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Memnon

Dreaming in New Users Please Post Here

Hi...am hailing from Germany, unemployed, Hartz4, living in a garden hut, mostly, dilettante, hasardeur, bored. Soo...I am thinking, all things considered, People have no clue what AI entails, because they don't even fathom the shallow end of their minds, let alone the other. Mostly. Some people have ideas (let's say "Ahnung"). That's because to our mind, emergence, the unfolding of patterns, can only be perceived indirectly, via intuition, thus it is a "fuzzy" image. This also refers to Heisenbergs 2nd law. However, due to fear and thus because of our very narrow definition of our status-quo-science with regards to psychology, our psychology, we are regressing, attention span dwindling and captured, into fast oblivion - or into the folds of an encompassing order like that of the Mother : That's potentially pretty uncool from my point of view. So there...
:')  

4 Comments | Started September 21, 2017, 11:04:16 am
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ivan.moony

AI safety in General AI Discussion

As for safety measure, I'm a fan of a kind of Asimov's laws.

My personal plan for a distant future is to develop an intelligence based on copying intelligent behavior. For example, if the AI sees someone answering the question "3 * 2?" by an answer "2 + 2 + 2", the AI should be capable of answering the same question in the future. But what about other questions that AI have never heard of? Well, to answer them, AI should have heard at least other versions of them. For example, we could generalize previous question-answer to "a * x = [x + ...]a times". Now we can get a whole range of answers and it is only about "term unification" (I think this is how they call it in logic and type theory) to produce the correct answers. Unification rule could extend to any function, as functions link inputs to outputs, and when you unify the input, you get relevant output. Now, the AI would learn different  inputs and outputs and it would be up to the AI to find out functions that generalize different input-output pairs by logic induction.

How Asimov's laws fit into this? Each law could be seen as a boolean function that take an action as an input and produces "true" if the action is safe, or "false" if not. The laws would be used as filter and they would pass through only certain outputs that yield safety "true". In the AI's infancy stage, Asimov's laws couldn't do much, as there are many situations the AI still has to learn about them, just to connect Asimov's laws written in prose. In early stages, there would be a lot of misinterpretations of actions, meaning that the AI would do something that shouldn't pass the Asimov's filter. As the future development goes on, the AI gets safer and safer, as it learns how to link outputs to the laws to check out output safety. It is obvious that infant AI would often accidentally brake the laws, but would be inexperienced and incapable of making too much damage. An adult AI would be the AI that reached required degree of safety, linking enough situations to the laws filter. Maybe, just in case, the infant AI should be linked only to textual output, while the adult AI would be safe enough to give it also an opportunity to change the world around it.

This idea is still in development and maybe there are some ways to make it better. But is it safe enough?

36 Comments | Started September 16, 2017, 05:14:41 pm
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Kaeldric

Hello in New Users Please Post Here

Hi! My name is Stefano (for the record, emphasis on the first syllable  :P).
I always loved math, physics and computer science and I am a software developer. I used to work in a little software house but I recently quit my job to start a new personal project.
I felt in love for AI some years ago, but only recently I started study it more seriously. During the last year I developed some base algorithms in C++ for fun too.
I registered to this form mainly for three reasons:
1 - learn more about AI
2 - meet people with my same passion
3 - improve my (as you already noticed) broken English  :-[

Bye :)

2 Comments | Started September 21, 2017, 10:28:49 pm
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Freddy

Grats to SquareBear in General Chatbots and Software

Loebner Prize 2017 winner - three time times now yes ?

Well done Steve :)

Dr Wallace made a post over on Chatbots.org : https://www.chatbots.org/ai_zone/viewthread/3129/

4 Comments | Started September 19, 2017, 12:58:18 pm
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keghn

Map of Computer Science in General AI Discussion


Map of Computer Science:  

6 Comments | Started September 08, 2017, 09:30:21 pm
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Tyler

The Engine announces investments in first group of startups in Robotics News

The Engine announces investments in first group of startups
19 September 2017, 5:05 am

The Engine, founded last year by MIT, today announced investments in its first group of seven startups that are developing innovations poised for transformative impact on aerospace, renewable energy, synthetic biology, medicine, and other sectors.

The founding startups will be featured today at an event to celebrate the official opening of The Engine’s headquarters at 501 Massachusetts Ave. in Cambridge, Massachusetts, now renovated to include three floors of conference rooms, makerspaces, labs with cutting-edge equipment, computer stations, and other amenities.

The seven startups are:

  • Analytical Space, developing systems that provide no-delay, high-speed data from space, to address global challenges such as precision agriculture, climate monitoring, and city planning;
  • Baseload Renewables, developing ultra low-cost energy storage to replace fossil baseload generation with renewable energy to successfully reduce carbon on a global level;
  • C2Sense, building a digital olfactory sensor for industrial use cases such as food, agriculture, and worker safety, and transforming smell into real-time data that can be accessed remotely;
  • iSee, delivering the next generation of humanistic artificial intelligence technology for human and robotic collaborations, including autonomous vehicles;
  • Kytopen, accelerating the development of genetically engineered cells by developing technology that modifies microorganisms 10,000 times faster than current state-of-the-art methods;
  • Suono Bio, enabling ultrasonic targeted delivery of therapeutics and macromolecules across tissues without the need for reformulation or encapsulation; and
  • Via Separations, developing a materials technology for industrial separation processes that uses 10 times less energy than traditional methods.
Announced last October, The Engine combines funding and an open network of technical facilities to provide stable financial support and access to costly resources. It focuses on startups developing “tough” technologies — breakthrough ideas that require time to commercialize — in a range of sectors including robotics, manufacturing and materials, health, biotechnology, and energy.

“As we look at the first seven companies we have invested in, it is wonderful to see the breadth of tough-tech areas founders have leaned into,” says Katie Rae, president and CEO of The Engine. “We have been so gratified by the quality and passion of the founders that have come to us. These entrepreneurs are on a mission, and with our help they are going to change the world for the better.”

In January, MIT announced the creation of The Engine Working Groups, charged with guiding the development of Institute policies and procedures related to The Engine, and an Idea Bank for MIT community members and alumni to provide input. In February, the program secured funding and established its leadership, and in April it closed its first investment fund with more than $150 million to support the startups. Since then, additional funds have been raised, for an updated total of $200 million.

“We announced The Engine nearly a year ago with the vision of supporting innovative ventures working to address society's most important challenges,” MIT President L. Rafael Reif says. “I am thrilled that the first cohort of startups has the potential to do exactly that. I have watched The Engine's evolution with great enthusiasm and admiration, and I look forward to this exciting next step in making The Engine's bold vision a reality.”

A running start

The startups have already begun benefiting from The Engine.

Shreya Dave PhD ’16 and Brent Keller PhD ’16, co-founders of Via Separations, have drawn on the tight-knit community growing inside The Engine, where advice and feedback are just around the corner. Joined by MIT professor of materials science and engineering Jeffrey Grossman and industry expert Karen Golmer, the team has been at The Engine since July. “Instead of sending out a million emails and asking for advice, we can literally walk next door and ask advice on company or customer problems,” Dave says.

Membranes today are predominantly polymers that filter out particles from liquids; examples include removing salt during water desalination or sifting out ingredients for pharmaceuticals or foods. These membranes are low-cost and efficient, but cannot withstand high temperatures, intense cleaning, and harsh environments, so some industries turn to power-hungry thermal-separation processes. Via Separations’ graphene oxide membranes, however, are more resilient than polymers and can operate in the streams polymers cannot. According to the startup, its membrane can replace thermal separation in many industries, cutting energy use by 90 percent. The startup now has a working prototype and is in talks with potential customers.

The Engine’s patient capital has been a major help for the startup, which emerged from a project in the J-WAFS Solutions program, a commercialization grant of the Abdul Latif Jameel World Water and Food Security Lab administered in partnership with the MIT Deshpande Center for Technological Innovation. “Our development timeline will take a few years, with key milestones in design scale up, manufacturing, and customer agreements. But when we do it, it is going to have huge impact. With the Engine’s community and support, we have the resources to support a stellar team,” Dave says.  

Also appreciative of The Engine’s patient capital is MIT professor of mechanical engineering Cullen Buie, another first-time entrepreneur who co-founded the two-month-old Kytopen. “The Engine is betting on us. I don’t know how many venture capitalists would bet on where we are today,” Buie says. “We could have stayed in the lab a little longer, but it wouldn’t get going nearly as fast. The Engine is helping us throw some gas on the idea and accelerate what we’re doing.”

Kytopen is developing a platform to enable extremely high-throughput cell engineering. To genetically engineer organisms, scientists expose cells to an electric field, which opens pores within the cell membrane, allowing customized DNA to flow into the cell. But scientists must zap the cells one batch at a time to find the right electric field that can open the cells but not kill them, which can be a months-long process.

Buie and his Kytopen co-founder, MIT research scientist Paulo Garcia, developed a microfluidics device that shocks cells continuously. Then they integrated the device’s components into a pipette tip, meaning scores of cells can be zapped as the flow through. In one pipette channel, the startup can process the equivalent of 80 tests per minute. Systems already exist that process 96 and 384 pipette samples in parallel, which makes the process potentially 10,000 times faster than traditional methods. “We take the guts of microfluidics and put it in a pipette tip which … makes it amenable to automation and scaling,” Buie says.

Power of proximity

The Engine’s central location is also beneficial for startups such as Baseload Renewables, whose founders and employees are transitioning into the startup life from MIT and other jobs. “We’re four co-founders of this company, and two of us live within walking distance of The Engine,” says MIT professor of materials science and engineering Yet-Ming Chiang. “It makes it easy for us to meet, get early research started, and have a smooth transition from lab to commercial product.”

Baseload Renewable’s battery system is based on cheap, readily available, and energy-dense sulfur dissolved in water as the anode, with an equally low-cost cathode.

Because the components are low-cost and allow for great energy-density, the system can store electricity from renewable sources for long durations — multiple days to months — for about a fifth to a tenth the cost of traditional battery storage for the grid. Today’s traditional lithium-ion batteries cost more than $300 per kilowatt hour and may only drop to about $150 per kilowatt hour, Chiang says.

The aim is to use the system for baseload power — the minimum demand on an electrical grid over a span of time — which currently relies on systems that produce a lot of carbon emissions. “Anyone in the energy industry will recognize that turning renewable energy into baseload electricity available all day, every day, is an extremely ambitious goal,” Chiang says. “But The Engine is allowing us to get a running start at it.”

Fresher food, safer cars, better health

The other founding startups’ goals are similarly ambitious.

Analytical Space, founded by Harvard Business School graduates, aims to make downloading satellite data much faster. Every few hours, terabytes of data are collected by orbiting satellites, but downloading that data is becoming very costly and complex. The startup is building small satellite relays that use laser communication to enable continuous high-speed wireless connectivity between space and ground. The startup is now preparing to launch its first pilot on a SpaceX craft from the International Space Station later this year.

C2Sense, which emerged from work supported by the Deshpande Center, aims to bring gas sensing to the so-called internet of things by creating a “digital olfactory” platform for industrial use. The startup has developed low-cost sensors that detect and measure a range of chemical substances in food that indicate rot as well as toxic gases, to help ensure worker safety and environmental protection. In one of its first use cases, the startup’s sensing technologies could “smell” when apples were ripening by detecting tiny amounts of ethylene, a gas that promotes ripening in plants.

iSee AI is developing predictive artificial intelligence (AI) that can act as a type of “cognitive brain” for autonomous vehicles. Learning algorithms developed by the startup analyze scenarios and infer the intentions of various agents on the road — such as drivers, cyclists, and pedestrians — to anticipate their movement and determine how to react appropriately in real time. According to the startup, the algorithms can predict driving scenarios three seconds ahead of time and react with high accuracy.

Suono Bio’s drug delivery platform uses ultrasound waves to rapidly deliver drugs, proteins, vaccines, and other molecules directly into the gastrointestinal tract to treat inflammatory bowel disease and other disorders that are difficult to treat. When a fluid is exposed to ultrasound waves, tiny bubbles form that then implode to create microjets that penetrate and push the drugs into tissue. The drugs absorb about 22 times faster than the traditional treatment method using enemas, where drugs must be kept in the colon for eight to 12 hours.

Source: MIT News - CSAIL - Robotics - Computer Science and Artificial Intelligence Laboratory (CSAIL) - Robots - Artificial intelligence

Reprinted with permission of MIT News : MIT News homepage

Started September 21, 2017, 12:01:33 pm
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Tyler

XKCD Comic : USB Cables in XKCD Comic

USB Cables
20 September 2017, 5:00 am

Tag yourself, I'm

Source: xkcd.com

Started September 21, 2017, 12:01:33 pm
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yotamarker

outline from gadient mask in General AI Discussion

I'm looking for an alg to know if a pixel is an outline pixel based on the pixels around it.

171 Comments | Started March 31, 2017, 04:15:38 am
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Memnon

the emergence of AI in Future of AI

Which word in the title has the highest information density at this point ? Emergence. That's exactly how things happen, patterns unfold, and will happen with regards to Artificial Intelligence. Best it happens in concert with HI expanding consciousness to become less egotisitcal and narrow-minded. However to get there it requires a proper psychology. Aaaand unfortunately, depending on your perspective, is the field of psychology, scientific psychology, completely on the wrong track, i.e. it is working towards AI finding patterns in the mind-body duality, but from a skewed perspective, a perspective of fear, where the dark side of the mind, the unconscious reigns supreme. To be clear: This happens b/c of fear. All idiocy arises from fear. (Ask a common science-psych-prof for a good answer as to why the suicide rate of men is so much higher than that of the female of this species.)   i.e. contributing to the furthest specialization away from consciousness and into the oblivion of a will gone.   8)

Started September 21, 2017, 10:37:19 am
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pdmTry

I want to learn AI with database using JAVA in AI Programming

Good day, can you teach me how to start with AI using JAVA? I already watched some tutorials at youtube but they didnt have database on it, all codes are hard coded by the programmer, moreover I would like to do it in database type of AI. You can email me, thank you!!  :idiot2:  :D  :idiot2:

11 Comments | Started May 03, 2017, 04:52:34 am
The Conversational Interface: Talking to Smart Devices

The Conversational Interface: Talking to Smart Devices in Books

This book provides a comprehensive introduction to the conversational interface, which is becoming the main mode of interaction with virtual personal assistants, smart devices, various types of wearables, and social robots. The book consists of four parts: Part I presents the background to conversational interfaces, examining past and present work on spoken language interaction with computers; Part II covers the various technologies that are required to build a conversational interface along with practical chapters and exercises using open source tools; Part III looks at interactions with smart devices, wearables, and robots, and then goes on to discusses the role of emotion and personality in the conversational interface; Part IV examines methods for evaluating conversational interfaces and discusses future directions. 

Aug 17, 2017, 02:51:19 am
Explained: Neural networks

Explained: Neural networks in Articles

In the past 10 years, the best-performing artificial-intelligence systems — such as the speech recognizers on smartphones or Google’s latest automatic translator — have resulted from a technique called “deep learning.”

Deep learning is in fact a new name for an approach to artificial intelligence called neural networks, which have been going in and out of fashion for more than 70 years.

Jul 26, 2017, 23:42:33 pm
It's Alive

It's Alive in Chatbots - English

[Messenger] Enjoy making your bot with our user-friendly interface. No coding skills necessary. Publish your bot in a click.

Once LIVE on your Facebook Page, it is integrated within the “Messages” of your page. This means your bot is allowed (or not) to interact and answer people that contact you through the private “Messages” feature of your Facebook Page, or directly through the Messenger App. You can view all the conversations directly in your Facebook account. This also needs that no one needs to download an app and messages are directly sent as notifications to your users.

Jul 11, 2017, 17:18:27 pm
Star Wars: The Last Jedi

Star Wars: The Last Jedi in Robots in Movies

Star Wars: The Last Jedi (also known as Star Wars: Episode VIII – The Last Jedi) is an upcoming American epic space opera film written and directed by Rian Johnson. It is the second film in the Star Wars sequel trilogy, following Star Wars: The Force Awakens (2015).

Having taken her first steps into a larger world, Rey continues her epic journey with Finn, Poe and Luke Skywalker in the next chapter of the saga.

Release date : December 2017

Jul 10, 2017, 10:39:45 am
Alien: Covenant

Alien: Covenant in Robots in Movies

In 2104 the colonization ship Covenant is bound for a remote planet, Origae-6, with two thousand colonists and a thousand human embryos onboard. The ship is monitored by Walter, a newer synthetic physically resembling the earlier David model, albeit with some modifications. A stellar neutrino burst damages the ship, killing some of the colonists. Walter orders the ship's computer to wake the crew from stasis, but the ship's captain, Jake Branson, dies when his stasis pod malfunctions. While repairing the ship, the crew picks up a radio transmission from a nearby unknown planet, dubbed by Ricks as "planet number 4". Against the objections of Daniels, Branson's widow, now-Captain Oram decides to investigate.

Jul 08, 2017, 05:52:25 am
Black Eyed Peas - Imma Be Rocking That Body

Black Eyed Peas - Imma Be Rocking That Body in Video

For the robots of course...

Jul 05, 2017, 22:02:31 pm
Winnie

Winnie in Assistants

[Messenger] The Chatbot That Helps You Launch Your Website.

Jul 04, 2017, 23:56:00 pm
Conversation, Deception and Intelligence

Conversation, Deception and Intelligence in Articles

A blog dedicated to science, technology, and my interests in music, art, film and especially to Alan Turing for his Imitation Game: a measure for machine intelligence through text-based dialogue.

Jul 04, 2017, 22:29:29 pm
Transformers: The Last Knight

Transformers: The Last Knight in Robots in Movies

Transformers: The Last Knight is a 2017 American science fiction action film based on the toy line of the same name created by Hasbro. It is the fifth installment of the live-action Transformers film series and a direct sequel to 2014's Transformers: Age of Extinction. Directed by Michael Bay, the film features Mark Wahlberg returning from Age of Extinction, along with Josh Duhamel and John Turturro reprising their roles from the first three films, with Anthony Hopkins joining the cast.

Humans and Transformers are at war, Optimus Prime is gone. The key to saving our future lies buried in the secrets of the past, in the hidden history of Transformers on Earth.

Jun 26, 2017, 03:20:32 am