Java Comments | Java course
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Java comments are non-executable statements used to describe code and temporarily hide it. There are three types of comments: single line, multi line, and documentation comments. Each type serves a specific purpose, such as commenting a single line, multiple lines, or generating API documentation.
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These systems are critical in reducing electricity usage, lowering greenhouse gas emissions, and
promoting eco-friendly technologies in residential and commercial sectors. With advancements in
compressor control, refrigerant efficiency, and smart energy management, DC inverter air conditioners
have become a benchmark in sustainable climate control solutions
High Availability On-Premises FME Flow.pdf
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Providing an OGC API Processes REST Interface for FME Flow
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Oracle Cloud Infrastructure Generative AI Professional
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FME for Distribution & Transmission Integrity Management Program (DIMP & TIMP)
FME for Distribution & Transmission Integrity Management Program (DIMP & TIMP)Safe Software Peoples Gas in Chicago, IL has changed to a new Distribution & Transmission Integrity Management Program (DIMP & TIMP) software provider in recent years. In order to successfully deploy the new software we have created a series of ETL processes using FME Form to transform our gas facility data to meet the required DIMP & TIMP data specifications. This presentation will provide an overview of how we used FME to transform data from ESRI’s Utility Network and several other internal and external sources to meet the strict data specifications for the DIMP and TIMP software solutions.
FIDO Seminar: Authentication for a Billion Consumers - Amazon.pptx
FIDO Seminar: Authentication for a Billion Consumers - Amazon.pptxFIDO Alliance FIDO Seminar: Authentication for a Billion Consumers - Amazon
June Patch Tuesday
June Patch TuesdayIvanti Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Your startup on AWS - How to architect and maintain a Lean and Mean account J...
Your startup on AWS - How to architect and maintain a Lean and Mean account J...angelo60207 Prevent infrastructure costs from becoming a significant line item on your startup’s budget! Serial entrepreneur and software architect Angelo Mandato will share his experience with AWS Activate (startup credits from AWS) and knowledge on how to architect a lean and mean AWS account ideal for budget minded and bootstrapped startups. In this session you will learn how to manage a production ready AWS account capable of scaling as your startup grows for less than $100/month before credits. We will discuss AWS Budgets, Cost Explorer, architect priorities, and the importance of having flexible, optimized Infrastructure as Code. We will wrap everything up discussing opportunities where to save with AWS services such as S3, EC2, Load Balancers, Lambda Functions, RDS, and many others.
Scaling GenAI Inference From Prototype to Production: Real-World Lessons in S...
Scaling GenAI Inference From Prototype to Production: Real-World Lessons in S...Anish Kumar Presented by: Anish Kumar
LinkedIn: https://www.linkedin.com/in/anishkumar/
This lightning talk dives into real-world GenAI projects that scaled from prototype to production using Databricks’ fully managed tools. Facing cost and time constraints, we leveraged four key Databricks features—Workflows, Model Serving, Serverless Compute, and Notebooks—to build an AI inference pipeline processing millions of documents (text and audiobooks).
This approach enables rapid experimentation, easy tuning of GenAI prompts and compute settings, seamless data iteration and efficient quality testing—allowing Data Scientists and Engineers to collaborate effectively. Learn how to design modular, parameterized notebooks that run concurrently, manage dependencies and accelerate AI-driven insights.
Whether you're optimizing AI inference, automating complex data workflows or architecting next-gen serverless AI systems, this session delivers actionable strategies to maximize performance while keeping costs low.
Kubernetes Security Act Now Before It’s Too Late
Kubernetes Security Act Now Before It’s Too LateMichael Furman In today's cloud-native landscape, Kubernetes has become the de facto standard for orchestrating containerized applications, but its inherent complexity introduces unique security challenges. Are you one YAML away from disaster?
This presentation, "Kubernetes Security: Act Now Before It’s Too Late," is your essential guide to understanding and mitigating the critical security risks within your Kubernetes environments. This presentation dives deep into the OWASP Kubernetes Top Ten, providing actionable insights to harden your clusters.
We will cover:
The fundamental architecture of Kubernetes and why its security is paramount.
In-depth strategies for protecting your Kubernetes Control Plane, including kube-apiserver and etcd.
Crucial best practices for securing your workloads and nodes, covering topics like privileged containers, root filesystem security, and the essential role of Pod Security Admission.
Don't wait for a breach. Learn how to identify, prevent, and respond to Kubernetes security threats effectively.
It's time to act now before it's too late!
“Why It’s Critical to Have an Integrated Development Methodology for Edge AI,...
“Why It’s Critical to Have an Integrated Development Methodology for Edge AI,...Edge AI and Vision Alliance For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2025/06/why-its-critical-to-have-an-integrated-development-methodology-for-edge-ai-a-presentation-from-lattice-semiconductor/
Sreepada Hegade, Director of ML Systems and Software at Lattice Semiconductor, presents the “Why It’s Critical to Have an Integrated Development Methodology for Edge AI” tutorial at the May 2025 Embedded Vision Summit.
The deployment of neural networks near sensors brings well-known advantages such as lower latency, privacy and reduced overall system cost—but also brings significant challenges that complicate development. These challenges can be addressed effectively by choosing the right solution and design methodology. The low-power FPGAs from Lattice are well poised to enable efficient edge implementation of models, while Lattice’s proven development methodology helps to mitigate the challenges and risks associated with edge model deployment.
In this presentation, Hegade explains the importance of an integrated framework that tightly consolidates different aspects of edge AI development, including training, quantization of networks for edge deployment, integration with sensors and inferencing. He also illustrates how Lattice’s simplified tool flow helps to achieve the best trade-off between power, performance and efficiency using low-power FPGAs for edge deployment of various AI workloads.
“Addressing Evolving AI Model Challenges Through Memory and Storage,” a Prese...
“Addressing Evolving AI Model Challenges Through Memory and Storage,” a Prese...Edge AI and Vision Alliance For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2025/06/addressing-evolving-ai-model-challenges-through-memory-and-storage-a-presentation-from-micron/
Wil Florentino, Senior Segment Marketing Manager at Micron, presents the “Addressing Evolving AI Model Challenges Through Memory and Storage” tutorial at the May 2025 Embedded Vision Summit.
In the fast-changing world of artificial intelligence, the industry is deploying more AI compute at the edge. But the growing diversity and data footprint of transformers and models such as large language models and large multimodal models puts a spotlight on memory performance and data storage capacity as key bottlenecks. Enabling the full potential of AI in industries such as manufacturing, automotive, robotics and transportation will require us to find efficient ways to deploy this new generation of complex models.
In this presentation, Florentino explores how memory and storage are responding to this need and solving complex issues in the AI market. He examines the storage capacity and memory bandwidth requirements of edge AI use cases ranging from tiny devices with severe cost and power constraints to edge servers, and he explains how new memory technologies such as LPDDR5, LPCAMM2 and multi-port SSDs are helping system developers to meet these challenges.
Enabling BIM / GIS integrations with Other Systems with FME
Enabling BIM / GIS integrations with Other Systems with FMESafe Software Jacobs has successfully utilized FME to tackle the complexities of integrating diverse data sources in a confidential $1 billion campus improvement project. The project aimed to create a comprehensive digital twin by merging Building Information Modeling (BIM) data, Construction Operations Building Information Exchange (COBie) data, and various other data sources into a unified Geographic Information System (GIS) platform. The challenge lay in the disparate nature of these data sources, which were siloed and incompatible with each other, hindering efficient data management and decision-making processes.
To address this, Jacobs leveraged FME to automate the extraction, transformation, and loading (ETL) of data between ArcGIS Indoors and IBM Maximo. This process ensured accurate transfer of maintainable asset and work order data, creating a comprehensive 2D and 3D representation of the campus for Facility Management. FME's server capabilities enabled real-time updates and synchronization between ArcGIS Indoors and Maximo, facilitating automatic updates of asset information and work orders. Additionally, Survey123 forms allowed field personnel to capture and submit data directly from their mobile devices, triggering FME workflows via webhooks for real-time data updates. This seamless integration has significantly enhanced data management, improved decision-making processes, and ensured data consistency across the project lifecycle.
Can We Use Rust to Develop Extensions for PostgreSQL? (POSETTE: An Event for ...
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“Why It’s Critical to Have an Integrated Development Methodology for Edge AI,...
“Why It’s Critical to Have an Integrated Development Methodology for Edge AI,...Edge AI and Vision Alliance
“Addressing Evolving AI Model Challenges Through Memory and Storage,” a Prese...
“Addressing Evolving AI Model Challenges Through Memory and Storage,” a Prese...Edge AI and Vision Alliance
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Java Comments | Java course
- 2. Java Comments ● Java comments are statements that are not executed by the compiler and interpreter. ● The comments can be used to provide information about each line of code. ● It can also be used to hide program code for specific time.
- 3. Java Comments Types - Single Line Comment ● The single line comment is used to comment only one line. ● //This is single line comment
- 4. Java Comments Types - Multi Line Comment ● The multi line comment is used to comment multiple lines of code. /* This is multi line comment */
- 5. Java Comments Types - Documentation Comment ● The documentation comment is used to create documentation API. /** This is documentation comment */