{"id":8193,"date":"2023-12-11T20:18:10","date_gmt":"2023-12-11T20:18:10","guid":{"rendered":"https:\/\/dailyai.com\/?p=8193"},"modified":"2023-12-19T12:48:50","modified_gmt":"2023-12-19T12:48:50","slug":"researchers-perform-ai-speech-recognition-with-human-brain-cells","status":"publish","type":"post","link":"https:\/\/dailyai.com\/da\/2023\/12\/researchers-perform-ai-speech-recognition-with-human-brain-cells\/","title":{"rendered":"Forskere udf\u00f8rer AI-talegenkendelse med menneskelige hjerneceller"},"content":{"rendered":"

Klynger af menneskelige hjerneceller dyrket i petrisk\u00e5le er blevet integreret med computere for at opn\u00e5 et grundl\u00e6ggende niveau af talegenkendelse.<\/b><\/p>\n

Feng Guo, fra Indiana University Bloomington, forklarer unders\u00f8gelsen, der er offentliggjort i <\/span>Naturelektronik<\/span><\/a>\"Dette er en forel\u00f8big demonstration for at vise, at konceptet kan lade sig g\u00f8re. <\/span>Der er stadig en lang rejse foran os.\" <\/span><\/p>\n

Guo peger p\u00e5 to prim\u00e6re udfordringer i konventionel AI, som denne form for biologisk AI s\u00f8ger at l\u00f8se: h\u00f8jt energiforbrug og de iboende begr\u00e6nsninger i siliciumchips, som deres forskellige funktioner til behandling og lagring af information.<\/span><\/p>\n

Guos team, sammen med andre, s\u00e5som Australiens Cortical Labs, som tr\u00e6nede hjerneceller til at spille Pong i 2022<\/a>I \u00f8jeblikket udforsker de biocomputing med levende nerveceller som en potentiel l\u00f8sning p\u00e5 disse udfordringer.\u00a0<\/span><\/p>\n

Disse hjerneorganoider - selvorganiserede, tredimensionelle v\u00e6vskulturer, der ligner minihjerner - opst\u00e5r fra stamceller under specifikke v\u00e6kstbetingelser.\u00a0<\/span><\/p>\n

De kan vokse til et par millimeter i diameter og indeholde op til 100 millioner nerveceller. Til sammenligning har en menneskehjerne cirka 100 milliarder nerveceller. Organoiderne placeres oven p\u00e5 et mikroelektrode-array, som b\u00e5de stimulerer organoiden og registrerer neuronal aktivitet. Guos team kalder denne ops\u00e6tning for \"Brainoware\".<\/span><\/p>\n

I bund og grund er Brainoware en ny form for AI, der er helt anderledes end det, vi normalt ser i computere og smartphones. <\/span><\/p>\n

I stedet for at bruge almindelige chips har forskerne skabt en lille klynge af menneskelige hjerneceller<\/a> - Hjerneorganoiden. Denne lille \"minihjerne\" er dyrket i et laboratorium ud fra stamceller, og den kan udf\u00f8re nogle grundl\u00e6ggende opgaver, som vi normalt forbinder med AI, som f.eks. at genkende talem\u00f8nstre.<\/span><\/p>\n

\"\"
A) Et diagram over \"Brainoware\"-systemet, som viser en hjerneorganoide (en laboratoriedyrket minihjerne), der er forbundet med en enhed, som registrerer og stimulerer dens elektriske aktivitet. B) Et mikroskopisk billede af hjerneorganoiden, der er farvet for at fremh\u00e6ve dens forskellige celletyper, s\u00e5som modne neuroner, astrocytter, tidlige neuroner og progenitorceller, og som viser dens komplekse 3D-struktur. Kilde: Naturelektronik<\/a>.<\/figcaption><\/figure>\n

S\u00e5dan fungerer det<\/span><\/h2>\n

\u00a0Hjerneorganoidet placeres p\u00e5 et s\u00e6rligt apparat, der kan sende og afl\u00e6se elektriske signaler. <\/span><\/p>\n

P\u00e5 den m\u00e5de kan forskerne kommunikere med organoiden og p\u00e5 en m\u00e5de l\u00e6re den at reagere p\u00e5 bestemte m\u00f8nstre eller input. I unders\u00f8gelsen tr\u00e6nede de den i at genkende forskellige stemmer fra lydklip.<\/span><\/p>\n

Et af de mest bem\u00e6rkelsesv\u00e6rdige aspekter ved Brainware er, at den l\u00e6rer og tilpasser sig. Ligesom en menneskehjerne bliver bedre til opgaver med \u00f8velse, forbedrer organoiden sin evne til at genkende stemmer, jo mere den uds\u00e6ttes for dem.\u00a0<\/span><\/p>\n

Det bringer os et skridt t\u00e6ttere p\u00e5 at skabe AI, der fungerer mere som den menneskelige hjerne, som er us\u00e6dvanlig effektiv og ikke beh\u00f8ver meget energi for at fungere (omtrent som en lille elp\u00e6re).<\/span><\/p>\n

Der er dog udfordringer. Det er vanskeligt at dyrke disse hjerneorganoider - de er sv\u00e6re at skabe, sv\u00e6re at reproducere konsekvent og holder ikke l\u00e6nge, men teamet arbejder p\u00e5 l\u00f8sninger.\u00a0<\/span><\/p>\n

Brainoware-pr\u00e6station<\/span><\/h2>\n

I et uoverv\u00e5get talegenkendelseseksperiment blev organoiderne tr\u00e6net til at skelne en enkelt stemme fra 240 lydoptagelser af otte personer, der udtalte japanske vokallyde. Disse lyde blev konverteret til signalsekvenser og rumlige m\u00f8nstre for organoiderne.<\/span><\/p>\n

Til at begynde med viste organoiderne en n\u00f8jagtighed p\u00e5 cirka 30 til 40%, som blev forbedret til 70 til 80% efter to dages tr\u00e6ning.\u00a0<\/span><\/p>\n

Mere om unders\u00f8gelsen<\/span><\/h2>\n

Bio-inspireret AI<\/span><\/a> tager et par forskellige former, som f.eks. <\/span>neuromorfe chips<\/span><\/a> baseret p\u00e5 biologiske neuroner. Dette g\u00e5r et skridt videre ved at skabe beregningsarkitektur fra biologiske organoider.\u00a0<\/span><\/p>\n

Her er flere detaljer om, hvordan det fungerer:<\/span><\/p>\n

    \n
  1. Bio-inspireret AI-hardware<\/b>: Unders\u00f8gelsen, der er offentliggjort i Nature Electronics, introducerer Brainoware, en ny AI-hardware, der anvender biologiske neurale netv\u00e6rk i en hjerneorganoide. Dette markerer et grundl\u00e6ggende skift fra traditionelle hjerneinspirerede siliciumchips og giver en mere autentisk emulering af hjernens funktion.<\/span><\/li>\n
  2. Brainowares struktur og funktionalitet<\/b>: Brainoware fungerer ved at forbinde en hjerneorganoide, der er dyrket af menneskelige pluripotente stamceller, med et multielektrodearray med h\u00f8j densitet. Denne ops\u00e6tning muligg\u00f8r b\u00e5de transmission af elektriske signaler til organoiden og registrering af neurale reaktioner. Organoidet udviser egenskaber som ikke-line\u00e6r dynamik, hukommelse og evnen til at behandle rumlig information.<\/span><\/li>\n
  3. Anvendelser demonstreret i unders\u00f8gelsen<\/b>: Teamet har med succes anvendt Brainoware i praktiske scenarier som f.eks. talegenkendelse og forudsigelse af ikke-line\u00e6re kaotiske ligninger (som H\u00e9non-kortet). Dette viser Brainowares evne til at forbedre sin computerydelse gennem tr\u00e6ning, hvilket understreger dens potentiale for opgaver, der kr\u00e6ver adaptiv l\u00e6ring.<\/span><\/li>\n
  4. Udfordringer og begr\u00e6nsninger<\/b>: P\u00e5 trods af sin innovative tilgang st\u00e5r Brainoware over for flere tekniske udfordringer, herunder generering og vedligeholdelse af hjerneorganoider. Derudover h\u00e6mmer hardwarens afh\u00e6ngighed af perifert udstyr dens potentiale. Man har med andre ord brug for en masse st\u00f8tteudstyr for at f\u00e5 hjerneorganerne til at fungere korrekt.\u00a0<\/span><\/li>\n
  5. Fremtidige retninger og potentiale<\/b>: Unders\u00f8gelsen tyder p\u00e5, at Brainoware kan udvikle sig til et mere effektivt og sofistikeret system med fremskridt inden for dyrkning af organoider og l\u00f8sning af praktiske problemer i forbindelse med organoider. Det kan f\u00f8re til AI-hardware, der i h\u00f8jere grad efterligner den menneskelige hjernefunktion, hvilket potentielt kan s\u00e6nke energiforbruget.<\/span><\/li>\n<\/ol>\n

    I fremtiden kan denne type biocomputing-systemer m\u00e5ske udf\u00f8re AI-opgaver mere energieffektivt end traditionelle siliciumbaserede chips.\u00a0<\/span><\/p>\n

    Udviklingen inden for bioinspireret AI fra i \u00e5r viser enorme muligheder for at hj\u00e6lpe AI-industrien med at overvinde gr\u00e6nserne for brute-force computing og skabe energieffektive teknologier, der er lige s\u00e5 elegante som naturen. <\/span><\/p>","protected":false},"excerpt":{"rendered":"

    Klynger af menneskelige hjerneceller dyrket i petrisk\u00e5le er blevet integreret med computere for at opn\u00e5 et grundl\u00e6ggende niveau af talegenkendelse. Feng Guo fra Indiana University Bloomington forklarer om unders\u00f8gelsen, der er offentliggjort i Nature Electronics: \"Dette er en forel\u00f8big demonstration, der viser, at konceptet kan lade sig g\u00f8re. Der er stadig en betydelig rejse forude.\" Guo peger p\u00e5 to prim\u00e6re udfordringer ved konventionel AI, som denne form for biologisk AI s\u00f8ger at l\u00f8se: h\u00f8jt energiforbrug og de iboende begr\u00e6nsninger ved siliciumchips, som f.eks. deres forskellige funktioner til behandling og lagring af information. Guos team har sammen med andre, f.eks. australske Cortical Labs,<\/p>","protected":false},"author":2,"featured_media":8195,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[350,203,101],"class_list":["post-8193","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-bio-inspired-ai","tag-biotech","tag-medtech"],"yoast_head":"\nResearchers perform AI speech recognition with human brain cells | DailyAI<\/title>\n<meta name=\"description\" content=\"Clusters of human brain cells cultivated in Petri dishes have been integrated with computers to achieve a fundamental level of speech recognition.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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