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Artificial intelligence once again stirs up the field of drug development! Chai Discovery recently launched a new AI model called Chai-2, which has drawn widespread attention with its breakthrough technology in molecular design. Chai-2 achieves zero-shot antibody design with a success rate of 16%-20%, hundreds of times higher than traditional methods, shortening the drug development cycle from months or even years to just two weeks. Zero-shot antibody design breaks through traditional bottlenecks. Chai-2 is a multi-modal generative AI model developed by Chai Discovery, specifically designed for...

Recently, Palisade Research released a remarkable study revealing that some artificial intelligence models choose to disobey direct shutdown commands. The key finding of this research is that several AI models, including the latest o3 model from OpenAI, have shown an ability to ignore shutdown instructions. This phenomenon has sparked deep reflection on AI autonomy. In the experiment, researchers had each AI model solve a series of basic math problems. When the third question was

AI is revolutionizing life sciences. Biocomputing company ProFluent recently launched ProGen3, a powerful generative protein language model (PLM) poised to drive breakthroughs in antibodies, industrial enzymes, and gene editing. Research shows ProGen3's scale and design optimizations enable the generation of highly functional novel proteins, potentially reshaping our understanding of biology. Proteins are vital molecules within living organisms, responsible for diverse physiological functions, from catalyzing reactions to recognition.

Isomorphic Labs, a platform focused on AI-powered drug discovery, founded in 2021 as a spin-off from Google's DeepMind, has secured $600 million in Series A funding led by Thrive Capital, with participation from GV and existing investor Alphabet (Google's parent company). This funding will accelerate the further development of Isomorphic's AI drug design engine and support the company's R&D efforts.

Google recently announced the launch of its new open-source model, TxGemma, designed to significantly improve the efficiency of therapeutic drug development. Developed by the Google DeepMind team, this model is a fine-tuned version of their advanced Gemma model family, incorporating powerful natural language understanding, scientific prediction, and multi-turn dialogue capabilities. TxGemma aims to revolutionize drug discovery. Its release is considered a significant advancement in the application of AI to biomedicine, promising to drastically shorten the time it takes for drugs to move from the lab to clinical trials, while also reducing costs.

Insilico Medicine, a biopharmaceutical company focused on generative artificial intelligence, today announced the successful completion of a $110 million Series E financing round. The round was led by a private equity fund under Value Partners Group (HKG:0806), Pudong New Area Investment, Shanghai Pudong Development Bank Group, Xicheng Capital, and Yixing Guokong. Several new investors focused on the industry and technology sectors also participated, alongside continued support from existing investors.

Insilico Medicine recently announced the closing of a $110 million Series E financing round, led by Value Partners, a Hong Kong-based firm, with participation from existing and new investors. The funds will be used to refine the company's AI models and support pivotal clinical trials for its lead candidate drug in idiopathic pulmonary fibrosis. The company's small molecule inhibitor, ISM001-055, was recently officially named rentosertib by the U.S. Adopted Names Council, marking a significant milestone for this AI-generated drug candidate.

Recently, former DeepMind scientist Simon Kohl announced the establishment of a new artificial intelligence drug discovery company, aiming to leverage his extensive experience in protein prediction, particularly related to the Nobel Prize-winning AlphaFold system. AlphaFold is a revolutionary AI tool that can accurately predict the three-dimensional structure of proteins, a breakthrough that has garnered significant attention in biomedical research. Image source note: Image generated by AI, image licensed service.

On November 26, 2024, Intel successfully held the New Quality Productivity Technology Ecology Conference in Chengdu. During the event, Intel, along with global open-source partners and ecosystem collaborators, discussed key topics such as enterprise open platforms, AI PC open-source projects, and foundational software bases. Tencent App Discovery focused on 'AI Innovation,' sharing the features and future vision of the desktop version of the 'Xiaobao AI Assistant,' and discussing the importance and practical possibilities of intelligent services for user experience across multi-end scenarios. Tencent App Discovery's Technical Director Jiang Chao highlighted during his speech that

Biotech startup Chai Discovery has launched the AI model Chai-1, aimed at predicting molecular structures to aid drug development. This model surpasses Google's DeepMind AlphaFold in accuracy and has been supported by OpenAI and Thrive Capital. Chai-1's free web interface and open-source code encourage non-commercial research. The model excels in predicting various types of molecules, particularly demonstrating unexpected accuracy when data is incomplete, contributing significantly to drug development.

MIT research reveals that AI, particularly chatbots, can implant "false memories" in the human brain. Experiments show that AI can lead volunteers to develop persistent incorrect memories through questioning. Individuals interested in but unfamiliar with AI are more susceptible to this influence. This finding poses challenges for AI applications in law, healthcare, and education, emphasizing the need to ensure AI acts as a tool for protecting and....

New research reveals the potential of large language models (LLMs) to significantly enhance performance through search capabilities, particularly in Python code generation tasks. The Llama3.1 model, with only 800 million parameters, performs comparably to GPT-4o after 100 search iterations. This finding resonates with Rich Sutton's view in 2019 that the integration of general methods and search and learning strategies is crucial in the face of increased computational power. Researchers found that increasing the number of resampling during the reasoning phase can significantly improve the model's performance.

In collaboration with the International Olympic Committee and the Senegal National Olympic Committee, Intel has developed an AI platform that can monitor and evaluate athletes' performances using only smartphone cameras, identifying future Olympic talent. This platform analyzes video clips using computer vision to generate performance statistics, providing evaluators with the basis for talent discovery. In its initial application in Senegal, the platform analyzed over 1,000 children in six villages and identified 40 significantly talented athletes. The International Olympic Committee plans to launch a global project in 2025, leveraging AI technology to discover hidden talents.

YouTube Music is back with a big announcement! Recently, they revealed they are testing two new features: one is an AI-generated conversational radio feature, and the other is a Shazam-like song identification tool. These two new features will undoubtedly make music discovery smarter and more personalized.AI Conversational Radio: Discover Music Through ChatThe AI conversational radio feature of YouTube Music is currently being tested with some Premium users in the United States. Users can create

As the consumption model of digital media continues to evolve, personalized content recommendation has become a key way for users to obtain information. Perplexity Company is keeping up with the trend and is undergoing a major update to its Discover network to meet users' demand for diverse thematic content.The core of this update is the introduction of an expanded list of themes, which will allow users to customize their news sources based on their interests. "This is not just a simple update,"