How a Physics-Driven Analytics Platform Detects Reliability Threats Registration

#artificialintelligence

A physics-driven analytics platform aids in improvements to the reliability and efficiency of connected mechanical systems. The solution analyzes large quantities of time series data from IoT sensors to help identify issues affecting system performance in real-time as well as provide accurate data for predictive maintenance. Our presenter chose a time series database for its high ingest and storage of time series data as well as its ability to easily send this data into their systems for predictive analytics.


How a Physics-Driven Analytics Platform Detects Reliability Threats Registration

#artificialintelligence

A physics-driven analytics platform aids in improvements to the reliability and efficiency of connected mechanical systems. The solution analyzes large quantities of time series data from IoT sensors to help identify issues affecting system performance in real-time as well as provide accurate data for predictive maintenance. Our presenter chose a time series database for its high ingest and storage of time series data as well as its ability to easily send this data into their systems for predictive analytics.


How Machine Learning is Impacting the Supply Chain Management?

#artificialintelligence

The major concern for any enterprise is improved performance. For this purpose, business intelligence gathering systems were being used by companies in the 21st century. The identification of the gaps will be done by post-mortem data analysis with the help of order fulfilment cycles. In many organizations, technologies such as artificial intelligence (AI) and machine learning can revolutionize the main aspects of operations, while facilitating redefining new and existing consumer experience. The advancement becomes the urgent need due to hike in the production, potential loss of revenues, lack of customer service and transportation cost.


Get 2020 vision about edge computing and 5G

#artificialintelligence

With 2020 predictions looming, there's sure to be a fresh wave of hype around the edge and 5G. Now's an ideal time to solidify and update your understanding, and explore how they'll complement each other. If you're processing payments, taking online orders, detecting fraud, in the financial services industry, or exploring machine learning, these two technologies can help keep you competitive in the coming months. Edge computing is all about processing information from devices closer to where it's being created, rather than shuttling it back and forth from the cloud. Together with 5G, computing at the edge paves the way for applications that wouldn't have been possible before.


Data Science in Pharma and Drug Discovery CxOTalk

#artificialintelligence

Data science and AI are playing an increasingly important role healthcare, including the development of new drugs, therapies, and healthcare processes. Industry analyst, Michael Krigsman, speaks with a leader in data science for health care, Dr. Bülent Kiziltan, to learn more. Dr. Bülent Kiziltan is an AI executive and an accomplished scientist who uses artificial intelligence to create value in many business verticals and tackles diverse problems in disciplines ranging from the financial industry, healthcare, astrophysics, operations research, marketing, biology, engineering, hardware design, digital platforms, to art. He has worked at Harvard, NASA and MIT in close collaboration with pioneers of their respective fields. In the past 15 years he has led data driven efforts in R&D and built multifaceted strategies for the industry.


Deep Learning (Interview With Leon Bottou)

#artificialintelligence

His research career took him to AT&T Bell Laboratories, AT&T Labs Research, NEC Labs America and Microsoft. He joined Facebook AI Research in 2015. The long term goal of Léon's research is to understand how to build human-level intelligence. Although reaching this goal requires conceptual advances that cannot be anticipated at this point, it certainly entails clarifying how to learn and how to reason. Leon Bottou best known contributions are his work on neural networks in the 90s, his work on large scale learning in the 00's, and possibly his more recent work on causal inference in learning systems.


An Introduction to Neural Information Retrieval - Microsoft Research

#artificialintelligence

Neural ranking models for information retrieval (IR) use shallow or deep neural networks to rank search results in response to a query. Traditional learning to rank models employ supervised machine learning (ML) techniques--including neural networks--over hand-crafted IR features. By contrast, more recently proposed neural models learn representations of language from raw text that can bridge the gap between query and document vocabulary. Unlike classical learning to rank models and non-neural approaches to IR, these new ML techniques are data-hungry, requiring large scale training data before they can be deployed. This tutorial introduces basic concepts and intuitions behind neural IR models, and places them in the context of classical non-neural approaches to IR.


Vidora & the Global Artificial Intelligence Conference

#artificialintelligence

We at Vidora were thrilled to participate in the 4th Annual Global Artificial Intelligence Conference held at the Santa Clara Convention Center between January 21st to 23rd. At the conference, our co-founder, Abhik, did a great job presenting about the biggest bottleneck in Machine Learning: Data Wrangling. In his presentation, Abhik addressed the challenges in data wrangling and how Vidora helps automate this process. In addition, he spoke about Feature Engineering and the future of Machine Learning. The three day Global Artificial Intelligence Conference primarily focused on providing insights and potential solutions to address AI issues.


Superintelligence Already Rules the World

#artificialintelligence

Artificial decision-making machines have been with us for hundreds of years. We call them corporations and states, and they have hugely accelerated the development of our societies. That's the argument David Runciman makes in conversation with Azeem Azhar in this week's episode. Runciman is professor of politics at Cambridge University and host of the "Talking Politics" podcast. He and Azeem discuss what this reframing of artificial intelligence can teach us about navigating the hurdles it presents.


Cyber Attack Alert! A Fake Factory Network Attacked With RAT, Ransomware, Malware and So On!

#artificialintelligence

Researchers simulated a real-looking "Industrial prototyping" organization with fake employees, PLCs, and websites to study the types of cyber-attacks that commonly on such networks. The elaborately fake organization's website and the network worked on a highly advanced interactive "honeypot" network that worked extensively on attracting the attention of potential hackers. The plan was to create such a legitimate-looking network that no one could even doubt it's being phony and to accumulate serious information related to cyber-threats and attacks to study and analyze them. Behind researching these threats and attack mechanisms the motive was to dig out the threats that the "Industrial control system" (ICS) sector faces today. Per sources, the sham company specifically let some ports of its network be susceptible to attack and Voila!