Former PPPL intern honored for outstanding machine learning poster

#artificialintelligence

The American Physical Society (APS) has recognized a summer intern at the U.S. Department of Energy's (DOE) Princeton Plasma Physics Laboratory (PPPL) for producing an outstanding research poster at the world-wide APS Division of Plasma Physics (DPP) gathering last October. The student, Marco Miller, a senior at Columbia University majoring in applied physics, used machine learning to accelerate a leading PPPL computer code known as XGC as a participant in the DOE's Summer Undergraduate Laboratory Internship (SULI) program in 2019. The modifications, which will enable the XGC code to calculate more quickly, could help expand the physics included in detailed simulations of the plasma that fuels fusion reactions. The poster, prepared under the mentorship of PPPL physicist Michael Churchill, showed how Miller used machine learning techniques in his research and was presented at the APS-DPP conference in Fort Lauderdale, Florida. "It felt great to get the award," Miller said.


NYC Data Science Academy

#artificialintelligence

This 20-hour Machine Learning with Python course covers all the basic machine learning methods and Python modules (especially Scikit-Learn) for implementing them. The five sessions cover: simple and multiple Linear regressions; classification methods including logistic regression, discriminant analysis and naive bayes, support vector machines (SVMs) and tree based methods; cross-validation and feature selection; regularization; principal component analysis (PCA) and clustering algorithms. After successfully completing of this course, you will be able to explain the principles of machine learning algorithms and implement these methods to analyze complex datasets and make predictions in Python.


r/MachineLearning - [D] [R] Any new tricks for training GANs on discrete data?

#artificialintelligence

The original GAN paper by Goodfellow et al did not work for discrete data because of the inability to the backproagate gradient to the generator. Have there been any recent developments in this directions since, allowing the adversarial idea to be implemented for discrete data? And still take advantage of the automatic differentiation (backpropagation) facilities of libraries like PyTorch / Tensorflow?



Reflecting the Past, Shaping the Future: Making AI Work for International Development Digital Development U.S. Agency for International Development

#artificialintelligence

We are in the midst of an unprecedented surge of interest in machine learning (ML) and artificial intelligence (AI) technologies. These tools, which allow computers to make data-derived predictions and automate decisions, have become part of daily life for billions of people. Ubiquitous digital services such as interactive maps, tailored advertisements, and voice-activated personal assistants are likely only the beginning. Some AI advocates even claim that AI's impact will be as profound as "electricity or fire" that it will revolutionize nearly every field of human activity. This enthusiasm has reached international development as well.


The Peggy Smedley Show: The Complexity of IoT

#artificialintelligence

Peggy is joined by Olivier Bloch, principal program manager, Azure IoT developer ecosystem, Microsoft, and they discuss the complexity of the IoT. He says every IoT application is unique, but there are ways to build upon what others have already developed to transform and grow businesses, which is where IoT Plug and Play comes in. This open source language is a way for partners, such as hardware and solution builders, to work better together. He also discusses the importance of security when implementing IoT and how Microsoft is simplifying the complexity and changing the future of the industry.


Biometrics on Mobile: Unlock the Nokia 2.3 Smartphone With Your Face - FindBiometrics

#artificialintelligence

HMD Global has announced that its new Nokia 2.3 smartphone is now available for pre-order in the United States. The Android 10 device offers a 6.2″ HD screen and a 13MP/2MP dual camera with a "Recommended Shot" feature that will automatically take a few additional photos before and after the camera shudder is pressed. The feature is supposed to help users select the optimal version of their photo, which is to say that it will recommend the shot in which everyone is smiling and generally looks their best. Other Nokia 2.3 highlights include a dedicated Google Assistant button and a battery that can last for up to two days thanks to its Adaptive Battery technology. The tech uses AI to gain a better understanding of a user's app behavior and optimize the performance of the phone.


CB Insights: AI startup funding hit new high of $26.6 billion in 2019

#artificialintelligence

As part of an annual look at global AI investment trends, CB Insights today reported that AI startups raised a record $26.6 billion in 2019, spanning more than 2,200 deals worldwide. That's compared to roughly 1,900 deals totaling $22.1 billion in 2018 and about 1,700 deals totaling $16.8 billion in 2017. The reported high recorded by CB Insights in the AI in Numbers report is in line with analysis by other organizations keeping an eye on investment in the AI ecosystem. The National Venture Capital Association earlier this month said that although overall venture capital spending took a dip last year, investors spent a record $18.4 billion on AI startups in the United States in 2019. With investment highest in fields like autonomous driving, drug research, finance, and facial recognition, the AI Index 2019 report released last month found more than $70 billion in global private investment in AI.


Insider's Guide to Acing Data Science Interviews

#artificialintelligence

You've spent months studying data science, now it's time to find a job in the industry. Fortunately, companies all over the world are looking to hire data scientists -- and fast. According to LinkedIn's 2020 U.S. Emerging Jobs Report, skills related to Machine Learning, Deep Learning, TensorFlow, Python, Natural Language Processing, etc. seen more than 70% annual growth. According to an IBM survey, the openings for data and analytics talent in the US will continue to increase, reaching 133% growth in 2020, and creating more than 700,000 openings. Qualified candidates will have a multitude of vacancies to choose from when ready to seek out a new position in the field.


Biometrics, AI, machine learning innovations to boost gaming industry growth

#artificialintelligence

Casino executives, industry analysts and lawyers attended a conference at the UNLV Boyd School of Law to consult on how biometrics, AI and machine learning could shape the future of Las Vegas casinos, writes the Nevada Independent. While there are many opportunities for the gaming industry, most machine learning and facial recognition-enabled product ideas addressed customer service and customer recognition. These include slot machines that leverage facial biometrics to recognize important or banned players, and reduce fraud attempts, or facial recognition-equipped tables to help pit managers identify and track known players. "What we're seeing is this introduction of technology into the gaming industry in ways we've never seen before, and because of it, it started to raise issues -- or questions -- as to how this works and what the ramifications could be for things like patron privacy, anonymity and data protection," said Anthony Cabot, Distinguished Fellow in Gaming Law at the UNLV Boyd School of Law and event organizer. While speakers focused on presentations about competing laws and technology problems, there was not enough discussion on how to solve these problems, according to the report, yet Cabot hopes the gaming industry and regulators will join forces to deliver solutions.