Europe's most valuable artificial intelligence startup, Mistral, is actively expanding its operations in the United States to compete for AI talent with rivals in Silicon Valley. The Paris-based company is establishing a new office in Palo Alto, California, and is seeking to hire engineers, scientists, and sales teams to drive its growth in the U.S. market. According to insiders, one of Mistral's co-founders, Guillaume Lample, is also involved.

Google recently launched the Health AI Developer Foundation (HAI-DEF), a health AI developer initiative designed to empower developers to efficiently build and implement medical AI models. The goal of this new initiative is to democratize AI development in the healthcare sector, promote innovation, and improve patient care. Unique challenges faced in medical AI development include the demand for large, diverse datasets, the need for expertise in both AI and healthcare, and the complexities of training and deploying these models.

The rapid development of deep learning relies on the scale of datasets, models, and computational power. In the fields of natural language processing and computer vision, researchers have already discovered a power-law relationship between model performance and data scale. However, in the field of robotics, especially in robot manipulation, such scalable patterns have yet to be established. A research team from Tsinghua University recently published a paper exploring data scaling laws in robot imitation learning and proposed an efficient data collection strategy that collected sufficient data in just one afternoon, enabling...

Recently, NVIDIA and Microsoft launched a new initiative aimed at promoting AI innovation in the healthcare sector. This collaboration combines NVIDIA's Inception global program with Microsoft's startup support program, intending to assist more startups in enhancing their medical devices and workflows. Currently, the two companies have hundreds of startups participating in these ecosystems. Note: The image is AI-generated and licensed through Midjourney. Through this collaboration, startups will have easier access to acceleration resources.

Recently, Inflection AI made a notable decision on its latest enterprise platform: to abandon the use of Nvidia GPUs in favor of Intel's Gaudi 3 accelerators. This shift marks a strategic adjustment for the company in the AI space, as its previous 'Pi' customer applications were all based on Nvidia GPUs. Now, Inflection 3.0 will rely on Gaudi 3, allowing users to choose between local or cloud deployment.

Autonomous truck technology company Bot Auto has announced the completion of its Pre-A funding round, raising $20 million. This significant investment will accelerate Bot Auto's development of next-generation autonomous truck technology, focusing on safety and operational efficiency. Bot Auto is based in Houston, Texas, and is led by CEO and Founder Dr. Hao Xiaodi. The company comprises a team of experienced executives from the autonomous vehicle sector and top engineering talent dedicated to development.

Recently, Google DeepMind announced its latest AI system - AlphaChip. This system is dedicated to accelerating and optimizing the development of computer chips, and the chip layouts designed by AlphaChip have already been implemented in Google's AI accelerators. AlphaChip operates similarly to what we have previously heard about AlphaGo and AlphaZero, utilizing reinforcement learning techniques to quickly generate optimized chip layouts. According to Google DeepMi

Tencent Cloud announced a strategic partnership with the S.M.A.R.T Entrepreneurs Association in Singapore, aimed at accelerating the deployment of smart digital humans in the Southeast Asian market. The S.M.A.R.T Entrepreneurs Association focuses on assisting global entrepreneurs and senior management teams in building global intelligent enterprises, achieving business transformation and digital transition, and promoting mutually beneficial international business cooperation.

Intel's 2024 plans are steadily progressing. The company announced that its latest AI accelerator, Gaudi 3, is expected to be officially released next week. Gaudi 3 is hailed as Intel's AI hero, designed to handle large-scale training and inference tasks with unlimited scalability. Intel CEO Pat Gelsinger first previewed this accelerator at last year's 'Intel AI Everywhere' conference. In the subsequent 'Intel Vision 2024' event, Intel reiterated...

Google has recently issued a warning that the UK may fall behind in the global artificial intelligence (AI) race, particularly if the government does not expedite the construction of data centers and ease restrictions on the use of copyrighted works. Google UK’s managing director, Derby Weinstein, stated that while the government recognizes the opportunities in AI, more policies are needed to promote its application. Image Source Note: The image is AI-generated, with authorization from the service provider Midjourney. Weinstein noted that the UK ranks only seventh in the global AI readiness index, which is behind other countries.

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.

The technology company 'Accelerated Evolution', dedicated to humanoid robot research and development, has completed hundreds of millions in pre-A funding, with investors including Bianshi Times, Minyin International, Zhongguancun Science City, and iCANX Fund, along with follow-up investment from Inno Angel. The funds will primarily be used for the development of a general ontology and enhancement of software development capabilities. CEO Cheng Hao pointed out that the AI-driven humanoid robot boom, especially the demand for vehicles of Artificial General Intelligence (AGI), is driving the transition of humanoid robots from specialization to generalization. The company's phase one commercial positioning is to provide developers with general biped robots.

Intel's Gaudi3 AI accelerator chip has found its first cloud computing customer in IBM Cloud, which plans to offer services to customers early next year to support artificial intelligence computing in hybrid and on-premises environments. IBM Cloud will integrate the Gaudi3 chip into its Watsonx AI and data platform to drive the development of new artificial intelligence capabilities. The integration of Gaudi3 with Xeon CPUs will provide cost-effective, secure, and innovative AI computing solutions. Despite facing competition from Nvidia, Intel...

This article outlines the latest developments in the AI inference chip field, particularly the results of the MLPerf Inference v4.1 competition, which gathered the latest chips from companies such as AMD, Google, UntetherAI, Cerebras, FuriosaAI, and Nvidia. Nvidia's H200 and GH200 chips maintain a lead in the 'Data Center Closed' category, but chips from other companies excelled in specific tasks, especially in terms of energy efficiency. AMD's Instinct Accelerator.

OpenAI's Converge2 accelerator program seems to have entered a 'low-profile' phase since opening the second round of applications last December, contrasting sharply with the usual tech industry promotions. The program's operations remain silent, leading to speculation about its progress. In contrast to the earlier Converge1, which was relatively open about its launch and announced its first batch of investments, Converge2 has not disclosed any information about the companies that received funding, even after multiple requests to OpenAI.

As a leader in the AI field, Baidu has made significant achievements in the commercialization of AI technology. The daily call volume of its Wenxin large model exceeds 600 million, increasing more than tenfold in six months, with total revenue reaching 33.9 billion yuan, core revenue at 26.7 billion yuan, and operational profit of 5.6 billion yuan, representing a year-on-year increase of 23%, far exceeding market expectations. Baidu's generative AI and foundational models are changing the world, providing solutions for various industries and creating immense value. The user base of Wenxin Yiyan has surpassed 300 million, processing over 1 trillion tokens of text daily.