Paul LeBlanc gives a speech about the future of A.I. and warns the tech industry danger is inevitable.

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NEXT is a propulsive, fact-based thriller about the emergence of a deadly, rogue Artificial Intelligence, a series that asks us to look closely not only at our relationship to technology, but to one another. Silicon Valley pioneer Paul Leblanc built a fortune and legacy on the world-changing innovations he dreamed up, while ignoring and alienating the people around him, including his own daughter, Abby, and his short-sighted younger brother, Ted, who now runs Paul’s company. After discovering that one of his own creations – a powerful artificial intelligence called neXt – might spell doom for humankind, Paul tried to shutter the project, only to be kicked out of the company by his own brother, leaving him with nothing but mounting dread about the fate of the world.

When a series of unsettling tech mishaps points to a potential worldwide crisis, Paul joins forces with Special Agent Shea Salazar. Having escaped crime, poverty and a deadly criminal father to remake herself as a force for good, Salazar’s strict moral code and sense of duty have earned her the respect of her team – a talented but contentious group held together by her faith in their ability to defy expectations and transcend their differences, including Gina, a high-strung cybercrime agent; Ben, a straight-laced, buttoned-up hard worker, who is boring to the point of being interesting; and CM, an ex-con hacker with a genius IQ. But the demands of Shea’s challenging job have taken their toll on her home life, where Salazar’s young son, Owen, has been raised primarily by his father, Ty, a recovering alcoholic.

Now, LeBlanc and Salazar are the only ones standing in the way of a potential global catastrophe, fighting an emergent superintelligence that, instead of launching missiles, will deploy the immense knowledge it has gleaned from the data all around us to recruit allies, turn people against each other and eliminate obstacles to its own survival and growth.

Paul LeBlanc Fears The Worlds Fate | Season 1 Ep. 1 | NEXT
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#NEXT

In this video, Yufeng Guo applies deep learning models to local prediction on mobile devices. Yufeng shows you how to use TensorFlow to implement a machine learning model that is tailored to a custom dataset. You will come away knowing enough to get started solving your own deep learning problems.

Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h
Watch more talks about Big Data & Machine Learning here: https://goo.gl/OcqI9k

Discover the latest innovation and the positive impact of Artificial Intelligence technologies.

The Applied AI Conference is a must-attend event for people who are working, researching, building, and investing in Applied Artificial Intelligence technologies and products.

Keynote – Quantum AI: The Next Frontier

Dr. Colin P. Williams, Director of Strategy & Business Development, D-Wave Systems, Inc.

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Sources:

https://www.cnet.com/news/hrp-4-robot-can-strike-a-pose-pour-drinks/

http://www.onlinedrifts.com/2018/03/use-of-robots-in-medical-science-today-and-the-future.html

https://med.nyu.edu/robotic-surgery/physicians/what-robotic-surgery/how-da-vinci-si-works

https://cs.stanford.edu/group/manips/ocean-one.html

http://www.i-programmer.info/news/169-robotics/11582-opencat.html

They did surgery on a grape

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The buzz in the IT world now is around Robotic Process Automation (RPA), which has the potential to upend business like nothing since the advent of the internet. Defined as software agents that are programmed to perform repeatable, rules-based tasks in business processes, RPA is already making organizations faster, more accurate and better able to scale their businesses to shifts in the market. Tanvir Khan, vice president, Business Process Outsourcing Solutions for Dell Services, talks about the value of the RPA solution and how it can help human labor rather than threaten it.

http://cnet.co/1ngoPB0
The new wave of cameras is changing how you use your phone and tablet; why are batteries so far behind the advancement of other technology? And are tablets already hitting their plateau?

Machine learning is moving toward an important advance: the development of flexible systems that can learn to perform multiple tasks and then use what they have learned to solve new problems on their own.

While substantial progress has been made, significant improvements to hardware, software and system design remain to be made before truly flexible systems are developed.

Two important contributors to the field of artificial intelligence and machine learning – Jeff Dean, head of Google AI and the co-founder of Google Brain, and Chris Ré, associate professor of computer science at Stanford – discussed the future of flexible machine learning at a recent session of the AI Salon, hosted by the Stanford AI Lab and the Stanford Institute for Human-Centered Artificial Intelligence.

The hour-long discussion highlighted the following takeaways:

•The use of specialized processing chips has already contributed to advances in machine learning, but some of those devices are beginning to reach a performance plateau, said Ré. Improvements are still possible, but designing hardware tailored to artificial intelligence projects is difficult because the field is evolving so quickly. Designing learning models that can more efficiently utilize the computing systems they run on will solve at least some of the performance issues, the researchers said.

•With privacy a key requirement, Google has advanced an approach called “federated learning,” which enables mobile phones to do a better job predicting what words users are attempting to input to their phone without sending the data to the cloud, Dean said. In the future, smartphones will likely contain specialized “accelerators” to take better advantage of machine learning, he added.

•While there has been progress in some areas of flexible machine learning, “we don’t have a huge number of strong results,” Dean said. Scientists have yet to make their models capable of handling large numbers of tasks.

How to reduce the drop-off ratio in an online insurance process?

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Discover how CSP enables you to modernize your applications no matter where they are. Plus, learn how to undo human bias at scale with KubeFlow.

Watch more:
Next ‘19 All Sessions playlist → https://bit.ly/Next19AllSessions Subscribe to the GCP Channel → https://bit.ly/GCloudPlatform

Artificial Intelligence has increasingly become part our lives, from conversational bots, autonomous machines, personalized medicine to predictive analytics and facial recognition systems. These AI-based technologies are often regarded as black-boxes and the lack of interpretability and explainability of their functioning, predictions and assessments hamper our ability to fully trust them. In this talk, Dr. Luca Longo, academic, scientist, public speaker and teaching hero, emphasizes this problem through real-world examples, and he introduces a new discipline aimed at tackling it, namely Explainable Artificial Intelligence (XAI). This is a new paradigm that has started shaping the way we see and interact with machines. It will be revolutionary because it will finally empower human intelligence with artificial intelligence. Assistant Professor of the Technological University Dunlin, awarded the National Teaching Hero in Ireland in 2016, artificial intelligence researcher. 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

Roboticist Andrea Thomaz gives us an under-the-hood peak at what is coming in the field of Robotics where robots will eventually be able to function and collaborate with humans as naturally as humans do with each other in social situations.

Andrea Thomaz knows robots. Her work developing robots that don’t need programming to perform every task and that can collaborate side by side with humans as assistants, domestic help, etc. has been recognized by the National Science Foundation and the Office of Naval Research. Her work with social robots “Simon” and “Curi” has been featured in the New York Times and on NOVA Science Now.

In 2012, Thomaz was named to Popular Science Magazine’s “Brilliant 10” and she was named an “Innovator under 35” by MIT Technology Review in 2009. She is an Associate Professor of Interactive Computing at the Georgia Tech and director of the Socially Intelligent Machines lab. She earned a B.S. in Electrical and Computer Engineering from the University of Texas at Austin in 1999, and Sc.M. and Ph.D. degrees from MIT in 2002 and 2006. Thomaz has published in the areas of Artificial Intelligence, Robotics, and Human-Robot Interaction.

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

http://cnet.co/1ngoPB0
Brian Cooley discusses rise of image recognition software on smartphones and tablets, and why the technology is gaining momentum in the retail market.

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Dr Ben Goertzel is the Founder and CEO of SingularityNET and Chief Science Advisor for Hanson Robotics.

He is one of the world’s leading experts in Artificial General Intelligence (AGI), with decades of expertise in applying AI to practical problems like natural language processing, data mining, video gaming, robotics, national security and bioinformatics.

He was part of the Hanson team which developed the AI software for the humanoid Sophia robot, which can communicate with humans and display more than 50 facial expressions.Today he also serve as Chairman of the AGI Society, the Decentralized AI Alliance and the futurist nonprofit organisation Humanity+.

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Winter Intelligence Oxford http://winterintelligence.org – Organized by the Future of Humanity Institute http://fhi.ox.ac.uk/ – AGI12 – http://agi-conference.org/2012
==The Next Generation of the MicroPsi Framework== Joscha Bach, Humboldt University of Berlin, Germany

Human bias is a notorious hindrance to effective risk management, and humans have long relied on machines to help them compensate for these errors. In particular, algorithmic, rules-based decision-making has done much to limit human bias in risk analysis. Machine learning is now lifting this work to the next level by uncovering trends and correlations heretofore unknown, and by enabling real-time access to high-frequency data. CEOs from innovative big data companies will reveal some of the most exciting new discoveries and applications of this sophisticated technology.

Moderator
Staci Warden
Executive Director, Center for Financial Markets, Milken Institute

Speakers
Eduardo Cabrera
Chief Cybersecurity Officer, Trend Micro

Stuart Jones, Jr.
CEO, Sigma Ratings Inc.

Mark Rosenberg
CEO and Co-Founder, GeoQuant Inc.

Stephen Scott
Founder and CEO, Starling Trust Sciences

#MIGlobal

http://www.milkeninstitute.org/events/conferences/global-conference/2018/

In this video, futurist Shivvy Kervis and Victoria Peppiatt discuss a few hot topics surrounding the future of artificial intelligence. Key points covered include:
– What can we expect to see in the next generation of AI?
– How might AI truly impact jobs? Is there a case for reskilling?
– What are some tangible uses of this technology?

Victoria Peppiatt is the co-founder and COO of AI company Phrasee, which specialises in generating brand-compliant copy for business’ marketing needs. You can find out more at https://phrasee.co/.

In this interview, Victoria gives us an insight of what we can expect to see in the next generations of AI and discusses her view on why public opinion is so taken with artificial intelligence.

One of the main issues raised by the public has always been the loss of jobs due to new AI technology, but in this video, Victoria shares her view that AI technology will augment our existing work rather than displace it. She gives the example of Phrasee which like other AI companies has had to create new roles to answer a new demand – generated by the emerging technologies.

This leads on to the topic of reskilling for these new roles, particularly for people who have been in their sector for many years. In Victoria’s point of view, embracing these new technologies is essential to avoid being left behind.

Finally, Victoria gives us a few examples of tangible use of AI technology in sectors that can be more unexpected, such as therapy and education. She highlights how robotics and AI have been tested in classrooms to assist autistic children and how we can expect to see many more uses of AI technology in education.

The uses of these new technologies are as varied as they are promising, and more and more people are likely to come on board thanks to the huge potential and benefits that artificial intelligence can have.

Empiric is an award-winning recruitment agency specialising in data, digital, cloud and security. With offices in the UK, Scandinavia, Europe and even the USA, it’s a truly international agency focusing on finding the best professionals for high-profile companies.

More than searching job boards or CV databases, Empiric fully commits to source and nurture talent while extensively getting to know the market.

Our agency understands the need for niche tech & change professionals and plays an active part in the tech community, with initiatives such as Next Tech Girls, aimed at raising the profile of women in the UK technology industry. Empiric also regularly hosts events on topical tech issues and engages with the community.

Find out more about Empiric here: https://www.empiric.com/aboutus/our-services/

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Our LinkedIn page: https://www.linkedin.com/company/135385/

Check out our blog for more news on AI and technology: https://www.empiric.com/blog/artificial-intelligence/

Watch this video again: https://www.youtube.com/watch?v=FfuPh59jhNk

New advances in machine learning are helping organizations optimize operations, maximize output, and automate manual processes. However, the scalability of such solutions across hundreds or thousands of unique assets is extremely difficult and requires teams of data scientists and technicians to constantly build, test, and deploy machine learning models.
What if you could automatically create customized machine learning models? In this session, we will discuss how Darwin™, SparkCognition’s automated model building platform, solves these problems for Apergy by automating machine learning model development. We will also offer a window into how Darwin™ empowers upstream oil and gas, as well as other industries, to improve business operations with the assistance of Google’s powerful Cloud Platform.

MLAI109

Event schedule → http://g.co/next18

Watch more Machine Learning & AI sessions here → http://bit.ly/2zGKfcg
Next ‘18 All Sessions playlist → http://bit.ly/Allsessions

Subscribe to the Google Cloud channel! → http://bit.ly/NextSub

Hank takes you to the next frontier of innovation: the XPrize for Artificial Intelligence, talking about how true AI can be measured, and what the future might look like.

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Sources:
http://deepmind.com/
http://www.theatlantic.com/magazine/archive/2013/11/the-man-who-would-teach-machines-to-think/309529/
http://blogs.wsj.com/digits/2014/03/21/zuckerberg-musk-invest-in-artificial-intelligence-company-vicarious/
https://www.authintmail.com/article/science-environment/xprize-artificial-intelligence-ted
http://www.engadget.com/2014/03/20/xprize-wants-to-fund-artificial-intelligence-ted-talk/
http://blog.ted.com/2014/03/20/a-ted-talk-from-artificial-intelligence-theres-an-xprize-for-that/
http://www.xprize.org/press-release/xprize-and-ted-announce-a-global-competition-to-advance-artificial-intelligence

http://www.VPI-corp.com/VirtualSource
VPI Conversational Virtual Agents powered by Artificial Intelligence
It’s time to reshape the way we think about customer telephone self-service. Stop scripting. Start conversing. Stop disappointing. Start delighting. Watch to learn how VPI’s conversational virtual agents in the cloud can help you effectively automate a wider variety of inbound and outbound call types while lowering costs and improving customer experience.

From AI to mobility, we asked leading figures at the Goldman Sachs Disruptive Technology Symposium in London what they see as the next big technology trend of the future. Learn More https://www.goldmansachs.com/insights/pages/disruptive-tech-symposium-2019.html

Machine learning is notorious for reinforcing existing bias, but it can also be used to counteract it. Primer developed an ML system called Quicksilver that identifies and describes notable women of science who are missing from Wikipedia. It takes millions of news documents as input and generates first-draft biographical articles.

Kubeflow made it far easier to scale and maintain this system. Come learn how Primer partnered with Google to migrate to GCP in order to:

* Deploy the same code to multiple physical environments
* Affordably scale an existing ML app using Kubeflow with auto-provisioning
* Continuously train hundreds of thousands of models using Kubeflow pipelines

Watch more:
Next ’19 ML & AI Sessions here → https://bit.ly/Next19MLandAI
Next ‘19 All Sessions playlist → https://bit.ly/Next19AllSessions

Subscribe to the GCP Channel → https://bit.ly/GCloudPlatform

Speaker(s): John Bohannon, Michelle Casbon

Session ID: MLAI206
product:Compute Engine;

Machine learning is notorious for reinforcing existing bias, but it can also be used to counteract it. Primer developed an ML system called Quicksilver that identifies and describes notable women of science who are missing from Wikipedia. It takes millions of news documents as input and generates first-draft biographical articles.

Kubeflow made it far easier to scale and maintain this system. Come learn how Primer partnered with Google to migrate to GCP in order to:

* Deploy the same code to multiple physical environments
* Affordably scale an existing ML app using Kubeflow with auto-provisioning
* Continuously train hundreds of thousands of models using Kubeflow pipelines

Watch more:
Next ’19 ML & AI Sessions here → https://bit.ly/Next19MLandAI
Next ‘19 All Sessions playlist → https://bit.ly/Next19AllSessions

Subscribe to the GCP Channel → https://bit.ly/GCloudPlatform

Speaker(s): John Bohannon, Michelle Casbon

Session ID: MLAI206
product:Compute Engine;

Simulation of mechanisms of coding, data processing in biological systems at the molecular level provides promising tools for next generation cognitive systems with the capability of real-time response to the environmental signals. In my research, I apply biological coding to define algorithms for solving NP hard problems. In this TED Talk I’ll present the results and provide insights and applications for molecular sensors and implications for next generation of artificial intelligence.

Dr. Tara Karimi is a multi-disciplinary scientist who has devoted her academic life to learning biological systems and applying the natural principles to the outside world. Dr. Karimi holds two PhDs in veterinary science and biochemistry and has completed several post doc projects in tissue engineering, genetic engineering, molecular and developmental biology, stem cell research, and regenerative medicine.

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

ICYMI, we’ve got highlights from Google Next ’17 Day 1 Keynote in under 4 minutes including major announcements around machine learning and AI. Speakers included Sundar Pichai, Diane Greene, Fei-Fei Li and Eric Schmidt. Plus appearances from customers like SAP, HSBC, Home Depot & more. https://cloudnext.withgoogle.com/

Hear from Diane Greene, SVP of Google Cloud; Sundar Pichai, CEO of Google; Eric Schmidt, Chairman of Alphabet and Fei-Fei Li, Chief Scientist for Google Cloud Machine Learning and AI and Professor of Computer Science at Stanford. Our lineup of executives will discuss what Google Cloud offers today and discuss Google Cloud’s vision for the future. Attendees will also hear how our customers and partners are embracing the cloud in new and innovative ways.

Missed the conference? Watch all the talks here: https://goo.gl/c1Vs3h

Introducing future robotics technology 2020 artificial intelligence, future of robotics technology year 2020 sees robotics gain momentum and become vital components in a number of applications. The robotics industry creates 3 million additional jobs between 2014 and 2020, led by consumer electronics and the electric vehicle industry. By 2020, robotics is a $100 billion industry, equivalent in size to the worldwide medical tourism industry in 2012. The rehabilitation robot market grows 40-fold between 2014 and 2020, fueled by advancements in rehab/therapy robots, active prostheses, exoskeletons, and wearable robotics. Between 2017 and 2020, the use of robotics generates 2 million additional job positions. The Next Door Robots Images created by Niko Photographisme. #FutureRobots, #FutureRoboticsTechnology #Technology2020 #Robots

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