📢Připojte se k nám zítra v 18:00 UTC na týdenní radnici @SN | SingularityNET na Binance Square

Trendující články

Přidáno do záložek a oblíbených

Centrum pro tvůrce

Zobrazit originál

--

📢Připojte se k nám zítra v 18:00 UTC na týdenní radnici @SNET_Ambassador Town Hall a spojte se s našimi skvělými komunitními vůdci ➡️ https://t.co/pPACqjg43z Máte zájem stát se ambasadorem #SingularityNET? Navštivte https://t.co/fQu91SNoWD, kde se dozvíte více.

Vyloučení odpovědnosti: Obsahuje názory třetích stran. Nejedná se o finanční poradenství. Může obsahovat sponzorovaný obsah. Viz obchodní podmínky.

143

0

Odpovědi 0

Prohlédněte si nejnovější zprávy o kryptoměnách

⚡️ Zúčastněte se aktuálních diskuzí o kryptoměnách

💬 Komunikujte se svými oblíbenými tvůrci

👍 Užívejte si obsah, který vás zajímá

E-mail / telefonní číslo

Relevantní tvůrce

@singularitynet

Prozkoumat více od tvůrce

Catch up on this week's @DeepFunding Town Hall meeting:

--

Join us this Tuesday, May 7th, 2024, at 5 pm UTC for the first session of a special two-part SingularityNET's Technical Tuesdays mini-series dedicated to the latest advancements in the development of a unified experiential learning component for OpenCog Hyperon, our framework for #AGI at the human level and beyond. Session 1 - The implementation of NARS (Non-Axiomatic Reasoning System) in OpenCog Hyperon’s MeTTa language cognitive computations; - Integrating the AIRIS (Autonomous Intelligent Reinforcement Interpreted Symbolism) causality-based learning AI into Hyperon. Session 2 - Recreating experiential learning in Hyperon using ROCCA (Rational OpenCog Controlled Agent); - Porting fundamental components ROCCA requires from OpenCog classic to Hyperon, including forward and backward chaining, PLN (Probabilistic Logic Networks), and pattern mining. These advancements are part of our ongoing initiative to consolidate the strengths of several systems —ROCCA, NARS, OpenPsi, and AIRIS— to create a unified experiential learning component for Hyperon. This approach will allow AI models to: - Develop a goal-independent understanding of their environment through causal knowledge gained from planned and spontaneous interactions; - Explore their environment with increased efficiency using a curiosity model that prioritizes situations with high uncertainty, challenging their existing causal knowledge. Our preliminary findings indicate that this approach surpasses common Reinforcement Learning techniques in terms of data efficiency by orders of magnitude. To learn more, set your reminder for the livestream now on your preferred platform: - YouTube: https://youtube.com/live/P5VTM3dcn6A - LinkedIn: https://www.linkedin.com/events/beyondreinforcementlearning-how7192236486073757696/theater/ - X: @SingularityNET

--

This week, we were honored to announce the Alpha release of our framework for #AGI and beyond, OpenCog Hyperon. The Alpha introduces foundational components, including the MeTTa language interpreter and the Distributed Atomspace (DAS). Learn more:

--

April was another month of incredible growth across our decentralized AI ecosystem. Catch up on the latest updates and highlights on the launch of the ASI Alliance, Hyperon Alpha release, Platform development, community-driven initiatives, and more!

--

Earlier this week, COO @JanetAdamsAI sat down with @arabnews' Reine Carla Takla to discuss the intersection of AI and hospitality, our new Mind Children project, @Zarqa_AI's neural-symbolic LLMs, and the unique capabilities of @DesdemonaRobot. Read now: https://t.co/iTHKTRnrjx

--

Nejnovější zprávy

Cathedra Bitcoin Shifts Strategy To Maximize Bitcoin Reserves

--

BNB Drops Below 530 USDT with a 3.45% Decrease in 24 Hours

--

Memecoin Community Could Gain Mainstream Attention, Says Jupiter Co-Founder

--

Celsius Ex-CEO Faces Potential 115-Year Sentence

--

SEC Members to Testify Before House Financial Services Committee

--

Cookie Preferences

Pravidla a podmínky platformy

Pravidla a podmínky platformy

ba-one-trust-cookie