If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
The Indian Space Research Organization (ISRO) is taking one giant leap for robot-kind. The space agency is sending the first half-humanoid along with an unmanned mission into space set for December. Named Vyommitra, the legless'female' robot speaks two languages, recognizes humans and answers questions like a living person. The purpose of the spacefaring machine is to conduct experiments before India launches its first manned mission to space in 2022. Scientists showed Vyommitra off a media event on Wednesday where she greeted spectators with'Hi, I'm Vyommitra the first prototype of half humanoid,' India Today reported.
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.
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.
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?
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.
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.
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.
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.
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.