Data

A new research project from Carnegie Mellon University, funded by a $2.6 million grant from the National Science Foundation, aims to make microchips smarter and more efficient by analyzing the data they collect about themselves. The Statistical Learning in Chip project is focused on developing an integrated machine learning engine that can help chips dynamically manage their resource consumption and keep it at optimum levels. This would make the chips, and the devices running on them, more energy-efficient, resulting in longer battery life and cooler operating temperatures.

IBM has opened a new research lab in San Jose, Calif., called the Accelerated Discovery Lab. Its purpose is to bring together subject matter experts in key areas — the company cites drug discovery, social analytics and predictive maintenance (aka the industrial internet) — with the data and tools they need to make new discoveries in their fields. For IBM, which has billions in revenue riding on these industries, the more it can prove its worth to them, the better.

San Juan Capistrano, Calif.-based startup Cirro is betting that there’s real value in piles of data scattered across corporate data stores, and it has closed an $8 million series A round from Toba Capital, Frost Venture Partners and Miramar Venture Partners to help test its hypothesis. Its platform invokes a SQL-based analytic engine that hits all of a companies various data stores — including big data stores such as Hadoop and NoSQL databases — while carrying out queries.

TransLattice, a Santa Clara, Calif.-based startup selling a geographically distributed relational database system, has acquired Red Bank, N.J.-based cloud-database startup StormDB. Both companies are pushing production-grade, distributed OLTP systems and the Postgres-based StormDB has some of its own IP around MPP analytics and geospatial data. It seems this means StormDB will stop taking new customers but, according to an FAQ on its site, “TransLattice will honor commitments to current StormDB customers.”

Intel joins other major companies such as GE and Qualcomm in promoting a platform for the internet of things. The chip giant says that it will offer a Wind River-based IoT platform and detailed several ways that its own use of sensors and data analytics have saved it money on the manufacturing floor. It plans on pushing both Atom and Quark processors for this platform and offered details on the upcoming Quark family of processors as well as a new Atom SoC. The first Quark processor core is a 32-bit, single core, single-thread, Pentium-compatible CPU operating at speeds up to 400MHz.

Teradata has upped the capabilities of its Teradata Aster big data platform by adding in a native graph-processing engine called SQL-GR. Not a bad idea considering the increased attention around graph processing lately, as well as the need for an aging Teradata to keep up with (or ahead of) of the Joneses in the big data space. And Teradata’s SNAP Framework — which ingests a query and then decides the right processing engines and data stores to invoke — is pretty sweet in theory.

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