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How Google Might Rank Image Search Results - SEO by the Sea

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We are seeing more references to machine learning in how Google is ranking pages and other documents in search results. That seems to be a direction that will leave what we know as traditional, or old school signals that are referred to as ranking signals behind. It's still worth considering some of those older ranking signals because they may play a role in how things are ranked. As I was going through a new patent application from Google on ranking image search results, I decided that it was worth including what I used to look at when trying to rank images. Images can rank highly in image search, and they can also help pages that they appear upon rank higher in organic web results, because they can help make a page more relevant for the query terms that page may be optimized for.


What Are Deepfakes and What Are Their Applications?

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There is a branch in Artificial Intelligence that deals with creating convincing videos, images, and other digital media that seems so realistic that it is impossible to determine its genuineness. This origin of the concept of deepfakes dates back to the 1990s where it was developed for educational purposes, but came into limelight due to its inappropriate use in 2017. Once what developed as an advancing technology is today on the verge of creating international wars- here's how! Deepfakes are being taken disadvantage of by various people involved in creating public hatred. By diminishing the fine line between illusion and reality, they have been successful in targeting celebrity people from a wide range of fields such as politics, sports, Hollywood, etc. Right from Obama to Trump, no one has been spared and thus, the concept of deepfake has dug a grave for itself. However, advancing more with their malicious intent, people have been creating pornographic content or revenge pornography as a result of disputes, quarrels, or simply, for the sake of defamation.


When will human growers become obsolete?

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Greenhouse automation has come a long way in the past two decades. Give it another two decades, and it may completely overshadow the human element in the greenhouse. At least, that's a conclusion you might draw when looking at the results of the Autonomous Greenhouse Challenge and the implications of it in horticultural practice. In a webinar hosted by one of the challenge's sponsors, Heliospectra, AI was discussed from three different perspectives: academia, tech suppliers, and the grower. Kicking off the webinar, Silke Hemming, head of the scientific research team Greenhouse Technology within Wageningen University & Research, shared some insights provided by the challenge.


The State of AI - MIT Technology Review

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Dr. Andrew Ng is a globally recognized leader in artificial intelligence. He was until recently chief scientist at Baidu, where he led the company's approximately 1,300-person AI group and was responsible for driving its global AI strategy and infrastructure. He was also the founding lead of the Google Brain team. In addition, Dr. Ng is co-chairman and cofounder of Coursera, the world's leading MOOC (massive open online course) platform, and an adjunct professor of computer science at Stanford University. He has authored or coauthored over 100 research papers in machine learning, robotics, and related fields.


How COVID-19 sparked a revolution in healthcare machine learning and AI – IAM Network

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In the past six months, COVID-19 has evolved from a speck on the world radar to a full-blown pandemic. While it has claimed the lives of many and shed a massive spotlight on some of the major issues in healthcare, it has also served as a catalyst for innovation. As with nearly every element of the healthcare system, applications of machine learning and artificial intelligence (AI) have also been transformed by the pandemic. Although the power of machine learning and AI was being put to significant use prior to the Coronavirus outbreak, there is now increased pressure to understand the underlying patterns to help us prepare for any epidemic that might hit the world in the future. How have AI interventions fared so far?


Hyundai Robotics secures $42 million investment from KT – IAM Network

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MLflow Project Joins the Linux Foundation » ADMIN Magazine

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The platform was created in response to the complicated process of machine learning model development. Unlike traditional software development, machine learning models must not only track code versions, but versions of data sets, model parameters, and algorithms. Because of this, the variables that must be tracked and managed can grow exponentially. MLflow prevents the process from overwhelming scientists, educators, developers, and other users by providing a platform to fully manage end-to-end machine learning development lifecycle, which includes everything from data prep, deployment, experiment tracking, creating reproducible runs, model sharing, and collaboration. Matei Zaharia, the original creator of Apache Spark and creator of MLflow, said of his platform, "MLflow has become the open source standard for machine learning platforms because of the community of contributors, which consists of hundreds of engineers from over a hundred companies. " Zaharia concludes with, "Machine learning is transforming all major industries and driving billions of decisions in retail, finance, and health care. Our move to contribute MLflow to the Linux Foundation is an invitation to the machine learning community to incorporate the best practices for ML engineering into a standard platform that is open, collaborative, and end-to-end."


Artist uses AI to reveal what historical figures really looked like

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A Dutch artist is using modern technology to create realistic photo-style portraits of famous figures only depicted in paint and sculpture. Bas Uterwijk, from Amsterdam, explained that he wanted to see if he could create realistic digital renderings of key faces in history, including Vincent Van Gogh and Napoleon. He also turned his talents to statues like Michelangelo's David and the Statue of Liberty. Bas uses Artbreeder, a'deep-learning' software which can create life-like images from scratch or based on a composite of different portraits. Bas Uterwijk, from Amsterdam, can create likenesses of famous historical figures using'deep-learning' technology.


IBM Research at ACL 2020

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The 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), the premiere annual conference on AI and language, takes place July 5-10. As is the case with most events currently, ACL will be virtual this year due to COVID-19. At IBM Research AI, we’re excited to share with you — wherever you might be in the world — all the work we’ll have at ACL 2020 designed to advance AI for the enterprise. The ability of AI to master language has been one of IBM Research AI’s key areas of focus for years. The field of Natural Language Processing (NLP) is constantly evolving in efforts to better outfit AI with the ability to communicate similarly to how us humans can. It’s an incredibly challenging area of research. An AI must identify, decipher, and navigate through natural language barriers — tasks like slang, idioms, acronyms, different languages and extracting meaning from multi-format documents, to name a few. To tackle these challenges, IBM released earlier this year a new, four-part mastering language taxonomy…


Use Cases of Artificial Intelligence in Finance Industry

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Artificial Intelligence in today's digital world is playing the role of a real game-changer. This technology is changing the working of each and every industry at a great pace. Recently Artificial Intelligence has shaken its hand with the finance industry. The AI systems can examine and trace millions of data points. They also find the trending patterns which people are missing. Better conversational tress is created with a combination of AI and Natural Language Processing.