It's been nearly 4 years since Tensorflow was released, and the library has evolved to its official second version. Tensorflow is Google's library for deep learning and artificial intelligence. Tensorflow is the world's most popular library for deep learning, and it's built by Google, whose parent Alphabet recently became the most cash-rich company in the world (just a few days before I wrote this). It is the library of choice for many companies doing AI and machine learning. In other words, if you want to do deep learning, you gotta know Tensorflow.
Artificial intelligence carries the promise of making industry more efficient and our lives easier. With that promise, however, also comes the fear of job replacement, hollowing out of the middle class, increased income inequality, and overall dissatisfaction. According to the quarterly CNBC/SurveyMonkey Workplace Happiness survey from October last year, 37% of workers between the ages of 18 and 24 are worried about AI eliminating their jobs. But a recent study from two researchers affiliated with the Stanford Institute for Human-Centered Artificial Intelligence (HAI) challenged this public perception about AI's impact on social welfare. The study found a relationship between AI-related jobs and increases in economic growth, which in return improved the well-being of the society.
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In research published today in Patterns, a team of engineers led by Wang demonstrated how a deep learning algorithm can be applied to a conventional computerized tomography (CT) scan in order to produce images that would typically require a higher level of imaging technology known as dual-energy CT. Wenxiang Cong, a research scientist at Rensselaer, is first author on this paper. Wang and Cong were also joined by coauthors from Shanghai First-Imaging Tech, and researchers from GE Research. "We hope that this technique will help extract more information from a regular single-spectrum X-ray CT scan, make it more quantitative, and improve diagnosis," said Wang, who is also the director of the Biomedical Imaging Center within the Center for Biotechnology and Interdisciplinary Studies (CBIS) at Rensselaer. Conventional CT scans produce images that show the shape of tissues within the body, but they don't give doctors sufficient information about the composition of those tissues.
Today Juniper Networks announced it was acquiring smart wide area networking startup 128 Technology for $450 million. This marks the second AI-fueled networking company Juniper has acquired in the last year and a half after purchasing Mist Systems in March 2019 for $405 million. With 128 Technology, the company gets more AI SD-WAN technology. SD-WAN is short for software-defined wide area networks, which means networks that cover a wide geographical area such as satellite offices, rather than a network in a defined space. Today, instead of having simply software-defined networking, the newer systems use artificial intelligence to help automate session and policy details as needed, rather than dealing with static policies, which might not fit every situation perfectly.
A major new report led by the Novartis Foundation and Microsoft shows how investment in data and AI is critical to drive the health system improvements needed to respond to and recover from the COVID-19 pandemic and the world's other greatest healthcare challenges. Reimagining Global Health through Artificial Intelligence: The Roadmap to AI Maturity was developed by the Broadband Commission Working Group on Digital and AI in Health, which the Novartis Foundation and Microsoft co-chair. Based on a landscape review of over 300 existing use cases of AI in health, the report shows how AI is already disrupting health and care. It then presents a roadmap to help countries use AI to transform their health systems from being reactive to proactive, predictive, and even preventive. Low- and middle-income countries (LMIC) that grapple with systemic health challenges such as a shortage of health workers, underserved populations, rapid urbanization and disinformation have the most to gain from AI – but they also have the most to lose.
Summary: Combining EEG brain function data, brain-computer interface technology, and artificial intelligence, researchers have created a system that can generate an image of what a person is thinking. Researchers at the University of Helsinki have developed a technique in which a computer models visual perception by monitoring human brain signals. In a way, it is as if the computer tries to imagine what a human is thinking about. As a result of this imagining, the computer is able to produce entirely new information, such as fictional images that were never before seen. The technique is based on a novel brain-computer interface.
In 2016 and 2017, Andrea Silenzi hosted and produced the hit dating podcast Why Oh Why, with the mission to chronicle her hilarious, maddening, and sometimes disastrous expedition into online dating. For guy listeners like me, it was also a window into what single women had to put up with when they were looking for love (or even just a decent date) on the internet. Her excruciatingly detailed exploration of how men and women approach digital courtship led Vulture to dub her "a genius of the cringe." After the show went on hiatus, Silenzi continued to post about the horrors of online dating on her Instagram account, a lifeline for fans who missed the show. But then this week, something else appeared on the account: She posted a very sweet engagement story, announcing her impending nuptials to a man reportedly from Hinge. Who will post screenshots of men saying things like, "Yeah i got the cure for coronavirus! I called Silenzi to ask.
Your brain reaches its'cognitive peak' - that is when it is most powerful - at age 35, according to a study, but it starts to decline by the time you are in your mid-40s. Ludwig Maximilian University of Munich researchers studied thousands of chess games over the past 130 years to see if our brains improve with age. They found a'hump-shaped curve' in human cognitive performance when measured over the average lifespan - increasing sharply up to age 20, peaking at 35, then declining gradually from the age of 45 onwards. We have also been getting smarter as a species collectively, according to the team, who discovered an increase in chess playing performance over the past 125 years. Your brain reaches its'cognitive peak' and is at its most powerful at about age 35, according to a new study, but it starts to go on the decline by the time you are 45.
Juniper Networks said it will acquire 128 Technology for $450 million in a move that will give it more artificial intelligence-based features through its networking portfolio. The company said it will it will acquire 128 Technology with cash and assumption of equity awards. Juniper said 128 Technology issued retention focused restricted stock units that'll be assumed by Juniper. Juniper has been beefing up its AI expertise and portfolio via acquisitions. In 2019, Juniper bought Mist Systems for $405 million.