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WGC 2020, Geothermal Hackathon Machine Learning, Reykjavik 2-3 May 2020
The theme is machine learning. We hope this is broad enough to let you take it where you want, from open data benchmarks to model for predicting fractures, or maybe you have some data for a predictive maintenance project, or want to look for trends in production time series. We will spend the first hour or so of the event defining projects and forming teams, so come ready to brainstorm!
Machine learning study: At least nine gender expressions exist in the brain
The terminology humans have conceived to explain and study our own brain may be mis-aligned with how these constructs are actually represented in nature. For example, in many human societies, when a baby is born either a "male" or a "female" box is checked on the birth certificate. Reality, however, may be less black and white. In fact, the assumption of dichotomic differences between only two sex/gender categories may be at odds with our endeavors that try to carve nature at its joints. Such is the case with a new paper, published recently in the journal Cerebral Cortex, where researchers argue that there are at least nine directions of brain-gender variation.
Artificial intelligence and digital initiatives to be scrutinised by MEPs News European Parliament
The Commission has announced in its 2020 Work Programme that it will put forward a "European Strategy for Europe - Fit for the Digital Age", setting out its vision on how to address the challenges and opportunities brought about by digitalisation. Boosting the single market for digital services and introducing regulatory rules for the digital economy should be addressed in this strategy. It is expected to build on issues covered by the e-commerce directive and the platform-to-business regulation. The White Paper on Artificial Intelligence (AI) will aim to support its development and uptake in the EU, as well as to ensure that European values are fully respected. It should identify key opportunities and challenges, analyse regulatory options and put forward proposals and policy actions related to, e.g. The purpose of the Data Strategy would be to explore how to make the most of the enormous value of non-personal data as an ever-expanding and re-usable asset in the digital economy.
3 reasons not to panic about artificial intelligence
Artificial intelligence (AI) has gained widespread attention in recent years. AI is viewed as a strategic technology to lead us into the future. Yet, when interacting with academics, industry leaders and policy-makers alike, I have observed some growing concerns around the uncertainty of this technology. It is understandable that people might have these concerns at this moment in time and we need to face them. As long as we do, I believe we don't need to panic about AI and that society will benefit from embracing it.
Spark AI Summit Reveals 2020 Keynote Speakers and Expanded Training - Databricks
SAN FRANCISCOโ(BUSINESS WIRE)โDatabricks, the leader in unified data analytics, today announced keynote speakers alongside expanded technical content and training at Spark AI Summit which is taking place June 22 โ 25 in San Francisco. To support continuous innovation and expansion of the conference content, Spark AI Summit welcomes Ben Lorica as the Program Chair. Spark AI Summit is the largest data and machine learning conference bringing together engineers, scientists, developers, analysts and leaders from around the world. "Over four days we'll gather the greatest minds in our industry to shape the future of big data, analytics and AI and share knowledge through training, over 180 talks and networking events. Spark AI Summit has become the destination for data teams to collaborate on solutions to solve the world's toughest problems," said Ali Ghodsi, cofounder and CEO at Databricks.
India's use of facial recognition tech during protests stirs criticism
NEW DELHI/MUMBAI, INDIA โ When artist Rachita Taneja heads out to protest in New Delhi, she covers her face with a pollution mask, a hoodie or a scarf to reduce the risk of being identified by police facial recognition software. Police in the Indian capital and the northern state of Uttar Pradesh -- both hotbeds of dissent -- have used the technology during protests that have raged since mid-December against a new citizenship law that critics say marginalizes Muslims. Activists are worried about insufficient regulation around the new technology, amid what they say is a crackdown on dissent under Prime Minister Narendra Modi, whose Hindu nationalist agenda has gathered pace since his re-election in May. "I do not know what they are going to do with my data," said Taneja, 28, who created a popular online cartoon about cheap ways for protesters to hide their faces. "We need to protect ourselves, given how this government cracks down."
#LondonAI Feb Meetup: Operational AI, Best Coding Practices, and Generative DL
Sometimes these notebooks find their way into production, but their code and structure are often far from ideal. In this session, we cover some best practices around creating and operationalising notebooks. We will talk about structure, code style, refactoring in notebooks, unit testing, reproducibility and more. Nikolay Manchev is a machine learning enthusiast and speaker. His area of expertise is Machine Learning and Data Science, and his research interests are in neural networks with emphasis on biological plausibility. Nikolay was a Senior Data Scientist and Developer Advocate at IBM [masked]) and currently acts as the Principal Data Scientist for EMEA at Domino Data Lab. Talk 3: Generative Deep Learning - The Key To Unlocking Artificial General Intelligence by David Foster Generative modelling is one of the hottest topics in AI. It's now possible to teach a machine to excel at human endeavours such as painting, writing, and composing music. In this talk, we will cover: - A general introduction to Generative Modelling - A walkthrough of one of the most utilised generative deep learning models - the Variational Autoencoder (VAE) - Examples of state-of-the-art output from Generative Adversarial Networks (GANs) and Transformer based architectures.
Ignite Deeptech - Ignite Sweden
Deeptech solves profound challenges by enabling revolutionary solutions in a wide range of domains, impacting our lives, societies and industries at a fundamental level that will reverberate through future generations to come. Together with THINGS, we invite corporates to a matchmaking event where you can meet disruptive startups in areas such as AI, robotics, security, radar, sensors, IoT, new materials, energy and biotechnology. These companies, born from science and engineering discoveries, with their new technology have the potential to create new sources of competitive advantage. By joining Ignite Deeptech, you will have the opportunity to explore the possibilities to collaborate and innovate with these startups and potentially impact society and industry on a massive scale. After the matchmaking, you can join THINGS Executive Summit, starting at 14:00.
Experiments in sustainable mobility
Unless you've been living under a rock for the past few years, you will be well aware of the trend towards more conscious consumption. In part recently, this is because of the Greta Thunberg effect, the rise Elon Musk's Tesla electric vehicles and more sustainable forms of transportation such as Bird and Uber JUMP. The future of our planet is very much front of mind for Gen-Z, and our cities (especially our large ones) are some of the most polluted places on earth. Just a few days ago, the UK government announced that the petrol and diesel ban will be brought forward 5 years to 2035 rather than 2040. To add to this, the UK government announced that to accelerate the shift to zero emission cars, all company cars will pay no company car tax in 2020โ2021.
Nect: How the Insurance Industry became the pioneer in user-friendly Identity Verification Digital Insurance Agenda Accelerate Innovation in Insurance
Nect has pioneered the Robo-Ident inside the German Insurance Industry. This new category of Identity Verification Systems is a Video-Ident based on Artificial Intelligence instead of human Call Center Agents. This leads to the clear benefit of zero waiting times for users, while providing the highest level of assurance in the customers identity. Both is essential for the new digital era of Insurances, as it increases the conversion rate and happiness factor of digital users. Nect managed to build the first no-wait identity verification, fulfilling all regulatory needs of insurance companies.