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Tag: Deep Learning

Interview: Mike Hudy, Ph.D., Chief Science Officer at Modern Hire
I recently caught up with Mike Hudy, Ph.D., Chief Science Officer at Modern Hire, to discuss the use of AI in the hiring process. Hint: it includes a robust and specific code of ethics, implementation with a specific problem in mind, and lots of transparency.
On the Edge of Something Big
In this contributed article, Tim Parker, VP of Network Strategy at Flexential, provides the top four reasons your organization needs an edge strategy now. Edge computing enables efficient data processing near the source to minimize latency, reduce bandwidth usage and lower costs while improving compliance, security and resiliency.
insideBIGDATA Latest News – 2/24/2020
In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday. Fortunately, we’re in close touch with vendors from …
Podcast Highlights: Towards Data Science
Today's feature podcast series comes from one my favorite data science blogs, Towards Data Science, which has consistently high-quality content to expand your knowledge of the field.
Book Review: Python Machine Learning – Third Edition by Sebastian Raschka, Vahid Mirjalili
I had been looking for a good book to recommend to my "Introduction to Data Science" classes at UCLA as a text to use once my class completes ... sort of the next step after learning the basics. That's why I was looking forward to reviewing the new 3rd edition …
insideBIGDATA Latest News – 2/18/2020
In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday. Fortunately, we’re in close touch with vendors from …
“Above the Trend Line” – Your Industry Rumor Central for 2/17/2020
Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items grouped by category such as M&A activity, people movements, funding news, financial results, industry alignments, customer wins, rumors and general scuttlebutt floating around the …
Why Partnerships Beat Outsourcing In Data Labeling
In this contributed article, Mohammad Musa, Founder & CEO of Deepen AI, discusses how good data labeling leads to better results, whether it’s in autonomous cars, medical imaging, or any other industry where AI thrives. Done poorly, the entire system suffers. Inefficiencies and inaccuracies become inevitable, while major safety risks …
Businesses Building AI Applications Are Shifting to Open Infrastructure
In this special guest feature, Ami Badani, CMO of Cumulus Networks, suggests that as AI requires a lot of data to train algorithms in addition to immense compute power and storage to process larger workloads when running these applications, IT leaders are fed up with forced, expensive and inefficient infrastructure, …
Tensorflow basics : Matrix operations
4 Basic operations for working with matrixes in tensorflow
AI Usage in Banking is Forcing the Conversation around the Ethical Use of Data
In this contributed article, Lisa Shields, Founder and Chief Executive Officer at FISPAN, dives into the ethical considerations banks must take into account when developing AI, and how they can do so responsibly. With the right business practices in place, banks can reap the benefits of AI while keeping customers …
Best of arXiv.org for AI, Machine Learning, and Deep Learning – January 2020
In this recurring monthly feature, we will filter all the recent research papers appearing in the arXiv.org preprint server for subjects relating to AI, machine learning and deep learning – from disciplines including statistics, mathematics and computer science – and provide you with a useful “best of” list for the …
Intel® Parallel Studio XE 2020: Transform Enterprise, Cloud, HPC & Artificial Intelligence with Faster Parallel Code
In this article we’ll drill down into the capabilities of Intel® Parallel Studio XE 2020, the latest release of a comprehensive, parallel programming tool suite that simplifies the creation and modernization of code. Using this newest release, software developers and architects can speed AI inferencing with support for Intel® Deep …
Busting the 5 Common Myths Business Leaders Get Wrong About AI
In this special guest feature, Nikolas Kairinos, CEO and co-founder of Prospex and Fountech, takes a look at the 5 common myths business leaders get wrong about AI. Every organisation should consider the potential impact of this technology on its strategy, and how it can be utilised to solve problems …
Researcher Develops Algorithm to Make Artificial Intelligence Fairer
A researcher from Queen’s University Belfast has developed an innovative new algorithm that will help make artificial intelligence (AI) fairer and less biased when processing data. Companies often use AI technologies to sift through huge amounts of data in situations such as an oversubscribed job vacancy or in policing when …
Vaccines Are Being Created By AI: Here’s How
In this contributed article, tech blogger Caleb Danziger discusses how medical researchers have begun using AI in a bid to reduce long drug development times and prevent costly failures. Now, these efforts are beginning to produce real results. A team of medical researchers from Australia's Flinders University have designed an …
AI Hype: Why the Reality Often Falls Short of Expectations
n this special guest feature, AJ Abdallat, CEO of Beyond Limits, takes a look at the tech industry's hype cycle, in particular how it often falls short of expectations when related to artificial intelligence.
Healthcare APIs & Artificial Intelligence: What’s the Big Data Connection?
In this contributed article, freelance human Avery Phillips discusses how healthcare APIs, along with AI, is on the brink of revolutionizing healthcare. However, in order for breakthroughs such as predictive analysis to take place, the connection must be made to big data.