in neural network weights. No human is involved in writing this code because there are a lot of weights (typical networks might have millions), and coding directly in weights is kind of hard (I tried). Instead, we specify some constraints on the behavior of a desirable program (e.g., a dataset of input output pairs of examples) and use the computational resources at our disposal to search the program space for a pr