Oriol Vinyals

Q: How much does it cost to book Oriol Vinyals?

The fee to book Oriol Vinyals for your speaking engagement, influencer campaign, product endorsement or appearance will depend on a number of factors. MN2S will evaluate your request and liaise with you to deliver a tailored quote based on your requirements.

Q: Is Oriol Vinyals available to collaborate for brand campaigns?

Oriol Vinyals’s participation in your influencer campaign, or brand activation will depend on schedule, availability, and whether your brand/project is a good fit. MN2S will liaise with you to confirm availability, interest and provide you with a quote based on the collaboration plan.

Q: Will Oriol Vinyals do virtual appearance??

Oriol Vinyals may be open to virtual appearances such as live-streamed speaking engagements, influencer campaigns, brand activations, or promotional endorsements. Virtual collaboration requests are considered on a case-by-case basis. MN2S will consult with you to confirm interest and provide a tailored proposal and price for your request.

Q: How do I contact Oriol Vinyals’s agent?

To submit your inquiry, please send an email to info@mn2s.com. Note: MN2S only handles paid requests and opportunities. We cannot provide direct contact details for talent or assist with personal messages, fan mail or unpaid requests.

Oriol Vinyals is a prominent Spanish machine learning researcher at DeepMind, recognized for his significant contributions to artificial intelligence. He currently serves as the technical lead on the Gemini project, collaborating with notable figures Noam Shazeer and Jeff Dean. Vinyals is best known for co-inventing the sequence-to-sequence (seq2seq) model for machine translation, a groundbreaking innovation that has advanced the field of natural language processing and enabled more effective communication between languages.

Previously, Vinyals led the AlphaStar research group at DeepMind, which focused on applying AI techniques to complex computer games like StarCraft II. This project not only showcased the capabilities of AI in strategic environments but also provided valuable insights into reinforcement learning and decision-making processes. His work has consistently pushed the boundaries of what AI can achieve in dynamic, real-time settings.

In 2016, Vinyals was honored by MIT Technology Review as one of the 35 most innovative young people under 35, highlighting his impact on the technology landscape at a relatively early stage in his career. By 2022, he had ascended to the role of principal research scientist at DeepMind, where his research continues to gain traction and visibility in mainstream media.

As of August 2024, Oriol Vinyals remains a leading figure in AI research, driving innovations that aim to enhance the capabilities of machine learning systems and their applications across various fields, solidifying his status as a key player in the future of artificial intelligence.