Exploring Generative AI application in the industries

Exploring Generative AI application in the industries

by editor Comment Closed
24th of May 2024, "Sembang AIoT" open up a topic on generative AI on exploring Generative AI application in the industries. The primary focus of the whole live session is about the generative AI and the application of Generative AI in the industries. the session is hosted by Mr. CC Lee at technology trainer and speaker, along with Mr. Tan Kien Leong, the AIoT trainer and solution architect of AIoTmission.In the live session, an old piece of literature on microcomputer system design was referenced to discuss the role of math coprocessors like the Intel 8087 in handling complex calculations, such as multiplication and floating-point operations. Today, a similar reliance is seen in AI, which heavily depends on sophisticated computing, especially for handling floating-point operations. Most GPUs now come equipped with dedicated processors for this purpose. This underscores the importance of specialized processors in performing mathematical calculations, which are crucial for running many AI applications.  A reference design book that was used...
Read More
Smart Supply Chain Management with AIoT

Smart Supply Chain Management with AIoT

by editor Comment Closed
The primary focus of the discussion was on smart supply chain management utilizing AI and IoT. This topic was presented by Mr. CC Lee, our technology trainer and technology public speaker, along with Mr. Tan Kien Leong, the AIoT trainer and solution architect from AIoTmission Sdn Bhd.The Fourth Industrial Revolution (IR4) brings numerous advanced technologies that can significantly enhance smart supply chain management. Key technologies include: Internet of Things (IoT): Smart Sensors: Enable real-time tracking of goods and assets, monitoring conditions like temperature and humidity. RFID Tags: Facilitate automated inventory management and asset tracking. Artificial Intelligence (AI) and Machine Learning (ML): Predictive Analytics: Improve demand forecasting and inventory management. Automated Decision-Making: Enhance supply chain efficiency by optimizing routes, scheduling, and resource allocation. Blockchain: Transparency and Traceability: Provide an immutable record of transactions, ensuring authenticity and reducing fraud. Smart Contracts: Automate and enforce contractual agreements without intermediaries. Big Data Analytics: Data Integration: Combine data from various sources for comprehensive insights. Trend...
Read More
5G for Smart manufacturing

5G for Smart manufacturing

by editor Comment Closed
Welcome everyone to our "Sembang AIoT" live session, where today, on the 10th of May 2024, we delve into the dynamic realm of 5G infrastructure within the sphere of Smart Manufacturing. As the world continues its rapid march towards digitization, the integration of Artificial Intelligence and the Internet of Things (AIoT) into manufacturing processes has become not just a trend but a necessity for staying competitive in today's market. With 5G technology revolutionizing connectivity, the possibilities for enhancing efficiency, productivity, and agility in manufacturing are boundless. In this session, we will explore the transformative potential of 5G infrastructure, its applications, challenges, and the promising future it holds for the manufacturing landscape. So, let's embark on this journey together and uncover the intricacies of 5G in Smart Manufacturing! The picture above show how 5G is able to have its redundant path in avoiding signal breakage due to the obstable.While 5G technology is not an absolute necessity for Smart Manufacturing, its integration can...
Read More
Industrial Robot for Smart Manufacturing

Industrial Robot for Smart Manufacturing

by editor Comment Closed
Industrial Robots for Smart Manufacturing Smart manufacturing integrates advanced technologies, including robotics, to optimize processes, improve efficiency, and enhance flexibility. Several types of robots are utilized in smart manufacturing to achieve these goals. Here are some key types:Industrial Robots: These robots are versatile and programmable machines used for various manufacturing tasks, such as welding, assembly, material handling, and packaging. They are equipped with sensors, vision systems, and sometimes AI algorithms to adapt to changing conditions and interact with other machines or humans.Collaborative Robots (Cobots): Cobots are designed to work alongside humans in a shared workspace safely. They typically feature advanced safety features and are used for tasks that require close collaboration between humans and machines, such as assembly, inspection, and testing.Mobile Robots: Mobile robots, including Automated Guided Vehicles (AGVs) and Autonomous Mobile Robots (AMRs), navigate autonomously within a manufacturing facility to transport materials, components, or finished products between different locations. They optimize logistics processes and increase flexibility in material handling.3D Printing...
Read More
Understanding Data Security for Digital Transformation

Understanding Data Security for Digital Transformation

by editor Comment Closed
What are challenges in digital transformation in the building of smart manufacturing.The digital transformation in manufacturing brings numerous benefits, but it also presents significant challenges to data security. Here are some key challenges: Increased Attack Surface: As manufacturing processes become more interconnected through digital technologies like IoT devices, cloud computing, and automation systems, the attack surface for potential cyber threats expands. Each new endpoint or connection represents a potential entry point for attackers.Complexity of Systems: Modern manufacturing facilities often comprise a complex ecosystem of interconnected systems and devices, including legacy equipment that may not have been designed with security in mind. Managing the security of such a complex environment can be challenging.Data Protection: Manufacturing involves the collection and processing of sensitive data, including intellectual property, trade secrets, and personally identifiable information (PII). Ensuring the confidentiality, integrity, and availability of this data is crucial to protecting business interests and complying with regulations.Supply Chain Risks: Manufacturers often rely on extensive supply chains involving...
Read More

Utilizing AIoT to enhance Digital Twin capabilities

by editor Comment Closed
How does AI and IoT facilitate the Digital Twin modeling? How well the Digital Twin is able to help the industries in cost reduction? Above the main topic in the discussion in the live session recently help by AIoTmission.What exactly is the Digital Twin? Imagine having an imaginary friend who's exactly like you, knows everything you know, and does everything you do—but they live in a magical world inside a computer. That's kind of what a digital twin is for things like machines or buildings! It's a virtual copy that looks and behaves just like the real thing, and it helps us understand how the real thing works and how we can make it better. So, engineers and scientists use digital twins to explore ideas, test out changes, and even predict what might happen in the real world without having to actually touch or change the real thing. It's like having a secret double that helps you understand and improve stuff without...
Read More

Reduce downtime with AIoT predictive analytic

by cclee Comment Closed
The manufacturer's potential losses due to unplanned downtime and possible solutions to mitigate them were the central topics discussed during the live sharing session on April 12, 2024, in the "Sembang AIoT" live talk hosted by AIoTmission and Axiomtek Malaysia.Below are some of the potential losses:Production Losses: The most immediate impact is the loss of production output during the downtime period. This directly affects the ability to fulfill orders and meet customer demand, potentially leading to missed sales opportunities and dissatisfied customers.Revenue Losses: With decreased production comes reduced revenue. The longer the downtime persists, the greater the financial impact on the manufacturer's bottom line.Wasted Materials: During downtime, raw materials may sit unused or partially processed, leading to wasted resources and increased material costs.Labor Costs: Even though production may halt during downtime, labor costs often continue as employees may still need to be paid despite not actively working on production tasks.Overtime and Recovery Costs: Once production resumes, manufacturers may need to...
Read More

Energizing Smart Manufacturing with AI Data Analytic

by editor Comment Closed
Energizing Smart Manufacturing with AI Data analytic A live session in April presented by AIoTmission AIoT Team began with a discussion on how to energize smart Manufacturing with AI Data Analytics. Data analytics plays a crucial role in smart manufacturing for several reasons:Optimizing Processes: Data analytics allows manufacturers to collect, process, and analyze large amounts of data from various sources within the manufacturing process. This enables them to identify inefficiencies, bottlenecks, and areas for improvement, leading to optimized processes and increased productivity.Predictive Maintenance: By analyzing data from sensors embedded in machinery and equipment, manufacturers can predict when maintenance is needed before a breakdown occurs. This proactive approach reduces downtime, lowers maintenance costs, and extends the lifespan of machinery.Quality Control: Analyzing data from production processes can help identify defects or anomalies in real-time, allowing manufacturers to take corrective action immediately. This ensures that products meet quality standards and reduces the likelihood of defects reaching customers.Supply Chain Optimization: Data analytics can provide insights...
Read More

Fog computing vs Cloud Computing

by editor Comment Closed
Fog computing Vs Cloud The recent live session, held on March 29th, delved into the comparison between Fog computing and Cloud computing. A dedicated team from AIoTmission highlighted the significance of the fog computing layer within the Edge-to-Cloud computing architecture.In typical AI and IoT architecture diagrams, the Fog computing layer often remains inconspicuous. This is primarily because fog computing devices or systems are typically integrated into the existing infrastructure, with the exception of new features like data analytics, which are more apparent due to advancements in AI technology.The key differences among Edge, Fog, and Cloud computing were discussed during the session. Additionally, the main role of Fog computing in enhancing both edge and cloud computing was examined in detail.These topics were thoroughly explored in episode 42 of the "Sembang AIoT" series.Edge, Fog, and Cloud computing are three distinct paradigms in the realm of distributed computing, each serving unique purposes and offering specific advantages. Here are the main differences between them:Location...
Read More

Industry 3.0 to 4.0 standardization with AIoT

by editor Comment Closed
Industrial transformation with AIoT During our live session on March 22nd, 2024, hosted by AioTmission, the focus was on the potential commoditization or monetization of datasets. As data increasingly drives decision-making processes to enhance efficiency and predictability with AI, standardizing the dataspace becomes imperative.Transitioning from Industry 3.0 to 4.0 necessitates a standardized framework to facilitate a smooth transformation, ensuring manageability throughout the process.There is this standard framework in the transformation, the ISA-95.ISA-95, or the International Society of Automation Standard 95, is a widely recognized standard in the realm of manufacturing and automation. It provides guidelines for integrating enterprise and control systems in industrial environments. Originally developed in the 1990s, ISA-95 has been instrumental in defining the interface between enterprise resource planning (ERP) systems and manufacturing execution systems (MES) or even SCADA ( supervisory control and Data acquisition).In the context of the transition from Industry 3.0 to Industry 4.0, ISA-95 plays a crucial role in facilitating interoperability and data exchange between different...
Read More