AI & Blockchain: Internet of smarter things

Dr. Eng Lim Goh gave this talk at HPE Discover More. He describes inspiring real-world use cases that demonstrate the transformative power of AI and HPC. Hear how the next wave of Machine Intelligence is uncovering value in data like never before to solve some of the world’s most significant challenges.”

Blockchain Supercharged with AI: The Next Revolution?

In this contributed article, InWara Business Analyst Gregory S. Mathew, discusses the convergence of blockchain and AI and how recent developments in big data has created a conducive environment for the amalgamation of these technologies.

Podcast: Memory-Driven Computing

In this podcast, HPE Distinguished Technologist Kim Keeton describes the concept of Memory-Driven Computing and how it relates to traditional high performance computing. In terms of application areas, Kim also explains her perspective on blockchain and self-driving cars. “Memory-Driven Computing sets itself apart by giving every processor in a system access to a giant shared pool of memory – a sharp departure from today’s systems where relatively small amounts of memory are tethered to each processor. The resulting inefficiencies limit performance.”

High Performance Systems: An “Open Plan” for HPC

In this special guest feature from the SC19 Blog, Ryan Quick from Providentia Worldwide calls for a conference program that reflects more sharing across disciplines. “For me, HPC is about delivering answers to hard questions – right now. It’s about an inclusive and integrative approach to computing. And it’s exciting. If we can put aside our differences and allow ourselves to learn a little. We will gain a lot. I promise. See you in Denver.”

Data Privacy and Blockchain in the Age of IoT

In this contributed article, freelance human Avery Phillips discusses how transparency is a foundation of blockchain technology, and one of its greatest assets when it comes to the healthcare industry and HIPAA compliance. This is where blockchain, big data, and IoT collide — big data analytics requires quality, accurate input.

Wolfram Research Releases Mathematica Version 12 for Advanced Data Science

Today Wolfram Research released Version 12 of Mathematica for advanced data science and computational discovery. “After three decades of continuous R&D and the introduction of Mathematica Version 1.0, Wolfram Research has released its most powerful software offering with Version 12 of Wolfram Language, the symbolic backbone of Mathematica. The latest version includes over a thousand new functions and features for multiparadigm data science, automated machine learning, and blockchain manipulation for modern software development and technical computing.”

Podcast: How Real is Ai Anyway?

In this podcast, the Radio Free HPC team discusses AI, bias in AI, and just how real AI actually is. “Ethics in AI, policy, legal framework are all big threads here. The trigger is the rather funny article from The Register: Artificial Intelligence, You Know it isn’t real, yeah?”

Google’s New Big Data View of Ethereum: What to Know

In this contributed article, technology writer and blogger Kayla Matthews discusses how Google wants to make all blockchain data associated with Ethereum easily accessible for people to study. It’s doing that by making all Ethereum data sets available through BigQuery, Google’s enterprise-level and highly scalable data warehouse geared towards data analysts.

Fluree PBC Moves from Successful Beta to a Full Production Release with FlureeDB Enterprise Blockchain Database

Fluree P.B.C. officially moved FlureeDB – its flagship blockchain database product – from beta program to production release on August 22nd, 2018. FlureeDB can run internally as a highly-performant graph database to power standard business applications, but can also be distributed and decentralized – in its entirety – across an established network of participants known as a “permissioned blockchain.”

CIARA steps up to High Frequency Trading and Blockchain with AMD

CIARA just announced new AMD-based systems for ultra-low latency, high Frequency Trading and Blockchain solutions. “With the adoption of new technologies such as large core count processors and the usage of ECC memory, the path for all financial enterprises to reap the benefits of safe hardware acceleration without compromising reliability is getting easier,” said Patrick Scateni, Vice President of Enterprise and Performance Group at CIARA. “The joint solutions coming from the CIARA and AMD will bring high-performance and broader choice of compute platforms to the FSI market.”