Machine-Learning

Blog share DeepMind has published a paper that applies machine learning to pure mathematics to help mathematicians discover new theories in the field of pure mathematics.The paper focuses on the following two areas. The most fundamental three-dimensional structure in Knot topology. Understanding the three-dimensional structural features of knot allows us to better bridge the gap between quantum field theory, non-Euclidean geometry, quantum mechanics, algebra, and geometry, and to study the relationships between the various branches of mathematics. ...

Competition Predicting high volatility digital currency market prices is difficult, G-Research has launched a contest project on kaggle.com about predicting digital cryptocurrency returns using machine learning, I am going to join the contest, later references and model building about the contest will be updated in that blog board. G-Research Crypto Forecasting

Link HFT Defi Research

Introduction volcano is a kubernets-based container batch engine for high-performance workload scenarios. Application scenarios: machine learning and deep learning biological and genetic computing big data applications Concepts Queue Queue holding a set of podgroups apiVersion: scheduling.volcano.sh/v1beta1 kind: Queue metadata: name: distcc spec: weight: 1 reclaimable: false capability: cpu: 50 field: weight -> The proportion of the queue in the cluster resource division, the proportion of resources occupied by the queue is: (weight / total-weight) * total-resource, soft resource constraint. ...

When I was in high school, I read about iRobot’s sweeping robot in New Science magazine, and I was particularly curious about the fact that there was a disc robot that swept the floor. We can do more meaningful things, such as read more books, get up later in the morning, and book the robot to help us clean our bedroom in advance when we get home at night.