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Joelle Pineau, Meta's Vice President of AI Research, announced on Tuesday via Facebook that she plans to leave the company in May. A highly respected leader within Meta's AI research lab (FAIR) for over two years, she oversaw the company's innovation and development in AI. Pineau's departure comes at a crucial time for Meta, as the company plans to invest up to $65 billion in AI by 2025.

Joelle Pineau, VP of Meta AI Research, announced on Tuesday via a Facebook post that she will be leaving her position at Meta in May. Pineau has served as the head of Meta's Fundamental AI Research (FAIR) lab for the past two years, leading the lab's cutting-edge research in artificial intelligence. FAIR is a core internal research team at Meta, led by renowned scientist Yann LeCun. Pineau's departure comes as Meta...

Noam Brown, Head of AI Reasoning Research at OpenAI, recently stated in a panel discussion at NVIDIA's GTC conference that certain forms of reasoning AI models "could have existed 20 years earlier if researchers had known the right approach and algorithms." He pointed out several reasons why this research direction was overlooked. Brown recounted his experience in game AI research at Carnegie Mellon University, including Pluribus, which defeated top human professional poker players. He stated that he helped create...

According to the Science and Technology Innovation Board Daily, Alibaba Cloud has launched a new initiative called "Project T" to accelerate the development of next-generation AI technologies. The project will focus on several cutting-edge areas, including AI engines, large language models (LLMs), and multi-modal technologies. The goal is to meet the growing market demand through breakthroughs in these technologies. The launch of "Project T" signifies Alibaba Cloud's further deepening of its AI strategy. Insiders reveal that this project will not only speed up AI R&D but also attract more top talent.

Google has officially announced the launch of its AI research assistant system based on Gemini 2.0 - the AI co-scientist, aimed at providing virtual collaboration for scientists to generate novel research hypotheses and suggestions. This system not only offers traditional literature review and summarization capabilities but also breakthrough original knowledge discovery abilities. The AI co-scientist can simulate the reasoning process of scientific methods and provide researchers with innovative research hypotheses and proposal plans based on existing evidence and specific research objectives.

In recent years, the rapid development of artificial intelligence (AI) technology, especially driven by countries like the United States and China, has made AI a focal point of global technological competition. To this end, the EU recently announced a funding program of up to 200 billion euros to promote development in this field. Despite Germany's strong capabilities in AI research, why hasn't a single successful AI enterprise emerged? Source: Image generated by AI, image courtesy of service provider Midjourney according to Professor Bjorn from the University of Munich.

Genspark has recently launched a new feature called "Deep Research," which provides AI-driven search and research services by integrating the capabilities of multiple models. Initial testing shows that while it may not match the depth of content found in OpenAI's related services, its quality and accuracy are satisfactory. Notably, this feature currently supports a free trial. In practical tests, Deep Research has been able to accurately compile important recent information, such as OpenAI's releases from the past week.

Recently, Anthropic hired a researcher specifically focused on 'welfare'—Kyle Fish—a move that has sparked widespread discussion. Fish's goal is to explore how certain technological systems should be accorded respect and to examine whether these systems should have moral consideration and how to protect their 'interests.' This issue has attracted the attention of many experts, involving the definition of consciousness and agency in technological systems, and whether they should possess some form of rights. Image source note: Image generated by AI.

With the proliferation of deepfake technology, the amount of false content online has surged. According to data from the ID verification platform Sumsub, the number of deepfakes quadrupled from 2023 to 2024, accounting for 7% of all fraud in 2024. This includes various forms such as identity impersonation, account takeover, and complex social engineering attacks. To tackle this challenge, Meta has recently launched a new watermark tool - Meta Video Seal, aimed at helping with AI-generated content.

Amazon recently announced a $110 million investment in AI research to support the development of its own designed Trainium chips. This move aims to reduce Amazon's reliance on Nvidia and promote technological advancements in its cloud computing platform AWS. Note: Image generated by AI, image licensed from service provider Midjourney. Trainium is a machine learning chip tailored for deep learning training and inference tasks. Through this investment, Amazon hopes to encourage academic research.

Microsoft Research recently inaugurated its newest laboratory in Tokyo, Japan, marking a significant step in the company's AI research initiatives in the Asia-Pacific region. Leading the lab is former Osaka University professor and senior researcher at Microsoft Research Asia, Kazuya Matsushita, who returns to Microsoft with ten years of academic experience to embark on a new chapter. The new laboratory will focus on fields such as embodied AI, health and welfare, neuroscience, social AI, and industrial innovation, aligning closely with Japan's socioeconomic development priorities. Through deep collaboration with local academia and industry, the laboratory aims to contribute to global innovation.

Recently, Amazon announced a significant investment of $110 million for artificial intelligence (AI) research aimed at reducing reliance on Nvidia and advancing the development of its own chips. The funding will support generative AI research at universities under the project name 'Build on Trainium.' The project will provide researchers with the opportunity to use Trainium chips to develop new AI architectures, machine learning libraries, and solutions for large-scale distributed AWS Train.

Recently, OpenAI's research team discovered that the usernames chosen by users can somewhat influence the responses of ChatGPT during interactions. Although this effect is relatively minor and primarily seen in older models, the findings are still noteworthy. Users typically provide their names to ChatGPT for tasks, making the cultural, gender, and racial backgrounds inherent in those names an important factor in studying bias. In this research, the researchers explored ChatGPT.