Web Analytics
Cryptopolitan
2026-02-10 09:45:07

Alibaba open-sources RynnBrain to challenge Google, Nvidia robotics tech

Alibaba has on Tuesday launched RynnBrain, a new embodied AI model that helps machines handle real-world tasks. RynnBrain is open-source, and it’s already up on GitHub and Hugging Face, with the Chinese giant claiming it thing can help robots figure out how to grab stuff, understand where objects are, and plan what to do next. Basically, Alibaba is turning robots into workers. RynnBrain was built by the company’s internal research group called DAMO Academy. It’s trained to recognize objects, understand how they move, and make decisions based on space and time. That’s the kind of stuff robots need if they’re going to be useful outside labs. The company says the model performs better than Google’s Gemini Robotics‑ER 1.5 and Nvidia’s Cosmos‑Reason2 in benchmark tests. Alibaba releases multiple versions and trains AI model on Qwen3-VL The RynnBrain AI model is trained on Alibaba’s Qwen3‑VL, and comes in different sizes, starting with 2 billion parameters, and there’s also a version built using a mixture-of-experts design for better efficiency. Developers can try out whichever version fits their project best. Alibaba made sure the model can be used for robotics in real settings like factories and kitchens. It’s built to predict where objects might go, avoid crashes, and plan what action to take. This kind of AI is exactly what Beijing is focusing on right now. The Chinese government is putting money and attention into physical AI, especially robots that can work in manufacturing and hospitality. The goal is simple: beat the U. S. in the next round of tech battles. Jeff Zhang, who is the Chief Technology Officer at Alibaba, also runs the DAMO Academy. He’s leading the team behind this release and the labs they’re building next. “The DAMO Academy will be at the front of developing next-generation technology that supports Alibaba and our partners. We want to discover new tech that helps users and businesses work faster and more securely,” said Jeff. Alibaba expands global labs and launches hiring for 100 researchers Alibaba is building seven new labs around the world in Beijing , Hangzhou, San Mateo, Bellevue, Moscow, Tel Aviv, and Singapore. Their work includes machine learning, fintech, network security, visual computing, quantum computing, and human-machine interaction. Alibaba also plans to recruit 100 researchers from around the world who specialize in IoT, data intelligence, and natural language processing. The DAMO Academy is also working with schools. One of their main partners is the University of California, Berkeley, where they’re teaming up with the RISE Lab on secure real-time computing. That means their work won’t stay inside corporate walls. Jeff said :- “We’ve spent 18 years building a strong tech base that keeps up with our business growth. Now we’re expanding and want researchers to help us build new tools that improve lives and support small businesses.” This is all part of Alibaba’s long-term plan. The company says it wants to serve 2 billion customers and create 100 million jobs in the next 20 years. Right now, it already has a tech team of 25,000 engineers and scientists. But with the release of RynnBrain, they’re making it clear they’re not done building. The smartest crypto minds already read our newsletter. Want in? Join them .

Crypto 뉴스 레터 받기
면책 조항 읽기 : 본 웹 사이트, 하이퍼 링크 사이트, 관련 응용 프로그램, 포럼, 블로그, 소셜 미디어 계정 및 기타 플랫폼 (이하 "사이트")에 제공된 모든 콘텐츠는 제 3 자 출처에서 구입 한 일반적인 정보 용입니다. 우리는 정확성과 업데이트 성을 포함하여 우리의 콘텐츠와 관련하여 어떠한 종류의 보증도하지 않습니다. 우리가 제공하는 컨텐츠의 어떤 부분도 금융 조언, 법률 자문 또는 기타 용도에 대한 귀하의 특정 신뢰를위한 다른 형태의 조언을 구성하지 않습니다. 당사 콘텐츠의 사용 또는 의존은 전적으로 귀하의 책임과 재량에 달려 있습니다. 당신은 그들에게 의존하기 전에 우리 자신의 연구를 수행하고, 검토하고, 분석하고, 검증해야합니다. 거래는 큰 손실로 이어질 수있는 매우 위험한 활동이므로 결정을 내리기 전에 재무 고문에게 문의하십시오. 본 사이트의 어떠한 콘텐츠도 모집 또는 제공을 목적으로하지 않습니다.