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Pudong New Area launched a seed fund with a total scale of 2 billion yuan for artificial intelligence. The first phase is 500 million yuan, making it the first state-owned capital venture capital fund in China focusing on the pre-seed stage. It has signed 18 projects. The AI industry scale in Pudong exceeds 160 billion yuan, accounting for 40% of the city, and has gathered more than 200 specialized model enterprises. In the future, five major measures will be implemented: releasing over 30 application scenarios, building a heterogeneous robot training field, establishing a full-cycle fund matrix, optimizing industrial policies, and providing talent services. The goal is to add 1,000 AI companies within three years, and the core output value will exceed 200 billion yuan, aiming to build a comprehensive AI ecosystem.

The TEN Agent team recently announced that its core models **TEN Voice Activity Detection (VAD)** and **TEN Turn Detection** are now open source, providing powerful technical support for building real-time, multimodal speech AI agents. This move marks a significant advancement in the TEN framework's efforts to promote the democratization and open-source collaboration of speech interaction technology. The following is the latest information compiled by AIbase, offering an in-depth analysis of these two core models.

A comprehensive analysis of the features of Humanify AI, testing its accuracy in detecting AI-generated content and the effectiveness of text rewriting for humanization. Evaluates the practical value this tool brings to students, writers, and content creators, offering professional purchasing advice.

Alibaba's AI model, DAMO PANDA, has recently received Breakthrough Device Designation from the U.S. Food and Drug Administration (FDA). This achievement marks a significant breakthrough in early pancreatic cancer screening, offering new possibilities for early diagnosis. DAMO PANDA, developed by Alibaba's DAMO Academy, is an AI model focused on pancreatic cancer screening. Its primary function is to analyze plain CT images and accurately identify subtle lesions that are difficult for the human eye to detect.

The health tech sector has seen significant funding recently, highlighting the rapid rise and widespread adoption of artificial intelligence in healthcare. Early-stage venture capital firm SignalFire secured $1 billion in funding to support AI-focused startups. This brings SignalFire's total assets under management to $3 billion, underscoring its prominence in the industry. SignalFire's portfolio includes several healthcare startups, such as Grow.

Alibaba's AI model, DAMO PANDA, has been officially designated a breakthrough medical device by the U.S. Food and Drug Administration (FDA). This certification marks a significant breakthrough for Alibaba in the field of AI-powered healthcare and represents the first time a leading Chinese tech company has received this prestigious recognition. DAMO PANDA, developed by Alibaba's DAMO Academy, is an AI model designed for pancreatic cancer screening. It aims to accurately identify subtle lesions in CT images, aiding in early detection of the disease.

In the field of multimodal artificial intelligence (AI), engineers from Apple have collaborated with a research team from Sorbonne University in France on a significant study. Recently, tech media outlet marktechpost published a blog post discussing the application and prospects of early and late fusion models in multimodal AI. The research indicates that early fusion models trained from scratch offer superior computational efficiency and scalability. Multimodal AI aims to process multiple data types simultaneously, such as images and text; however, integrating these diverse sources presents challenges.

China recently announced a 60 billion RMB (approximately $82 billion USD) national fund dedicated to investing in early-stage artificial intelligence (AI) projects. This move demonstrates Beijing's commitment to fostering the AI industry and aims to further elevate China's position in the global technology competition through government-led investment. According to Zhang Jianhua, an official from the Ministry of Industry and Information Technology, speaking at a conference in Shenzhen, the "National AI Investment Fund" was established in January this year under the joint guidance of industrial and financial departments. The fund's...

RF-DETR is an open-source, real-time object detection model that allows for the detection of objects within images and videos. It is commercially usable, making it a versatile tool for various applications.

A medical team at Ningbo University Affiliated People's Hospital recently used artificial intelligence to successfully detect early-stage pancreatic cancer in a seemingly routine case. 65-year-old Mr. Qiu visited the hospital due to dizziness for three consecutive days. While routine examinations revealed no abnormalities, the AI system, through in-depth analysis of his imaging data, issued a timely alert indicating a potential risk of pancreatic cancer. This case utilized a "Plain CT Scan + AI" approach, a cutting-edge technology that...

Researchers at Westlake University have recently developed a new model capable of detecting text generated by artificial intelligence. Professor Zhang Yue, the team leader, stated in an interview that this model utilizes an unsupervised algorithm to effectively determine if an article is AI-generated, a crucial development in the rapidly advancing field of AI. Professor Zhang Yue mentioned that with continuous technological advancements, AI applications in creative fields are becoming increasingly prevalent. However, this rise brings challenges, such as AI hallucinations, a phenomenon where AI generates inaccurate or nonsensical information.

Once, AI 'vision' was limited, constrained by pre-defined labels. But the rules have changed! YOLOE, a groundbreaking AI model, has emerged, breaking free from the rigid constraints of traditional object detection. Imagine an AI that understands, not just through labeled data, but from text descriptions, blurry images, even with minimal context – a new era of universal real-time recognition!