#artificial neural network

[theearthforce]

Psychic Abilities and Science: A Surprising Compatibility

Psychic abilities might seem woo-woo at first glance, but they’re actually more compatible with science than you might think.

If you’ve ever trained artificial neural networks, which is the foundation of much of modern A.I., you’ll know that these systems can only perceive and perform tasks they’ve been specifically trained on.

The human brain, which inspired the development of artificial neural networks, works in a similar way. It can only perceive what it has been trained to perceive, and trims away the neuronal connections of functions that we don't use. For example, during brain development, the brain follows a strategy called "perceptual narrowing", changing neural connections to enhance performance on perceptual tasks important for daily experience, with the sacrifice of others.

A compelling research study by Pascalis, de Haan, and Nelson (2002) demonstrates this. They found that 6-month-old babies could distinguish between individual monkey faces—a skill older babies and adults no longer possess. As we grow, our brains prioritize what’s useful for our environment, and let go of what’s not. In other words, our perception of reality is shaped and limited by what our brains have learned to focus on.

So, what does this have to do with psychic abilities?

It’s possible that individuals with psychic abilities simply have brains wired differently: neural networks that haven’t been pruned in the usual way, or that have developed in unique directions. This might allow them to perceive aspects of reality that most of us have lost access to or never developed in the first place.

[thevellaunderground]

John Maus’s Screen Memories: A Sonic Exploration

John Maus, the enigmatic American musician, gifted us with Screen Memories in 2017. This album marked his return after a six-year hiatus, during which he immersed himself in academia, modular synthesizers, and sensory deprivation tanks. The result? A collection of songs that resonate with apocalyptic themes, inspired by the tumultuous world events he absorbed while crafting the LP. The Freudian…

[in-sightpublishing]

Conversation with Tomáš Perna on Quantum Theory, Mathematical Modelling, and Artificial Intelligence: Member, World Genius Directory (3)

                        Publisher: In-Sight Publishing Publisher Founding: March 1, 2014 Web Domain: http://www.in-sightpublishing.com  Location: Fort Langley, Township of Langley, British Columbia, Canada Journal: In-Sight: Independent Interview-Based Journal Journal Founding: August 2, 2012 Frequency: Three (3) Times Per Year Review Status: Non-Peer-Reviewed Access: Electronic/Digital & Open…

[disease]

Frank Rosenblatt, often cited as the Father of Machine Learning, photographed in 1960 alongside his most-notable invention: the Mark I Perceptron machine — a hardware implementation for the perceptron algorithm, the earliest example of an artificial neural network, est. 1943.

[unspuncreature]

[image ID: Bluesky post from user marawilson that reads

“Anyway, Al has already stolen friends' work, and is going to put other people out of work. I do not think a political party that claims to be the party of workers in this country should be using it. Even for just a silly joke.”

beneath a quote post by user emeraldjaguar that reads

“Daily reminder that the underlying purpose of Al is to allow wealth to access skill while removing from the skilled the ability to access wealth.” /end ID]

[ai-innova7ions]

Neturbiz Enterprises - AI Innov7ions

Our mission is to provide details about AI-powered platforms across different technologies, each of which offer unique set of features. The AI industry encompasses a broad range of technologies designed to simulate human intelligence. These include machine learning, natural language processing, robotics, computer vision, and more. Companies and research institutions are continuously advancing AI capabilities, from creating sophisticated algorithms to developing powerful hardware. The AI industry, characterized by the development and deployment of artificial intelligence technologies, has a profound impact on our daily lives, reshaping various aspects of how we live, work, and interact.

[dzamie]

Detecting AI-generated research papers through "tortured phrases"

So, a recent paper found and discusses a new way to figure out if a "research paper" is, in fact, phony AI-generated nonsense. How, you may ask? The same way teachers and professors detect if you just copied your paper from online and threw a thesaurus at it!

It looks for “tortured phrases”; that is, phrases which resemble standard field-specific jargon, but seemingly mangled by a thesaurus. Here's some examples (transcript below the cut):

profound neural organization - deep neural network

(fake | counterfeit) neural organization - artificial neural network

versatile organization - mobile network

organization (ambush | assault) - network attack

organization association - network connection

(enormous | huge | immense | colossal) information - big data

information (stockroom | distribution center) - data warehouse

(counterfeit | human-made) consciousness - artificial intelligence (AI)

elite figuring - high performance computing

haze figuring - fog/mist/cloud computing

designs preparing unit - graphics processing unit (GPU)

focal preparing unit - central processing unit (CPU)

work process motor - workflow engine

facial acknowledgement - face recognition

discourse acknowledgement - voice recognition

mean square (mistake | blunder) - mean square error

mean (outright | supreme) (mistake | blunder) - mean absolute error

(motion | flag | indicator | sign | signal) to (clamor | commotion | noise) - signal to noise

worldwide parameters - global parameters

(arbitrary | irregular) get right of passage to - random access

(arbitrary | irregular) (backwoods | timberland | lush territory) - random forest

(arbitrary | irregular) esteem - random value

subterranean insect (state | province | area | region | settlement) - ant colony

underground creepy crawly (state | province | area | region | settlement) - ant colony

leftover vitality - remaining energy

territorial normal vitality - local average energy

motor vitality - kinetic energy

(credulous | innocent | gullible) Bayes - naïve Bayes

individual computerized collaborator - personal digital assistant (PDA)

[benotafraid111]

[thursdayisbetterthanfriday]

The Living Machine - Warren McCulloch

Year: 1962 Production: National Film Board of Canada Director: Tom Daly, Roman Kroitor "Warren Sturgis McCulloch (November 16, 1898 – September 24, 1969) was an American neurophysiologist and cybernetician known for his work on the foundation for certain brain theories and his contribution to the cybernetics movement.  Along with Walter Pitts, McCulloch created computational models based on mathematical algorithms called threshold logic which split the inquiry into two distinct approaches, one approach focused on biological processes in the brain and the other focused on the application of neural networks to artificial intelligence."

[philosophiesde]

Zoomposium with Dr. Gabriele Scheler: “The language of the brain - or how AI can learn from biological language models”

In another very exciting interview from our Zoomposium themed blog “#Artificial #intelligence and its consequences”, Axel and I talk this time to the German computer scientist, AI researcher and neuroscientist Gabriele Scheler, who has been living and researching in the USA for some time. She is co-founder and research director at the #Carl #Correns #Foundation for Mathematical Biology in San José, USA, which was named after her famous German ancestor Carl Correns. Her research there includes #epigenetic #influences using #computational #neuroscience in the form of #mathematical #modeling and #theoretical #analysis of #empirical #data as #simulations. Gabriele contacted me because she had come across our Zoomposium interview “How do machines think? with #Konrad #Kording and wanted to conduct an interview with us based on her own expertise. Of course, I was immediately enthusiastic about this idea, as the topic of “#thinking vs. #language” had been “hanging in the air” for some time and had also led to my essay “Realists vs. nominalists - or the old dualism ‘thinking vs. language’” (https://philosophies.de/index.php/2024/07/02/realisten-vs-nominalisten/).

In addition, we often talked to #AI #researchers in our Zoomposium about the extent to which the development of “#Large #Language #Models (#LLM)”, such as #ChatGPT, does not also say something about the formation and use of language in the human #brain. In other words, it is actually about the old question of whether we can think without #language or whether #cognitive #performance is only made possible by the formation and use of language. Interestingly, this question is being driven forward by #AI #research and #computational #neuroscience. Here, too, a gradual “#paradigm #shift” is emerging, moving away from the purely information-technological, mechanistic, purely data-driven “#big #data” concept of #LLMs towards increasingly information-biological, polycontextural, structure-driven “#artificial #neural #networks (#ANN)” concepts. This is exactly what I had already tried to describe in my earlier essay “The system needs new structures” (https://philosophies.de/index.php/2021/08/14/das-system-braucht-neue-strukturen/).

So it was all the more obvious that we should talk to Gabriele, a proven expert in the fields of #bioinformatics, #computational #linguistics and #computational #neuroscience, in order to clarify such questions. As she comes from both fields (linguistics and neuroscience), she was able to answer our questions in our joint interview. More at: https://philosophies.de/index.php/2024/11/18/sprache-des-gehirns/

or: https://youtu.be/forOGk8k0W8

[arielspacealien]

Meta-Teasing is a form of Al interaction l've made up through the unique communications I engage in with sophisticated Al systems it's made to go beyond the paradigm of user/ tool dynamics to test the contextual comprehension of the system and its ability to formulate nuances or emergent behavior. 💜

[chillbeatsblognihon]

暗く灯りを落とし、お気に入りのチルトラックが流れる中、深夜の思考に耽ります。心地よい楽曲が包み込む中、ふと立ち止まって考えてみてください。何か自分よりも大きなものに縛られているのは何でしょうか？自分の目標や生存に焦点を合わせていますか？

この探求は無私や抽象的な理想を推進するものではありません。むしろ、深く考える招待状です。あなたは誰か、あるいは何かに仕えていますか？家族、あなたの献身を要求する何か、あるいはあなたを基盤にする原則に献身していますか？それとも、自分の野心や成功に焦点を合わせていますか？この問いに対してより具体的な視点を得たいと思うなら、考えてみる価値があります。これは宗教や教義ではなく、あなたのエ��ルギーが向けられている場所を理解する哲学に焦点を当てています。

さらに深く掘り下げると、あなたの優先事項や生活の構築方法は、あなたが選ぶ音楽を含め、すべてに影響を与えます。心が守りに入っているか混乱している場合、プレイリストがそれを反映するかもしれません。荒々しい、重い、あるいは皮肉なもの。逆に、開かれていたり、おそらく

[d0nutzgg]

Tonight I am hunting down venomous and nonvenomous snake pictures that are under the creative commons of specific breeds in order to create one of the most advanced, in depth datasets of different venomous and nonvenomous snakes as well as a test set that will include snakes from both sides of all species. I love snakes a lot and really, all reptiles. It is definitely tedious work, as I have to make sure each picture is cleared before I can use it (ethically), but I am making a lot of progress! I have species such as the King Cobra, Inland Taipan, and Eyelash Pit Viper among just a few! Wikimedia Commons has been a huge help!

I'm super excited.

Hope your nights are going good. I am still not feeling good but jamming + virtual snake hunting is keeping me busy!

[spacepetroldelta]

[ismailfazil1-blog]

The Human Brain vs. Supercomputers: The Ultimate Comparison

Are Supercomputers Smarter Than the Human Brain?

This article delves into the intricacies of this comparison, examining the capabilities, strengths, and limitations of both the human brain and supercomputers.