#biocomputing

[mindblowingscience]

There is no computer even remotely as powerful and complex as the human brain. The lumps of tissue ensconced in our skulls can process information at quantities and speeds that computing technology can barely touch. Key to the brain's success is the neuron's efficiency in serving as both a processor and memory device, in contrast to the physically separated units in most modern computing devices. There have been many attempts to make computing more brain-like, but a new effort takes it all a step further – by integrating real, actual, human brain tissue with electronics.

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[maxdanposts]

Introduction time I guess

hello tumblr my beloathed!! I am MaximumDanger, aka Max, aka Jim, an ex-cohoster after the site has been set to explode soon. I personally am not very thrilled by the idea of having to use this site but you gotta do what you gotta do i suppose.

Bit of quick info:

Crimean, minor, speaks RU/ENG + learning german(but horrendous at it), artist person of any/all pronouns. my art is here btw

May do stupid stuff sometimes but not intentionally, if i upset you poke me & i'll try 2 fix my behaviour.

if yer a terf bigot racist or any other variety of such yucky people then get off my 🅱age!!!!! im also a body horror & bugs & gore & etc enjoyer and these will only be tagged in original posts so beware!!

(also additional note i usually dont follow people who post very often(dont wanna flood my feed too much sorry) but if i like yer posts ill just check your blog separately from time to time c:)

Longer version(my interests n shit + other socials):

Media:

The Stanley Parable, The Beginner's Guide & Dr. Langeskov

corru.observer

Knuckle Sandwich(game)

Blame! & Biomega

17776 and its sequel(s)(hoping for the 20021 release)

O Sarilho webcomic(its very good, it has good art character death war crimes gay people trans people nice aliens body horror torture.. generally p cool you can read it here)

VALLONO & ARRILLUM(its an absolute banger the art is absolutely gorgeous please go read it i beg of you)

Bigtop Burger

Half-life

Yuppie psycho(i havent interacted with this thang for a long time but it still has a warm place in my heart c:)

Just stuff in general:

Speculative biology

Biopunk

Biocomputing!!!!!!!!!!!!!!

Teratomas. in my circles im known as the "biocomputing and hairy tumors person".

Microbial cellulose fashion(< this interest is very new and i barely know anything abt it but i like the concept a big lot)

Worldbuilding

Dieselpunk

Robots & other humanoid creachures(usually not androids tho. not a very big fan of androids. unless theyre fucked up then theyre cool)

Artificial Intelligence(not the boring kind) & artificial life(& as such, aliens)(i love foreign conciousness!!!)

Brutalism

Body horror

Dada(its very hard to figure out what dada is about but i read a bit and the ideas seem interesting)

Middle ages & renaissance(i think the aesthetic fucks immensely)(trying to research it a bit too sometimes but very hard 4 me to do)

Bugs!!!!! Fungus!!!! Birdies!!!!! Creachures!!!!!!

Some hobbies i guess:

i do birdwatching sometimes!! enjoyer of looking at living things in general

i . try to do a bit of coding sometimes. im not very good at it. i did however make a lil thingy to add discord emojis to your posts on cohost tho so theres that

i draw, of course

does exercise count as a hobby. idk its something im interested in and that brings me Nice Feelings. very hard to do consistently tho

i like video games. not playing video games. important distinction. i am terrible at video games. i do enjoy analyzing them sometimes to the best of my ability.

You may find me on:

Cohost(rip my beloved💔): https://cohost.org/MaxDanArts

Discord: @maximumdanger

Steam(i do not check it very often poke me in dms if you did something there): https://s.team/dr_furins

art sideblog, once again @maxdanarts

[rosewind2007]

Are these guys serious?

Final Spark?

Imagine a future where the boundaries between biology and technology dissolve, and the power of intelligence and computing transcends traditional silicon-based devices. Welcome to the next evolutionary leap – the era of biocomputing

Can’t think of anything that might be an issue there, luckily

Just re-reading Murderbot:

When constructs were first developed, they were originally supposed to have a pre-sentient level of intelligence, like the dumber variety of bot. But you can’t put something as dumb as a hauler bot in charge of security for anything without spending even more money for expensive company-employed human supervisors. So they made us smarter.

The anxiety and depression were side effects.

In the deployment center, when I was standing there while Dr. Mensah explained why she didn’t want to rent me as part of the bond guarantee agreement, she had called the increase in intelligence a

“hellish compromise”

[cbirt]

Scientists from Johns Hopkins University lay out the possibility of energy-efficient biocomputing using brain organoids (3D brain cell cultures) that surpass in-silico computing capabilities. The recent advances in how human stem cell-derived brain organoids replicate crucial cellular, and molecular aspects of learning and memory have led to the coining of the term Organoid Intelligence (OI). The development in brain organoid research promises to address in-vitro cognition or, as the authors say, intelligence-in-a-dish. The authors anticipate OI-based systems to yield faster decision-making capabilities, uninterrupted learning during tasks, and greater data and energy efficiency as compared to Artificial Intelligence-based systems. The research was recently published in Frontiers in Science.

Biological learning or Machine learning: which is more efficient?

Biological as well as machine learning involves building internal representations of the world to enhance task performance. But the implementation mechanisms involved in the two learning paradigms result in drastic efficiency differences.

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[mehmetyildizmelbourne-blog]

Creating an Innovation Storm from Mini-Brains in a Teacup: The Simplified Science of Organoids 

A simplified version of my conceptual and intuitive exploration of the mysteries behind organoid intelligence for a potential discovery merging artificial intelligence with biocomputing.  Combinatorial Innovation in Science and Technology I have been fascinated by various kinds of intelligence for combinatorial innovation, exploring ideas on how the human brain works—how it learns, remembers,…

[hennethgalad]

"now genetically engineered bacteria are doing the same. Such observations raise new questions about the meaning of “intelligence” and offer some insight on the biochemical nature and the origin of intelligence"

🤬

fourteen cells. fourteen individual cells and they’re better at maths than me. gah

[jcmarchi]

MIT named No. 2 university by U.S. News for 2024-25

New Post has been published on https://thedigitalinsider.com/mit-named-no-2-university-by-u-s-news-for-2024-25/

MIT named No. 2 university by U.S. News for 2024-25

MIT has placed second in U.S. News and World Report’s annual rankings of the nation’s best colleges and universities, announced today. 

As in past years, MIT’s engineering program continues to lead the list of undergraduate engineering programs at a doctoral institution. The Institute also placed first in six out of nine engineering disciplines.

U.S. News placed MIT second in its evaluation of undergraduate computer science programs, along with Carnegie Mellon University and the University of California at Berkeley. The Institute placed first in four out of 10 computer science disciplines.

MIT remains the No. 2 undergraduate business program, a ranking it shares with UC Berkeley. Among business subfields, MIT is ranked first in three out of 10 specialties.

Within the magazine’s rankings of “academic programs to look for,” MIT topped the list in the category of undergraduate research and creative projects. The Institute also ranks as the third most innovative national university and the third best value, according to the U.S. News peer assessment survey of top academics.

MIT placed first in six engineering specialties: aerospace/aeronautical/astronautical engineering; chemical engineering; computer engineering; electrical/electronic/communication engineering; materials engineering; and mechanical engineering. It placed within the top five in two other engineering areas: biomedical engineering and civil engineering.

Other schools in the top five overall for undergraduate engineering programs are Stanford University, UC Berkeley, Georgia Tech, Caltech, the University of Illinois at Urbana-Champaign, and the University of Michigan at Ann Arbor.

In computer science, MIT placed first in four specialties: biocomputing/bioinformatics/biotechnology; computer systems; programming languages; and theory. It placed in the top five of five other disciplines: artificial intelligence; cybersecurity; data analytics/science; mobile/web applications; and software engineering.

The No. 1-ranked undergraduate computer science program overall is at Stanford. Other schools in the top five overall for undergraduate computer science programs are Carnegie Mellon, Stanford, UC Berkeley, Princeton University, and the University of Illinois at Urbana-Champaign.

Among undergraduate business specialties, the MIT Sloan School of Management leads in analytics; production/operations management; and quantitative analysis. It also placed within the top five in three other categories: entrepreneurship; management information systems; and supply chain management/logistics.

The No. 1-ranked undergraduate business program overall is at the University of Pennsylvania; other schools ranking in the top five include UC Berkeley, the University of Michigan at Ann Arbor, and New York University.

[gamesatwork]

e470 — Two Marvelous Mini-Brains

AI threads through a set of old and new games that span text based adventures from Infocom’s HHG2G to recent examples like Milton is Trapped, along with a conversation on FinalSpark’s Neuroplatform for biocomputing.

Photo by Michael Rowe Published 1 July 2024 Andy and Michael M get together to talk through the backlog of articles and stories from the past weeks.  While Michael R is away this time, in this episode Andy and Michael M pull on an AI thread exposed through a set of old and new games, discuss FinalSpark’s Neuroplatform for biocomputing and marvel at the immense immersiveness of the Calculating…

[becky-beck]

with the creation of biocomputers the lines between organic and mechanical are blurring. they've been blurred for some time with subtle additions of the mechanical to the biological. now we're using parts of ourselves to better them just like how we used them to better us.

[renovatio06]

Swiss Startup Connects 16 Human Mini-Brains to Create Low Energy 'Biocomputer' | ScienceAlert.com

The bioprocessor with eight electrodes attached to four arrays each housing a cluster of brain cells. (Jordan et al., Frontiers in Artificial Intelligence, 2024) The future of AI? Source: Swiss Startup Connects 16 Human Mini-Brains to Create Low Energy ‘Biocomputer’ This just found me. Swiss Company FinalSpark just released a research platform based on organoid computing circuits that enable…

[zenblitz]

Living brain-cell biocomputers are now training on dopamine

As if AI wasn't freaky enough...

[techninja]

Unveiling the Potential: Wetware Computers Market Explodes with Innovation

In the realm of technological innovation, where the boundaries between science fiction and reality blur, wetware computers emerge as a fascinating frontier. Unlike traditional hardware, wetware computers are not built from silicon and metal but are instead composed of living biological material, such as neurons or DNA. This revolutionary approach to computing holds immense promise, igniting a surge of interest and investment in the Wetware Computers Market.

The concept of wetware computing draws inspiration from the most powerful computing system known to humanity: the human brain. Mimicking the brain's structure and functionality, wetware computers leverage biological components to perform complex computations with unparalleled efficiency and adaptability. This paradigm shift in computing heralds a new era of neuromorphic computing, where machines can learn, reason, and evolve in ways reminiscent of the human mind.

One of the most compelling applications of wetware computers lies in the realm of artificial intelligence (AI). Traditional AI systems often struggle with tasks that humans excel at, such as natural language processing and pattern recognition. Wetware computers, with their biological substrate, offer a more intuitive and seamless approach to AI, enabling machines to comprehend and interact with the world in a manner akin to human cognition.

Biocomputing, a subset of wetware computing, explores the integration of biological components, such as DNA molecules, into computational systems. DNA, with its remarkable data storage capacity and self-replicating nature, presents a tantalizing opportunity for developing ultra-compact and energy-efficient computing devices. Researchers envision DNA-based computers capable of solving complex problems in fields ranging from healthcare to environmental monitoring.

Another exciting avenue in the wetware computers market is the advancement of brain-computer interfaces (BCIs). BCIs establish direct communication pathways between the human brain and external devices, enabling individuals to control computers, prosthetics, or even smart appliances using their thoughts alone. With wetware-based BCIs, the potential for seamless integration and enhanced performance skyrockets, paving the way for transformative applications in healthcare, accessibility, and human augmentation.

The wetware computers market is not without its challenges and ethical considerations. As with any emerging technology, questions regarding safety, reliability, and privacy abound. Ensuring the ethical use of wetware technologies, safeguarding against potential misuse or unintended consequences, requires robust regulatory frameworks and interdisciplinary collaboration between scientists, ethicists, and policymakers.

Despite these challenges, the wetware computers market is poised for exponential growth and innovation. Companies and research institutions worldwide are investing heavily in R&D efforts to unlock the full potential of biological computing. From startups pushing the boundaries of biocomputing to established tech giants exploring neuromorphic architectures, the landscape is abuzz with creativity and ambition.

In addition to AI, biocomputing, and BCIs, wetware computers hold promise across diverse domains, including robotics, drug discovery, and environmental monitoring. Imagine robots endowed with biological brains, capable of learning and adapting to dynamic environments with human-like agility. Picture a future where personalized medicine is powered by DNA-based computing, revolutionizing healthcare delivery and treatment outcomes.

As the wetware computers market continues to evolve, collaborations between academia, industry, and government will be instrumental in driving innovation and addressing societal concerns. Interdisciplinary research initiatives, funding support for cutting-edge projects, and public engagement efforts are essential for navigating the complexities of this transformative technology landscape.

In conclusion, the rise of wetware computers represents a paradigm shift in computing, with profound implications for AI, biotechnology, and human-machine interaction. By harnessing the power of living biological material, we embark on a journey towards smarter, more adaptable, and ethically conscious computing systems. As we tread this uncharted territory, let us embrace the challenges and opportunities that lie ahead, shaping a future where wetware computers empower us to realize the full extent of our technological imagination.

[teledyn]

The presentations and discussion in this session build on the previously posted Frontiers in Science article ‘Organoid intelligence (OI): the new frontier in biocomputing and intelligence-in-a-dish’.

[sw5w]

Aurra Sing Watches the Racers Pass

STAR WARS EPISODE I: The Phantom Menace 01:01:11

[cbirt]

The emerging field of biocomputing holds immense promise for transforming both the realms of computing and medicine. With its potential applications ranging from early detection and treatment of diseases to futuristic enhancements of human memory, biocomputing represents a groundbreaking avenue for medical research. However, conventional computer hardware has certain limitations when it comes to interacting with living organisms, which has posed significant challenges in the development of medical equipment. Unlike organic systems, computerized implants lack the ability to self-repair, require a constant source of power, and can cause scarring in soft tissue, rendering them ineffective. To overcome these constraints, biocomputing leverages biological molecules like DNA or proteins to create innovative solutions that can push the boundaries of medical technology.

Traditionally, biocomputing relies on either living cells or enzyme-free, non-living molecules. While living cells possess the advantages of self-repair and self-nourishment, manipulating them for computational purposes can be a daunting task. Yet, they have poor signal output and are challenging to manage. In contrast, non-living molecules can get around some of the problems that live cells face.

A recent publication in Nature Communications reported a new biocomputing tool, the Transcriptional RNA Universal Multi-Purpose GatE PlaTform or Trumpet. This innovative platform represents a novel approach to biocomputing, marking a significant advancement in the field of biotechnology.

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[just-somehuman]

someone explain why that last sentence absolutely broke me