Tokyo-based AI development company Sakana AI has announced the completion of a $100 million Series A financing round, with investors including NEA, Khosla Ventures, Lux Capital, and NVIDIA. Sakana AI focuses on nature-inspired intelligence and model optimization, particularly in evolutionary optimization and sparsity. The partnership with NVIDIA will provide advanced GPU technology support and access to Japanese data centers, aimed at promoting AI research and innovation. Collaboration goals include advancing research and leveraging NVIDIA's infrastructure.

The academic community is currently facing a controversy over data usage rights, as many academic publishers begin to package and sell research paper data to technology companies for training AI models. This action has sparked widespread discussion. Deals between Taylor and Francis and Microsoft, as well as Wiley and another company, have led to academic achievements being used to enhance AI systems. This practice has caused waves in the research community. Experts point out that once papers are used for training, it is difficult to remove them later, and the widespread acquisition of datasets enables AI models to learn and generate high-quality text.

Sakana AI has announced the launch of the 'AI Scientist' system, a comprehensive AI platform capable of independently conducting scientific research, from concept generation, coding, experiment execution, result summarization to paper writing, including peer review. Its design aims to mimic the human scientific research process. The system has demonstrated innovative contributions in several subfields of machine learning, such as diffusion models, transformers, and deep understanding, showcasing high computational efficiency and low costs (approximately $15 per paper). Although the initial version of the system may have some limitations.

According to the latest report from the PARAT database, the competitive landscape of the global Artificial Intelligence (AI) industry is taking shape. The United States' Alphabet (Google's parent company) and Microsoft lead in AI paper citations, while China's Baidu and Tencent demonstrate strong momentum in patent applications. This report overturns traditional perceptions of the AI field, emphasizing the robust development of cutting-edge research in the industry, particularly the research quality of Chinese companies. 'Attention Is All You Need' paper.

In this era of rapid advancement in artificial intelligence, how machines understand and "see" the world has remained a hot topic of research among scientists. Recently, a study published in the journal Nature Machine Intelligence has unveiled a novel approach—utilizing visual predictive coding to autonomously construct cognitive maps. This breakthrough is not only significant in the field of AI but also deepens our understanding of how machines simulate human visual perception. Within the brai

Elon Musk praises SpaceX interns for using AI to decipher ancient scrolls, gaining attention on Nature's front page. The discovery unveils the mystery of 2000 years old writings, with three college students successfully decoding over 2000 characters related to the philosophy of ancient Greek philosopher Epicurus, generating global buzz.

Swiss startup Jua announced it has raised $16 million to develop foundational AI models focused on nature. The primary application area for Jua is weather forecasting, with models addressing a broader range of physical problems and challenges. 468Capital and Green Generation Fund lead the investment, recognizing the multi-domain application potential of Jua's models. Jua employs a novel approach to integrate complex data, keeping costs low and maximizing computational resource efficiency, showing promising prospects.

A research team from University College London and Eberhard Karls University Tübingen developed Limbic Access to improve the accessibility of mental health services. Observational studies show that the use of Limbic Access has led to more people utilizing NHS talking therapy services, particularly among minority groups. The system reduces the social stigma surrounding mental health issues through personalized design and guided self-referral processes. During its use across 14 NHS talking therapy service centers in England, self-referral numbers increased by 15%. Non-binary, Asian/British Asian individuals and others...

The electronic signature industry is proactively embracing AI large models to enhance its digital and intelligent capabilities. Leading e-signature SaaS providers such as eSignBao and ShangShangQian regard AI large models as a key to improving product capabilities. AI large models can assist companies in the electronic signature industry with more accurate business analysis and provide more intelligent solutions. Electronic signature products based on AI large models can significantly increase signing efficiency and reduce signing costs. The deep integration of the electronic signature industry and AI large models will drive the sector towards a more intelligent development.

Camera manufacturers are responding to the rise of AI-generated images by embedding digital signatures to verify real photos. Nikon plans to offer a mirrorless camera with certification technology and a Verify web tool to check the authenticity of images, seeking methods to identify AI-generated content.

A paper jointly published by Google's DeepMind team and others claims that AI can autonomously create synthetic materials, sparking widespread discussion. A chemistry professor from University College London has discovered serious flaws in the paper, pointing out issues with its material characterization.

Stanford researchers found that GPT-4's review comments for Nature and ICLR papers matched human reviews over 50% of the time. Researchers inputted the PDF of a paper into GPT-4 to obtain review comments, which were then compared to human feedback. The similarity of GPT-4's reviews was over 82%, with authors believing the comments were helpful. Compared to humans, GPT-4 paid more attention to the paper's impact factor and showed less concern for ablation studies. Users generally believe that GPT-4's feedback could improve accuracy and reduce the workload of manual reviews.

AI is empowering research discoveries in various scientific fields, integrating into the phases of hypothesis formation, experimental design, data collection, and analysis of scientific discovery. The paper elaborates on the applications of technologies such as self-supervised learning, geometric deep learning, and generative artificial intelligence in scientific research, while also highlighting the core issues that remain in interdisciplinary AI development. Three Chinese co-authors collaborated with Yoshua Bengio and his team, and the paper has been published as a review article in Nature.

Weather forecasting and energy conservation are the roles of artificial intelligence in climate change. Companies like Google, NVIDIA, IBM, and Huawei are noteworthy in the field of climate change. Artificial intelligence can accelerate innovative solutions to address the impacts of climate change.