Philips and PathAI team up to improve breast cancer diagnosis using artificial intelligence technology in ‘big data’ pathology research.
Timnit Gebru, Stanford Alum and Co-Founder of Black in AI, shares remarkable insights to show how artificial intelligence is influencing thinking and decision-making in ways we didn't imagine and must counter before it further marginalizes people. Timnit works at Microsoft, New York in the Fairness Accountability Transparency and Ethics (FATE) Group where her team works on the complex social implications of AI, machine learning, data science, large-scale experimentation, and increasing automation. She previously worked at Stanford’s Artificial Intelligence Lab where she received her PhD, and is Co-Founder of Black in AI, an organization that aims to foster collaborations and discuss initiatives to increase the presence of Black people in the field of Artificial Intelligence. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx
“What all of us have to do is to make sure we are using AI in a way that is for the benefit of humanity, not to the detriment of humanity.” Gaurav Sangtani, talked about how technology and artificial intelligence is changing the world. Around all fears how it can impact job markets and society at large and how can we adapt to it and move ahead with this change. Social Worker This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx
Computers are increasingly intelligent. But what happens when they're smarter than humans?
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Una antropologia del rapporto uomo-macchina, con molti temi aperti e controversi. Estratti della conferenza spettacolo tenuta a Padova, all'interno del Palazzo della Ragione, l'11 aprile 2019, nell'ambito dell'evento "L'uomo nella rivoluzione digitale".
Abbiamo trasferito molte competenze alle macchine, siamo usciti dal Paleodigitale. Questa inevitabile consegna sta avvenendo con molti vantaggi, molti punti di domanda e qualche tragedia. Quando sbagliano, gli algoritmi non hanno colpe, la responsabilità dei loro esiti è sempre degli umani che li hanno pensati. Auspicabilmente, le macchine saranno non soltanto user friendly ma più human friendly. Una "augmented lecture" per ragionare in termini moderatamente ottimistici sui nuovi ecosistemi elettronici.
Organizzazione: Assindustria Venetocentro - comprenderexcambiare 2019
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.
Artificial Intelligence may be the single most disruptive technology the world has seen since the Industrial Revolution. But is AI real? How are companies adopting and applying AI in their organizations today? What can you do to reimagine work for the age of AI? What will the role of people be? There’s a lot of talk and concern around people losing their jobs, but on the positive side - how can machines and humans work side-by-side? How will AI be paired with humans and how can business leaders help in this transition. Responsible AI – how can we balance the opportunity with the challenges when it comes to AI? What steps can governments and businesses take?
Can an AI learn to play the perfect game of Snake?
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This video is the product of Dessa Engineers, Hashiam Kadhim, Joseph Palermo, and Rayhane Mama.
Electric vehicles, rockets... and now brain-computer interfaces. Elon Musk's newest venture, Neuralink, aims to bridge the gap between humans and artificial intelligence by implanting tiny chips that can link up to the brain. At a press conference on July 16, Neuralink's ambitious plans were detailed for the first time, showcasing a future (a very distant future!) technology that could help people deal with brain or spinal cord injuries or controlling 3D digital avatars.
My Website: http://haashir.in
Intelligent real time applications are a game changer in any industry. This session explains how companies from different industries build intelligent real time applications. The first part of this session explains how to build analytic models with R, Python or Scala leveraging open source machine learning / deep learning frameworks like TensorFlow, DeepLearning4J or H2O.ai. The second part discusses the deployment of these built analytic models to your own applications or microservices by leveraging the Apache Kafka cluster and Kafka’s Streams API instead of setting up a new, complex stream processing cluster. The session focuses on live demos and teaches lessons learned for executing analytic models in a highly scalable, mission-critical and performant way.
Mobile compute platforms provide an exciting vehicle for the deployment of new computer vision and deep learning applications. This webinar elaborates on real industry use-cases where the adoption of optimized low-level primitives for ARM processors has enabled improved performance and optimal use of heterogeneous system resources.
Best Machine Learning book: https://amzn.to/2MilWH0 (Fundamentals Of Machine Learning for Predictive Data Analytics).
Jeffrey is the CTO and part of the team of founders of Stratified Medical. He is a serial technologist, start-up founder, fund-raiser and deep R&D strategist in Big Data, Natural Language Processing, state-of-the-art Deep Learning and deployment of AI platforms at internet scale for Tier1 Silicon Valley companies. He has a doctorate in Machine Learning and Computer Vision and another 7 years of Post-Doctoral research experience in brain-inspired pattern recognition at Imperial College. He has successfully spun-out a start-up out of Imperial with multi-million VC investment and revenue from a big UK retailer within 10 months. He is now working in big data and advanced machine learning to leverage the totality of human knowledge, teaching machines to understand and reason, with the goal of making a real difference in the world. Author of over 45 articles in scientific journals and conferences, 3 granted patents in US and EU and 4 pending patents.
Susie Adams, chief technology officer for the Microsoft's federal government business, chats with FedScoopTV about the most disruptive mobile trends in government.
Advances in AI, powered by new machine learning, accelerated by faster computing and fueled by data enrich many aspects of our day to day lives. These advances raise questions about the trustworthiness, fairness and the influences of AI on people and society. A panel of leading AI experts from Amazon, Google, IBM and Facebook will explore the many technical and social implications of AI on our daily lives.
"Artificial intelligence (AI) is intelligence exhibited by machines. In computer science, an ideal "intelligent" machine is a flexible rational agent that perceives its environment and takes actions that maximize its chance of success at some goal. Colloquially, the term "artificial intelligence" is applied when a machine mimics "cognitive" functions that humans associate with other human minds, such as "learning" and "problem solving". -- Wikipedia
I was recently invited to moderate a discussion at the excellent Fuel 2017 technology and innovation conference, hosted by Belgian media company Medialaan. It was a fantastically run event, with some great speakers, so I wanted to share the video and some of the key takeaway points from the expert panel:
- Cliff Fluet, Partner and in-house counsel in the music and broadcast industry at UK law firm Lewis Silkin.
- Nadira Azermai, founder and CEO of Belgium-based company ScriptBook, providing Artificial Intelligence screenplay analysis and box office forecasts.
- Filip Maertens, Belgium-based founder of Securax, a cyber-security consulting company, and Sentiance, a context-aware profiling company.
Filmed at https://2018.dotai.io on May 31st in Paris. More talks on https://www.dotconferences.com/talks
IBM Watson is a cognitive computing system. This introductory-level talk will explore what cognitive computing means, where cognitive computing came from, what makes a system cognitive, why it is important, who uses it, and how to try it out. Listen to this session to learn how people are using Artificial Intelligence applications across industries, such as transportation, entertainment and healthcare.
I think it's very scary and when I put the slides in that talk I called it, like every other person who does a talk about AI, 'the obligatory AI talk terminator slide'. Skynet, you know, you have a terminator in there because you can't not... It's the elephant in the room. And it's particularly relevant because I actually do believe that progress in AI has been held back by a lack of accessibility to people to get into it and then compete aggressively to find out quickly and fail faster and get better techniques more quickly.