Emerging Technologies Flashcards
Emerging vs Disruptive
Emerging technologies are new or developing technologies that have the potential to significantly impact society, such as AI or blockchain. Disruptive technologies, on the other hand, are innovations that disrupt existing markets and industries, often replacing established technologies or ways of doing things.
Disruptive technologies alter the way businesses and Industeries operate. often leading to the displacement of established market leaders and practices.
Examples of disruptive Technologies
Digital Photography: Disrupted traditional film photography industry by making film cameras obsolete and revolutionizing how photos are taken, stored, and shared.
Smartphones: Disrupted several industries (e.g., cameras, GPS devices, music players) by combining multiple functions into a single device and changing how people communicate and access information.
Streaming Services: Disrupted traditional TV and movie distribution channels by offering on-demand, internet-based content delivery, leading to the decline of cable TV and DVD sales.
E-commerce: Disrupted traditional retail by enabling online shopping, changing the way consumers buy goods and impacting brick-and-mortar stores.
Blockchain: Disrupting industries such as finance, supply chain, and healthcare by offering decentralized, secure, and transparent record-keeping and transaction systems.
These technologies have not only transformed industries but also reshaped consumer behavior and societal norms.
Components of a robot
A typical robot consists of several components that work together to perform various tasks. Some of the key components include:
Sensors: Sensors are used to gather information about the robot’s environment. Common types of sensors include cameras, ultrasonic sensors, infrared sensors, and touch sensors.
Actuators: Actuators are used to control the movement of the robot. This includes motors for moving wheels or limbs, as well as other types of actuators for tasks such as gripping objects.
Control System: The control system is responsible for processing sensor data and determining the appropriate actions for the robot to take. This often includes a microcontroller or microprocessor.
Power Supply: Robots require a power source to operate. This can be a battery, a power cord, or some other type of power supply.
Mechanical Structure: The mechanical structure of a robot includes the physical framework and components that give the robot its shape and allow it to move. This can include wheels, joints, and limbs.
End Effector: The end effector is the part of the robot that interacts with its environment to perform tasks. This can be a gripper for picking up objects, a tool for cutting or welding, or some other type of device.
Communication Interface: Many robots are equipped with communication interfaces that allow them to communicate with other devices or systems. This can include wireless communication protocols such as Wi-Fi or Bluetooth.
IOT
The Internet of Things (IoT) refers to a network of interconnected devices or “things” that can communicate with each other and exchange data over the internet without human intervention. These devices can range from simple sensors and actuators to complex systems like smart appliances, wearable devices, and industrial machines.
current trends of loT
Current Trends:
Edge Computing: With the increasing volume of data generated by IoT devices, edge computing is becoming more prevalent. This involves processing data closer to the source (i.e., the IoT device) rather than relying solely on centralized cloud servers. This trend reduces latency and bandwidth usage while improving privacy and security.
AI and Machine Learning Integration: AI and machine learning are being integrated into IoT systems to improve data analytics and decision-making. These technologies enable IoT devices to learn from data, identify patterns, and make autonomous decisions, enhancing the overall efficiency and effectiveness of IoT systems.
5G Connectivity: The rollout of 5G networks is revolutionizing IoT connectivity by offering faster speeds, lower latency, and increased capacity. 5G enables more devices to connect simultaneously, paving the way for the widespread adoption of IoT in various industries, such as healthcare, transportation, and manufacturing.
Future trends
Future Trends:
IoT Security: As IoT devices become more widespread, ensuring their security becomes increasingly important. Future trends in IoT security may include improved authentication methods, encryption techniques, and secure firmware updates to protect against cyber threats.
Blockchain Integration: Blockchain technology is expected to play a significant role in the future of IoT by providing secure and transparent data transactions. Blockchain can help ensure the integrity and authenticity of data generated by IoT devices, particularly in industries where data accuracy is critical, such as healthcare and supply chain management.
challenges associated with the development and deployment of loT?
Challenges associated with the development and deployment of IoT include:
Security Concerns: IoT devices are often vulnerable to cyber-attacks due to their interconnected nature and lack of robust security measures. Ensuring the security and privacy of data transmitted by IoT devices is a major challenge.
Interoperability: IoT devices from different manufacturers may use different protocols and standards, making it challenging for them to communicate and work together seamlessly. Achieving interoperability is crucial for the widespread adoption of IoT.
Scalability: As the number of connected devices grows, managing and scaling IoT systems becomes increasingly complex. Ensuring that IoT infrastructure can support large-scale deployments is a significant challenge.
Data Management: IoT devices generate vast amounts of data, which can be challenging to manage, store, and analyze. Developing efficient data management strategies is essential for extracting meaningful insights from IoT data.
Privacy Concerns: IoT devices collect a wide range of data about users and their environments, raising concerns about privacy. Ensuring that IoT systems comply with privacy regulations and protect user data is a key challenge.
Power Consumption: Many IoT devices are powered by batteries, which have limited capacity. Optimizing power consumption and ensuring long battery life are important challenges for IoT device developers.
Reliability and Maintenance: IoT devices are often deployed in remote or harsh environments, making reliability and maintenance challenging. Ensuring that devices remain operational and can be maintained easily is crucial for IoT deployments.
