Hybrid Cloud

Efficient Deep Learning Training on the Cloud with Small Files

Here I describe an approach to efficiently train deep learning models on machine learning cloud platforms (e.g., IBM Watson Machine Learning) when the training dataset consists of a large number of small files (e.g., JPEG format) and is stored in an object store like IBM Cloud Object Storage (COS). As an example, I train a […]

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Trust and Transparency for AI on the IBM Cloud

A comprehensive new set of trust and transparency capabilities for AI on the IBM Cloud will support development of trusted AI services.

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Finding Safe Water for Remote Parts of Kenya

Building resiliency to help communities attain water self-sufficiency, combat extreme drought conditions With a population of 46 million, a staggering 41 percent of Kenyans rely on unimproved water sources such as ponds, shallow wells and rivers, a challenge especially great in rural areas. Only nine out of 55 public water service providers in Kenya provide […]

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Semantic Cache for AI-Enabled Image Analysis

The Semantic Cache combines the low latency of edge deployments with the near-infinite resources available in the cloud to support AI workloads.

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Corpus Conversion Service Makes PDF Content Discoverable

This week, my team from IBM Research will debut a massively scalable document ingestion system, the Corpus Conversion Service, at the prestigious ACM Conference on Knowledge Discovery and Data Mining (KDD 2018) in London. Our AI-based cloud system can ingest 100,000 PDF pages per day (even of scanned documents) on a single blade server with […]

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TRAPPIST-1: Interplanetary Listening With IBM Cloud

TRAPPIST-1 is a planetary system located 12 parsecs (39 light years) away from the Solar system, near the ecliptic, within the constellation of Aquarius. Around a star which is 12 times smaller than the Sun and only slightly larger than Jupiter, there are at least seven planets in orbit. The first interplanetary listening observation made […]

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IBM Sets Tera-scale Machine Learning Benchmark Record with POWER9 and NVIDIA GPUs; Available Soon in PowerAI

Today, at IBM THINK in Las Vegas, we are reporting a breakthrough in AI performance using new software and algorithms on optimized hardware, including POWER9 with NVIDIA® V100™ GPUs. In a newly published benchmark, using an online advertising dataset released by Criteo Labs with over 4 billion training examples, we train a logistic regression classifier […]

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Deep Learning Advances from IBM Research

Today, with contributions made by IBM scientists, IBM introduces Deep Learning as a Service within Watson Studio, a rich set of cloud-based tools for developers and data scientists to help remove the barriers of training deep learning models in the enterprise. Deep learning and machine learning require expensive hardware and software resources as well as […]

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IBM Research at Think 2018

Quantum computing, future of AI and celebrity guest speakers make up the IBM Research lineup for Think 2018, IBM’s upcoming megaconference in Las Vegas. IBM Research will be the feature of over 45 sessions at Think 2018, taking place in Las Vegas, Nevada, March 19-22. IBM’s biggest industry and innovation event of the year will […]

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Advancing cloud with memory disaggregation

Here at IBM Research – Ireland, we are rethinking the very foundations on which the cloud is built. We are developing a concept and prototype for low-power and high-utilization disaggregated cloud data centres that break known boundaries, enabling the dynamic creation of fit-for-purpose computing environments from a pool of disaggregated resources. Today’s cloud data centres […]

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ROMEO Seeks to Improve Wind Farms with Machine Learning and IoT at the Edge

This past summer a five-year, €16 million EU Horizon 2020 project kicked off to reduce the maintenance cost of wind turbines using predictive machine learning algorithms, the Internet of Things and cloud computing. The project called ROMEO, or “Reliable Operations & Maintenance Decision tools and strategies for high LCoE reduction on Offshore wind”, and not […]

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Making container technology work for persistent microservices

In the technology realm, containers are an approach to running a compute environment, a bit like virtual machines (VM). Users typically prefer containers because they use resources more efficiently, start and stop much faster, and are less expensive to maintain. IBM Research co-developed Ubiquity with the IBM Cloud Storage Solutions team with the objective of […]

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