IBM Expanding AI, ML capabilities in IBM Cloud Satellite through the Cloud Pak for Data Add-On

IBM cloud satellite

With the recent release of its IBM Cloud Pak for Data, IBM is quickly expanding the tools it offers to enterprise customers that want to put their workloads onto IBM’s Cloud Satellite. The IBM Cloud Pak for Data, which became generally available to customers on March 26, is the first major add-on for Cloud Satellite since the nascent service was launched on March 1.

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How NASA is using AI to develop the Next Generation of Self-Driving Planetary Rovers

Mars perseverance

With each new generation of NASA’s Mars rovers, improvements in AI, machine learning and other advanced technologies continue to make them more autonomous as they traverse the Martian soil looking for clues about the history of Earth and our solar system.

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Why businesses don’t Deploy Machine Learning (And How to Overcome It)

Human machine

Yet many businesses haven’t adopted machine learning (ML) on any scale. AI requires enormous and expensive leaps of knowledge about data, which itself is often an under-governed, poorly-structured Achilles’ heel.

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Feedzai Gets Another $200M to further expand its Financial Risk AI/ML Management Platform


Feedzai, which is based in San Mateo, Calif., and Lisbon, Portugal, received the latest funds from global investment firm KKR, with participation from existing investors Sapphire Ventures and Citi Ventures, according to a March 24 (Wednesday) announcement. With the latest funding round, the company has now raised more than $1 billion from investors to pursue its strategy.

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A 5-step approach to implementing Machine Learning

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Establishing machine learning within any organization requires planning and collaboration. As with any technology insertion and/or transition, it starts with a vision and moves on to execution followed by continuous monitoring and improvement. The basic steps to building an ML implementation plan are described in five simple steps below: VDOCR — Vision, Data, Organizational alignment, Change management and Revalidation.

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Model Scaling that’s both accurate and fast: Facebook AI…

The past several years have seen the rapid development of new hardware for training and running convolutional neural networks. Highly-parallel hardware accelerators such as GPUs and TPUs have enabled machine learning researchers to design and train more complex and accurate neural networks that can be employed in more complex real-life applications.

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Facebook & Google’s LazyTensor enables expressive domain-specific Compilers

A team from Facebook and Google has proposed LazyTensor — a technique for targeting domain-specific compilers without sacrificing define-by-run ergonomics.
The post Facebook & Google’s LazyTensor Enables Expressive Domain-Specific Compilers first appeared on Synced.

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Five common use cases where machine learning can make a big difference

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While many industries are struggling amid the coronavirus pandemic, both the IT industry and the broader trend of transition to remote work have revealed many areas where traditional approaches to managing businesses create unnecessary waste. Still, data science and its subdivision – machine learning – reveal that such expansion is nearly limitless. Machine learning uses […]

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The future of Artificial Intelligence (AI)

Wireframe head on cityscape and binary background

Artificial intelligence (AI) is shaping the future of nearly every human being on the planet. Artificial Narrow Intelligence (ANI) is now a reality, and researchers are now focusing on Artificial General Intelligence (AGI) and Artificial Super Intelligence (ASI) that is beyond human level.

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10 innovative companies using Artificial Intelligence (AI)

Man holding innovation sign

All major tech giants, including Google, Microsoft, and Apple, are introducing extraordinary Artificial Intelligence (AI) features in their systems. Siri and Alexa personal assistants are examples of AI as a service and becoming the must-to-have devices in the USA homes. Innovated machine breakthroughs like self-driving cars are no more a dream but a reality now. AI has truly revolutionized the world we live today – surrounded by many gadgets, devices, and tech that is influenced by machine learning, deep learning and data science.

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A brief Introduction to 5 predictive Models in Data Science

Predictive Modeling in Data Science answers the question “What is going to happen in the future, based on known past behaviors?” Modeling is an essential part of Data Science and it is mainly divided into predictive and preventive modeling. Predictive modeling is a process of using data and statistical algorithms to predict outcomes with data models.

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How enterprise AI use will grow in 2021: Predictions from our AI experts

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Among IT executives, leaders, experts and supporters in the field of AI, the opinions and insights vary widely. In this AI 2021 predictions roundup for EnterpriseAI readers, we have gathered the thoughts and comments from a sampling of our experts who shared their thoughts with us on the AI marketplace and coming innovations over the next year. Their conversations are intriguing.

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U.S. leads world in AI, but here comes China

USA China Race

The United States is maintaining its early lead over China and the European Union in development and application of artificial intelligence technology, according to a new report from the Information Technology and Innovation Foundation (ITIF). But while the Americans’ lead is still substantial today, China is poised to close the gap, while the EU is largely failing to keep up, the report found.

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Nvidia unveils Certified Server Program offering Pre-Built Servers for AI applications

Nvidia Certified Support

Nvidia today launched a certified systems program in which participating vendors can offer Nvidia-certified servers with up to eight A100 GPUs. Separate support contracts directly from Nvidia for the certified systems are also available. Besides the obvious marketing motives, Nvidia says the pre-tested systems and contract support should boost confidence and ease deployment for those taking the AI plunge. Nvidia-certified systems would be able to run Nvidia’s NGC catalog of AI workflows and tools.

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Deep Science: Using machine learning to study anatomy, weather and earthquakes

Research papers come out far too rapidly for anyone to read them all, especially in the field of machine learning, which now affects (and produces papers in) practically every industry and company. This column aims to collect the most relevant recent discoveries and papers — particularly in but not limited to artificial intelligence — and explain why they matter.

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Artificial Intelligence and Robotics are Transforming the Healthcare Industry

Human Scan with DNA

Artificial intelligence is becoming an expert at doing what humans can do with high proficiency, affordability, and quick response rate. The potential of AI and robotic in healthcare has no limits; both increase their impact on the human healthcare eco-system. AI simplifies patients, specialists, and clinic administrators’ complexities by performing tasks with exceptional capabilities in less time and expense of less money. The AI sector is one of the biggest industries grown at $600 million in 2014 and predicted to cross $150 billion in 2026.

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Robotic Vision startup Akasha Imaging aims to improve Industrial Manufacturing with AI

With $10.75 million in Series A funding arriving earlier this month, AI robotic vision startup Akasha Imaging is now bulking up its team to ready itself to deliver its nascent AI vision technology to industrial manufacturers by mid-2021.

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