A very simple world exists, where AI organisms are instructed to eat certain others. But by computing series of genetic code into the AI organisms, the organisms become… smarter, in how they choose and eat their prey. Delve into this fascinating process as Jahaan shows you how this type of code can be applied in the world and beyond.

Jahaan Mukhi, a recent high school graduate, has been creating code for many years now. His love of creating intelligent, simple solutions to complex problems has put him on the path to creating higher forms 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 http://ted.com/tedx

“ปัญญาประดิษฐ์” ความฝันวัยเด็กหรือฝันร้ายของโลกอนาคต โดย ดร.สเตฟาน เวสส์
CU2016 EXIT
EXIT : สู่ความจริงรูปแบบใหม่
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ดร. สเตฟาน เวสส์
ผู้บริหารบริษัท Empolis Information Management GmbH
นักวิจัย นักพูด และผู้ประกอบการที่มีปริญญาเอกทางด้านปัญญาประดิษฐ์ ดร. สเตฟาน ได้รับการยกย่องอย่างสูงในด้านเทคโนโลยี และยังเป็นผู้นำด้านเทคโนโลยีและวิทยาศาสตร์แนวหน้าในระดับนานาชาติอีกด้วย ดร. สเตฟาน เป็นสมาชิกกรรมการบริหารกลุ่ม Attensity ในปาโลอัลโต้ และดำรงตำแหน่ง CEO ของบริษัท Empolis Information Management GmbH ซึ่งเป็นบริษัทด้าน IT ที่มีฐานอยู่ในประเทศเยอรมนี ดร. สเตฟาน หลงใหลวิธีที่เทคโนโลยีเปลี่ยนแปลงชีวิต สังคม และเปลี่ยนแปลงมนุษยชาติ ดร. สเตฟาน ได้เขียนและตีพิมพ์หนังสือและบทความเกี่ยวกับปัญญาประดิษฐ์ไว้เป็นจำนวนมาก และยังเป็นหนึ่งในนักพูดด้านปัญญาประดิษฐ์ระดับนานาชาติที่ได้รับการกล่าวถึง

Dr. Stefan Wess
CEO of Empolis Information Management GmbH
A researcher, speaker and entrepreneur with a PhD in Artificial Intelligence. He is a highly recognized technology industry veteran with multinational front-line technology and scientific leadership experience. He was a member of the Attensity Group management board, based in Palo Alto, out of which Empolis Information Management GmbH was spun off as an independent company in 2012. As CEO of Empolis Information Management GmbH, a Germany-based IT company, he is fascinated and excited about how technology transforms our lives, society and ultimately mankind. Stefan has written and published numerous books and articles on Artificial Intelligence. He is one of the internationally sought-after speakers in this area.

About Creativities Unfold: http://www.cu-tcdc.com
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Prof Pantic from Imperial College London at The Future of AI and ML in Healthcare Conference

We display more than 7000 different facial expressions every day and we perceive all of them very intuitively. We associate to them attitudes, emotions, intentions, and moods. They are the window into our inner selves. Maja Pantic uses artificial intelligence and machine learning techniques to analyse human non-verbal behaviour, including facial expressions, body gestures, laughter, social signals, and affective states. In this video, she shows how these techniques can be used for the good of people – helping autistic children interpret other people’s facial expressions – or for the bad. Maja imagines AI enhancing human abilities further, allowing for sight, hearing and even communicating to be aided by computers. However, she urges all of us to protect out own behavioral data from corporate misuse. Professor Maja Pantic went from studying mathematics in her native Belgrade, Serbia, to specialising in computer sciences in Delft, the Netherlands. From Delft, Pantic moved to London where she is now Professor of Affective and Behavioural Computing and the Head of the iBUG group, working on machine analysis of human non-verbal behaviour. In May 2018, she became the Research Director of Samsung AI Research Centre in Cambridge. 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

Rachel Thomas is a deep learning researcher, she is the cofounder of fast.ai which created the “Practical Deep Learning for Coders” course that over 100,000 students have taken. In her talk she explain why Artificial Intelligence should be accessible to all of us, even without a math background.
Rachel was selected by Forbes as one of 20 Incredible Women in AI, earned her math PhD at Duke, and was an early engineer at Uber. Her writing about AI and has been read by over half a million people and has been translated into Chinese, Spanish, Korean, & Portuguese. Co-Founder fast.ai and Researcher at USF. Mathematician, Deep Learning researcher, bringing and teaching Deep Learning to the mainstream. 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

Kristian is a professor of computer science and journalism at Northwestern University. Previously, Kris founded the University of Chicago’s Artificial Intelligence Laboratory. His research has been primarily focused on artificial intelligence, machine-generated content, and context-driven information systems.

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

In this talk, the speaker takes you on a journey of how AI systems have evolved over time. DIRECTOR OF MACHINE LEARNING AT GEORGIA INSTITUTE OF TECHNOLOGY
Dr. Irfan Essa is a professor in the school of Interactive Computing and the inaugural Director of Machine Learning at Georgia Tech. One of the fastest growing research areas in computing, machine learning spans many disciplines that use data to discover scientific principles, infer patterns and extract meaningful knowledge. Essa directs an interdisciplinary team studying ways machine learning connects information and actions to bring the most benefit to the most people. 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

We all think about Artificial Intelligence and its development as a project capable of changing the world. Shrish explores whether this change is one for the good or the bad.
Takes a keen interest in Artificial Intelligence and its relevance in the future. 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

Dominik Fischer grew up in a small village in the Bavarian Forest and developed his passion for computer science at the age of 15. After becoming a software developer and working several years in an internet agency, he decided to enroll at the university to get a deeper understanding of computer science. Besides his studies he got interested in the philosophical questions about life and phenomenology. This interest motivated him to conduct his master thesis towards the topic of machine consciousness. About a year ago he started his research assistant position at the TU Munich and his dissertation about cognitive phenomenons in collectives and their relationships to phenomenology.
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 Dominik Fischer grew up in a small village in the Bavarian Forest and developed his passion for computer science at the age of 15. After becoming a software developer and working several years in an internet agency, he decided to enroll at the university to get a deeper understanding of computer science. Besides his studies he got interested in the philosophical questions about life and phenomenology. This interest motivated him to conduct his master thesis towards the topic of machine consciousness. About a year ago he started his research assistant position at the TU Munich and his dissertation about cognitive phenomenons in collectives and their relationships to phenomenology.

Topic: Mind of the machine – 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

Xavier Vasques is a mathematician and neuroscientist He speaks about how artificial intelligence can improve humanity, specifically by providing elevated expertise, time compression and most importantly, deeper human engagement and relationship. “Artificial Intelligence Will Improve Humanity”

Xavier Vasques is a mathematician and neuroscientist. In 2005, Xavier received his Master’s Degree in Applied Mathematics from the University of Pierre et Marie Curie co-habilited École Normale Supérieure and École Polytechnique (France). In 2008, Xavier received his Master’s Degree in Engineering (Computer Science) from the Conservatoire National des Arts et Metiers and his Ph.D. in Neurosciences from the Montpellier Faculty of Medicine.

Now, Xavier is the CTO of IBM Systems Hardware in France and the head of Clinical Neurosciences Research Laboratory (LRENC) in France. Xavier is passionate about artificial intelligence and mathematics applied to neurosciences.

Xavier will speak about how artificial intelligence can improve humanity, specifically by providing elevated expertise, time compression and most importantly, deeper human engagement and relationship. 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

Artificial intelligence is gradually changing medical practice. With the recent progress in data collection, advanced machine learning methods, and high-performance computing infrastructure, AI can assist in disease diagnosis, treatment selection, and prediction of patients’ clinical outcomes.

Like Harvard Medical School on Facebook: https://goo.gl/4dwXyZ
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Website: https://hms.harvard.edu/

Artificial Intelligence and automation are already starting to replace many jobs across many fields. Are doctors next? It’s already starting.

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Last video on Brain POWER: https://www.youtube.com/watch?v=RDi4YpGVq5Y&t=2s

Sources and read more:
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1070929/
https://edition.cnn.com/2016/05/03/health/medical-error-a-leading-cause-of-death/index.html
http://www.bmj.com/content/353/bmj.i2139
http://www.cnn.com/2016/05/03/health/medical-error-a-leading-cause-of-death/index.html
https://hbr.org/2016/10/robots-will-replace-doctors-lawyers-and-other-professionals
http://www.mobihealthnews.com/content/study-smartphone-photos-found-83-percent-accurate-pediatric-dermatology-diagnoses
https://futurism.com/confirmed-ai-can-predict-heart-attacks-and-strokes-more-accurately-than-doctors/
https://www.amazon.com/Future-Professions-Technology-Transform-Experts/dp/0198713398
https://futurism.com/4-hours-googles-ai-mastered-chess-knowledge-history/
http://www.mobihealthnews.com/content/study-smartphone-photos-found-83-percent-accurate-pediatric-dermatology-diagnoses
https://www.firstderm.com/can-ai-diagnose-melanoma-better-than-a-doctor/
https://futurism.com/microsoft-ai-machine-learning-discover-cure-cancer/
https://www.youtube.com/watch?v=L96CUJapsbo
http://bigthink.com/stephen-johnson/ibms-watson-supercomputer-found-treatments-for-323-cancer-patients-that-human-experts-overlooked
http://www.mobihealthnews.com/content/ibm-watson-manager-academics-describe-challenges-potential-healthcare-ai
https://unclineberger.org/news/cancer-genomics-with-cognitive-computing

Medical diagnosis often is based on information visible from medical images. But what if machine learning and artificial intelligence could help our doctors gain more knowledge from medical images and therefore predict diseases earlier? New research indicates this is indeed possible, and the implications for preventive medicine and several disease types are large. Learn about it in this talk.

Shinjini graduated from high school at age 16, earned a PhD at 25, and was named one of Pittsburgh’s 40 under 40 in 2016. In her PhD work at Stanford, Shinjini employed machine learning that trained computers to detect patterns in medical images. That technology enables doctors to detect osteoarthritis three years before symptoms are evident. Shinjini is currently an MD-PhD scientist in the Medical Scientist Training Program (MSTP), a collaboration between the University of Pittsburgh and Carnegie Mellon University. Her research focuses on medical diagnosis in the pre-disease stage when a patient is still asymptomatic. She is also an advocate for women and minorities in STEM professions.

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

Neil Nie demonstrates how artificial intelligence–and particularly, object recognition–works… and how it will effect the future.

Neil Nie is a computer science student at Deerfield Academy. He started programming when he was 13 and has developed many applications for iPhones and Macs. Neil currently has several apps on the App Store and is researching neural networks and machine learning.

This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx

Artificial intelligence is used for more than just filling your Facebook news feed. Come learn how it can be used to solve some of the most pressing environmental problems the world is facing.

Prateek Joshi is the founder of Pluto AI, a company dedicated to using Artificial Intelligence to save the planet!

This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx

[Title and Description]
제목: 예술에 인공지능을 접목하는 방식 | YQP와 로먼 립스키
내용: 인공 지능은 날마다 새로운 기록을 깨면서 갈수록 더 인간의 능력을 능가하고 있지만 인공 지능을 예술에 접목했을 때 그걸 진정한 지능으로 볼 수 있을까요?
이 질문에 답하기 위해, 로먼 립스키 화가와 디지털 예술 집단인 YQP는 최초로 그 일을 실험해보는 프로젝트에 함께 참여했습니다.
“언 피니쉬드 원”은 진정한 예술적 지능을 창조하려는 시도로써 마치 뮤즈처럼 예술가에게 영감을 주고, 도전하고, 자극하는 첫 번째 인공 지능입니다.

로만 립스키는 1989년부터 베를린에 거주하며 활동하는 폴란드 화가입니다. 그의 작품은 보스턴 미술관, 중국 국립 미술관 그리고 이스탄불에 있는 엘지즈와 같은 현대 미술관 등
전 세계 수많은 미술관에 전시됐죠. 그뿐 아니라, 베를린에 있는 함부르거 반호프 미술관의 ‘마르크스 컬렉션’처럼 여러 컬렉션의 일부이기도 합니다.

YQP는 뉴욕과 베를린에서 온 막시밀리안 호치, 플로리안 도흐만 그리고 마누엘 어뱅크 등의 예술가 집단입니다. 그들은 ‘르 다텐마르크트’ 프로젝트로 우리 시대의 주제를 반영하면서
기술과 대화형 스토리를 접목했죠. 그들이 했던 상호 작용의 예술 실험은 독일 각지의 언론에 소개됐으며 디지털 프라이버시와 노동 가치를 논하는 토론을 촉발시켰습니다.
그들은 미디어 제작사인 ‘데르 다텐마르크트’ 와 함께 협업으로 실험 과정을 기록했습니다.

TEDx는 TED 컨퍼런스 형식의 강연이지만
지역 사회 중심으로 독립적인 강연을 합니다
http://ted.com/tedx에서 더 확인해 보세요
[출처]
https://www.youtube.com/watch?v=oVE5rRJa0D8&t=26s

The painter Roman Lipski (http://www.romanlipski.com/), the art collective YQP (http://www.yqp.computer/) and the AI company Birds on Mars (http://www.birdsonmars.com) present the birth of an artificial muse: An AI system that inspires, provokes, and challenges a painter through the mechanisms of science and technology.

Introducing the ongoing art project UNFINISHED: The first true partnership between a painter and artificial intelligence.

At the core of the project is a neural network that was fed with Lipski’s paintings. The system analyzed all facets of his art and learned how to generate an infinite amount of unique images. The images supplied Lipski with new compositions, perspectives, and themes.

Over the course of one year, machine and painter were in a constant intellectual dialogue. The machine’s impact on the artist was inevitable. Through the course of the project, Roman Lipski’s artistic language has fully transformed and has left him perpetually exploring uncharted ways to express himself.

It has become a machine in search of diversity, inspiration, and transformation.

Every day artificial intelligence breaks new records and surpasses more and more human capabilities. But can artificial intelligence be truly intelligent when it comes to art? To address this question, the painter Roman Lipski and the digital art collective YQP collaborated on the first project of its kind.

“Unfinished One” is an attempt to create a truly artistic intelligence; It’s the first AI that inspires, challenges, and provokes the artist, just like a muse.

Roman Lipski is a Polish painter who has lived and worked in Berlin since 1989. His art has been exhibited in numerous museums all over the world – such as the Museum of Fine Arts in Boston, the National Art Museum of China or the Elgiz Museum of Contemporary Art in Istanbul. Furthermore his work is part of several art collections such as the Marx Collection at Hamburger Bahnhof in Berlin.
http://www.romanlipski.com/

YQP is an artist collective consisting of Maximilian Hoch, Florian Dohmann and Manuel Urbanke from NY & Berlin. With projects like “Der Datenmarkt” the group reflects on topics of our time and blends technology with interactive storytelling. Their interactive art experiments have been featured in the press all over Germany and sparked discussion on digital privacy and the value of labour. The group is collaborating with the media production company derringer productions documenting their experiments.
http://www.yqp.computer/

This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx

In today’s ever-changing and growing world, artificial intelligence is quickly becoming more integrated within our everyday lives. What happens when we give total control to sentient machines? Leah Avakian discusses the possibilities of such a scenario, and how apps as simple as Siri could have dangerous real-world consequences. N/A 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

Philip revealed what we should expect from artificial intelligence which is a significant part of our lives already.

While math and problem solving comes naturally to Philip, the opposite can be said about his understanding of people. He has long ago recognized, that he needs a very deliberate effort to understand why people think and act the way they do. This has since become a passion and has led to a career as a professional poker player and now as an artificial intelligence researcher. Phil believes artificial intelligence will be the main factor shaping our future. This will be the topic of his talk. As an affectionate father of 2, he finds great purpose in working for a brighter future.

This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx

Some Fortune 500 companies are using tools that deploy artificial intelligence to weed out job applicants. But is this practice fair? In this episode of Moving Upstream, WSJ’s Jason Bellini investigates.

Watch for new episodes of Moving Upstream this fall.

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Arti cial Intelligence, we use it every day. “Often, we just don’t know it’s arti cial intelligence,” says speaker Roy Lenders. With this TEDx Talk he will give us insight into A.I. and show the possibilities. “By using AI, companies can gain a competitive advantage versus their competitors.” 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

Feb. 4 — Martine Rothblatt, the highest paid female CEO in the U.S., founded and runs a biopharmaceutical company, United Therapeutics. She took home $38 million dollars in 2013. Now she’s leading the way in artificial intelligence. Bloomberg’s Olivia Sterns sat down with Dr. Rothblatt and her latest invention — a robot.

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Bloomberg Television offers extensive coverage and analysis of international business news and stories of global importance. It is available in more than 310 million households worldwide and reaches the most affluent and influential viewers in terms of household income, asset value and education levels. With production hubs in London, New York and Hong Kong, the network provides 24-hour continuous coverage of the people, companies and ideas that move the markets.

Elon Musk is the CEO of Tesla, SpaceX, Neuralink, and a co-founder of several other companies. This conversation is part of the Artificial Intelligence podcast. The series includes leading researchers in academia and industry, including CEO’s and CTO’s of automotive, robotics, AI, and technology companies. See the comments I make in the introduction to this video below in text form.

INFO:
Podcast website: https://lexfridman.com/ai
Course website: https://deeplearning.mit.edu
YouTube Playlist: http://bit.ly/2EcbaKf
Paper: https://hcai.mit.edu/human-side-of-tesla-autopilot/
Podcast transcript: http://bit.ly/2KXRxOP

OUTLINE:
0:00 Introduction
2:35 Start of conversation: Autopilot motivation
4:01 Display the vehicle’s perception of the driving scene
7:11 Algorithms, data, and hardware development
10:23 Edge cases and common cases in driving
12:18 Navigate on Autopilot
13:57 Hardware and software path toward fully autonomy
17:08 Driver supervision of Autopilot
20:13 Human side of Tesla Autopilot (driver functional vigilance)
23:13 Driver monitoring
24:30 Operational design domain
26:57 Securing Autopilot against adversarial machine learning
28:29 Narrow AI and artificial general intelligence
30:10 Physics view of love
31:53 First question for an artificial general intelligence system

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Comments Made in Video Introduction:

This conversation is part of the artificial intelligence podcast. The series includes leading researchers in academia and industry, including CEO’s and CTO’s of automotive, robotics, AI, and technology companies.

This conversation happened after the release of the paper from our group at MIT on driver functional vigilance during use of Tesla’s Autopilot. The Tesla team reached out to me offering a podcast conversation with Mr Musk. I accepted, with full control of questions I could ask and choice of what is released publicly. I ended up editing out nothing of substance.

I’ve never spoken with Elon before this conversation, publicly or privately. Neither he nor his companies have any influence on my opinions nor on the rigor and integrity of the scientific method that I practice in my position at MIT. Tesla has never financially supported my research. I’ve never owned a Tesla vehicle. I’ve never owned Tesla stock.

This podcast is not a scientific paper, it is a conversation. I respect Elon as I do all other leaders and engineers I’ve spoken with. We agree on some things and disagree on others. My goal as always with these conversations is to understand the way the guest sees the world.

One particular point of disagreement in this conversation was the extent to which camera-based driver monitoring will improve outcomes and for how long it will remain relevant for AI-assisted driving. As someone who works on and is fascinated by human-centered AI, I believe that if implemented and integrated effectively, camera-based driver monitoring is likely to be of benefit in both the short-term and the long-term. In contrast, Elon and Tesla’s focus is on the improvement of Autopilot such that its statistical safety benefits override any concern of human behavior and psychology.

Elon and I may not agree on everything, but, I deeply respect the engineering and innovation behind the efforts that he leads. My goal here is to catalyze a rigorous, nuanced, and objective discussion in industry and academia on AI-assisted driving, one that ultimately makes for a safer and better world.

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.

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.

Artificial intelligence: how can a computer learn to perceive our reality. What are the
technological challenges of the future? This technological revolution will bring, without a
doubt, benefits and advantages, but it will bring also moral and social problems and we still
have to find solutions. Marco Cotrufo, pugliese e dal 2015 torinese di adozione. Attualmente si occupa di formazione e selezione del personale, sviluppo di soluzioni software per aziende in Europa e tutto ciò che riguarda le nuove tecnologie nel mondo del software. Dal 2009 al 2013 si è occupato dello sviluppo di piattaforme software per la pubblica istruzione, in collaborazione con il MIUR, in particolare per la realizzazione di strumenti per l’insegnamento a distanza e di sistemi per l’accessibilità scolastica per alunni con difficoltà. Negli ultimi tempi si è interessato al tema dell’intelligenza artificiale e degi aspetti morali e sociali legati ad essa. Collabora in alcuni progetti opensource italiani e partecipa a gruppi informali legati al mondo della tecnologia. 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

Prof. Jürgen Schmidhuber has been called the father of modern Artificial Intelligence. http://bit.ly/2BDTHcs

For the entire episode and link to TEDX click here: https://www.youtube.com/watch?v=-Y7PLaxXUrs

This video shows extracts from the presentation by Prof. Dr. Jürgen Schmidhuber (Scientific Director, Swiss AI Lab, IDSIA), recorded at the ETAS Connections 2017. [German]

Michael holds a Bachelor of Science degree with a major in theoretical physics minor in quantum chromodynamics from the Massachusetts Institute of Technology. He earned distinction in his master’s program in
aerospace systems architecture at the University of Southern California. He was selected as the TRW Space Technologies Black Engineer of the Year. He also is active as a filmmaker, and had one of his projects debut
at the Cannes International Film Festival. Michael holds a Bachelor of Science degree, with a major in Theoretical Physics, minor in Quantum Chromodynamics from the Massachusetts Institute of Technology. He earned distinction in his Master’s program in Aerospace Systems Architecture at the University of Southern California. He was selected as the TRW Space Technologies Black Engineer of the Year. He is also creative and active as a filmmaker and had one of his projects debut at the Cannes International Film Festival.

“Artificial Intelligence: The Coming Storm” 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

DO NOT PLAY WITH AI ROBOTS AT 3AM!!! (ARTIFICIAL INTELLIGENCE ROBOT GONE WRONG)
Today we played with the ouija board at 3am to see if an AI Robot could talk to it! Artificial intelligence has been getting better and better over the years. Now in 2017 AI robots have become very intelligent! They may even take over! We had played with the AI robot at 3AM and it actually came after us and had gone wrong! Do not play with Artificial intelligence AI Robots at 3am and this is why! If you want more scary 3am challenge subscribe to ImJayStation!

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*MY CLOSET GAME VIDEO*
https://www.youtube.com/watch?v=dRRhWrt8FdY

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Kaiesh Vohra has earned a first class honours degree in Artificial Intelligence and Computer Science from University of Edinburgh. He loves coding and everything to do with technology. In his talk, he speaks about Artificial Intelligence – its impact, why we should know about it, and why we should get involved with it.

Kaiesh Vohra is the co-founder and CEO of Lucep, a customer experience management startup from Singapore. His company has signed global deals with blue-chip organisations, and has established partnerships with some of the world’s largest consultancies to facilitate integration into enterprise clients. Kaiesh previously served as an internal IT strategy consultant for Credit Suisse in Singapore, and for large oil and gas, and telecommunications clients across Europe with Accenture UK.

This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx

Computers already play games such as Super Mario Bros or chess better then humans do. But can they understand emotions and interact with humans? Or even become smarter than the human race? In his insightful talk, 22 year-old Daniel Dippold shows how a computer plays Super Mario and discovers the rules all by itself. He explains that society has not clearly defined what AI is yet and appeals urgently to the viewers by suggesting an open and broader discussion on the philosophical and ethical aspects of AI.

Daniel is a motivated and easygoing young individual. He is president of The Kairos Society in Switzerland, entrepreneur of two companies which are in their seed stage, and a productivity, performance and fitness coach. He has worked in South Africa, Australia, Switzerland and Germany. He holds various Board Positions, such as Vice President at Toastmasters SG, Partner at YouKnow and Member of the Supervisory Board at Project, a 400 employee corporation. Prior to that, he has been part of organising the St. Gallen Symposium, a platform for intergenerational debate (www.symposium.org), and START Summit, Europes biggest student-run entrepreneurship conference (www.startsummit.org). His grades at the university score in the highest percentile (99%). Though studying business, his areas of interest are the realms of AI, neurology and productive psychology (esp. habits).

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

Stanford Law Professor David Freeman Engstrom discusses the law and AI community during the human and societal impact lightning talk at the inaugural HAI Symposium on March 18, 2019.

Culture, creatives, and the marketplace are becoming more interested in the development of Artificial Intelligence. In 2014, AI startups saw a 302 percent increase in funding. The potential to better our lives, solve global problems, and innovate completely new fields of study is exciting and humbling. But how should we think about these trends through the lens of spiritually? Kevin Kelly of WIRED magazine helps us understand what AI means for how our culture can and will change, and challenge us to consider the implications for religion, spirituality, and faith.

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