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- A team from the Institute of Computing Technology of the Chinese Academy of Sciences proposed CarbonNovo, an AI-based end-to-end de novo design of protein structures and sequences.
- Editor | ScienceAI author | Zhang Haicang team of the Institute of Computing Technology Recently, a research team led by Zhang Haicang of the Institute of Computing Technology of the Chinese Academy of Sciences proposed CarbonNovo to jointly design protein backbone structures and sequences in an end-to-end manner. The research was published at the machine learning conference ICML2024 under the title "CarbonNovo:JointDesignofProteinStructureandSequenceUsingaUnifiedEnergy-basedModel". Background Introduction Proteins are important macromolecules that perform biological functions. De novo protein design aims to create entirely new proteins and has broad applications in drug development and enzyme engineering. In recent years, basic
- AI 585 2024-08-21 21:09:32
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- The first mechanical claw! Yuanluobao appeared at the 2024 World Robot Conference and released the first chess robot that can enter the home
- On August 21, the 2024 World Robot Conference was grandly held in Beijing. SenseTime's home robot brand "Yuanluobot SenseRobot" has unveiled its entire family of products, and recently released the Yuanluobot AI chess-playing robot - Chess Professional Edition (hereinafter referred to as "Yuanluobot SenseRobot"), becoming the world's first A chess robot for the home. As the third chess-playing robot product of Yuanluobo, the new Guoxiang robot has undergone a large number of special technical upgrades and innovations in AI and engineering machinery. For the first time, it has realized the ability to pick up three-dimensional chess pieces through mechanical claws on a home robot, and perform human-machine Functions such as chess playing, everyone playing chess, notation review, etc.
- AI 976 2024-08-21 19:33:36
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- The world's first and exclusive to Denza! BYD's new black technology Yi Sanfang is officially released, reshaping the benchmark for new energy luxury technology
- On August 20, e³|Yisanfang Intelligent Technology was fully launched - the 2024 DENZA Automotive Technology Day and the DENZA Z9GT pre-sale conference were successfully held. DENZA's new exclusive technology "Yisanfang" was shockingly released, and DENZA Z9GT was launched for the first time in the world. . As the world's first vehicle intelligent control technology platform, Yisanfang redefines the new energy luxury technology benchmark with its new intelligent and electronic integration technology. Denza Z9GT and Denza Z9 dual flagships have officially started pre-sale, with the pre-sale price range ranging from 339,800 yuan to 419,800 yuan. They take into account ultimate performance and luxurious luxury, setting a new benchmark for new energy GT with the strength of the pioneer, leading the way Luxury GT enters the new energy era! Tailored for Denza, BYD is another new breakthrough in vehicle intelligence. Vehicle intelligence is truly intelligent. As a luxury brand in the new energy era,
- AI 444 2024-08-21 13:46:00
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- PICO launches MR mixed reality all-in-one machine PICO 4 Ultra to provide users with a new experience
- On August 20, 2024, PICO held a new product communication meeting in Beijing and officially launched its first MR mixed reality all-in-one machine, PICO4Ultra. The launch of PICO4Ultra marks PICO's new breakthrough in the field of MR technology, bringing users a richer and more personalized mixed reality experience. At the hardware level, PICO4Ultra is equipped with the new Qualcomm Snapdragon® At the system level, PICO4Ultra introduces a panoramic screen workbench, allowing users to open and arrange multiple
- AI 491 2024-08-21 13:43:20
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- Registration for ByteDance's 2024 scholarship program starts! 100,000 per person to help scientific research for the future!
- Click this link to download the scholarship application form (it is recommended to open it on PC)
- AI 933 2024-08-20 16:54:44
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- Mi Kuai AI: The leading startup company in the AI animation track recruits AI algorithm interns/engineers
- 01 Company Vision Miguo AI (miguo.ai) is a Shanghai start-up company with great potential. The founding team comes from Bilibili and Shanghai Jiao Tong University. It combines industry, academia and research, and has a clear business model. It is committed to solving comics and animation problems through AI technology. The company's goal is to become the world's largest AI animation platform by reducing the production capacity and output pain points, reducing the creation threshold and production costs, and improving the creator ecology. 02 Founding team founder Ding Li, former vice president of Bilibili, former CEO of Bilibili Comics, and co-founder of Huya Live. Co-founder Chen Dazhi has 12 years of experience in the field of venture capital, focusing on investment and business research in the cultural and technology industries. Currently responsible for the company's strategic planning, financing and cooperative ecological construction. Technical partner Niu Li (ustcnewl
- AI 152 2024-08-20 16:44:59
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- Tesla hires 'motion capture artist' to train humanoid robot Optimus, earning up to $48 an hour
- The data for embodied intelligence comes from here. Tomorrow, the annual World Robot Conference will kick off again! Recently, many domestic robot companies have released new products, such as the second-generation humanoid robot from Zhihuijun’s “Zhiyuan Robot” company and the new-generation AI robot assistant Astribot S1 released by Stardust Intelligent. Abroad, Tesla also has new news on the training of its humanoid robot Optimus. The company is recruiting people to don motion-capture suits to imitate intended movements to get the massive amounts of data it needs to train the robots. Tesla defines such people on its job site as "data collection operators," whose primary goals are to collect data, assist with engineering requests and report equipment feedback. It is understood that the hourly salary for this position can be up to 48
- AI 464 2024-08-20 16:42:26
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- Zhejiang University Li Xi's team: A new method for referring to expression understanding, ScanFormer iterates from coarse to fine to eliminate visual redundancy
- The AIxiv column is a column where this site publishes academic and technical content. In the past few years, the AIxiv column of this site has received more than 2,000 reports, covering top laboratories from major universities and companies around the world, effectively promoting academic exchanges and dissemination. If you have excellent work that you want to share, please feel free to contribute or contact us for reporting. Submission email: liyazhou@jiqizhixin.com; zhaoyunfeng@jiqizhixin.com The authors of this paper are all from the team of Professor Li Xi of Zhejiang University. The first author of the paper is doctoral student Su Wei, and the corresponding author is Professor Li Xi (IETFellow, National Distinguished Young Scholar) ). Professor Li Xi’s team has published in authoritative international journals (such as TPAMI, IJC
- AI 180 2024-08-20 16:35:49
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- AI designs protein 'switches' from scratch, an amazing breakthrough in protein design, David Baker's research is published in Nature
- Editor | KX In life, it's easy to turn on a lamp or adjust the lighting. But systems that achieve similar control of biomolecular functions are complex and poorly understood. In biology, protein functions are turned on and off in complex ways, and allosteric regulation is one of the important biological regulatory mechanisms that is essential for healthy metabolism and cell signaling. But creating allostery in synthetic protein systems has always presented significant challenges. Recently, David Baker's team at the University of Washington designed a protein that can switch between assembly and disassembly reliably and accurately through allosteric control. The researchers used AI to design new proteins that do not exist in nature and designed a variety of dynamic protein arrangements. David Baker said:
- AI 495 2024-08-20 13:41:30
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- 'Reconstructing the Future, Industrial Intelligence Leap' 2023 Large Model Industry Frontier Forum is about to open!
- 2023 is the turning point of the artificial intelligence technology revolution and an important engine for a new round of technological innovation and industrial upgrading. Standing at the beginning of the intelligent era opened by the AI large model, a new round of scientific and technological revolution and industrial transformation are evolving in depth. The digital business era driven by digital productivity is bursting with unprecedented development opportunities. On November 23, the 2023 Large Model Industry Frontier Forum, co-sponsored by Zhongguancun Science and Technology, the Artificial Intelligence Innovation Center of China Academy of Information and Communications Technology, and the Key Laboratory of Artificial Intelligence Key Technology and Application Evaluation of the Ministry of Industry and Information Technology, will be held at Park Plaza Hotel in Beijing. Official opening. The theme of this forum is "Reconstructing the Future, Industrial Intelligent Transformation". Representatives from all walks of life from industry, academia, research and investment will focus on "large model industry upgrading".
- AI 498 2024-08-19 18:33:13
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- Why didn't I know when I was learning line generation: There is an equivalence relationship between matrices and graphs?
- The matrix is difficult to understand, but it may be different if you look at it from another perspective. When learning mathematics, we are often frustrated by the difficulty and abstractness of the knowledge we learn; but sometimes, just by changing the perspective, we can find a simple and intuitive solution to the problem. For example, when we were learning the formula for the sum of squares (a+b)² when we were children, we may not understand why it is equal to a²+2ab+b². We only knew that it was written like this in the book and the teacher asked us to remember it like this; until one day we saw I saw this animated picture: It suddenly dawned on me that we can understand it from a geometric perspective! Now, this sense of enlightenment occurs again: a non-negative matrix can be equivalently converted into the corresponding directed graph! As shown in the figure below, the 3×3 matrix on the left can actually be
- AI 311 2024-08-19 16:52:48
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- The first large UI model in China is released! Motiff's large model creates the best assistant for designers and optimizes UI design workflow
- Artificial intelligence is developing faster than you might imagine. Since GPT-4 introduced multimodal technology into the public eye, multimodal large models have entered a stage of rapid development, gradually shifting from pure model research and development to exploration and application in vertical fields, and are deeply integrated with all walks of life. In the field of interface interaction, international technology giants such as Google and Apple have invested in the research and development of large multi-modal UI models, which is regarded as the only way forward for the mobile phone AI revolution. In this context, the first large-scale UI model in China was born. On August 17, at the IXDC2024 International Experience Design Conference, Motiff, a design tool in the AI era, launched its independently developed UI multi-modal model - Motiff Model. This is the world's first UI design tool
- AI 713 2024-08-19 16:48:06
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- Nature sub-journal, Shanghai Institute of Technology, Fudan University, and China Meteorological Administration develop sub-seasonal AI large model 'Fuxi' to break through the 'predictability desert'
- 1. Editor | Author of ScienceAI | Fuxi Team The "Outline for High-quality Meteorological Development (2022-2035)" issued by the State Council clearly states that it is necessary to "forecast major weather processes one month in advance," and this is inseparable from sub-seasonal climate of more than 15 days. Forecasting technology. Subseasonal climate prediction focuses on climate anomalies in the next 15 to 60 days, which can provide important support for production arrangements in agriculture, water conservancy, energy and other fields. Compared with short- and medium-term weather forecasts with a validity period of less than two weeks, sub-seasonal climate forecasts have greater uncertainty. It not only needs to consider the initial value problem, but also consider the impact of boundary forcing. The prediction sources are more complex and the prediction skills are less. Therefore, subseasonal climate prediction has been called a “predictability desert” and even
- AI 315 2024-08-19 16:39:02
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- Game Changer for robot strategy learning? Berkeley proposes Body Transformer
- In the past few years, the Transformer architecture has achieved great success, and it has also spawned a large number of variants, such as VisionTransformer (ViT), which is good at handling visual tasks. The BodyTransformer (BoT) introduced in this article is a Transformer variant that is very suitable for robot strategy learning. We know that when a physical agent performs correction and stabilization of actions, it often gives a spatial response based on the location of the external stimulus it feels. For example, human response circuits to these stimuli are located at the level of spinal neural circuits, and they are specifically responsible for the response of a single actuator. Corrective local execution is the main factor for efficient movement, especially for robots.
- AI 798 2024-08-19 16:35:03
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- One article to understand Mamba, the strongest competitor of Transformer
- Although Mamba is good, its development is still early. There are many deep learning architectures, but the most successful one in recent years is Transformer, which has established its dominance in multiple application fields. A key driver of such success is the attention mechanism, which allows Transformer-based models to focus on relevant parts of the input sequence to achieve better context understanding. However, the disadvantage of the attention mechanism is that the computational overhead is high, which increases quadratically with the input size, making it difficult to process very long texts. Fortunately, a new architecture with great potential was born some time ago: the structured state space sequence model (SSM). This architecture can efficiently capture complex dependencies in sequence data and thus becomes Transforme
- AI 143 2024-08-19 16:33:34