• BBC Machine Learning Fireside Chats Presents: The AdTech Apocalypse

    London Business School - Sammy Ofer Centre

    **IMPORTANT NOTICE PLEASE READ** Please register and download your tickets for this event here: https://www.eventbrite.co.uk/e/bbc-machine-learning-fireside-chats-presents-the-adtech-apocalypse-tickets-73091535751 RSVP on MeetUp is not enough , you will be asked to show your Eventbrite ticket at the door. This MeetUp will be held at the London Business School - Sammy Ofer Centre (The Old Marylebone Town Hall, Westminster Council House, 117 Marylebone Rd, Marylebone, London NW1 5PT) **THANK YOU** Over the last few years, digital advertising has experienced some bad press. The dominating forces of Google and Facebook, alleged manipulation of voting behaviours, a careless approach to data privacy and algorithms chasing wrong signals like demographics…the list of crimes continues and might lead the public to think - is this truly the end? However, despite these challenges, consumers continue shifting their buying and decision-making habits online. Access to more data, greater computing power and ML give technologists the ability to innovate. AdTech facilitates the sale of products for advertisers and brands, and media organisations are holding on to their prime revenue stream. Now, in the face of upcoming elections, we'll speak with technologists and industry experts and ask what can be done to avoid the AdTech apocalypse. We will be joined by : Lara Izlan, Director, Advertising Data & Analytics at ITV - Lara is responsible for developing data partnerships, products, and analytics to power ITV's advanced advertising proposition. Lara's previous roles in media brands like Disney and AOL, and her experience leading programmatic teams at Telegraph and AutoTrader put her at the heart of the ad tech sector. Lara also holds a full time MBA from LBS. Ozoda Muminova - Founder and Director of The Good Insight, which delivers data & research for ethical companies. Previously worked in data & research roles in the media sector: Guardian, BBC, Telegraph. Dr Douglas McIlwraith, VP Data Science, Unruly - Douglas holds a PhD from Imperial College London and has spent nearly a decade working in advertising technology. He currently leads the data science and data engineering functions at Unruly, a News Corp company. He is the Author of the Manning title ‘Algorithms of the Intelligent Web, 2nd Ed’ and has published in diverse fields of computer science including machine learning, distributed systems, ubiquitous computing, pervasive sensing, robotics, and security. We will discuss the true state of technology, current and future applications of ML within the advertising ecosystem. We will explore the impact on businesses and consumers, benefits and risks for the media industry and what makes for effective governance. Finally, we will ask whether responsibilities lie with creators of algorithms, businesses, public and/or the government. Please click on this ad (it will track you down sooner or later) to join us for a glass of beverage and nibbles on the evening of the 9th of October at the Sammy Ofer Centre at London Business School. - Magda We will start with some food and drinks, then a hosted discussion followed by a Q&A with the audience. Registration begins from 18:30 for a prompt 19:00 start – food and drinks will be provided from 18:30pm. Join the conversation and follow us on Twitter: @BBC_MLFireside This event is for ages 18+ only. Please note that by attending this event you are agreeing to be filmed and/or photographed the material of which may be used on BBC websites and social media.

  • BBC Machine Learning Fireside Chats Presents: The Battle Against Disinformation

    **IMPORTANT NOTICE PLEASE READ** Please register and download your tickets for this event here: https://www.eventbrite.co.uk/e/bbc-machine-learning-fireside-chats-presents-the-battle-against-disinformation-tickets-62846727253 RSVP on MeetUp is not enough , you will be asked to show your Eventbrite ticket at the door. This MeetUp will be held at our home location, BBC Broadcast Centre, White City (201 Wood Lane, London W12 7TQ). **THANK YOU** Please join us at our home location of BBC Broadcast Centre, White City Place, for the July edition of our Machine Learning Fireside Chats. The Battle Against Disinformation All around the world, fake news is now the poison in the bloodstream of our societies – destabilising democracy and undermining trust in institutions and the rule of law’ - Speech by Tony Hall, Director-General of the BBCM - Lord Speaker Lecture – Wednesday 20th March 2019 Propaganda, deception, suppression of free speech, have all been enduring issues for every society, but in recent years terms like ‘fake news’ and misinformation have been heard in public discourse with alarming regularity. So, what is happening to make it a live issue for news organisations? Can anything be done to push back against the wave of disinformation? What type of interventions are needed? Can ML help tackle disinformation? At this month’s fireside chat we’ll hear from: Rasha Abdul-Rahim, Deputy Director, Amnesty Tech, Amnesty International Sam Jeffers, Managing Director, The Shop Jon Lloyd, Head of European Campaigns (Advocacy), Mozilla Dr David Corney, NLP Engineer at Full Fact We will start with some food and drinks, then a hosted discussion followed by a Q&A with the audience. Registration begins from 18:30 for a prompt 19:00 start – food and drinks will be provided from 18:30pm. Join the conversation and follow us on Twitter: @BBC_MLFireside Please make sure you download a ticket from Eventbrite as you will NOT be able to attend without it. You will be asked to show your Eventbrite ticket (either paper or via electronic device will be fine - we just need to scan the QR code) and a form of photo ID at the door. Your bags will also be checked by security. This event is for ages 18+ only. Please note that by attending this event you are agreeing to be filmed and/or photographed the material of which may be used on BBC websites and social media.

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  • BBC ML Fireside Chats presents: Predictive machines meet human

    **IMPORTANT NOTICE PLEASE READ** Please register and download your tickets for this event here: https://www.eventbrite.co.uk/e/predictive-machines-meet-human-can-human-centric-creative-process-be-improved-by-predictions-tickets-60391172623 RSVP on MeetUp is not enough, you will be asked to show your Eventbrite ticket at the door. **THANK YOU** Predictive machines meet human. Can human centric creative process be improved by predictions? We can’t possibly exhaust this topic in one night…! But it feels like we We can’t possibly exhaust this topic in one night…! But it feels like we need to start somewhere. We already established that it is unlikely robots will take us over in creative production. Not soon anyway. However predictive machines are making their way into newsrooms and studios. Sometimes to make it cheaper, sometimes to make it better. Either way it turns out to be a spectacularly complicated process to create this human plus machine dream team. This time we will explore the state of the art of collaboration between machine generated predictions and people in the creative process. What is the work ahead of us in order to make this join venture better? What is going to be the role of increased interpretability of predictions, the role of interfaces and how the work of content creator is going to change? Finally what are the dangers, and consequences to the business and the audience? We have an amazing outline with Chief Data Scientist from Channel 4, Greg Detre for a start and I will be supported by Atte Jääskeläinen, a renowned ML researcher and a former Director of News and Current Affairs at Finnish Yle, considered to be besides BBC a leading innovator among public service broadcasters. Magda Piatkowska We will start with some food and drinks at 18:30, then a hosted discussion at 19:00 followed by a Q&A with the audience. Join the conversation and follow us on Twitter: @BBC_MLFireside Please make sure you download a ticket from Eventbrite as you will NOT be able to attend without it. You will be asked to show your Eventbrite ticket and a form of photo ID at the door. Your bags will also be checked by security. This event is for ages 18+ only. Please note that by attending this event you are agreeing to be filmed and/or photographed the material of which may be used on BBC websites and social media. See you there!

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  • BBC Machine Learning Fireside Chats Presents: AI’s Hurdles to Doing Good

    **IMPORTANT NOTICE PLEASE READ** Please register and download your tickets for this event here: https://www.eventbrite.co.uk/e/bbc-machine-learning-fireside-chats-presents-ais-hurdles-to-doing-good-tickets-56990560300 RSVP on MeetUp is not enough , you will be asked to show your Eventbrite ticket at the door. This MeetUp will be held at our home location, BBC Broadcast Centre, White City (201 Wood Lane, London W12 7TQ). **THANK YOU** Please join us at our home location of BBC Broadcast Centre, White City Place, for the November edition of our Machine Learning Fireside Chats. AI’s Hurdles to Doing Good AI is being used in myriad ways to enable social good but how does the [hopefully the government as well] charity sector - not traditionally at the sharp end of technology - ensure it doesn’t go awry, especially when charitable organisations serve some of the most vulnerable people, and public trust and goodwill are particularly important to their core mission. How easy is it, really, to achieve social good with AI? Is the data available to support the effort? Are there enough experts who understand not just algorithms but the environments they’re working in? How do you even begin to check your project for ethical risks. And does the cost of managing an ongoing project outweigh its benefits. How do smaller charities cope? Data, people and ethics - what’s the biggest hurdle? At this month’s fireside chat we’ll hear from: Julie Dodd, Director of Digital Transformation and Communication @ Parkinsons UK Julie is Parkinsons UK’s director of digital transformation and communication. She’s also written The New Reality, a study into how non-profit organisations can approach digital transformation and use digital technology for change. Among other things, Parkinsons is currently working with BenevolentAI to try and identify at least three currently available medicines that can be repurposed to address the condition and two brand-new ways to treat it with new drugs. Giselle Cory, Executive Director @ DataKind UK DataKind is an organisation that is itself a charity whose volunteers support other charities and social enterprises, providing data science expertise and services such as exploratory analysis and prototyping. Projects they’ve worked on include helping homeless organisations identify issues people sought advice on before becoming homeless and analysing possible reasons why people progress differently in a shelter. It’s helped Global Witness uncover potential corruption with open data and the Citizens Advice Bureau better identify emerging social issues to support their staff training. Michelle Eaton, Programme Manager in the Government Innovation Team - Data @ Nesta Michelle worked with the Essex Police Force for 11 years - starting in community policing before moving on to performance analysis, and then to strategic change, where she led the Essex Centre for Data Analytics. Now she oversees Nesta’s Offices of Data Analytics programme, which helps governments reform their services, and recently wrote a blog defending the use of AI in policing. We will start with some food and drinks, then a hosted discussion followed by a Q&A with the audience. Registration begins from 18:30 for a prompt 19:00 start – food and drinks will be provided from 18:30pm. Join the conversation and follow us on Twitter: @BBC_MLFireside Please make sure you download a ticket from Eventbrite as you will NOT be able to attend without it. You will be asked to show your Eventbrite ticket (either paper or via electronic device will be fine - we just need to scan the QR code) and a form of photo ID at the door. Your bags will also be checked by security. This event is for ages 18+ only. Please note that by attending this event you are agreeing to be filmed and/or photographed the material of which may be used on BBC websites and social media.

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  • BBC ML Fireside Chats presents: Show me the M(L)oney

    WeWork 2 Eastbourne Terrace

    **IMPORTANT NOTICE PLEASE READ** Please register and download your tickets for this event here: https://www.eventbrite.co.uk/e/bbc-machine-learning-fireside-chats-presents-show-me-the-mloney-tickets-53853046913 RSVP on MeetUp is not enough, you will be asked to show your Eventbrite ticket at the door. **THANK YOU** Show me the M(L)oney In 2017 the VC industry invested $15.2bn into ML related start-ups according to CBInsights. While some argue that the VC investment into the space is plateauing, there is no denying that this is big cash. So what impact does this have on the developments of machine learning? Does this mean that machine learning is only applied to industries that allow startups a quick exit? Are smart people being training to join start ups so that they can then be acquihired at large salaries? Or are we actually seing the end of startup innovation as large tech organisations compete to pay large salaries to hire rare deep-learning researchers? And if the future is AI everywhere what impact does it have on most of us if this technology is mostly developed in privately funded companies? - Gabriel Our confirmed guests are: Meri is an investor with Oxford Capital, an early stage Venture Capital fund in the UK. He is particularly focused on digital health and the future of mobility, but above all looks to back ambitious teams tackling huge societal or commercial problems. His investments include Attest, Latent Logic and he is involved with Push Doctor, Moneybox, Outplay and Oxford BioTherapeutics in the OC portfolio. Tong Gu: As an Investment Lead in ADV her job is to ensure their investments reach the most promising tech-enabled startups growing under the leadership of ambitious founders. A geek at heart, Tong left her career as a VP in tech and media investment banking to found a successful data analytics startup. Having herself raised venture funding--she understands the importance of building lasting relationships between entrepreneurs and the investors who support them. She holds an MBA from INSEAD and an BEng in Information Systems Engineering from Imperial College London. David Kelnar is a Partner and the head of research at MMC. David has eight years of entrepreneurial leadership experience in early stage companies, having served as the founding CEO and CFO, respectively, of two consumer service technology companies, and is an advisor to a range of early stage ventures. Previously, David was an equity research analyst and investor in the European technology sector, at Goldman Sachs in London and a hedge fund in New York. David graduated with double First Class Honours in Philosophy from the University of Cambridge. Linda Jiang is an advisor at Baidu Ventures (BV). BV is an independent venture fund established by Baidu in 2017, focusing on AI and data enabled companies. She is also a serial entrepreneur and start-up advisor. Linda was a Co-founder of Comet Labs, an AI and robotics accelerator based in Beijing and San Francisco. Prior to Comet Labs, Linda was a Co-founder of UMENG which grew into the largest mobile analytics platform in China and was then acquired by Alibaba. Linda has a MSc in Management at Royal Holloway University in London, She is now reading Cognitive and Decision Sciences at UCL. We will start with some food and drinks at 18:30, then a hosted discussion at 19:00 followed by a Q&A with the audience. Join the conversation and follow us on Twitter: @BBC_MLFireside Please make sure you download a ticket from Eventbrite as you will NOT be able to attend without it. You will be asked to show your Eventbrite ticket and a form of photo ID at the door. Your bags will also be checked by security. This event is for ages 18+ only. Please note that by attending this event you are agreeing to be filmed and/or photographed the material of which may be used on BBC websites and social media. See you there!

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  • BBC ML Fireside Chats presents: The Growth of AI in Supply Chain

    **IMPORTANT NOTICE PLEASE READ** Please register and download your tickets for this event here: https://www.eventbrite.co.uk/e/bbc-machine-learning-fireside-chats-presents-the-growth-of-ai-in-supply-chain-tickets-51955794179 RSVP on MeetUp is not enough , you will be asked to show your Eventbrite ticket at the door. This MeetUp will be held at our home location, BBC Broadcast Centre, White City (201 Wood Lane, London W12 7TQ). **THANK YOU** Please join us at our home location of BBC Broadcast Centre, White City Place, for the November edition of our Machine Learning Fireside Chats. Let's gather around the 4K TV fireplace for a bite to eat and a beverage, and tune into a panel discussion of industry practitioners and experts. The Growth of AI in Supply Chain "Amazon had 45,000 robots working in their 20 fulfillment centers a year ago. They were predicting to double that each year. Yet my predicted shopping basket has not yet arrived at my door before I ordered it. I also have not seen Robby (robby.io) picking up the items I did not want at the end... Research says that 47% of supply chain leaders believe that AI technology will be disruptive to the industry. From accurate and personalized demand forecasts and minimized inventory levels, self-driving trucks in stock delivery driving fully optimized routes, warehouses populated (and planned by!) robots and automated sorting and packaging. There are organizations heavily betting on that transformation and investing significant capital in research and testing. No wonder supply chain is estimated to generate 12% contribution to the economy in the US, looks like the risk of not investing is higher than doing nothing. This time over a glass of wine and nibbles we will have data scientists, researchers and technologists discussing the latest progression of data enabled innovation in the warehouses, logistics and transportation. As well as the ethical and economic impact of the changes in progress. And while this is happening, I am still hoping for a proper post-Xmas sales despite all efforts and promise of technology to fully optimize inventories and remove left overs...see you there!" - Magda Piatkowska Host @ BBC Machine Learning Fireside Chats Team Our confirmed guests are: Katherine James, Royal Mail Kat James is the Deputy Head of Data Science at Royal Mail, where she has been working on developing AI assistants for front line colleagues, using GPS data from IoT to model behaviors and team growth and mentoring. She has a background in Statistical Genetics, obtaining a PhD from Oxford specialising in statistical analysis of HIV-2 next-gen sequencing data and completing a Post Doc in Kumamoto, Japan. Before joining Royal Mail in June 2017, she worked at British Airways on marketing personalisation and at Aviva on Next Best Action and NLP for contact center interactions. She is passionate about the role Data Science can play in driving innovation and efficiencies, especially in traditional industries. She has expertise in recommender systems, hypothesis testing and statistical inference. Michael Todd, Deliveroo Kostas Perifanos, Lead Machine Learning Engineer, Argos We will start with some food and drinks, then a hosted discussion followed by a Q&A with the audience. Registration begins from 18:30 for a prompt 19:00 start – food and drinks will be provided from 18:30pm. Join the conversation and follow us on Twitter: @BBC_MLFireside Please make sure you download a ticket from Eventbrite as you will NOT be able to attend without it. You will be asked to show your Eventbrite ticket (either paper or via electronic device will be fine - we just need to scan the QR code) and a form of photo ID at the door. Your bags will also be checked by security. This event is for ages 18+ only. Please note that by attending this event you are agreeing to be filmed and/or photographed the material of which may be used on BBC websites and social media. See you there!

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  • BBC ML Fireside Chats presents: The Price of Convenience

    **IMPORTANT NOTICE PLEASE READ** Please register and download your tickets for this event here: https://www.eventbrite.co.uk/e/bbc-machine-learning-fireside-chats-presents-the-price-of-convenience-tickets-50636883281 RSVP on MeetUp is not enough , you will be asked to show your Eventbrite ticket at the door. This MeetUp will be held at our home location, BBC Broadcast Centre, White City (201 Wood Lane, London W12 7TQ). **THANK YOU** Back from our summer hiatus, please join us at our home location of BBC Broadcast Centre, White City Place, for the October edition of our Machine Learning Fireside Chats. Let's gather around the 4K TV fireplace for a bite to eat and a beverage, and tune into a panel discussion of industry practitioners and experts. There has always been tension between personal data collection and the services using that data – particularly highlighted by the security vs civil liberties debate. The promises of ML are vast – better health, more convenience, higher security and more personalisation – but at what cost? As more and more of our intimate data is collected, is there a price of convenience? If so, what is it, and is it worth paying? There is an increasingly fine line between personalised services and invasive services. Do people understand that they’re trading their personal data for these services? Are they aware of the risks? Do they care? Is it all positive? Is the trade always necessary? Is it inevitable? Our guests are: Maxine Mackintosh Maxine is a PhD student at the Alan Turing Institute working at the intersection of data science and dementia. Her PhD involves mining medical records for new predictors for dementia. She is passionate about understanding how we might make better use of routinely collected data to improve our cognitive health. Alongside this, she is the co-founder of One HealthTech – a community which champions and supports underrepresented groups, particularly women, to be the future leaders in health innovation. She is part of a number of communities and committees including the World Economic Forum’s Global Shapers, the British Computer Society (Health Exec) and the Google DeepMind Health’s Independent Review Panel. Josh Cowls Josh Cowls is the Research Associate in Data Ethics at the Alan Turing Institute, and a doctoral researcher at the Digital Ethics Lab, Oxford Internet Institute. Josh's research agenda centres on decision-making in the digital era, with a particular focus on the social and ethical impact of big data and AI and its intersection with public opinion and policymaking. Josh was also part of the team who established the Nuffield Foundation's Ada Lovelace Institute, an independent research and deliberative body with a mission to ensure data and AI work for people and society. Martin Goodson Martin Goodson is the Chief Scientist and CEO of Evolution AI. He is a specialist in natural language processing, the computational understanding of human language. Martin has designed Artificial Intelligence products that are in use at organisation like Dun & Bradstreet, Elsevier, the Office of National Statistics and several UK and European banks. We will start with some food and drinks, then a hosted discussion followed by a Q&A with the audience. Registration begins from 18:30 for a prompt 19:00 start – food and drinks will be provided from 18:30pm. Please make sure you download a ticket from Eventbrite as you will NOT be able to attend without it. You will be asked to show your Eventbrite ticket (either paper or via electronic device will be fine - we just need to scan the QR code) and a form of photo ID at the door. Your bags will also be checked by security. This event is for ages 18+ only. See you there!

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  • The ML Arms Race: China vs. USA vs. Europe

    WeWork 3 Waterhouse Square

    **IMPORTANT NOTICE PLEASE READ** Please register and download your tickets for this event here: https://www.eventbrite.co.uk/e/bbc-machine-learning-fireside-chats-presents-the-ml-arms-race-china-vs-usa-vs-europe-tickets-46072850135 RSVP on MeetUp is not enough , you will be asked to show your Eventbrite ticket at the door. This MeetUp will be held at a new location, WeWork Waterhouse Square (138 Holborn, London, EC1N 2SW). **THANK YOU** The premise behind the Machine Learning fireside chats is to bridge the gap between the technical and strategic implications of ML by inviting experts who will share their experiences. Vladimir Putin spoke to Russian students at the start of the 2017/2018 school year and told them that "the future belongs to artificial intelligence," and whoever masters it first will rule the world. "Artificial intelligence is the future, not only for Russia, but for all humankind. It comes with colossal opportunities, but also threats that are difficult to predict. Whoever becomes the leader in this sphere will become the ruler of the world," Russian President Vladimir Putin said. China unveiled a national artificial intelligence (AI) development plan in July 2017 with the stated goal of making the country “the front-runner and global innovation center in AI” by 2030. Released by the State Council, the plan formulates the key strategy for the development of China's AI industry. At the moment US firms and research are still leading the way in the ML space. However this is mostly based on private companies progress and the US government has less leverage to force the direction of research than China and Russia. So where does this leave Europe and Britain? With GDPR having come into affect in May and Britain potentially leaving the European Research Area over the coming years, where are we in this race? Or is there no race at all and ML instead will flourish because of international collaboration? Please join us over a bite to eat and a glass of a beverage and tune into a panel discussion of industry practitioners and experts, this time in the new location of WeWork Waterhouse Square. Our guests are: Jeffrey Ding As the China lead for the Governance of AI Program, Jeff researches China’s development of AI at the Future of Humanity Institute, University of Oxford. His work has been cited in the Washington Post, South China Morning Post, MIT Technology Review, Bloomberg News, Quartz, and other outlets. A fluent Mandarin speaker, he has worked at the U.S. Department of State and the Hong Kong Legislative Council. He is also reading for a D.Phil. in International Relations as a Rhodes Scholar at the University of Oxford. Charlotte Stix is a Research Associate and Policy Officer for AI Policy at the Leverhulme Centre for the Future of Intelligence, University of Cambridge. She was formerly at the European Commission's Robotics and Artificial Intelligence Unit, where she oversaw a total of €18 million in projects and contributed to the formulation of EU-wide AI strategy as its youngest ever team member. Previously, she was a Policy Officer at the World Future Council, and before that founded an award winning culture magazine while managing a team of 15 freelancers. We will start with some food and drinks, then a hosted discussion followed by a Q&A with the audience. Registration begins from 18:30 for a prompt 19:00 start – food and drinks will be provided from 18:30pm. Please make sure you download your ticket from Eventbrite as you will NOT be able to attend without this confirmation. You will also need to bring some form of photo ID to be able to enter the WeWork building and please expect your bag to be checked on arrival. This event is for ages 18+ only. See you there!

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  • Robots in the Newsroom: The Promises & Threats of Emerging Technologies for News

    **NOTICE** Please register and download your tickets for this event here: https://www.eventbrite.co.uk/e/bbc-machine-learning-fireside-chats-presents-robots-in-the-newsroom-tickets-43719344737 RSVP is not enough, you will be asked to show your Eventbrite ticket at the door. **NOTICE** Newsrooms across the world are under a lot of pressure. Competition for attention and quality is fierce. Legacy of the industry makes the shift to digital world hard. Adoption of the emerging technologies will ultimately change how the newsroom operates. The promise is to redefine the relationship with the audience, monetise better, make the journalist more efficient. But not without the controversy or technical and cultural challenges. In this session we will discuss what changes machine learning has already brought into the news, what are the opportunities and threats for the journalists, publishers and the audience. Please join us over a bite to eat and a glass of a beverage and tune into a panel discussion of industry practitioners and experts. Our guests are… Antoine Amann, Founder and CEO at Echobox Adriaan Pelzer, Head of Engineering for Emerging Products from Trinity Mirror Adam Davison, Head of Data Science and Insights from The Economist Chris Moran, Editor Strategic Projects, The Guardian We will start with some food and drinks, then a hosted discussion followed by a Q&A with the audience. Registration begins from 18:30 for a prompt 19:00 start – food and drinks will be provided from 18:30pm. Please make sure you download your ticket from Eventbrite as you will NOT be able to attend without this confirmation. You will also need to bring some form of ID to be able to enter the BBC offices and please expect your bag to be checked on arrival. See you there!

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  • Machine Learning Predictions 2018

    BBC

    The premise behind the Machine Learning fireside chats is to bridge the gap between the technical and strategic implications of ML by inviting experts who will share their experiences. As increasingly more products and services are built using Machine Learning technologies, the buzz around ML will likely continue into 2018. For our first talk of the new year, we will gaze into our technological crystal ball and predict what the ML trends will be in 2018 and speculate on what industries will be most disrupted Among our speakers we have: Pontus Stenetorp Pontus Stenetorp is a researcher and educator that finds Natural Language Processing (NLP) and Machine Learning research to be fascinating. The widely-adopted text annotation and visualisation tool brat is one of his creations and since 2012 a majority of his work has been on representation learning (Deep Learning) for natural language. His current research focuses on end-to-end models that learns with a minimal amount of human supervision – with a particular focus on allowing computers to pass real-world exams – and is supported by the Paul G Allen Family Foundation. He is a Senior Research Associate at University College London (UCL) and a member of the Machine Reading Group lead by Reader Sebastian Riedel at the Department of Computer Science. He received a PhD from the University of Tokyo in 2013 and a MSc Eng from the Royal Institute of Technology (KTH) in 2010. Rowland Manthorpe Rowland Manthorpe is a senior editor at WIRED, where he covers tech and politics. An award-winning journalist, his philosophical novel, Confidence, was published by Bloomsbury in 2016. Miriam Redi Miriam Redi is a Research Scientist in the Research and Data team at the Wikimedia Foundation. Her research focuses on content-based social multimedia understanding and culture analytics. In particular, she explores ways to automatically assess visual aesthetics, sentiment and creativity, and responsibly exploit the power of computer vision in the context of web, social media, and online communities. Miriam got her Ph.D. at the Multimedia group in EURECOM, Sophia Antipolis. After obtaining her PhD, she was a Research Scientist at Yahoo Labs and at Bell Labs in Cambridge, UK. We will start with some food and drinks, then a hosted discussion followed by a Q&A with the audience. Registration begins from 18:30 for a prompt 19:00 start – food and drinks will be provided from 18:30pm. Please make sure you RSVP as you will NOT be able to attend without confirmation. Please use your real (and full) names to sign up! This is crucial, so please help our security guards have an easier life. You will also need to bring some form of ID to be able to enter the BBC offices and please expect your bag to be checked on arrival. Due to the size of the space, we can only accommodate 80 people, so if you have RSVP’d yes but cannot make it, please open up your space to someone else. See you there!

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