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New Dell EMC Solutions Bring Machine and Deep Learning to Mainstream Enterprises

Dell EMC announces new machine learning and deep learning solutions, continuing the company’s work to bring high performance computing (HPC) and data analytics capabilities to mainstream enterprises worldwide. This enables organizations to take advantage of the convergence of HPC and data analytics and realize advancements in areas including fraud detection, image processing, financial investment analysis and personalized medicine.

Things You Can Do with a Recurrent Neural Network

In this video presentation from the Linux.conf.au 2015 in Auckland, New Zealand, Douglas Bagnall examines a particularly hot topic in deep learning, namely recurrent neural networks, and all the things you can do with them.

IBM Introduces New Software to Ease Adoption of AI, Machine Learning and Deep Learning

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.

Algorithmia Launches AI Layer for the Enterprise

Algorithmia announces the availability of the Algorithmia AI Layer, a software platform that dramatically accelerates the process by which companies can deploy Artificial Intelligence (AI) and Machine Learning (ML) models into applications. Designed for companies building AI/ML algorithm portfolios, Algorithmia AI Layer allows data scientists to automate the DevOps and deployment of AI/ML models in the language of their choice with a simple API in a matter of minutes.

How AI Is Helping Speed Drug Development

In this contributed article, Gunjan Bhardwaj, Founder and CEO of the Innoplexus, discusses how AI significantly can speed up drug development time, from synthesis to approval. The convergence of healthcare and technology is creating a lot of buzz, especially as the healthcare policy debates are in a gridlock amongst U.S. lawmakers. Fortunately, technology companies and healthcare experts are working together to innovate at breakneck speeds, regardless of policy challenges.

New Containers on NVIDIA GPU Cloud Help Developers Instantly Deploy Fully Optimized AI and HPC Software

NVIDIA announced that a new advanced data center GPU — the NVIDIA® Tesla® V100 GPU based on NVIDIA’s Volta architecture — is available through major computer makers and chosen by major cloud providers to deliver artificial intelligence and high performance computing.

5 Innovative Ways to Improve Human Resources through Artificial Intelligence

In this contributed article, Eva Wislow, career coach and HR Executive at resume writing service CareersBooster.com, discusses how Artificial intelligence (AI) is changing the manner in which companies develop HR plans and manage their workforce and how the evolution of information technologies brought significant changes in the way human resources are being managed.

Zebra Medical Vision to Make AI in Healthcare Accessible & Affordable for All

Zebra Medical Vision, the leading deep learning imaging analytics company, is announcing AI1: a new suite that offers all its current and future algorithms to healthcare providers globally for $1 USD per scan. This is another step in the company’s quest to provide high quality, affordable care to the world’s population.

Large Scale Deep Learning with TensorFlow

In this video presentation from the Spark Summit 2016 conference in San Francisco, Google’s Jeff Dean examines large scale deep learning with the TensorFlow framework. Jeff joined Google in 1999 and is currently a Google Senior Fellow.

The Top Skills Needed to Thrive in the AI Economy

In this special guest feature, Mark Robinson, co-founder of Kimble Applications, outlines the top skills employees need to develop in order to thrive in the “AI economy.” More and more business decisions will be guided by artificial intelligence moving forward. While this doesn’t mean that robots will take our jobs, it’s crucial that workers prepare for how their jobs will be evolving alongside AI.