Let’s separate the hype from reality and see what exactly machine learning (ML), deep learning (DL) and artificial intelligence (AI) algorithms can do right now in cybersecurity. We will look how different tasks, such as prediction, classification, clustering and recommendation, are applicable to the ones for attackers, such as captcha bypass and phishing, and for defenders, such as anomaly detection and attack protection. Speaking about the icing on the cake, we will cover the latest techniques of hacking security and non-security products that use ML and why its super hard to protect them against adversarial examples and other attacks.

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Alexander is a co-founder of ERPScan, the president of EAS-SEC.org, an organization focused on enterprise application security, and a member of Forbes Technology Council. He has been recognized as R&D Professional of the Year by 2013. His expertise covers the security of enterprise business-critical software and includes ERP, industry-specific solutions and adopting Machine Learning and Deep learning inventions to cybersecurity problems. He has presented his research at over 100 conferences such as BlackHat, HITB, RSA held in more than 20 countries in all continents. He has held customized trainings for CISOs of Fortune 2000 companies.

This presentation was recorded at GOTO Copenhagen 2018. #gotocon #gotocph
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Danny Lange - VP of AI and ML at Unity Technologies and previously led innovative ML teams at Uber, AWS and Microsoft

ABSTRACT
Join this session to discuss the role of intelligence in biological evolution and learning. Danny Lange will demonstrate why a game engine is the perfect virtual biodome for AI’s evolution. Attendees will recognize how the scale and speed of simulations is changing the game of AI while learning about new developments in reinforcement [...]

Download slides and read the full abstract here:
https://gotocph.com/2018/sessions/571

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#AI

Al Burgio & Matthew Roszak, sit down for a fireside chat with John Furrier for Global Cloud & Blockchain Summit 2018 from The Westin Harbour Castle in Toronto, Ontario.

Dr. Molly Wright Steenson is a designer, author, professor, and international speaker whose work focuses on the intersection of design, architecture, and artificial intelligence. She is the author of Architectural Intelligence: How Designers and Architects Created the Digital Landscape (MIT Press, 2017), which tells the radical history of AI’s impact on design and architecture and how it poured the foundation for contemporary digital design. She cut her teeth on the web in 1994 and has since worked with groundbreaking studios, consultancies, and corporations. Dr. Steenson is an associate professor at Carnegie Mellon University’s School of Design, with a courtesy appointment in the School of Architecture. Previously, she was an assistant professor in the School of Journalism and Mass Communication at the University of Wisconsin-Madison, adjunct faculty at Art Center in Pasadena, CA, and an associate professor at the Interaction Design Institute Ivrea in Italy. She holds a PhD in architecture from Princeton University and a master’s in architectural history from Yale. St. Paul is her hometown.

The yearly Applied Artificial Intelligence Conference is organized by BootstrapLabs, a leading Venture Capital firm focused on Applied AI, that brings together over 800 members of the Artificial Intelligence community for a day of incredible speakers and exciting conversations.

Moderator: Andrew Salzman, Partner, Chasm Group

Speakers:

Igor Jablokov, Founder and CEO, Pryon Inc
Matt Swanson, CEO, Augment
Nisha Talagala, Chief Technology Officer, ParallelM
Sabrina Atienza, Founder, Qurious.io
During this session, the panelists discussed the future of work and how Artificial Intelligence will change workflows, job functions and even our priorities at work.

Some of the key takeaways from the session are:
- There’s tremendous opportunity for AI to be leveraged in different organizations and even those implemented to improve a process by 1% in a Fortune 500 Company can have huge impact.
- AI will create new types of jobs and add value to augment existing systems rather than fully replace/automate them.
- The future of our work will primarily consist of interacting with other humans, strategizing, designing and other creative topics, while the monotonous parts will increasingly see automation.

Interview mit Damian Borth (Director Deep Learning,
Deutsches Forschungszentrum für Künstliche Intelligenz, DFKI)

Am 15. und 16. März 2018 fand in München die Handelsblatt Tagung „Künstliche Intelligenz" statt.
KI ist in aller Munde und eines der großen Hype-Themen dieses Jahres. Wie sieht es jedoch mit klaren Informationen zur Umsetzung aus? Welche Erfolgsbeispiele gibt es bereits? Wo finden Sie Handlungsanweisungen zur Implementierung? Von welchen konkreten Produkten und Dienstleistungen können Sie sich inspirieren lassen? Wie können Sie zukunftsträchtige Geschäftsmodelle entwickeln?

Unter dem Motto „Aktion – Interaktion – Geschäftsanbahnung“ griff unsere Tagung diese Aspekte auf und nahm die Umsetzung in den Fokus.

Talk 1 - John Walicki, IBM: The power of a personalized conversational interface to IoT devices with Watson Conversation

Talk 2 - Angel Wong, Dexter: Conversational interfaces are capturing huge mindshare yet there are nuances to creating a delightful experience. Trying to use the exact same style across different device styles like IoT, Smart Speakers, and Chatbots won't lead to an optimal experience.

Join us to learn how best to approach these different interaction modes and create your best user experience.

On September 20th, 2018, one of the leading researchers and an icon for regulation of Artificial Intelligence (AI), professor Toby Walsh (UNSW Sydney), has in one-hour long public debate shared the insights on how AI has been improving our lives, and why the society needs to be economically, culturally, politically, and legally prepared for the AI of tomorrow.
The LogicLounge debate was moderated by Franz Zeller (ORF).

German version
An der TU Wien hat am 20. September einer der weltweit führenden Forscher auf diesem Gebiet über technologische, kulturelle und politische Aspekte der künstlichen Intelligenz diskutiert: Toby Walsh, KI-Forscher und Autor, der wegen seiner zahlreichen Medienauftritte auch als "Rockstar der KI" bezeichnet wird, war bei der "LogicLounge" zu Gast.

When consumers experience AI/ML benefit from various sources in our daily life, enterprises are facing challenges when applying similar AI/ML techniques to transform business. In this session, we will share how Workday (Enterprise SaaS company on HCM and FIN) has identified specific business problem for ML to solve, collected enough data to prototype, and deployed the solution as part of Workday Application product available to all Workday customers in less than 18months. We will also share lessons learned from legal, privacy, and security aspect with Human-in-the-loop approach which is a critical part of the enterprise ML product development journey.

In 1997, Garry Kasparov became the first knowledge worker to be surpassed by an intelligent machine—at least that is one way to look at the world chess champion’s famous match loss to the IBM supercomputer Deep Blue. Instead of becoming the cognitive John Henry, Kasparov has spent the past 20 years pursuing his fascination with how humans and increasingly powerful AIs can work together. In this talk, he will also discuss the role business must play in moving AI from the laboratory into the mainstream and how the new generation of machine learning can create knowledge that contributes to real insight and understanding, not merely efficiency. Most of all, Kasparov wants us to be optimistic and ambitious about the reality and potential of intelligent machines, what he calls a self-fulfilling prophecy.

Filmed at https://2018.dotai.io on May 31st in Paris. More talks on https://www.dotconferences.com/talks

"Methods that scale with computation are the future of AI", Richard Sutton, father of reinforcement learning. Large labelled training datasets were only one of the key pillars of the deep learning revolution, the widespread availability of GPU compute was the other. The next phase of deep learning is the widespread availability of distributed GPU compute. As data volumes increase, GPU clusters will be needed for the new distributed methods that already produce produce the state-of-the-art results for ImageNet and Cifar-10, such as neural architecture search. Auto-ml is also predicated on the availability of GPU clusters. Deep Learning systems at hyper-scale AI companies attack the toughest problems with distributed deep learning. Distributed Deep Learning enables both AI researchers and practioners to be more productive and the training of models that would be intractable on a single GPU server.

Jim introduces the latest developments in distributed Deep Learning and how distribution can both massively reduce training time and enable parallel experimentation for both AutoML and hyperparameter optimization. We will introduce different distributed deep learning paradigms, including model-level parallelism and data-level parallelism, and show how data parallelism can be used for distributed training. We will also introduce the open-source Hops platfrom that supports GPUs as a resource, a more scalable HDFS filesystems and a secure multi-tenant environment. We will show how to program a machine learning pipeline, end-to-end with only Python code on Hops.

Professor Joshua Gans, Author “Prediction Machines”, Professor of Strategic Management at University of Toronto

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#cogx18 (edited)

Watch my keynote presentation from the Arvato Xperience Day in Berlin in September 2017. It was a great event with participants from leading international fashion brands.

This talk covers:
-consumer expectations in 2018 (frictionless shopping)
-how Amazon is eating all of retail with its Amazon Prime (Now) programme
-how direct to consumer brands like Warby Parker and Away Travel offer much better value for money by cutting out the middlemen
-how offline retail has to change if it doesn't want to die
-how brands have to embrace big data (example: Stitchfix)
-how brands can use Amazon Echo, Augmented Reality and chatbots to improve the customer experience
-the importance of mobile payment methods such as Apple Pay and WeChat Pay

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Gary Marcus (NYU) discusses neuroscience, deep learning, and the urgent need for an enriched set of computational primitives

March 24, 2018, Cognitive Neuroscience Society annual conference, Boston

http://www.cogneurosociety.org/

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Abstract: Healthcare is rapidly becoming a data-intensive discipline, driven by increasing digitization of health data, novel measurement technologies, and new policy-based incentives. Critical decisions about ​whom​ and h​ ow​ to treat can be made more precisely by layering an individual’s data over that from a population. In this talk, I will begin by introducing the types of health data currently being collected and the challenges associated with learning models from these data. Next, I will describe new techniques that leverage probabilistic methods and counterfactual reasoning for tackling the aforementioned challenges. Finally, I will introduce areas where ​statistical machine-learning techniques are leading to new classes of computational diagnostic and treatment planning tools—tools that tease out subtle information from “messy” observational datasets, and provide reliable inferences given detailed context about the individual patient.

Named as one of 10 Women to Watch in Tech in 2013 by Inc. Magazine, Vivienne Ming is a theoretical neuroscientist, technologist and entrepreneur. She co-founded Socos, where machine learning and cognitive neuroscience are combined to maximize students’ life outcomes.
Vivienne has developed a predictive model of diabetes to better manage the glucose levels of her diabetic son and systems to predict manic episodes in bipolar sufferers.

Learn more about SingularityU Greece Summit 2018 at www.singularityugreecesummit.org

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Blog: https://su.org/blog/
Hub: http://singularityhub.com
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Linkedin: https://www.linkedin.com/company/singularity-university

About Singularity University:
Singularity University is a benefit corporation headquartered at NASA’s research campus in Silicon Valley. We provide educational programs, innovative partnerships and a startup accelerator to help individuals, businesses, institutions, investors, NGOs and governments understand cutting-edge technologies, and how to utilize these technologies to positively impact billions of people.

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Vivienne Ming, Founder & Executive Scientist, Socos

Exponential technologies have the capability to enhance and accelerate our abilities, helping us to reach our full potential as human beings. Come learn how the combination of neuroscience and artificial intelligence can complement our growing understanding of the human brain to dramatically increase our ability to learn and to achieve.

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Connect with Singularity University:
Website: http://su.org
Hub: http://singularityhub.com
Facebook: https://www.facebook.com/singularityu
Twitter: https://twitter.com/singularityu
Linkedin: https://www.linkedin.com/company/singularity-university

About Singularity University:
Singularity University is a benefit corporation headquartered at NASA’s research campus in Silicon Valley. We provide educational programs, innovative partnerships and a startup accelerator to help individuals, businesses, institutions, investors, NGOs and governments understand cutting-edge technologies, and how to utilize these technologies to positively impact billions of people.

Singularity University
http://www.youtube.com/user/SingularityU

Dr Jess Whittlestone talks about how artificial intelligence can be used to most improve human decision-making. Her talk was held at the Cambridge Decision Summit 2018.

https://decisionsummit.ai/

Figure Eight's CTO, Robert Munro, will talk about 20 years of experience combining Human and Machine Intelligence. From simple early interactions in games and search engines to complex modern tasks like autonomous vehicles, medical imaging, agriculture, translation, art, and music, he will cover how AI is increasingly incorporated into our everyday lives.

Jonathan Miranda, Director of Strategy-Technology, Salesforce, explains AI and walks us through the changes we can anticipate in our everyday world. Find out what a typical day in your life could be like five years from now. Will jobs disappear or simply change in interesting and efficient ways? He explains new medical innovations and their impact on hearing aids, facial recognition through new eyeglasses and life-saving surgery. Jonathan explores the positive side of technology and how we can best navigate the trail ahead.

We live in one of the most exciting and disruptive technological ages – the age of AI. Major breakthroughs will have profound implications on our lives and on our society in general. While we continuously push the frontier of technological innovations, with the goal of empowering organizations, developers and our society, new questions arise around how we deploy AI responsibly. In this AI Summit San Francisco keynote, Microsoft AI CTO Joseph Sirosh shares how together we can achieve more when we put people at the center of AI design.

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For more about Microsoft, our technology, and our mission, visit https://aka.ms/microsoftstories

APPLIED ARTIFICIAL INTELLIGENCE CONFERENCE 2018 #AAI18
HOW APPLIED ARTIFICIAL INTELLIGENCE IS CHANGING SOCIETY, ENTERPRISE, AND PEOPLE
BootstrapLabs is pleased to announce that its annual Applied Artificial Intelligence Conference will return for the third year on April 12, 2018 in San Francisco.

#AAI18 is a must-attend event for those involved or interested in the most current progress of AI technologies and products.

The one day conference brings together the brightest and most experienced professionals in the field of AI for an immersive day of learning, discussion, and connection. This year’s agenda will focus on the latest and future impact of AI applications and commercialization across a breadth of sectors, including Transportation, Healthcare, Finance, Future of Work and Cybersecurity.

Inviting world class perspectives from research, entrepreneurship, investing, and business transformation, the event aims to capture the deepest insights available in the AI landscape today. You’ll have access to practical wisdom and methodologies on how to take advantage of AI’s powerful potential. Plus, speakers and panelists will engage in a thought-provoking discourse about how AI is reshaping business, society, and life as we know it.

BootstrapLabs is a leading venture capital firm focused on Applied Artificial Intelligence in Silicon Valley. Leveraging an extensive community of professionals with deep domain expertise, BootstrapLabs stays at the forefront of the latest technology development, venture investment trends, and startup ecosystem evolution.

Contact us at info@bootstraplabs.com for more information.

9:00 am – 9:10 am | Welcome Message
Ben Levy, Co-founder, BootstrapLabs

9:10 am – 9:35 am | Opening Keynote: Human + Machine: Reimagining Work in the Age of AI
Paul Daugherty, Chief Technology & Innovation Officer, Accenture

9:35 am – 10:05 am | Panel: Enterprise AI Applications and the Future of Work
Moderator: Andrew Salzman, Partner, Chasm Group

Panelists:

Igor Jablokov, Founder and CEO, Pryon Inc
Matt Swanson, CEO, Augment
Nisha Talagala, Chief Technology Officer at ParallelM
Sabrina Atienza, Founder, Qurious.io
10:05 am – 10:25 am | Keynote: AutoML: The Future of Machine Learning
Alex Holub, Founder, Vidora

10:25 am – 10:50 am | Keynote + Fireside Chat: Death of Moore’s Law
Speakers:

Tom Campbell, Founder & President, FutureGrasp, LLC
Madhav Thattai, Chief Operating Officer, Rigetti Computing
Sateesh Kumar, Founder, Pathtronic
10:50 am – 11:15 am | Coffee Break
11:15 am – 11:45 am | Panel: Industrial & Manufacturing AI Applications
Moderator: Macario Namie, Head of IoT Strategy at Cisco

Panelists:

Karen Kerr, Executive Managing Director, GE Ventures
George Mathew, CEO, Kespry
Matt Man, Founder, Indus.ai
Ramya Ravichandar, Director Product Management at FogHorn Systems, Inc
11:45 am – 12:10 pm | Keynote + Fireside Chat: How AI shapes the future of our energy system
Speakers:

Thomas Birr, SVP Innovation & Business Transformation, innogy
Stephen Comello, Director, Sustainable Energy Initiative, Stanford
Nicolai Wadstrom, Founder and CEO, BootstrapLabs
12:10 pm – 12:35 pm | Panel: Applied AI and Cybersecurity – Making the enterprise more secure
Moderator: Debra J. Farber, Data Privacy & Security Advisor

Panelists:

Will Summerlin, Founder, Pinn Technologies
Chris Merz, VP Security & Decision Products, Mastercard
Sean Kanuck, Director of Cyber, Space and Future Conflict, IIS

The yearly Applied Artificial Intelligence Conference is organized by BootstrapLabs, a leading Venture Capital firm focused on Applied AI, that brings together over 800 members of the Artificial Intelligence community for a day of incredible speakers and exciting conversations.

Speaker: Paul Daugherty, Chief Technology & Innovation Officer, Accenture

During this session, Paul Daugherty discussed the future of work, AI as the alpha trend in technology, the distribution of labor between humans and machines and how to prepare people and businesses for AI's impact.

Some of the key takeaways from the session are:
- AI is the Alpha Trend in technology because it's fundamentally shaping and changing the way a lot of other trends work and it's poised to be the biggest thing that impacts our lifetime.
- Executives need to fundamentally approach their business differently to really get value of AI, that means creating processes that are dynamic, personalized, flexible and adaptive.
- The future is will depend on giving people the right tools so machines and people together achieve a higher level of intelligence, collaborative intelligence.