Kohti Skynettiä - Tekoäly sodankäynnissä

ctg

Ylipäällikkö
A panel of AI experts were grilled on the impact and importance of artificial general intelligence by the US House of Representatives on Tuesday.

The hearing was ominously named “Artificial Intelligence – With Great Power Comes Great Responsibility.” Narrow AI for specific tasks has been rapidly advancing and the committee wanted to know how far off artificial general intelligence (AGI), where a system can learn multiple actions and do them better than humans, would be.
http://www.theregister.co.uk/2018/06/26/congres_ai_hearing/

They were also quizzed on potential ‘doomsday’ scenarios. Brockman compared thinking about AGI to the thinking about the internet in the late fifties.

“If someone was to describe to you what the internet was going to be, how it’d affect the world, and the fact that all these weird things were going to start happening...You’d be very confused. It’d be very hard to understand what these things will look like...

“Now imagine that that whole story - which played out over the course of the past 60, almost 70 years now - was going to play out over a much more compressed time scale. And so that’s the perspective that I have towards AGI."

"It’s the fact that it can cause this rapid change and it's already hard for us to cope with what technology brings. So is it going to be malicious actors, or if the technology wasn’t built in a safe way, or the deployment and values it’s given is something we’re not happy with. All of those I think are real risks, and those are things we want to start thinking about today," he concluded.

Persons agreed, and placed an big emphasis on needing to evaluate the risks “I think the key thing is being clear-eyed about what the risks actually are, and not necessarily being driven by the entertaining yet science fiction-type narratives on these things - or projecting or going to extremes, assuming far more than where we actually are in the technology.”
 
AIQ-projektit.

Yhdysvaltain puolustusministeriö on perustanut yhteyteensä erillisen tekoälykeskuksen. Joint Artificial Intelligence Center (JAIC) tulee valvomaan lähes kaikkia puolustushallinnon tekoälyä sivuavia projekteja.

Breaking Defense -julkaisun mukaan hyötyjä haetaan ainakin ensimmäisessä vaiheessa nimenomaan tehokkaamman koordinaation kautta. Erityisesti Kiinan valtavat investoinnit ovat herättäneet huolta siitä, että Yhdysvallat saattaa jäädä suurvaltojen välisessä kilpailussa jälkeen.

– Kiina muodostaa tällä hetkellä suurimman haasteen Yhdysvalloille. He suhtautuvat tekoälyyn kuin me Kuu-projektiin 1960-luvulla, CNA-tutkimuslaitoksen analyytikko Larry Lewis toteaa.

Myös Venäjä on lisännyt alan resursseja. Maan kerrotaan rakentavan Mustanmeren rannalle ”tutkimuskaupunkia”, jonka tarkoituksena on keskittyä tekoälyä koskevaan kehitystyöhön. Paikalle on tarkoitus sijoittaa ainakin 2000 insinööriä ja tutkijaa vuoteen 2020 mennessä.

Myös Suomen puolustusvoimien apulaisosastopäällikkö, eversti Harri Sunin mukaan JAIC:n perustamisella tulee olemaan vaikutusta suurvaltojen tekoälykilpailuun.

– Merkittävä päätös, Suni kirjoittaa Twitterissä.
https://www.verkkouutiset.fi/merkittava-paatos-usan-armeijalle-tekoalykeskus/
 

jokuvaan

Ylipäällikkö
https://saab.com/gripen/our-fighters/gripen-fighter-system/gripen-e-series/gripen-e/

"When at the peak of a complex mission, the human brain can only handle a certain number of inputs at once. Gripen E/F achieves the optimal balance between the pilot's and the fighter's decision space, letting fighter intelligence take on a larger role. Gripen E/F’s fighter intelligence has the capability to work autonomously on several areas simultaneously, and provides the pilot with suggestions. Suggestions ranging from anything between weapon selection and full manoeuvring of the fighter. It shares and displays the right tactical information, at the right moment giving an optimised battlespace overview "
 

ctg

Ylipäällikkö

This Spring 2018 term course is a cross-disciplinary investigation of the implications of emerging technologies, with an emphasis on the development and deployment of Artificial Intelligence. The course covers a variety of issues, including the complex interaction between governance organizations and sovereign states, the proliferation of algorithmic decision making, autonomous systems, machine learning and explanation, the search for balance between regulation and innovation, and the effects of AI on the dissemination of information, along with questions related to individual rights, discrimination, and architectures of control.
https://www.media.mit.edu/courses/the-ethics-and-governance-of-artificial-intelligence/
 

ctg

Ylipäällikkö
The Pentagon’s research chief is deep in discussions about the newly announced Joint Artificial Intelligence Center, or JAIC, a subject of intense speculation and intrigue since Defense Undersecretary for Research and Engineering Michael Griffin announced it last week. Griffin has been sparse in his public comments on what the center will do. But its main mission will be to listen to service requests, gather the necessary talent, and deliver AI-infused solutions, according to two observers with direct knowledge of the discussions. Little else about the center has been decided, they say. https://www.defenseone.com/technology/2018/04/pentagon-building-ai-product-factory/147594/
 

Leaderwolf

Kenraali
Lahjoittaja
Jaaha, oli kiva jutella teidän kaikkien kanssa.

US Air Force to Use New Neuromorphic Supercomputer for AI Research

In a joint effort with IBM, the Air Force Research Lab (AFRL) unveiled the world’s largest neuromorphic supercomputer, Blue Raven, with the processing power of 64 million neurons. By 2019, AFRL expects to demonstrate an airborne target-recognition application developed using Blue Raven.

The processors, which were developed by IBM with the Defense Advanced Research Project Agency (DARPA), are divided across four individual printed circuit boards with 16 processors each. The boards are configured into a typical server chassis setup and feature high bandwidth data links.





Jeremy O'Brien, senior computer scientist for the AFRL information directorate, told Avionics he refers to Blue Raven as a supercomputer "because of its ability to simultaneously emulate detailed models of 64 million biological neurons and 16 billion biological synapses, and, most importantly, its ability to produce more meaningful outputs from sensory data inputs."

Neuromorphic processors are based on the neuromorphic computing concept first introduced by Carver Mead, a professor of engineering and applied science at the California Institute of Technology. In 1986, Mead was one of two co-founders of Synaptics Inc., a company established to develop analog circuits based in neural networking theories for speech and vision recognition technologies. In 1990, he published his first work on neuromorphic electronic systems in Proceedings of the Institute of Electrical and Electronics Engineers (IEEE).

Engineers and computer scientists at AFRL will use Blue Raven to execute artificial intelligence and machine-learning algorithms. Blue Raven also provides a platform for research and development, testing and evaluation for applications in computational neuroscience for the U.S. Department of Defense and other U.S. government agencies. The Air Force specifically wants to use its computing power to produce advancements in its combat capabilities and is evaluating its computing architecture for integration into onboard aircraft sensors.

Air Force Lt. William Murphy spent six months with IBM’s research team to serve as a liaison between the systems' end-to-end IBM TrueNorth ecosystem.

A key difference between BlueRaven and existing supercomputers is what the design team achieved in size weight and power. Blue Raven’s processing power only consumes 40 watts of power, which is the equivalent of a household light bulb, according to AFRL. It also consumes up to 100 times less energy when executing AI and machine-learning algorithms, said O’Brien.

Blue Raven continues a growing trend among commercial and military aviation technology researchers focusing on future deployment of artificial intelligence and machine-learning applications for airplanes. Aitech Defense Systems, a major supplier of embedded computing to aerospace and defense OEMs, has its own general-purpose graphics processing unit (GPGPU)-based A176 Cyclone supercomputer that uses NVIDIA’s Jetson TX2’s machine-learning capability to capture images in real time for unmanned aircraft systems. In the future, Aitech believes wide-angle and narrow-angle cameras can be equipped with artificial intelligence to detect moving objects.

Elsewhere, Boeing announced a collaboration with artificial intelligence technology provider SparkCognition to deploy future AI-based unmanned traffic management (UTM) applications. The two companies want to use artificial intelligence and blockchain technologies to track unmanned aerial vehicles in flight and allocate traffic corridors for autonomous vehicles.

Future airborne military applications for AI and machine learning can be enabled by the processing power of Blue Raven.

“Without new, incredibly advanced computing architectures like Blue Raven, real-time employment of AI, machine learning and autonomy capabilities in constrained and contested environments would be extremely challenging,” said O’Brien.

https://www.aviationtoday.com/2018/08/03/air-force-use-new-neuromorphic-supercomputer-ai-research/
 

ctg

Ylipäällikkö

In a nutshell, DeepLocker is a highly evasive piece of kit (It could lay dormant in an application and never surface for be detected unless its target presents itself in from of a webcam.) that provides an attacker with the ability to precisely attack specific targets via facial and voice recognition, geolocation, and pretty much any defined triggers that can be learned by an AI. What does this mean? It means that cyber attacks can be extremely prolific, undetectable, and extremely surgical.

"To demonstrate the implications of DeepLocker's capabilities, we designed a proof of concept in which we camouflage a well-known ransomware (WannaCry) in a benign video conferencing application so that it remains undetected by malware analysis tools, including antivirus engines and malware sandboxes. As a triggering condition, we trained the AI model to recognize the face of a specific person to unlock the ransomware and execute on the system. Imagine that this video conferencing application is distributed and downloaded by millions of people, which is a plausible scenario nowadays on many public platforms. When launched, the app would surreptitiously feed camera snapshots into the embedded AI model, but otherwise behave normally for all users except the intended target. When the victim sits in front of the computer and uses the application, the camera would feed their face to the app, and the malicious payload will be secretly executed, thanks to the victim's face, which was the preprogrammed key to unlock it.

It's important to understand that DeepLocker describes an entirely new class of malware - "any number of AI models could be plugged in to find the intended victim, and different types of malware could be used as the "payload" that is hidden within the application."

The above was accomplished live, just 20 feet from me. IBM had its target simply walk by the infected laptop and the malware payload was immediately triggered.

Keep in mind that this research is conducted by IBM and is not (that we know of) in the wild. However, IBM estimates that AI driven threats will be making their debut in the public arena very soon.
https://securityintelligence.com/deeplocker-how-ai-can-power-a-stealthy-new-breed-of-malware/
 
Tavoitteena kouluttaa prosentti kansasta tekoälyn perusteisiin.

Helsingin yliopiston ja Reaktorin kaikille avoin Elements of AI -verkkokurssi julkistettiin toukokuussa, ja tällä hetkellä kurssia käy noin 90 000 tekoälyn perusteista kiinnostunutta osallistujaa ympäri maailman. Kurssin on hyväksytysti läpäissyt jo noin 7500 ihmistä, ja ensimmäisiä kurssilta valmistuneita juhlitaan Helsingin yliopistossa 6. syyskuuta. Kurssin suomenkielinen versio julkaistaan syksyn aikana ja jatkokurssi keväällä 2019.
Reaktorin ja Helsingin yliopiston suunnittelema ja rakentama Elements of AI -verkkokurssi tarjoaa kaikille mahdollisuuden opiskella tekoälyn perusteet ilmaiseksi. Kurssi pureutuu tekoälyn perusteisiin käytännöllisten esimerkkien kautta ja tarjoaa opiskelijoille, työelämässä oleville ja tekoälystä muuten kiinnostuneille helpon ja kannustavan väylän tekoälyn pariin. Kahden opintopisteen arvoisen verkkokurssin suorittaminen ei vaadi aiempia tekoäly- tai ohjelmointitaitoja, ja se soveltuu kaikille. Koulutusohjelman suorittaminen on mahdollista osoitteessa www.elementsofai.com. Tällä hetkellä verkkokurssia käy noin 90 000 ihmistä yli 80 maasta.
https://www.sttinfo.fi/tiedote/ilmainen-ai-verkkokurssi-kouluttanut-jo-tuhansia-tekoalyn-perusteisiin-suomenkielinen-versio-ja-jatkokurssi-tulossa?publisherId=3747&releaseId=69638395
 

veffeade

Eversti
Lahjoittaja
ELSO 2.0
Niin siis täysin autonomisista "robottijärjestelmistä": Tarvitsevat AINA sähköä ja eletroniikkaa toimiakseen. Vaikka sisuksissa olisi taistelucompuutteri täysin autonimisessa moodissa ja oikein ohjelmoituna, niin eikös EMP-pulssi jantterin vieressa hiljenna toosan: Ei muuten, mutta tuli mieleen vast ikää katsotusta Matrix leffasta (vaihteekx) , jossa lopullinen voitto saatuvutettiin laukaisemalla se maanolioiden viimeinen EMP-ohjus oikeassa paikassa oikeaan aikaan.

Ymmärtääkseni ei välttämättä edes vaikea toteuttaa (toki olen tod. näk. väärässä) ja DYI videot eivät ehkä paras referenssi.

Esim. tässä näissä on kuvailtu mitä pitäisi tehdä sammuttaaksen jonkin "eletronisen härvelin". Erikseen totean, jotta tällä ei varmaan kannata tehdä naapurin Bemaria käyntikyvyttömäksi,
oletan toki että sopisi myös siihen.

https://www.electronicproducts.com/...ini_EMP_generator_to_disrupt_electronics.aspx
https://www.wikihow.com/Build-an-EMP-Generator

Sikäli kun mitään eletroniikasta ymmärrän ja osaan, nuilla "suuntaviivoilla" voisin tarjota naapurin Bemarikuskille kyydin maanantaina töihin :) !
 
Tykkäykset: ctg
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