OpenCog Hyperon Alpha-Version | SingularityNET auf Binance Square

Benachrichtigung

Beliebte Artikel

Lesezeichen hinzugefügt und mit „Gefällt mir“ markiert

Original ansehen

--・259 views

OpenCog Hyperon Alpha-Version

Haftungsausschluss: Enthält Meinungen Dritter. Die hier bereitgestellten Informationen stellen keine Finanzberatung dar. Kann gesponserte Inhalte enthalten. Siehe AGB.

0

Bleib immer am Ball mit den neuesten Nachrichten aus der Kryptowelt

⚡️ Beteilige dich an aktuellen Diskussionen rund um Kryptothemen

💬 Interagiere mit deinen bevorzugten Content-Erstellern

👍 Entdecke für dich interessante Inhalte

E-Mail-Adresse/Telefonnummer

Relevanter Ersteller

@singularitynet

Weitere Inhalte des Erstellers entdecken

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

--

Aktuelle Nachrichten

Doodles Floor Price Surges After Movie Trailer Release

--

Ultiverse Introduces Onchain PCG Technology For AI-Driven Game Content

--

Polygon Mainnet Upgrade Scheduled For September 2024

--

Polygon Foundation Announces MATIC Migration To POL

--

Ether.fi Recovers Over 1.5 Million ETHFI Tokens From Sybil Addresses

--

Cookie Preferences

Nutzungsbedingungen der Plattform

Nutzungsbedingungen der Plattform

ba-one-trust-cookie