2024.12.3master

docs-site/website/blog/2024-03-15-v4-2-0.md

@@ -0,0 +1,24 @@
+---
+title: Release Version 4.2.0
+author: Apache SINGA
+authorURL: https://twitter.com/ApacheSINGA
+---
+
+<!--- Licensed to the Apache Software Foundation (ASF) under one or more contributor license agreements.  See the NOTICE file distributed with this work for additional information regarding copyright ownership.  The ASF licenses this file to you under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License.  You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.  See the License for the specific language governing permissions and limitations under the License.  -->
+
+Apache SINGA V4.2.0 is released on March 15, 2024. There are six major features added in this release.
+
+- Add support for deep learning models running on top of PolarDB, including efficient model selection, dynamic model creation, flexible training configurations, and optimization of in-database analytics for scalability and efficiency.
+
+- Introduce a new horizontal federated learning example using the Bank dataset.
+
+- Enhance examples with sample training data for model selection testing.
+
+- Update the website by refining the star button on the main page and the display of star statistics.
+
+- Update the Python versions for wheel files.
+
+- Fix bugs by addressing the rat check files and updating the license files.
+
+Please check the overview page and detailed guides.
+

docs-site/website/blog/2024-06-22-sigmod-systems-award.md

@@ -0,0 +1,16 @@
+---
+author:Apache SINGA
+authorURL:https://twitter.com/ApacheSINGA
+title:APACHE SINGA -- 2024 SIGMOD Systems Award
+---
+
+Apache SINGA received the 2024 SIGMOD Systems Award, which is awarded to an individual or set of individuals to recognize the development of a software or hardware system whose technical contributions have had significant impact on the theory or practice of large-scale data management systems:
+
+> The SIGMOD 2024 system award goes to Apache SINGA: 
+> "A Distributed Deep Learning System, for the development of a distributed, efficient, scalable, and easy-to-use deep learning platform for large scale data analytics."
+
+![snapshot11](assets/as20240622.jpg)
+
+> Official Release from ACM SIGMOD: https://sigmod.org/sigmod-awards/sigmod-systems-award/
+
+The SINGA team received the award at the 2024 ACM SIGMOD/PODS Conference held in Santiago, Chile from June 9 to 14, 2024.

docs-site/website/blog/2024-12-3-healthcare-model-zoo.md

@@ -0,0 +1,17 @@
+---
+title: SINGA Launches Model Zoo to Support Healthcare Applications
+author: Apache SINGA
+authorURL: https://twitter.com/ApacheSINGA
+---
+
+<!--- Licensed to the Apache Software Foundation (ASF) under one or more contributor license agreements.  See the NOTICE file distributed with this work for additional information regarding copyright ownership.  The ASF licenses this file to you under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License.  You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.  See the License for the specific language governing permissions and limitations under the License.  -->
+
+The SINGA team is excited to announce the launch of the Healthcare Model Zoo, a repository of different deep-learning models designed to advance the landscape of healthcare applications. This embodies SINGA's commitment to harnessing artificial intelligence to foster improvements in personalized healthcare.
+
+The Model Zoo currently publishes curated models for diabetic retinopathy classification, malaria detection, and thyroid eye disease detection. Each model addresses significant health concerns and is crafted to assist healthcare professionals in improving diagnostic accuracy and patient outcomes.
+
+> More details are available here: https://github.com/apache/singa/tree/dev-postgresql/examples/healthcare/application
+
+As more healthcare models are being developed, the team is actively inviting developers and researchers to help grow this emerging repository of models. We look forward to hearing your feedback, suggestions, and contributions to enrich the healthcare model zoo!
+
+![singa-banner](assets/singa_banner.jpg)