When we discuss about artificial intelligence (AI), how are machines learning? What kinds of projects feed into greater understanding? For our friends over at IBM, one surprising answer is movies. To build smarter AI systems, IBM researchers are using movie plots and neural networks to explore new ways of enhancing the language understanding capabilities of AI models.
Advancements in Dynamic and Efficient Deep Learning Systems
June 22, 2018 by
We’re seeing much hype in the marketplace about the potential of AI, especially with respect to computer vision systems and its ability accelerate the development of everything from self-driving cars to autonomous robots. To create more dynamic and efficient deep learning systems, that don’t compromise accuracy, IBM Research is exploring new and novel computer vision techniques from both a hardware and software angle.
The Top 3 Industries AI Will Disrupt in 2018
December 12, 2017 by
In this contributed article, Neil Sahota, an IBM Master Inventor and World Wide Business Development Leader in the IBM Watson Group, discusses the top 3 industries AI will disrupt in 2018. As AI continues to mature, there are many new and exciting ways companies across all industries can implement the technology. But Neil believes that there are three specific industries — legal, hospitality, and real estate — that will see the most impactful change through AI in the year ahead.
Operationalizing Data Science
December 10, 2017 by
In the video presentation below, Joel Horwitz, Vice President, Partnerships, Digital Business Group for IBM Analytics, discusses what it means to “operationalize data science” – basically what it means to harden the ops behind running data science platforms.
IBM Introduces New Software to Ease Adoption of AI, Machine Learning and Deep Learning
November 17, 2017 by
IBM announced new software to deliver faster time to insight for high performance data analytics (HPDA) workloads, such as Spark, Tensor Flow and Caffé, for AI, Machine Learning and Deep Learning. Based on the same software, which will be deployed for the Department of Energy’s CORAL Supercomputer Project at both Oak Ridge and Lawrence Livermore, IBM will enable new solutions for any enterprise running HPDA workloads.
IBM Expands Watson Data Platform to Help Unleash AI for Professionals
November 3, 2017 by
IBM (NYSE: IBM) announced new offerings to its Watson Data Platform, including data cataloging and data refining, which make it easier for developers and data scientists to analyze and prepare enterprise data for AI applications, regardless of its structure or where it resides. By improving data visibility and security, users can now easily connect and share data across public and private cloud environments.
IBM Unveils a New High-Powered Analytics System for Fast Access to Data Science
October 5, 2017 by
IBM (NYSE: IBM) announced the Integrated Analytics System, a new unified data system designed to give users fast, easy access to advanced data science capabilities and the ability to work with their data across private, public or hybrid cloud environments.
The State of Graph Databases – Worldwide Adoption and Use Case Characteristics
August 14, 2017 by
A new paper, “The State of Graph Databases – Worldwide Adoption and Use Case Characteristics,” provides an overview of graph technology, details the results of a new IBM survey—and highlights findings that debunk some of the most popularly held views about graph technology.
IBM Combines All-Flash and Storage Software Optimized for Hortonworks
July 31, 2017 by
IBM (NYSE: IBM) announced a new all-flash, high-performance data and file management solution for enterprise clients running exabyte-scale big data analytics, cognitive and AI applications. The combined flash and storage software solution has been certified with the Hortonworks Data Platform (HDP) to provide clients with more choice in selecting the right platform for their big data analytics on data processing engines like Hadoop and Spark.
Sinequa Integrates Cloud AI Services to its Cognitive Search & Analytics Platform
July 11, 2017 by
Sinequa, a leader in cognitive search and analytics, announced the addition of advanced artificial intelligence (AI) capabilities to its platform. These capabilities leverage Google Vision and Translate as well as IBM Watson Alchemy for Image Recognition and Speech-to-text. These additions bolster related capabilities already in place with the existing integrations for Microsoft Azure Media Services for image and video treatment.
