腾讯 AI Lab is involved in research and development in artificial intelligence, focusing on areas such as computer vision, speech technology, natural language processing, and machine learning.

腾讯 AI Lab

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Tencent Waterproof Wall

Asia-Pacific (APAC) Information Technology Companies (Top 10K)

Asia-Pacific (APAC) Artificial Intelligence (AI) Companies (Top 10K)

China Artificial Intelligence (AI) Companies

Private Guangdong Companies (Top 10K)

Tencent AI Lab established in Shenzhen in 2016 as a company-level strategic initiative and focuses on advancing fundamental and applied AI research. their goal is to use their technology assets including computing power, massive data sets and diversified user scenarios, to improve AI’s capabilities in understanding, decision-making and creation, and “Make AI Everywhere”.

Their research fields include computer vision, speech recognition, natural language processing and machine learning. Combining AI research with Tencent’s diverse user scenarios, their applications include Game, Social, Content and Platform AI. Today, they have developed “Jueyi” Go AI, and applied our technology in more than 100 Tencent products, including WeChat, QQ and news app Tian Tian Kuai Bao.

Shenzhen

Guangdong

China

Asia

Tencent AI Lab

Tencent Announces Two Advancements in AI+ Agriculture

Tencent develops AI-powered smart microscope to refine cancer diagnosis

Enables computers to understand the real visual world through tasks like large-scale image classification, semantic segmentation, human face and body analysis, and video content analysis.

Facilitates natural speech interaction between humans and machines, focusing on audio capture, processing, and reproduction, including tasks like speech recognition, synthesis, and voice conversion.

Empowers computer systems to interact using natural language text, covering areas like text understanding, text generation, dialogue systems, and machine translation.

Involves automatic analysis and learning from data to make predictions, with research in areas like machine learning theory, meta-learning, federated learning, and reinforcement learning.

A large-scale open-domain aspect-based summarization dataset created from Wikipedia, containing over 3.7 million instances for diverse summarization tasks.

Focuses on extracting and generating nonverbal messages from text and speech, enhancing dialogue understanding and generation tasks.

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news impact assignment basic	general
public peers	general	Nov 22, 2024 10:41 PM	149f852d
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signals	general	Nov 22, 2024 10:41 PM	e9475f21
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腾讯 AI Lab