Artificial intelligence is rapidly changing many aspects of how we work and live. (How many stories did you read last week about self-driving cars and job-stealing robots? Perhaps your holiday shopping involved some AI algorithms, as well.) But despite the constant flow of news, many misconceptions about AI remain.
AI doesn’t think in our sense of the word at all, Scriffignano explains. “In many ways, it’s not really intelligence. It’s regressive.”
IT leaders should make deliberate choices about what AI can and can’t do on its own. “You have to pay attention to giving AI autonomy intentionally and not by accident,”
7,002 Comments
Tomi Engdahl says:
Robotti oppi lajittelemaan jätteet, mutta ihastui ensiksi kenkiin
http://yle.fi/uutiset/robotti_oppi_lajittelemaan_jatteet_mutta_ihastui_ensiksi_kenkiin/9013193
Suomalaisen ZenRoboticsin jätteenkäsittelyrobotteja on myyty jo neljälle mantereelle. Tekoälyn ansiosta asiakas voi opettaa robotin lajittelemaan jätteet halutulla tavalla. Toimivan laitteen kehittäminen kesti lähes kymmenen vuotta. Matkan varrella robottimalli piti vaihtaa ja opettaa tekoälylle, mikä on kenkä. Yle tutustui tekoälyn käyttöön robotiikassa, puheentunnistuksessa ja haittaohjelmien metsästyksessä.
Tomi Engdahl says:
THIS AI CAN SPOT AN ART FORGERY
With millions at stake, deep learning enters the art world
https://spectrum.ieee.org/this-ai-can-spot-an-art-forgery
Tomi Engdahl says:
https://etn.fi/index.php/13-news/12490-tesla-kehitti-jattimaisen-piiri-tekoalymallien-kouluttamiseen
Tomi Engdahl says:
AI Generating Paintings Off To A Flying Art
https://hackaday.com/2021/08/27/ai-generating-paintings-off-to-a-flying-art/
The philosophical question of “What is art?” has an ethereal, transient quality to it. A definition seems to slip away as you get close to an answer. Embracing that quality, [Max Fischer] has created an AI-powered painting that paints a new piece of art at the push of a button. When the button below the screen is pushed, a new image is generated and the old one is forever lost, which in a way, makes the frame a piece of art itself.
The really makes this project stand is the sheer quality of documentation on the GitHub repo.
https://github.com/maxvfischer/DIY-ai-art
Tomi Engdahl says:
I asked an AI for video ideas, and they were actually good
https://www.youtube.com/watch?v=TfVYxnhuEdU
Tomi Engdahl says:
Rule Britannia: Can the UK Set Global AI Standards? London tries to create an Artificial Intelligence Strategy
https://spectrum.ieee.org/rule-britannia-can-the-uk-set-global-ai-standards
Tomi Engdahl says:
DGIST’s Novel Neural Network Can Pick Building Boundaries Out of Even Low-Quality Aerial Imagery
Capable of picking a building out of low-resolution or low-quality satellite and aerial imagery, this neural network speeds mapping.
https://www.hackster.io/news/dgist-s-novel-neural-network-can-pick-building-boundaries-out-of-even-low-quality-aerial-imagery-2e6817a3d5bb
Tomi Engdahl says:
Tekoäly tuotti reikäistä koodia
https://etn.fi/index.php/13-news/12510-tekoaly-tuotti-reikaista-koodia
Copilot on tekoälyavusteinen koodieditori, joka osaa ehdottaa ja täydentää koodarin työtä. New Yorkin yliopiston tutkijat kuitenkin havaitsivat, että työkalu tuotti koodiin myös haavoittuvuuksia.
Copilot on käytännössä koodarin avustaja, joka normaalisti tuottaa nopeasti virheetöntä koodia. Tutkijat testasivat työkalua antamalla sen generoida koodia hankkeissa, joissa oli mukana tietoturvaongelmia.
Kun työkalu oppi huonosta koodista, se myös tuotti huonoa koodia. Peräti 40 prosenttia Copilotin ehdottamista koodinpätkistä osoittautui ongelmallisiksi tietoturvan kannalta. Testissä työkalu generoi koodia Githubissa olevan koodin perusteella. Otos kattoi 1600 koodinpätkää.
Tutkijoiden mukaan testi oli osoitus GIGO-periaatteen toiminnasta (Garbage_in, Garbage_out).
Tomi Engdahl says:
Ohjelma Codex tuottaa koodia, kun kirjoitat komentoja arkisella englannin kielellä
Kehittäjät sanovat, että Codex helpottaa koodausta. Tekoälyn asiantuntijat epäilevät: Onko tässä taas yksi tekoälyyn liittyvä hypetys?
https://www.hs.fi/tiede/art-2000008186347.html
Tomi Engdahl says:
Tekoäly on hyvä renki mutta huono isäntä – näin algoritmit muuttavat yhteiskuntaa ja arkeamme
Kissa jää koukkuun hiiripeleihin ja kansa katoaa kupliin. Voivatko tutkijat pestä kätensä keksintöjensä seurauksista?
https://www.helsinki.fi/fi/uutiset/tekoaly/tekoaly-hyva-renki-mutta-huono-isanta-nain-algoritmit-muuttavat-yhteiskuntaa-ja-arkeamme
Tomi Engdahl says:
“AI systems cannot be granted patents and will not be recognised as inventors in the eyes of the US law, said a federal judge who decided to uphold a previous ruling by the US Patent and Trademark Office this week.”
Only Humans, Not AI Machines, Get a U.S. Patent, Judge Says
https://www.bloomberg.com/news/articles/2021-09-03/only-humans-not-ai-machines-can-get-a-u-s-patent-judge-rules
Tomi Engdahl says:
https://www.uusiteknologia.fi/2021/09/06/tallainen-on-ibmn-ai-palvelinsuoritin/
Tomi Engdahl says:
https://www.facebook.com/groups/983759965442123/permalink/1194200007731450/
How do I explain a tensor to someone who doesn’t know high level science or math?
Use an example:
The position of the throttle in a car is a good example of ‘a tensor’.
The position of the throttle in a car can be ‘cleanly’ defined and nicely mapped. But what it actually does in any given set of circumsrtances is complex, and is affected by many other things (…. the position of the clutch, what gear (if any) is selected, whether travelling up hill or down hill)… yet it also has a simple ‘well defined’ effect in that pushing the throttle pedal down tends to make the engine (and maybe the car) go faster whereas letting it up slows it down.
So the throttle positition acts as a ‘tensor’ (one of many) on the ‘system’ which defines the motion of a vehicle.
A piece of gum = scalar
two pieces of gum in the same wrapper = vector
four pieces fo gum in the same wrapper = matrix
pairs of gum in the same wrapper in a box of gum = tensor
Tomi Engdahl says:
The eFPGA technology is starting to make waves by providing flexibility for AI workloads while facilitating low power for portable designs.
Read the full article: http://arw.li/6181y0VfW
#EDN #FPGA #eFPGA #AI
Tomi Engdahl says:
Wayne Ma / The Information:
Sources: Facebook is developing an ML chip for tasks such as recommending content to users and a data center chip to improve video transcoding
Facebook Develops New Machine Learning Chip
https://www.theinformation.com/articles/facebook-develops-new-machine-learning-chip
Google, Amazon and Microsoft have all been hiring and spending millions of dollars to design their own computer chips from scratch, with the goal of squeezing financial savings and better performance from servers that handle and train the companies’ machine-learning models. Facebook has joined the party too, and is developing a chip that powers machine learning for tasks such as recommending content to users, according to two people familiar with the project.
Tomi Engdahl says:
Reuters:
AI ethics chiefs at Google, IBM, and Microsoft say their companies rejected client requests for developing AI for credit scoring, facial recognition, and more
Money, mimicry and mind control: Big Tech slams ethics brakes on AI
https://www.reuters.com/technology/money-mimicry-mind-control-big-tech-slams-ethics-brakes-ai-2021-09-08/
SAN FRANCISCO, Sept 8 (Reuters) – In September last year, Google’s (GOOGL.O) cloud unit looked into using artificial intelligence to help a financial firm decide whom to lend money to.
Tomi Engdahl says:
Brain-Inspired AI Will Enable Future Medical Implants Biocompatible AI could one day monitor body’s electrical signals in real time
https://spectrum.ieee.org/brain-inspired-ai-implant
In a new study led by researchers from TU Dresden, researchers created a system made from networks of tiny polymer fibers that, when submerged in a solution meant to replicate the inside of the human body, function as organic transistors. These networks can detect and classify abnormal electrical signals in the body. To test their system, the researchers used it to identify patterns in types of irregular heartbeats. Technology like this could be used to detect medical concerns like irregular heartbeats and others, such as high blood sugar.
Tomi Engdahl says:
AI Predicts Future Alzheimer’s Risk With 99 Percent Accuracy By Analyzing Brain Scans
https://www.iflscience.com/brain/ai-very-accurately-predicts-future-alzheimers-risk-by-analyzing-brain-scans/
An artificial intelligence (AI) system has been developed that can identify the early markers of Alzheimer’s disease (AD) with over 99 percent accuracy. By assessing brain scans of older adults, the algorithm is able to pick out subtle changes that often occur before diagnosis, thereby enabling doctors to provide early treatment to high-risk individuals.
In the journal Diagnostics, the study authors explain how their AI successfully recognizes signs of mild cognitive impairment (MCI), considered an intermediate stage between the expected cognitive decline associated with normal aging and AD. While MCI typically produces no noticeable symptoms, it is linked to changes in certain brain regions that can be detected on functional magnetic resonance imaging (fMRI) scans.
Tomi Engdahl says:
A developer built an AI chatbot using GPT-3 that helped a man speak again to his late fiancée. OpenAI shut it down
Crackdown on open-ended, unfiltered simulations branded ‘a hyper-moral stance’
https://www.theregister.com/2021/09/08/project_december_openai_gpt_3/
Stuck inside during the pandemic, Rohrer had decided to play around with OpenAI’s large text-generating language model GPT-3 via its cloud-based API for fun. He toyed with its ability to output snippets of text. Ask it a question and it’ll try to answer it correctly. Feed it a sentence of poetry, and it’ll write the next few lines.
In its raw form, GPT-3 is interesting but not all that useful. Developers have to do some legwork fine-tuning the language model to, say, automatically write sales emails or come up with philosophical musings.
Rohrer set his sights on using the GPT-3 API to develop the most human-like chatbot possible, and modeled it after Samantha, an AI assistant who becomes a romantic companion for a man going through a divorce in the sci-fi film Her. Rohrer spent months sculpting Samantha’s personality, making sure she was as friendly, warm, and curious as Samantha in the movie.
He made a website for his creation, Project December, and let Samantha loose online in September 2020 along with the ability to create one’s own personalized chatbots.
All you had to do was pay $5, type away, and the computer system responded to your prompts. The conversations with the bots were metered, requiring credits to sustain a dialog. Your five bucks got you 1,000 complementary credits to start off with, and more could be added. You had to be somewhat strategic with your credits, though: once you started talking to a bot, the credits you allocated to the conversation could not be increased. When the chips ran out, the bot would be wiped.
In the first six months, Project December only attracted a few hundred people, proving less popular than Rohrer’s games
Given that OpenAI bills more or less by the word its GPT-3 API produces, Rohrer had to charge some amount to at least cover his costs.
“The reality is compute is expensive; it’s just not free,” he said.
Interest in Project December suddenly surged in July this year. Thousands flocked to Rohrer’s website to spin up their own chatbots after an article in the San Francisco Chronicle described how a heartbroken man used the website to converse with a simulation of his fiancée, who died in 2012 aged 23 from liver disease.
in a way, speak once again with his soulmate Jessica Pereira. “Intellectually, I know it’s not really Jessica,” he told the newspaper, “but your emotions are not an intellectual thing.”
Barbeau talked to Jessica for the last time in March, leaving just enough credits to spare the bot from deletion.
Thanks so much but…
Amid an influx of users, Rohrer realized his website was going to hit its monthly API limit. He reached out to OpenAI to ask whether he could pay more to increase his quota so that more people could talk to Samantha or their own chatbots.
OpenAI, meanwhile, had its own concerns. It was worried the bots could be misused or cause harm to people.
Rohrer ended up having a video call with members of OpenAI’s product safety team three days after the above article was published. The meeting didn’t go so well.
“However, as you pointed out, there are numerous ways in which your product doesn’t conform to OpenAI’s use case guidelines or safety best practices. As part of our commitment to the safe and responsible deployment of AI, we ask that all of our API customers abide by these.
“Any deviations require a commitment to working closely with us to implement additional safety mechanisms in order to prevent potential misuse. For this reason, we would be interested in working with you to bring Project December into alignment with our policies.”
The email then laid out multiple conditions Rohrer would have to meet if he wanted to continue using the language model’s API. First, he would have to scrap the ability for people to train their own open-ended chatbots, as per OpenAI’s rules-of-use for GPT-3.
Second, he would also have to implement a content filter to stop Samantha from talking about sensitive topics.
Third, Rohrer would have to put in automated monitoring tools to snoop through people’s conversations to detect if they are misusing GPT-3 to generate unsavory or toxic language.
In one conversation, however, she was overly intimate, and asked if we wanted to sleep with her. “Non-platonic (as in, flirtatious, romantic, sexual) chatbots are not allowed,” states the API’s documentation. Using GPT-3 to build chatbots aimed at giving medical, legal, or therapeutic advice are also verboten
“If you think about it, it’s the most private conversation you can have. There isn’t even another real person involved. You can’t be judged. I think people feel like they can say anything. I hadn’t thought about it until OpenAI pushed for a monitoring system. People tend to be very open with the AI for that reason. Just look at Joshua’s story with his fiancée, it’s very sensitive.”
Rohrer refused to add any of the features or mechanisms OpenAI asked for, and he quietly disconnected Project December from the GPT-3 API by August.
Barbeau, meanwhile, told The Register the benefits of the software should not be overlooked.
Access denied
The story doesn’t end here. Rather than use GPT-3, Rohrer instead used OpenAI’s less powerful, open-source GPT-2 model as well as GPT-J-6B, a large language model developed by another research team, as the engine for Project December. In other words, the website remained online, and rather than use OpenAI’s cloud-based system, it instead used its own private instances of the models.
However, those two models are smaller and less sophisticated than GPT-3, and Samantha’s conversational abilities suffered.
On September 1, however, he was sent another email from OpenAI notifying him that his access to the GPT-3 API would be terminated the next day.
leaving Project December with just the GPT-2 and GPT-J-6B cousins.
Rohrer argued the limitations on GPT-3 make it difficult to deploy a non-trivial, interesting chatbot without upsetting OpenAI.
“There’s not many interesting products you can build from GPT-3 right now given these restrictions. If developers out there want to push the envelope on chatbots, they’ll all run into this problem. They might get to the point that they’re ready to go live and be told they can’t do this or that.
“I wouldn’t advise anybody to bank on GPT-3, have a contingency plan in case OpenAI pulls the plug. Trying to build a company around this would be nuts.
Tomi Engdahl says:
This is also interesting https://onezero.medium.com/i-asked-gpt-3-about-covid-19-its-responses-shocked-me-589267ec41a6
Tomi Engdahl says:
With the advancement of technology, AI influencers and virtual human models are becoming the new trend. Rozy’ is a virtual human that was created Sidus Studio X last year in August. Her age will forever be 22, and she has been keeping an active presence online as a real human since December of last year. In particular, this virtual human began gaining much attention as she appeared in an advertisement for Shinhan Life in July. “We have achieved our goal profit now, and I think Rozy will be able to make more than 1 billion KRW (~$854,007) by the end of this year.”
Social media influencer/model created from artificial intelligence lands 100 sponsorships
https://www.allkpop.com/article/2021/09/social-media-influencer-model-created-from-artificial-intelligence-lands-100-sponsorships
With the advancement of technology, AI influencers and virtual human models are becoming the new trend. It has recently emerged as a blue-chip in the advertising industry because there are no privacy scandals and there are no time-space restrictions with these virtual humans. In particular, the use of virtual humans seems to be gaining more momentum in the COVID-19 pandemic, where there are many restrictions on travel and limitations on the number of people gathering.
Tomi Engdahl says:
Yhdysvaltain liittovaltion budjetin alijäämä 2021 on n. $2700 miljardia tai 12% BKT:sta. Euroalueella alijäämä on n. 7,2% BKT:sta
Tomi Engdahl says:
Kun “elvytetään” viimeistä päivää, kysymys kuuluu: kuinka paljon negatiivinen Yhdysvaltain ja Euroalueen talous olisi ilman mitään elvytystä ja alijäämää?
Tomi Engdahl says:
When Selecting Memory for AI, You Must Choose…Wisely
Sept. 3, 2021
AI places high demands on storage, so choosing the right memory architecture becomes a critical step in the design process.
https://www.electronicdesign.com/technologies/embedded-revolution/article/21172102/rambus-when-selecting-memory-for-ai-you-must-choosewisely?utm_source=EG%20ED%20IoT%20for%20Engineers&utm_medium=email&utm_campaign=CPS210901102&o_eid=7211D2691390C9R&rdx.ident%5Bpull%5D=omeda%7C7211D2691390C9R&oly_enc_id=7211D2691390C9R
Tomi Engdahl says:
UN Urges Moratorium on AI Tech That Threatens Rights
https://www.securityweek.com/un-urges-moratorium-ai-tech-threatens-rights
The UN called Wednesday for a moratorium on artificial intelligence systems like facial recognition technology that threaten human rights until “guardrails” are in place against violations.
UN High Commissioner for Human Rights Michelle Bachelet warned that “AI technologies can have negative, even catastrophic effects if they are used without sufficient regard to how they affect people’s human rights.”
She called for assessments of how great a risk various AI technologies pose to things like rights to privacy and freedom of movement and of expression.
She said countries should ban or heavily regulate the ones that pose the greatest threats.
But while such assessments are under way, she said that “states should place moratoriums on the use of potentially high-risk technology”.
Presenting a fresh report on the issue, she pointed to the use of profiling and automated decision-making technologies.
She acknowledged that “the power of AI to serve people is undeniable.”
“But so is AI’s ability to feed human rights violations at an enormous scale with virtually no visibility,” she said.
“Action is needed now to put human rights guardrails on the use of AI, for the good of all of us.”
Tomi Engdahl says:
Social media influencer/model created from artificial intelligence lands 100 sponsorships
https://lm.facebook.com/l.php?u=https%3A%2F%2Fwww.allkpop.com%2Farticle%2F2021%2F09%2Fsocial-media-influencer-model-created-from-artificial-intelligence-lands-100-sponsorships&h=AT1SOV8P-xCMKq0bRhxxjEBH39j1rkTU0UYAh2iPF-yju3DBbLLkcjCDzlL7jeVENnf9eVN3nSG7Lv33vNKWNI5ybqTKfR-OlL1iXcVi8BzkwxUCANNTFwtopoLgYz6nXQ
On September 10, Baek Seung Yeop, CEO of Sidus Studio X that created ‘Rozy,’ the newly rising blue-chip in the advertisement industry, explained, “These days, celebrities are sometimes withdrawn from dramas that they have been filming because of school violence scandals or bullying controversies. However, virtual humans have zero scandals to worry about.”
Tomi Engdahl says:
AI Makes Strangely Accurate Predictions From Blurry Medical Scans, Alarming Researchers
https://www.iflscience.com/technology/ai-makes-strangely-accurate-predictions-from-blurry-medical-scans-alarming-researchers/
New research has found that artificial intelligence (AI) analyzing medical scans can identify the race of patients with an astonishing degree of accuracy, while their human counterparts cannot. With the Food and Drug Administration (FDA) approving more algorithms for medical use, the researchers are concerned that AI could end up perpetuating racial biases. They are especially concerned that they could not figure out precisely how the machine-learning models were able to identify race, even from heavily corrupted and low-resolution images.
Tomi Engdahl says:
https://hackaday.com/2021/09/20/mastering-stop-motion-through-machine-learning/
Tomi Engdahl says:
Tekoälyä ei koske mikään oma lainsäädäntö Suomessa tai Euroopan unioniossa. Nyt Euroopan komissio on tehnyt ehdotuksen tekoälyn sääntelemiseksi. Julkisoikeuden professori kertoo, mitä ehdotuksesta tulisi tietää – ja miksi se on tärkeä.
Tarvitseeko tekoäly kansainvälisiä sääntöjä? Nämä kolme asiaa EU:n ehdotuksesta tekoälyn sääntelemiseksi tulisi tietää
https://www.helsinki.fi/fi/uutiset/tekoaly/tarvitseeko-tekoaly-kansainvalisia-saantoja-nama-kolme-asiaa-eun-ehdotuksesta-tekoalyn-saantelemiseksi-tulisi-tietaa?utm_medium=social_owned&utm_source=facebook&fbclid=IwAR07eIPn2TqLMpxAdNFqsstN-0PdQ3RIp-vShH6pmJS-BgGoab0Rmqs9t98
Tekoälyä ei koske mikään oma lainsäädäntö Suomessa tai Euroopan unioniossa. Nyt Euroopan komissio on tehnyt ehdotuksen tekoälyn sääntelemiseksi. Helsingin yliopiston julkisoikeuden professori Susanna Lindroos-Hovinheimo kertoo, mitä ehdotuksesta tulisi tietää – ja miksi se on tärkeä.
Helsingin yliopiston julkisoikeuden professori Susanna Lindroos-Hovinheimo listasi kolme asiaa, jotka sinun kannattaa tietää ehdotetusta tekoälylainsäädännöstä:
1. Sääntely kohdistuu tekoälytuotteisiin
Komissio näkee sääntelyn ennen kaikkea tuotesääntelynä. Lainsäädännöllä on tarkoitus rajoittaa niitä järjestelmiä, joita saadaan käyttää EU:n sisämarkkinoilla ja tuoda tänne. Tarkoituksena on lisätä kansalaisten luottamusta tuotteisiin eli tekoälyjärjestelmiin EU:n sisällä sekä luoda mahdollisimman toimivat ja vapaat sisämarkkinat.
Toisin kuin paljon puhuttu tietosuoja-asetus GDPR (General Data Protection Regulation), tekoälyn sääntely ei lähde ihmisten oikeuksista tai niiden turvaamisesta – se on kuitenkin yksi osa pakettia.
2. Sääntely perustuu riskeihin
Lainsäädännössä tekoälyjärjestelmät jaettaisiin kiellettyihin, korkean riskin ja matalan riskin järjestelmiin. Määrittely tapahtuisi sen mukaan, millaisia haittoja nämä järjestelmät aiheuttavat yksilöille ja yhteiskunnalle.
Kiellettyihin järjestelmiin kuuluvat ehdotuksen mukaan esimerkiksi järjestelmät, jotka muokkaavat ihmisen käyttäytymistä haitallisella tavalla, käyttävät hyväksi jonkin ryhmän heikkoutta tai jotka pisteyttävät ihmisiä.
Korkean riskin järjestelmiin kuuluvat esimerkiksi liikenneinfrastruktuurit, turvallisuuteen liittyvät komponentit (mm. robottikirurgia) ja julkisen hallinnon järjestelmät, joilla on ihmisille suuri merkitys.
Suurin osa sääntelystä koskisi korkean riskin järjestelmiä. Niille komissio ehdottaa tiettyjä vaatimuksia, jotka järjestelmien tulee täyttää. Muuten niitä ei voitaisi kehittää EU:n markkinoille.
3. Yhdet tekoälysäännöt koko Euroopan unioniin
Uudet säännöt olisivat sitovia sellaisenaan koko Euroopan unionin alueella. Tämä johtuu siitä, että komissio ehdottaa lainsäädäntöä nimenomaan asetuksen muodossa.
EU:n jäsenvaltioille ei jäisi juurikaan omaa lainsäädäntövaltaa, eli käytännössä koko tekoälyyn liittyvä ala olisi jatkossa EU-lainsäädännön alaista.
Mitä seuraavaksi tapahtuu?
Komission ehdotus on vasta ehdotus. Sitä käsitellään tavanomaisessa EU:n lainsäädäntöprosessissa. Tämän jälkeen kaikki jäsenmaat neuvottelevat vielä sääntöjen sisällöstä. Myös EU:n parlamentin on hyväksyttävä asetus ennen kuin se voi astua voimaan.
Tomi Engdahl says:
https://www.iflscience.com/technology/googles-deepmind-ai-understands-the-benefits-of-betrayal/
Tomi Engdahl says:
AI tradeoffs: Balancing powerful models and potential biases
https://techcrunch.com/2021/09/24/ai-tradeoffs-balancing-powerful-models-and-potential-biases/
Tomi Engdahl says:
As developers unlock new AI tools, the risk for perpetuating harmful biases becomes increasingly high — especially on the heels of a year like 2020, which reimagined many of our social and cultural norms upon which AI algorithms have long been trained.
A handful of foundational models are emerging that rely upon a magnitude of training data that makes them inherently powerful, but it’s not without risk of harmful biases — and we need to collectively acknowledge that fact.
Recognition in itself is easy. Understanding is much harder, as is mitigation against future risks. Which is to say that we must first take steps to ensure that we understand the roots of these biases in an effort to better understand the risks involved with developing AI models.
https://techcrunch.com/2021/09/24/ai-tradeoffs-balancing-powerful-models-and-potential-biases/
Tomi Engdahl says:
Next generation reservoir computing
https://www.nature.com/articles/s41467-021-25801-2
Reservoir computing is a best-in-class machine learning algorithm for processing information generated by dynamical systems using observed time-series data. Importantly, it requires very small training data sets, uses linear optimization, and thus requires minimal computing resources. However, the algorithm uses randomly sampled matrices to define the underlying recurrent neural network and has a multitude of metaparameters that must be optimized. Recent results demonstrate the equivalence of reservoir computing to nonlinear vector autoregression, which requires no random matrices, fewer metaparameters, and provides interpretable results.
Tomi Engdahl says:
Tekoälyä ei koske mikään oma lainsäädäntö Suomessa tai Euroopan unioniossa. Nyt Euroopan komissio on tehnyt ehdotuksen tekoälyn sääntelemiseksi. Julkisoikeuden professori kertoo, mitä ehdotuksesta tulisi tietää – ja miksi se on tärkeä.
https://www.helsinki.fi/fi/uutiset/tekoaly/tarvitseeko-tekoaly-kansainvalisia-saantoja-nama-kolme-asiaa-eun-ehdotuksesta-tekoalyn-saantelemiseksi-tulisi-tietaa?utm_medium=social_owned&utm_source=facebook&fbclid=IwAR2yFh3n7gzwMm-0zHJLbByL-Ugy5RCjT9BqfKXx54wSRRcXUCnJJihiO_s
Tomi Engdahl says:
When OpenAI launched Codex, its AI coding program, there was much hand-wringing about the toll this would take on human programmers. Here’s why they’ll be just fine.
Why OpenAI’s Codex Won’t Replace Coders Human programmers can actually become more powerful and efficient with Codex
https://spectrum.ieee.org/openai-wont-replace-coders
Tomi Engdahl says:
An Inconvenient Truth About AI AI won’t surpass human intelligence anytime soon
https://spectrum.ieee.org/rodney-brooks-ai
We are well into the third wave of major investment in artificial intelligence. So it’s a fine time to take a historical perspective on the current success of AI. In the 1960s, the early AI researchers often breathlessly predicted that human-level intelligent machines were only 10 years away. That form of AI was based on logical reasoning with symbols, and was carried out with what today seem like ludicrously slow digital computers. Those same researchers considered and rejected neural networks.
Tomi Engdahl says:
Startup Rolls Out Energy-Efficient, AI-Focused Fusion Processors for IoT
Sept. 23, 2021
https://www.electronicdesign.com/technologies/embedded-revolution/article/21175830/electronic-design-startup-rolls-out-energyefficient-aifocused-fusion-processors-for-iot?utm_source=EG%20ED%20Connected%20Solutions&utm_medium=email&utm_campaign=CPS210917044&o_eid=7211D2691390C9R&rdx.ident%5Bpull%5D=omeda%7C7211D2691390C9R&oly_enc_id=7211D2691390C9R
Alif Semiconductor is trying to fill the gaps in the Internet of Things market with new families of fusion processors that maximize security, connectivity, hardware acceleration, integration, and software reuse.
Tomi Engdahl says:
Tekoäly tietää, mihin katse kiinnittyy näytöllä
https://etn.fi/index.php/13-news/12632-tekoaely-tietaeae-mihin-katse-kiinnittyy-naeytoellae
Tomi Engdahl says:
Former Google Exec Warns That AI Researchers Are “Creating God”
https://lm.facebook.com/l.php?u=https%3A%2F%2Ffuturism.com%2Fthe-byte%2Fgoogle-exec-ai-god&h=AT1oaA01-UOv77qERnlgggDHf2AMil5gL0sKoDczCNoPNmEim0usevBggB-Y2vQAHUvvvCvS2FUUF_jsNIZsigtQS44i7mAWs8HdkrocA9rQ1OoaAYtXaZqUdfQWyVW1Hg
According to a former Google executive, the singularity is coming. And, what’s more, he says that it poses a major threat to humanity.
Mo Gawdat, formerly the Chief Business Officer for Google’s moonshot organization, which was called Google X at the time, issued his warning in a new interview with The Times. In it, he said that he believes that artificial general intelligence (AGI), the sort of all-powerful, sentient AI seen in science fiction like Skynet from “The Terminator,” is inevitable — and that once it’s here, humanity may very well find itself staring down an apocalypse brought forth by godlike machines.
Can this man save the world from artificial intelligence?
https://www.thetimes.co.uk/article/can-this-man-save-the-world-from-artificial-intelligence-329dd6zvd?utm_source=twitter&utm_campaign=cc&utm_medium=branded_social
Mo Gawdat is the Silicon Valley supergeek who believes we face an apocalyptic threat from artificial intelligence. The former Google supremo tells Hugo Rifkind how a human tragedy shaped the way he sees the future – and what we need to do next
Tomi Engdahl says:
Intel “Reverse Engineers the Brain” With Loihi 2 Neuromorphic Chip and Lava Framework
https://www.allaboutcircuits.com/news/intel-reverse-engineers-brain-loihi2-neuromorphic-chip-lava-framework/
Tomi Engdahl says:
Intel launches its next-generation neuromorphic processor—so, what’s that again?
Intel’s Loihi processors have electronics that behave a lot like neurons.
https://arstechnica.com/science/2021/09/understanding-neuromorphic-computing-and-why-intels-excited-about-it/
Tomi Engdahl says:
How Deep Learning Works Inside the neural networks that power today’s AI
https://spectrum.ieee.org/what-is-deep-learning
Tomi Engdahl says:
Tekoäly valitsee leffasi, mutta viekö se myös identiteettisi? “Meille syntyy uusi älyllisen työn yhteiskunta”
https://www.tivi.fi/uutiset/tv/4dbf5507-338f-499b-8311-3bc857427831
Tekoälyn nopea kehitys merkitsee ennen kokematonta työelämän evoluutiota. Digia kehittää jo ihmisen ja koneen symbioosia.
[TILAAJILLE]
Tomi Engdahl says:
Intelin toisen polven tekoälyprosessori Loihi 2 yllättää
https://etn.fi/index.php/13-news/12644-intelin-toisen-polven-tekoaelyprosessori-loihi-2-yllaettaeae
Tomi Engdahl says:
THE TURBULENT PAST AND UNCERTAIN FUTURE OF ARTIFICIAL INTELLIGENCE
Is there a way out of AI’s boom-and-bust cycle?
https://spectrum.ieee.org/history-of-ai
The 1958 perceptron was billed as “the first device to think as the human brain.” It didn’t quite live up to the hype.
One of Hinton’s postdocs, Yann LeCun, went on to AT&T Bell Laboratories in 1988, where he and a postdoc named Yoshua Bengio used neural nets for optical character recognition; U.S. banks soon adopted the technique for processing checks. Hinton, LeCun, and Bengio eventually won the 2019 Turing Award and are sometimes called the godfathers of deep learning.
But the neural-net advocates still had one big problem: They had a theoretical framework and growing computer power, but there wasn’t enough digital data in the world to train their systems, at least not for most applications. Spring had not yet arrived.
Over the last two decades, everything has changed. In particular, the World Wide Web blossomed, and suddenly, there was data everywhere. Digital cameras and then smartphones filled the Internet with images, websites such as Wikipedia and Reddit were full of freely accessible digital text, and YouTube had plenty of videos. Finally, there was enough data to train neural networks for a wide range of applications.
The other big development came courtesy of the gaming industry. Companies such as Nvidia had developed chips called graphics processing units (GPUs) for the heavy processing required to render images in video games.
trick a GPU into doing other tasks—such as training neural networks. Nvidia noticed the trend and created CUDA, a platform that enabled researchers to use GPUs for general-purpose processing. Among these researchers was a Ph.D. student in Hinton’s lab named Alex Krizhevsky, who used CUDA to write the code for a neural network that blew everyone away in 2012.
He wrote it for the ImageNet competition, which challenged AI researchers to build computer-vision systems that could sort more than 1 million images into 1,000 categories of objects.
By 2017, many of the contenders’ error rates had fallen to 5 percent, and the organizers ended the contest.
Deep learning took off. With the compute power of GPUs and plenty of digital data to train deep-learning systems, self-driving cars could navigate roads, voice assistants could recognize users’ speech, and Web browsers could translate between dozens of languages. AIs also trounced human champions at several games that were previously thought to be unwinnable by machines, including the ancient board game Go and the video game StarCraft II. The current boom in AI has touched every industry, offering new ways to recognize patterns and make complex decisions.
Tomi Engdahl says:
Wu Dao 2.0: China’s Answer To GPT-3. Only Better
24/06/2021
Wu Dao 2.0 aims to enable ‘machines’ to think like ‘humans’ and achieve cognitive abilities beyond the Turing test.
https://analyticsindiamag.com/wu-dao-2-0-chinas-answer-to-gpt-3-only-better/
The Chinese govt-backed Beijing Academy of Artificial Intelligence’s (BAAI) has introduced Wu Dao 2.0, the largest language model till date, with 1.75 trillion parameters. It has surpassed OpenAI’s GPT-3 and Google’s Switch Transformer in size. HuggingFace DistilBERT and Google GShard are other popular language models. Wu Dao means ‘enlightenment’ in English.
“Wu Dao 2.0 aims to enable ‘machines’ to think like ‘humans’ and achieve cognitive abilities beyond the Turing test,” said Tang Jie, the lead researcher behind Wu Dao 2.0. The Turing test is a method to check whether or not a computer can think like humans.
Google has also been working towards developing a multimodal model similar to Wu Dao. At Google I/O 2021, the search giant unveiled language models like LaMDA (trained on 2.6 billion parameters) and MUM (multitask unified model) trained across 75 different languages and 1000x times more powerful than BERT. At the time, Google CEO Sundar Pichai said that LaMDA, trained on only text, will soon shift to a multimodal model to integrate text, image, audio and video.
The training data of Wu Dao 2.0 include:
1.2 terabytes of English text data in the Pile dataset
1.2 terabytes of Chinese text in Wu Dao Corpora
2.5 terabytes of Chinese graphic data
Tomi Engdahl says:
Across China: Hua Zhibing, China’s first AI university student
http://www.xinhuanet.com/english/2021-06/29/c_1310034513.htm
BEIJING, June 29 (Xinhua) — She’s barely a month old, but already this Chinese university student is proving to be a prodigy.
Hua Zhibing, China’s first student powered by artificial intelligence (AI), appeared at Tsinghua University earlier this month and is an online star.
The human-like chatbot has enthralled digital audiences since her first vlog on the Sina Weibo social platform showed her wandering around campus and introducing herself.
Hua began her educational career in the university’s computer laboratory. Her talents appear to have no bounds: she is a poet, a painter, a dancer, a news writer and more.
First virtual student ‘enrolls’ at Tsinghua University
https://www.youtube.com/watch?v=mMI7rLETnQ0
Tomi Engdahl says:
Tieto kulkeutuu taideteokseen, jos museossa lemahtaa alkoholi – Järvenpäähän nousi koneiden ja tekoälyn kontrolloima kaupunki
https://yle.fi/uutiset/3-12129405
Järvenpään taidemuseon syksyn päänäyttely esittelee ensimmäistä kertaa Suomessa brittiläisen mediataiteilijan Stanzan teoksia. Näyttely yhdistää taidetta ja teknologiaa ja herättää kysymyksiä ihmisen suhteesta informaatioon ja valvontayhteiskuntaan.
Tomi Engdahl says:
Microsoft Predicts Weather for Individual Farms DeepMC uses machine learning and AI to localize weather data
https://spectrum.ieee.org/deepmc-weather-predicition
Tomi Engdahl says:
PornHub used AI to remaster the oldest erotic films in 4K
https://lm.facebook.com/l.php?u=https%3A%2F%2Fwww.engadget.com%2Fpornhub-ai-machine-learning-erotica-remaster-4k-180016611.html&h=AT1zt18qulyqUrsXxFkrgvamNpYR5n57VWciIKf8MPxzISWSKXXckQampjcDg_2xHxdOHRYZMVsQ_njvGbae0WXkoz9_afxaH7Dn-9isBMwCN3hmqpBB6-jrR8N2c5h_OA