DataCI: A Platform for Data-Centric AI on Streaming Data

We introduce DataCI, a comprehensive open-source platform designed specifically for data-centric AI in dynamic streaming data settings. DataCI provides 1) an infrastructure with rich APIs for seamless streaming dataset management, data-centric pipeline development and evaluation on streaming scenarios, 2) an carefully designed versioning control function to track the pipeline lineage, and 3) an intuitive graphical interface for a better interactive user experience. Preliminary studies and demonstrations attest to the easy-to-use and effectiveness of DataCI, highlighting its potential to revolutionize the practice of data-centric AI in streaming data contexts.Comment: 3 pages, 4 figure

Active-Learning-as-a-Service: An Efficient MLOps System for Data-Centric AI

The success of today's AI applications requires not only model training (Model-centric) but also data engineering (Data-centric). In data-centric AI, active learning (AL) plays a vital role, but current AL tools can not perform AL tasks efficiently. To this end, this paper presents an efficient MLOps system for AL, named ALaaS (Active-Learning-as-a-Service). Specifically, ALaaS adopts a server-client architecture to support an AL pipeline and implements stage-level parallelism for high efficiency. Meanwhile, caching and batching techniques are employed to further accelerate the AL process. In addition to efficiency, ALaaS ensures accessibility with the help of the design philosophy of configuration-as-a-service. It also abstracts an AL process to several components and provides rich APIs for advanced users to extend the system to new scenarios. Extensive experiments show that ALaaS outperforms all other baselines in terms of latency and throughput. Further ablation studies demonstrate the effectiveness of our design as well as ALaaS's ease to use. Our code is available at \url{https://github.com/MLSysOps/alaas}.Comment: 8 pages, 7 figure

Three new shuttle vectors for heterologous expression in Zymomonas mobilis

Background: Zymomonas mobilis , as a novel platform for bio-ethanol production, has been attractedmore attention and it is very important to construct vectors for the efficient expression of foreign genes in this bacterium. Results: Three shuttle vectors (pSUZM1, pSUZM2 and pSUZM3)were first constructedwith the origins of replication from the chromosome and two native plasmids (pZZM401 and pZZM402) of Z. mobilis ZM4, respectively. The three shuttle vectorswere stable in Z. mobilis ZM4 and have 3, 32 and 27 copies, respectively. The promoter Ppdc (a), from the pyruvate decarboxylase gene,was cloned into the shuttle vectors, generating the expression vectors pSUZM1(2, 3)a. The codon-optimized glucoamylase gene from Aspergillus awamori combined with the signal peptide sequence from the alkaline phosphatase gene of Z. mobilis was cloned into pSUZM1(2, 3)a, resulting in the plasmids pSUZM1a-GA, pSUZM2a-GA and pSUZM3a-GA, respectively. After transforming these plasmids into Z. mobilis ZM4, the host was endowed with glucoamylase activity for starch hydrolysis. Both pSUZM2a-GA and pSUZM3a-GA were more efficient at producing glucoamylase than pSUZM1a-GA. Conclusions: These results indicated that these expression vectors are useful tools for gene expression in Z. mobilis and this could provide a solid foundation for further studies of heterologous gene expression in Z. mobilis

THE PROBLEM OF THE RELATIONSHIP OF SCIENCE AND RELIGION IN THE SYSTEM OF SECULAR GENERAL EDUCATION

The relationship between science and religion throughout history ranged from opposition to their unity. The long-standing prevalence of theology over science has caused a counter-atheistic reaction, which has grown into the absolutization of science in all spheres of life. The introduction to the secular general education of the course “Fundamentals of Religious Cultures and Secular Ethics” was ambiguously accepted by society. The author substantiates the position that science and religion are not mutually exclusive, but rather can complement each other, forming a unified picture of the world among the younger generation.Взаимоотношения науки и религии на протяжении всей истории выстраивались от противопоставления до их единства. Многолетнее преобладание богословия над наукой вызвало встречную атеистическую реакцию, переросшую в абсолютизацию науки во всех сферах бытия. Введение в светское общее образование курса «Основы религиозных культур и светской этики» было неоднозначно воспринято обществом. Автор обосновывает позицию, что наука и религия не взаимно исключают друг друга, а напротив, могут дополнять друг друга, формируя у подрастающего поколения единую картину мира

Lifelike Agility and Play on Quadrupedal Robots using Reinforcement Learning and Generative Pre-trained Models

Summarizing knowledge from animals and human beings inspires robotic innovations. In this work, we propose a framework for driving legged robots act like real animals with lifelike agility and strategy in complex environments. Inspired by large pre-trained models witnessed with impressive performance in language and image understanding, we introduce the power of advanced deep generative models to produce motor control signals stimulating legged robots to act like real animals. Unlike conventional controllers and end-to-end RL methods that are task-specific, we propose to pre-train generative models over animal motion datasets to preserve expressive knowledge of animal behavior. The pre-trained model holds sufficient primitive-level knowledge yet is environment-agnostic. It is then reused for a successive stage of learning to align with the environments by traversing a number of challenging obstacles that are rarely considered in previous approaches, including creeping through narrow spaces, jumping over hurdles, freerunning over scattered blocks, etc. Finally, a task-specific controller is trained to solve complex downstream tasks by reusing the knowledge from previous stages. Enriching the knowledge regarding each stage does not affect the usage of other levels of knowledge. This flexible framework offers the possibility of continual knowledge accumulation at different levels. We successfully apply the trained multi-level controllers to the MAX robot, a quadrupedal robot developed in-house, to mimic animals, traverse complex obstacles, and play in a designed challenging multi-agent Chase Tag Game, where lifelike agility and strategy emerge on the robots. The present research pushes the frontier of robot control with new insights on reusing multi-level pre-trained knowledge and solving highly complex downstream tasks in the real world