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How Online Privacy Issues Will Shape Future Use Of Artificial Intelligence In Advertising


Privacy restrictions are pushing many marketer toward the use of artificial intelligence in order to ... [ ] delive more targeted messages. The trend toward greater focus on privacy issues has been going on for some time and is starting to come to a head. More restrictions on the sharing and merging of data on individuals has been leading to advertisers to look for effective ways to target and reach consumers, including using the use of behavioral targeting supplemented by the use of artificial intelligence (AI). At a time when privacy regulations are sometimes fragmented and confusing but changing, it is critically important for marketers to monitor changes in the regulatory environment. Against this backdrop, I interviewed Sheri Bachstein, IBM's Global Head of Watson Advertising to get her insights and predictions on the future of privacy regulation and how it will affect advertisers, particularly as regards the use of AI and came away with three major takeaways: The European Union's General Data Protection Regulation and the California Consumer Privacy Act are already leading to the devaluation of traditional third-party cookies and the way many advertisers do business.

A High Schooler's Guide To Deep Learning And AI


The idea of creating a virtual human that can converse seamlessly with a user seems daunting to most people who are just getting into artificial intelligence and looking into how utterly complex existing commercial systems are. And their fears aren't misled - larger systems that contain a plethora of data samples and an intricate network architecture, and are responsible for providing the highest quality home assistant system are very difficult to replicate. But, creating virtual assistants at a smaller level has already been simplified to allow virtually anyone to make their own conversational persona. Over the past decade, the University of Southern California's Institute for Creative Technologies has developed countless virtual personalities for a variety of reasons: The institute has been able to create the amount of virtual humans as they have because of the technology they developed titled'NPCEditor'. As the name implies, the program allows the team to edit an NPC, or non-player-character. Developed by research scientist Anton Leuski and lead professor of NLP David Traum, the software has been simplified enough so that it is incredibly easy to create a virtual human.

Center for Applied Data Ethics suggests treating AI like a bureaucracy


A recent paper from the Center for Applied Data Ethics (CADE) at the University of San Francisco urges AI practitioners to adopt terms from anthropology when reviewing the performance of large machine learning models. The research suggests using this terminology to interrogate and analyze bureaucracy, states, and power structures in order to critically assess the performance of large machine learning models with the potential to harm people. "This paper centers power as one of the factors designers need to identify and struggle with, alongside the ongoing conversations about biases in data and code, to understand why algorithmic systems tend to become inaccurate, absurd, harmful, and oppressive. This paper frames the massive algorithmic systems that harm marginalized groups as functionally similar to massive, sprawling administrative states that James Scott describes in Seeing Like a State," the author wrote. The paper was authored by CADE fellow Ali Alkhatib, with guidance from director Rachel Thomas and CADE fellows Nana Young and Razvan Amironesei. The researchers particularly look to the work of James Scott, who has examined hubris in administrative planning and sociotechnical systems.

Artificial Intelligence Aids Gene Activation Discovery


With the aid of artificial intelligence, UC San Diego scientists have solved a long-standing puzzle in human gene activation. The discovery described in the journal Nature could be used to control gene activation in biotechnology and biomedical applications. Scientists have long known that human genes spring into action through instructions delivered by the precise order of our DNA, directed by the four different types of individual links, or "bases," coded A, C, G and T. Nearly 25% of our genes are widely known to be transcribed by sequences that resemble TATAAA, which is called the "TATA box." How the other three-quarters are turned on, or promoted, has remained a mystery due to the enormous number of DNA base sequence possibilities, which has kept the activation information shrouded. Now, with the help of artificial intelligence, researchers at the University of California San Diego have identified a DNA activation code that's used at least as frequently as the TATA box in humans.

Top Master's Programs In Machine Learning In The US


Organisations, regardless of size, are adopting emerging technologies like machine learning, data science, and AI to gain meaningful insights from large chunks of data in a bid to accelerate their growth. According to the Analytics and Data Science India Industry study 2020, advanced analytics, predictive modelling, and data science together account for 16% of the analytics revenues across enterprises. The rapid digital adoption has opened the skill gap wide. Many institutions across the world are now offering courses -- both online and offline -- to plug this gap. Here are the top ten Master's in Machine Learning in the US.

Deepfake Detectors can be Defeated, Computer Scientists Show for the First Time


Systems designed to detect deepfakes--videos that manipulate real-life footage via artificial intelligence--can be deceived, computer scientists showed for the first time at the WACV 2021 conference which took place online Jan. 5 to 9, 2021. Researchers showed detectors can be defeated by inserting inputs called adversarial examples into every video frame. The adversarial examples are slightly manipulated inputs which cause artificial intelligence systems such as machine learning models to make a mistake. In addition, the team showed that the attack still works after videos are compressed. "Our work shows that attacks on deepfake detectors could be a real-world threat," said Shehzeen Hussain, a UC San Diego computer engineering Ph.D. student and first co-author on the WACV paper.

🇺🇸 Machine learning job: Data Scientist, Growth at Pinterest (San Francisco, California, United States)


AI/ML Job: Data Scientist, Growth Data Scientist, Growth at Pinterest United States › California › San Francisco (Posted Jan 25 2021) Job description Millions of people across the world come to Pinterest to find new ideas every day. It's where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you'll be challenged to take on work that upholds this mission and pushes Pinterest forward. You'll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet.

How Google's Grand Plan to Make Stadia Games Fell Apart


In March 2019, Google CEO Sundar Pichai took the stage at the Game Developers Conference in San Francisco to tell gamers what he owed them. He wasn't a big gamer, he admitted. Google, though, was indebted to games. Games were the entry point for countless Googlers into computer science. Games like chess and G o helped train Google's DeepMind AI.

Medical Data and Robotics: Saving Lives, Improving Care


Imagine a future where a wide range of surgeries, no matter how complex, could be conducted remotely, a future where a patient in dire need of help could access the most highly regarded specialists in any area of medicine regardless of where on the globe that person may be. In 2019, Dr. Ryan Madder from Spectrum Health performed a series of simulated remote percutaneous coronary interventions (PCIs) via a control station outside of Boston. The robotic devices he was manipulating were in New York City and San Francisco. The robots successfully performed the procedure, which involves a catheter being used to place a small structure called a stent to open blood vessels in the heart that have been narrowed by plaque buildup, a condition known as atherosclerosis. A year earlier, Dr. Tejas Patel completed the first-in-human remote PCI cases in India, with about 20 miles between the physician and his patients.

Four reasons why Zoom is so exhausting and what you can do about it

Los Angeles Times

One week into shelter-in-place last year, Jeremy Bailenson was talking to a BBC reporter and had an epiphany. There's no need for us to be on Zoom," he thought. A phone call would have sufficed. This kernel of realization became an op-ed article that Bailenson penned in the Wall Street Journal titled, "Why Zoom Meetings Can Exhaust Us." Bailenson, a professor of communications and founder of the Virtual Human Interaction Lab at Stanford University, wanted to dig deeper. So he wrote an academic paper, published Tuesday in Technology, Mind, and Behavior, that boils down four underlying causes of videoconferencing fatigue.