The tech industry faces criticism for the significant energy used to power its computing infrastructure. In response, the major tech companies have made data centers more efficient, and worked to ensure they're powered at least in part by renewable energy. These changes are a step in the right direction, but don't come close to tackling the problem. Most large tech companies continue to rely heavily on fossil fuels, and when they do commit to efficiency goals, these are not open to public scrutiny and validation. Researchers Lotfi Belkhir and Ahmed Elmeligi estimate that the tech sector will contribute 3.0–3.6% of global greenhouse emissions by 2020, more than double what the sector produced in 2007 (Belkhir and Elmeligi, 2018).

Chinese citizens will soon have to start using facial identification in order to sign up for internet services or get a new mobile number. The Chinese government announced last month that residents applying for a new mobile or internet device will have their faces scanned by telecommunications carriers. The new rules will apply from December 1. China's Ministry of Industry and Information Technology (MIIT), which is the state agency responsible for internet and technology regulation, wrote that the decision was part of its moves to "safeguard the legitimate rights and interests of citizens in the cyberspace" and prevent fraud, according to Quartz. Recent reports indicate that China has around 854 million internet users.

The WiBD Afterwork event took place at Intel in Munich during the Oktoberfest, the famous celebration joined by millions of people from around the world who come to Bavaria to enjoy beer and a unique atmosphere. We had around one hundred attendees who enjoyed our event with us while the rest of the city was celebrating. The event kicked off as usual with an introduction about Women in Big Data from the organisers Nahia Orduna and Pat Piritburana, who presented the vision of the organisation and the Munich Chapter. The first speaker was Oliver Buschmann, Client Business and Platform Planning at Intel Corporation. He delivered a presentation around "AI: from Buzzword to reality".

What role will libraries, archives, and museums play, as trusted sources of information, when more and more of the information we consume is algorithmically generated? How will the values of neutrality, privacy, authority, and preservation that these institutions advance help shape AI. How will our institutions adapt these values to a changing landscape? How can we put AI to work for us, to transform and elevate our services beyond 20th century modalities? The conference day will convene thought and practice leaders from academia, libraries, industry and society to address these questions and help shape the future of AI in libraries, and the role of libraries in AI.

Stanford Libraries will host the 2nd International Conference on AI for Libraries, Archives, and Museums over three days, December 4, 5 & 6, 2019. The first'Fantastic Futures' conference, which took place in December 2018 at the National Library of Norway in Oslo, initiated a community-focused approach to addressing the challenges and possibilities for libraries, archives, and museums in the era of artificial intelligence. The Stanford conference will expand that charge, adding to the plenary gathering a full day of workshops and a half day'unconference' shaped by the interests of those assembled. Wednesday, December 4, will be a day of plenary sessions to introduce attendees to a range of topics in AI, from the concerns of algorithmic bias and data privacy to the exciting developments in transforming discovery and digital content curation (see the full program). The two keynote addresses reflect Stanford Library's position as an academic center in close proximity to Silicon Valley: Bryan Catanzaro, the Vice President of Applied Deep Learning at Nvidia, will speak to the important contribution he thinks libraries can make in AI.

Deep learning also known as deep structured learning or hierarchical learning is part of machine learning based on artificial neural networks. This learning methodology can be supervised, semi-supervised or unsupervised. Deep learning architectures such as neural networks and convolutional neural networks have been applied to fields including computer vision, speech recognition, natural language processing, audio recognition, social network filtering, machine translation where they have produced results comparable to and in some cases superior to human experts. They used a combination of algorithms and mathematics they called "threshold logic" to mimic the thought process. Since that time, Deep Learning has evolved steadily, with only two significant breaks in its development.

Artificial intelligence, including machine learning, presents exciting opportunities to transform the health and life sciences spaces. It offers tantalizing prospects for swifter, more accurate clinical decision making and amplified R&D capabilities. However, open issues around regulation and clinical relevance remain, causing both technology developers and potential investors to grapple with how to overcome today's barriers to adoption, compliance, and implementation. Over the past few years, the U.S. Food and Drug Administration (FDA) has been taking incremental steps to update its regulatory framework to keep up with the rapidly advancing digital health market. In 2017, the FDA released its Digital Health Innovation Action Plan to offer clarity about the agency's role in advancing safe and effective digital health technologies, and addressing key provisions of the 21st Century Cures Act.

One of the strangest slogan created by the AI robot is'Chicken Fries For Creep King' Burger King's advertising team has enlisted the help of an AI robot to write the slogans for its latest TV adverts. The fast-food brand is testing a beta version of a new deep learning algorithm to develop a series of adverts. Researchers trained the algorithm to write slogans by feeding it thousands of fast-food commercials, as well as reports from industry research. Using this data, the algorithm, was able to identify key patterns of slogans that worked and didn't work, and develop its own. However, the results are somewhat questionable.

In 1980, according to Inc., Apple's then-president Mike Scott sent out an office memo: "EFFECTIVE IMMEDIATELY!! NO MORE TYPEWRITERS ARE TO BE PURCHASED, LEASED, etc., etc. Apple is an innovative company. We must believe and lead in all areas. If word processing is so neat, then let's all use it! Goal: by 1-1-81, NO typewriters at Apple... We believe the typewriter is obsolete. Let's prove it inside before we try and convince our customers."

Washington D.C: In a new advancement in science, researchers have found that an automated; artificial intelligence (AI) screening system is capable of accurately discovering diabetic retinopathy 95.5 per cent of the times. Moreover, the system doesn't require inputs from an expert ophthalmologist and it can provide a reading in just 60 seconds. Researchers presented these findings at AAO 2019, the 123rd Annual Meeting of the American Academy of Ophthalmology. Diabetic retinopathy can develop over time in people with diabetes, especially when they have poor control over their blood sugar levels. High blood sugar can damage tiny blood vessels at the back of the eye.