Rodney Brooks is a computer scientist, roboticist, and entrepreneur. He was a Panasonic Professor (emeritus) of Robotics at the Massachusetts Institute of Technology and former director of the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL). He is a founder and former Chief Technical Officer of iRobot (makers of Roomba vacuum).

Brooks delivered his Shannon Luminary Lecture "The future of Innovation in Artificial Intelligence and Robotics" on December 13, 2018. Today we see the successful exploitation of innovative AI research that will stretch on for many years. Eventually we will need new innovations, on the order of importance of Deep Learning to continue to fuel AI and robotics deployment. This talk will explore the history of hard problems in AI, what is still very hard today, and how early along the way towards human level intelligence we really are.

This Slaughterbots Film demonstrates how Artificial Intelligence in Killer Drones can change the landscape in targeting humans.

A collaboration between University of California-Berkeley professor Stuart Russell and the Future of Life Institute that shows a future in which palm-sized, autonomous drones use facial recognition technology and on-board explosives to commit untraceable massacres.

The film is the researchers' latest attempt to build support for a global ban on autonomous weapon systems, which kill without meaningful human control.

They released the video to coincide with meetings the United Nations' Convention on Conventional Weapons is holding this week in Geneva, Switzerland, to discuss autonomous weapons.

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The news media in recent months have been full of dire warnings about
the risk that AI poses to the human race, coming from well-known
figures such as Stephen Hawking, Frank Wilczek, and Elon Musk. Should
we be concerned? If so, what can we do about it? While some in the
mainstream AI community dismiss these concerns, I will argue instead
that a fundamental reorientation of the field is required.

WAR IPhone8 AI Facial Recognition Artificial Intelligence DARP Robot Slaughterbot Tactical Unmanned Combat Air Vehicles (UCAV) Hunter Killer Drone Anti Personnel Weapons Silicon AI Life Forms ISIS DJI Drone Attack militarizing technologies AI Face Recognition artificially intelligent autonomous war machine United Nations Convention AI Facial Recognition Conventional Weapons in Geneva Switzerland Weapon of Mass Destruction WMD Police Drone
Drone Video Centre for the Study of Existential Risk is delighted to host Professor Stuart J. Russell (University of California, Berkeley) for a public lecture on Friday 15th May 2015. The Long-Term Future of (Artificial) Intelligence Abstract: The news media in recent months have been full of dire warnings about the risk that AI poses to the human race, coming from well-known figures such as Stephen Hawking, Elon Musk, and Bill Gates. Should we be concerned? If so, what can we do about it? While some in the mainstream AI community dismiss these concerns, I will argue instead that a fundamental reorientation of the field is required. Stuart Russell is one of the leading figures in modern artificial intelligence. He is a professor of computer science and founder of the Center for Intelligent Systems at the University of California, Berkeley. He is author of the textbook ‘Artificial Intelligence: A Modern Approach’, widely regarded as one of the standard textbooks in the field. Russell is on the Scientific Advisory Board for the Future of Life Institute and the Advisory Board of the Centre for the Study of Existential Risk.
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Artificial Intelligence Future Battlefield Slaughterbot Killer Drones WARNING Graphic Content Drone Racing Elon Musk War Warfare Tactics ape chimpanzee vs drone Evil Mad Scientist Elon Musk

The Vienna Deep Learning Meetup and the Centre for Informatics and Society of TU Wien jointly organized an evening of discussion on the topic of Ethics and Bias in AI. As promising as machine learning techniques are in terms of their potential to do good, the technologies raise a number of ethical questions and are prone to biases that can subvert their well-intentioned goals.

Machine learning systems, from simple spam filtering or recommender systems to Deep Learning and AI, have already arrived at many different parts of society. Which web search results, job offers, product ads and social media posts we see online, even what we pay for food, mobility or insurance - all these decisions are already being made or supported by algorithms, many of which rely on statistical and machine learning methods. As they permeate society more and more, we also discover the real world impact of these systems due to inherent biases they carry. For instance, criminal risk scoring to determine bail for defendants in US district courts has been found to be biased against black people, and analysis of word embeddings has been shown to reaffirm gender stereotypes due to biased training data. While a general consensus seems to exist that such biases are almost inevitable, solutions range from embracing the bias as a factual representation of an unfair society to mathematical approaches trying to determine and combat bias in machine learning training data and the resulting algorithms.

Besides producing biased results, many machine learning methods and applications raise complex ethical questions. Should governments use such methods to determine the trustworthiness of their citizens? Should the use of systems known to have biases be tolerated to benefit some while disadvantaging others? Is it ethical to develop AI technologies that might soon replace many jobs currently performed by humans? And how do we keep AI and automation technologies from widening society's divides, such as the digital divide or income inequality?

This event provides a platform for multidisciplinary debate in the form of keynotes and a panel discussion with international experts from diverse fields:


- Prof. Moshe Vardi: "Deep Learning and the Crisis of Trust in Computing"
- Prof. Sarah Spiekermann-Hoff: “The Big Data Illusion and its Impact on Flourishing with General AI”

Panelists: Ethics and Bias in AI

- Prof. Moshe Vardi, Karen Ostrum George Distinguished Service Professor in Computational Engineering, Rice University
- Prof. Peter Purgathofer, Centre for Informatics and Society / Institute for Visual Computing & Human-Centered Technology, TU Wien
- Prof. Sarah Spiekermann-Hoff, Institute for Management Information Systems, WU Vienna
- Prof. Mark Coeckelbergh, Professor of Philosophy of Media and Technology, Department of Philosophy, University of Vienna
- Dr. Christof Tschohl, Scientific Director at Research Institute AG & Co KG

Moderator: Markus Mooslechner, Terra Mater Factual Studios

The evening will be complemented by networking & discussions over snacks and drinks.

More details:

Stanford Law Professor Dan Ho discusses modernizing the administrative state during the human and societal impact lightning talk at the inaugural HAI Symposium on March 18, 2019.

Stanford Law Professor Dan Ho discusses how AI is shifting the understanding of the Constitution during the human and societal impact lightning talk at the inaugural HAI Symposium on March 18, 2019.

An introduction to the breadth of topics in the field of AI and human rights, and a welcome to the distinguished panelists and attendees.

Keynote speakers:
David Freeman Engstrom is a far-ranging scholar of the design and implementation of litigation and regulatory regimes whose expertise runs to civil procedure, administrative law, federal courts, constitutional law, legal history, and empirical legal studies. Current work includes a study for the Administrative Conference of the United States on AI use by federal agencies and a project on the effect of emerging legal technologies on the civil justice system. He is also serving as an Associate Dean at Stanford Law and is leading an initiative charting the school’s future around digital technology. Beyond teaching and research, Engstrom has served as counsel or consultant to a range of public and private entities and is a frequent amicus before the U.S. Supreme Court. He is an elected member of the American Law Institute and a faculty affiliate at the Stanford Human-Centered AI Initiative and at CodeX: The Stanford Center for Legal Informatics. He has a J.D. from Stanford Law School, an M.Sc. from Oxford University, and a Ph.D. from Yale University.

Alexa Koenig, Ph.D., J.D, is the Executive Director of the Human Rights Center (winner of the 2015 MacArthur Award for Creative and Effective Institutions) and a lecturer at UC Berkeley School of Law, where she teaches classes on human rights and international criminal law with a particular focus on the impact of emerging technologies on human rights practice. She co-founded the Human Rights Investigations Lab, which trains undergraduate and graduate students to use cutting-edge open source methods to support human rights advocacy and accountability. Alexa is co-chair of the World Economic Forum’s Global Future Council on Human Rights and Technology, a member of the American Association for the Advancement of Science’s Committee on Scientific Freedom and Responsibility, co-chair of the Technology Advisory Board of the Office of the Prosecutor at the International Criminal Court, and a founding member of the board of advisors for ARCHER, a UC Berkeley-established nonprofit that leverages technology to make data-driven investigations accessible, smarter and more scalable. Alexa has been honored with several awards for her work, including the United Nations Association-SF’s Global Human Rights Award, Mark Bingham Award for Excellence, the Eleanor Swift Award for Public Service, the Phi Beta Kappa Northern California Teaching Excellence Award, and diverse grants, including support from the National Science Foundation and numerous private foundations. Her research and commentary have appeared in the Annual Review of Law and Social Science, Foreign Policy, Foreign Affairs, US News and World Report, and elsewhere.

TOP 4 companies that are Developing Artificial Intelligence ( AI )

IBM Watson
Vicarious Elon musk Ashton kucher JEFF Bezos Dileep George Scott Phoenix are the founders
Google's deep mind demis hassabis
Apple's Siri

Technology Trends That Will Change The World

Driverless cars
Free inter worldwide with satelites and baloons with google Facebook Qualcomm Elon musk Richard Branson
Ubiquitous solar
Nano technology nano computing
Ubiquitous computing
Internet of things 50 billion devices connected by 2020
Human genome genomics
3D printers
Exo skeletons

All these trends will disrupt many industries along the way. All industries where the
products is DEMATERIALIZED in bits zeros and ones becomes quickly demonetized.



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Max Tegmark (author of LIFE 3.0 and professor of physics at MIT) looks at three ways A.I. is changing humanity's future, and how to make sure it's changing for the better. Read more about LIFE 3.0:

What is AI (Artificial Intelligence): This video is an explanation of the definition of AI (Artificial Intelligence), the 3 main categories: ASI (Artificial Superintelligence), AGI (Artificial General Intelligence) and ANI (Artificial Narrow Intelligence) and the current state of the technology.

Sign up to the Newsletter to keep updated on education, news and information on the advances in AI:

US Government : Preparing for the Future of AI

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This presentation was recorded at GOTO Copenhagen 2018. #gotocon #gotocph

Danny Lange - VP of AI and ML at Unity Technologies and previously led innovative ML teams at Uber, AWS and Microsoft

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:

Dr. Ben Goertzel, a self-described Cosmist and Singularitarian, is one of the world's leading researchers in artificial general intelligence (AGI), natural language processing, cognitive science, data mining, machine learning, computational finance, bioinformatics, and virtual worlds and gaming He has published a dozen scientific books, 100+ technical papers, and numerous journalistic articles.

here is the original video published 3 years ago without the commentary:

The most important topic regarding modern Artificial intelligence is the robot's ability to do recursive tasks. Opening a door or baking a cake or doing any human task requires recursive tasks. For example, when you open a door there are many recursive sub-tasks you must do, such as having the key, or turning the door knob. My AI program uses movie sequences called pathways to store life experiences. Therefore, recursive tasks are stored as linear possibilities. This way, I don't have to pre-define rules or goals or procedures into the robot's brain.

When I filed my patents and books starting from 2006, my goal was to design a robot with human level AI. The benchmark i used to test the robot's cognitive skills and abilities is to let it play video games. If my robot can play every video game in the world, then it has achieved intelligence at a human-level.

In my first patent filed in 2006 (priority), I used the popular video game, Zelda to demonstrate my robots intelligence. I chose this game because it is very complex and requires at least a 6th grade level intelligence to beat. If the robot can play Zelda it can essentially play any video game.

The important thing is that I tried to demonstrate how my robot does recursive tasks. While the robot is managing multiple tasks, it's also doing other things like:
1. navigate in an unknown environment
2. attack enemies
3. generate common sense knowledge.
4. solve problems.
5. do induction and deduction reasoning.
6. do multiple recursive tasks.
7. read and understand natural language.
8. identify objects and generate logical facts. etc.

The A.I. is playing this call of duty game for the first time and is using a general pathway to play the game. Since this is the first time, the robot doesn't understand the rules, goals, or procedures of the game. He uses common sense knowledge and logical reasoning to discover the objectives and rules of the game. In other words, the robot is using logical and reasoning to discover recursive tasks.

This video was made over 3 years ago and this is the first time I'm trying to explain how and why the robot makes decisions in the game. And the content in this video is based on 8 patents and 5 books filed from 2006-2007.

the data structure to Human-Level AI:


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AI와 온라인쇼핑과 투자

With the evolution of artificial intelligence and robotics, you may wonder how our everyday lives are changing.
Well, recent commercial trends show that, as consumers, we are already using some of these developments to shop and bank more efficiently.
Oh Soo-young gives us a preview... in our news feature tonight.
Whether you're shopping online for clothes, groceries or a gift, you could browse aimlessly for hours if you don't already know what you're looking for.
That's why online retailers in Korea are working to upgrade their services to help customers get the most out of their shopping experiences -- with the help of artificial intelligence.

"When you're out and about, you might see a jacket or a top you like but don't have a way or the time to check the label. Well, with this app, all you have to do is take a quick photo."

Simply press the search bar and select the image option.
Then, take a photo and specify which piece of clothing you're looking to find... and the app will produce a list of items with the same or similar features.
Another easy way to find the best product for yourself... is the app's voice recognition service.

"Show me some popular gifts for a girlfriend."

It not only picks up the words you're saying, it understands your questions and makes recommendations.
The app also allows customers to track a delivery, check membership points and look up questions and answers -- all through voice recognition software.

"Where is the product that I ordered?"

"This year, we're aiming to provide most mobile shopping services, like ordering and paying for purchases, through voice recognition. Also, we're planning to expand our image search service so it can recognize all objects and text."

It's not just online shopping.
The financial sector is also incorporating artificial intelligence.
Banks in Korea are making use of "smart-bots" to assist customers around the clock.
Those using the chatting platform Kakaotalk... can simply text a question... and they'll receive an immediate response.
Frequently asked questions and common keywords are constantly fed into a giant database that "trains" the AI system.

"We also plan to add services that analyze individual preferences -- whether a person prefers deposits or installment savings, or if they tend to make purchases with a credit card. We can provide recommendations based on that,... leading to registration for new products on the spot."

Investment firms are even starting to use so-called "robo-advisors" that act as portfolio managers and help make clients make buy-or-sell decisions.

"First, can provide investment advice or portfolio management services by analyzing profitability based on the real-time situation or market trends. Second, services are available anytime and service charges are lower. And third, ordinary investors normally find it difficult to collect or acquire market information so this can help resolve the problem."

This investment bank recently released a fund that's designed to achieve an eight-percent return with far less volatility than average products.

"When a person manages a fund -- because equity market, human psychology is very important -- It's not consistent. People can get greedy. This AI system, ... a systematic system with an algorithm built and of course that needs to be upgraded over time continuously. I think this will be able to provide investors with much better trust because the volatity itself will become much less."

Experts say AI-based products are increasing in number and diversifying as we speak.
The voice recognition and AI software industries are expected to grow to 3-point-6 billion and 2-point-9 billion dollars, respectively, by 2020.

"In the future, robot-advisors and other AI-based services will expand to most sectors and be applied in corporate decision-making. Companies and universities developing relevant technologies need active support as well as a stronger legal configuration to help pave the way for the creation of new services."

The expansion of artificial intelligence is already helping people in Korea make more informed purchases and investments... and its advance is expected to keep making commercial services faster and more convenient.
Oh Soo-young, Arirang News.

By exploring how technology is changing how we receive, process and contribute information, and therefore how we interact with culture, Colum discuss how we are in the process of re-writing our cultural paradigm. Is Artificial Intelligence an educational game-changer, or should we fear it?

Colum Elliott-Kelly is Head of Education at Blippar, the world's leading visual discovery platform. Blippar Edu's vision is to turn the world into an interactive learning environment, and the scope of the strategy covers schools, cultural institutions, workplaces and the world around us. Before joining Blippar in Summer 2014, Colum co-founded an e-learning start-up which brought world class lecturers and content to UK secondary schools. He is currently pre-launch on a non-profit organisation dedicated to promoting educational technology in the developing world.

This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at

We all know our future is totally dependent on technology and this technology with Artificial Intelligence is not only changing our present but also creating our future also now day by day all the technology are stated using this Artificial Intelligence concept for more accuracy and reliability and believe me it's not a difficult task to understand this concept and with this Artificial Intelligence concept you can easily build drones and robots .

So What is Artificial Intelligence and how we can build drones and robots with this Technic? (Hindi)


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This presentation was recorded at GOTO Copenhagen 2017

Michael Green - Machine Learning Expert and Artificial Intelligence Evangelist

In a world where deep learning and other massively scalable perception machines are at our disposal, allowing us to build amazing applications, the time is now ripe to move beyond the concept of pure perception and into broader Artificial Intelligence (AI). The path towards AI goes through what's missing in many applications today; Inference. Only when we combine Inference machines and Perception machines [...]

Download slides and read the full abstract here:
#DataScience #ML #AI #Blackwood

Read More:
Product implementation in PSU. Inviting Artificial Intelligence startups to apply now!
We seek AI enabled industry-centric solutions:
1. Automated text messages &
2. Chatbots
The selected startups will get an opportunity to deploy their solutions at Goa Shipyard Limited.

VHAcK Hackathon is scheduled on the 8th, 9th & 10th of March 2019.
We seek AI enabled industry-centric solutions in Automated text messages & Chatbots. The selected startups will get an opportunity to deploy their solutions at Goa Shipyard Limited.

AI: Neurons are learning by trial and error. Prof. Jürgen Schmidhuber explains the development of AI up to now.
More Information on digital responsibility:

The U.S. Transhumanist Party’s first expert discussion panel, hosted in conjunction with the Nevada Transhumanist Party, asks panelists to consider emerging developments in artificial intelligence.

Key questions addressed include the following:

(i) What do you think will be realistic, practical applications of artificial intelligence toward improving human lives during the next 5 years?
(ii) Are you genuinely concerned about existential risk stemming from AI, or do you think those concerns are exaggerated / overhyped (or do you have some intermediate position on these issues)?
(iii) On the other hand, do you perceive significant tendencies in contemporary culture to overhype the positive / functional capabilities of AI?
(iv) How can individuals, particularly laypersons, become better at distinguishing between genuine scientific and technological advances in AI and hype / fear-mongering?
(v) What is your techno-optimistic vision for how AI can help improve the future of human (and transhuman) beings?
(vi) What are your thoughts regarding prognostications of an AI-caused technological Singularity? Are they realistic?



Zak Field is an international speaker, consultant, games designer, and entrepreneur based in Norwich, UK. A rising thought leader in Mixed Realities (VR/AR), Zak speaks and consults on Mixed Realities-related topics like gamification, Virtual Reality (VR), Augmented Reality (AR), Robotics, Artificial Intelligences (AIs), and the Internet of Things (IoT).

In 2015, Zak partnered with Futurist Miss Metaverse as co-founder of BodAi, a robotics and AI company developing Bods, lifelike humanoid robot companions made accessible through a unique system that accommodates practical 21st-Century business and lifestyle needs.


David J. Kelley is the CTO for the tech venture capital firm Tracy Hall LLC, focused on companies that contribute to high-density sustainable community technologies, as well as the principal scientist with Artificial General Intelligence Inc. David also volunteers as the Chairman of the Transhuman National Committee board. David’s career has been built on technology trends and bleeding each research primarily around the capitalization of product engineering where those new products can be brought to market and made profitable. David’s work on Artificial Intelligence in particular – the ICOM research project with AGI Inc. – is focused on emotion-based systems that are designed to work around human constraints and help remove the ‘human’ element from the design of AI systems, including military applications for advanced self-aware cognitive systems that do not need human interaction.


Hiroyuki Toyama is a Japanese doctoral student at the Department of Psychology in University of Jyväskylä, Finland. His doctoral study has focused on emotional intelligence (EI) in the context of personality and health psychology. In particular, he has attempted to shed light on the way in which trait EI is related to subjective well-being and physiological health. He has a great interest in the future development of artificial EI on the basis of contemporary theory of EI.


Mark Waser is Chief Technology Officer of the Digital Wisdom Institute and D161T4L W15D0M Inc., organizations devoted to the ethical implementation of advanced technologies for the benefit of all. He has been publishing data science research since 1983 and developing commercial AI software since 1984 including an expert system shell and builder for Citicorp, a neural network to evaluate thallium cardiac images for Air Force pilots and, recently, mobile front-ends for cloud-based AI and data science. He is particularly interested in safe ethical architectures and motivational systems for intelligent machines (including humans). As an AI ethicist, he has presented at numerous conferences and published articles in international journals. His current projects can be found at the Digital Wisdom website -


Demian Zivkovic is CEO+Structure of Ascendance Biomedical, president of the Institute of Exponential Sciences, as well as a scholar of several scientific disciplines. He has been interested in science, particularly neuropsychology, astronomy, and biology from a very young age. His greatest passions are cognitive augmentation and life extension, two endeavors he remains deeply committed to, to this day. He is also very interested in applications of augmented reality and hyperreality, which he believes have incredible potential for improving our lives. He is a strong believer in interdisciplinarity as a paradigm for understanding the world. His studies span artificial intelligence, innovation science, and business, which he has studied at the University of Utrecht. He also has a background in psychology, which he has previously studied at the Saxion University of Applied Sciences.

This video is a sample video, how AI is going to change the world. People needs to understand the importance of AI and next generation jobs are based on AI and Sanskrit Language. You will have the next videos from Sanskrit for AI about how Sanskrit can be used to train robots about the knowledge with 100% accuracy. Sanskrit can provide 100% accuracy "Speech to Text", " Image to Text", "Speech to Text" and "Text to Knowledge representation".

This video explain how Artificial intelligence will help in changing the world to make it better place So.....what's AI

AI:the theory and development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages

Here AI is the main topic. Here Machine learning is the part of AI
MACHINE LEARING :Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves.

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What happens when algorithms take over marketing? Rex Briggs, Founder & CEO of Marketing Evolution, shares that the right product, will reach the right person, at the right time, via their preferred channel. Consequently, consumers benefit by seeing only ads that interest them, and CMO’s see higher returns by reach their target audience in the most profitable way possible.

At Marketing Evolution, we believe the world would be a better place if marketers had the tools to be more connected with their customers and prospects.

It may seem like a paradox, but technology provides marketers with the means to be more human – for brands to be more alive.

Most marketers understand this paradox of technology bringing more relevance and humanity to marketing. Marketing Evolution exists to provide the analytic technology to help marketers succeed.

Rex Briggs Twitter: @RexBriggs
Rex Briggs LinkedIn:

Find out more:
Twitter: @MktgEvolution

Artificial intelligence is disrupting industries like healthcare, business intelligence, and advertising. Big companies are experimenting and acquiring, startups are pioneering new technologies, and VCs are making bold bets that could change the world.

Exponential Social Enterprise Co., Ltd. and Singularity University (SU), the acclaimed collectives of Silicon Valley’s thinkers and innovators focusing on empowering leaders to transform industries and global challenges through exponential technologies, has announced its first summit in Southeast Asia, “SingularityU Thailand Summit 2018” in Bangkok. The summit is to be held at InterContinental Bangkok, on 19 – 20 June 2018.

For more information

Science Documentary: Augmented Reality, Nanotechnology, Artificial Intelligence

Wearable computers have made a lot of news recently. With Google glass, Meta's space glass, etc. But the question is, how can we make them cheaper, smaller and increase battery life. Infinity Augmented Reality has been trying to solve that very problem. They have provided the the engine that translates your physical world into your virtual world.

Normal cameras are unable to sense the size of objects which they are photographing, so Occipital has created the PrimeSense 3D sensor, which is a structure sensor that gives metric distances to the surfaces of objects. So instead of sensing colors, you sense distances.

Uses for the PrimeSense 3D Structure Sensor include, real estate applications, crime scene recontruction, 3D Scanning of people and objects, and augmented reality gaming. The PrimeSense structural sensor displays the differences in distance by displaying different colors. It can also scan a 3D image that can be sent to a 3D printer, or scan an image that can be interacted with in a video game.

Large Scale Production of High Quality Nanomaterials

As the worlds population grows, the amount of people requiring health care is growing as well. Nanotechnology has promised to provide help in this area. There are many nanomaterials available that have very interesting properties, and these nanomaterials are currently being made in the lab. But since these nanomaterials are so small you need lots of them in order for them to be of any use. Nanomaterials are created using either the top down method or the bottom up method. One way is the chemical vapor deposition method, by which nanomaterials can be produced fairly quickly, you need heat, a carbon precursor, and a metal catalyst. But we need to be able to control the production of nanomaterials or they would be useless. Researchers have been successful in controlling nanomaterials like graphene. Various factors influence the formation of nanomaterials. Graphene and copper is a standard method. Filling carbon nanotubes with magnetic material could be useful in the medical field for drug delivery. And by combining conductive materials with insulating materials, you could create efficient electronics, or sensors, etc.

Artificial Intelligence and Robotics

In creating artificial intelligence, scientists have found that what they thought would be simple to create is actually quite hard, and what you would think would be hard to create is actually quite simple, since it is easier to replicate a great chess player than a small child. Combining the collective intelligence of humans and machines, or multiplicity is the idea of many people working together with groups of machines to solve problems.

Science Documentary: Augmented Reality,Virtual Reality,Wearable Computing

Science Documentary: 3D Printing, 3D Imaging, Ultra Fast Laser Imaging Technology

Science Documentary: Genetics, Robotics, Quantum Computing, Artificial Intelligence

Science Documentary: Graphene , a documentary on nanotechnology and nanomaterials

Science Documentary: Nanotechnology,Quantum Computers, Cyborg Anthropology a future tech documentary

Science Documentary:Perfect lenses,smart textiles,biomedical sensors a documentary on nanotechnology

YouAugment provides you an easy yet, powerful way to create Augmented Reality & Artificial Intelligence apps for the Web, iOS, and Android. This tool is easy to learn and it gives you the essentials within the tool, making it to bring your AR / AI apps to life. YouAugment has given you an effortless platform to easily build your own apps. You don’t have to stress about coding skills no matter the industry you’ll need an AR / AI app for. Create easy AR / AI apps for creative, brand marketing, education, industrial, or just for yourself.

Visit our official website today - - and check all of the exciting features of the platform, where one of the best advantage is being free for everyone, including the app source code.

Do you need more information or support? Please contact us and we will respond soon. Make a visit straight to our office, or give us a call at +965 995 83 411! Keep the pace with the trend. Artificial Intelligence & Augmented Reality are a significant part of the future’s technology, implemented in various industries. Take a step ahead and build your own app with

"The purpose that we put into the machine has to be the purpose that we desire, otherwise we're toast."

Computer scientist Stuart Russell discusses the future and possible risks of artificial intelligence, focusing specifically on the problem of filter bubbles on social media.

From John Brockman's Long Now Seminar “Possible Minds”:

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Exclusive interview with Stuart Russell. He discusses the importance of achieving friendly AI - Strong AI that is provably (probably approximately) beneficial.

Points of discussion:
A clash of intuitions about the beneficiality of Strong Artificial Intelligence
- A clash of intuitions: Alan Turing raised the concern that if we were to build an AI smarter than we are, we might not be happy about the results. While there is a general notion amoungst AI developers etc that building smarter than human AI would be good.
- But it's not clear why the objectives of Superintelligent AI will be inimicable to our values - so we need to solve what some poeple call the value alignment problem.
- we as humans learn values in conjunction with learning about the world

The Value Alignment problem

Basic AI Drives: Any objective generates sub-goals

- Designing an AI not want to disable it's off switch
- 2 principles
- 1) its only objective is to maximise your reward function (this is not an objective programmed into the machine but is a kind of (non-observed) latent variable
- 2) the machine has to be explicitly uncertain about what that objective is
- if the robot thinks it knows what your objective functions are, then it won't believe that it will make you unhappy and therefore has an incentive to disable the off switch
- the robot will only want to be switched off if thinks it will makes you unhappy

- How will the machines do what humans want if they can't see their objective functions?
- one answer is to allow the machines to observe human behaviour, and interpret that behaviour as providing evidence of an underlying preference structure - inverse reinforcement learning

Aggregated Volition: How does an AI optimise for many peoples values?
- Has the benefit of symmetry
- difficulties in commensurbaility of different human preferences
- Problem: If someone feels more strongly about a value X should they get more of a share of value X?

How to deal with people who's preferences include the suffering of others?

Should a robot be more obligated to its owner than to the rest of the world?
- should this have something to do with how much you pay for the robot?

Moral philosophy will be a key industry sector

Issues of near term Narrow AI vs future Strong AI
- Very easy to confuse the near term killer robot question with the existential risk question

Differences in the issues with the risk of the misuse of Narrow AI and the risk of Strong AI
- Weaponised Narrow AI

Should we replace the gainful employment of humans with AI?

A future where humans lose a sense of meaning & dignity

Hostility to the idea of Superintelligence and AI Friendline
- there seems to be something else going on for AI experts to make rational arguments as simple minded as 'If the AI goes bad, just turn the AI off'
- beating alphago is no problem - we just need to play better moves
- it's theoretically possibe that AI could pose existential risk - but it's also possible that a black hole could appear in near earth orbit - we don't spend any time worrying about that so why should we spend time worrying about the existential risk of AI?

Defensive psychological reactions to feeling one's research is under attack
- People proposing AI safety are not anti AI any more than people wanting to contain a nuclear reaction are anti physics

Provably beneficial AI
- where the AI systems responsibility is to figure out what you want
- though the data to train the AI may be sometimes unrepresentative - leading to a small prossibility of deviation from true beneficiality - probably approximately beneficial AI

Convincing the AI community that AI friendliness is important

Will there be a hard takeoff to superintelligence?

What are the benefits of building String AI?


Center for Human-Compatible AI - UC Berkley

Stuart Jonathan Russell is a computer scientist known for his contributions to artificial intelligence. He is a Professor of Computer Science at the University of California, Berkeley and Adjunct Professor of Neurological Surgery at the University of California, San Francisco.

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When it comes to decision making, it might seem that computers are less biased than humans. But algorithms can be just as biased as the people who create them.

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Today Hank explores artificial intelligence, including weak AI and strong AI, and the various ways that thinkers have tried to define strong AI including the Turing Test, and John Searle’s response to the Turing Test, the Chinese Room. Hank also tries to figure out one of the more personally daunting questions yet: is his brother John a robot?

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