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As of my last knowledge update in January 2022, I can provide some trends and areas of interest within computer science and technology.

Keep in mind that technology evolves rapidly, and new advancements may have occurred since then. Here are some areas that were gaining prominence: 

Artificial Intelligence and Machine Learning:  Advancements in AI and ML continue to drive innovations across various industries, including natural language processing, computer vision, and reinforcement learning.

Quantum Computing:  Quantum computing research is progressing, with efforts to build more stable and scalable quantum computers. Quantum algorithms and applications are being explored.

Edge Computing:  Edge computing involves processing data closer to the source of generation, reducing latency and improving efficiency. This is particularly important for applications like IoT devices.

5G Technology:  The rollout of 5G networks brings faster and more reliable wireless communication, enabling new possibilities for mobile applications, IoT, and other connected technologies.

Blockchain and Cryptocurrency:  Blockchain technology is being used beyond cryptocurrencies for applications like secure transactions, supply chain management, and decentralized finance (DeFi).

Cybersecurity:  With the increasing frequency and sophistication of cyber threats, cybersecurity remains a critical area of focus. AI is also being employed to enhance threat detection and response.

Augmented Reality (AR) and Virtual Reality (VR):  AR and VR technologies are being used in gaming, education, healthcare, and various industries to create immersive and interactive experiences. Biotechnology and Bioinformatics: 

Computational methods are increasingly being applied to analyze biological data, aiding in genomics research, drug discovery, and personalized medicine.

Human-Computer Interaction (HCI):  Advancements in HCI include gesture recognition, voice interfaces, and other technologies aimed at creating more natural and intuitive interactions between humans and computers.

Robotics:  Robotics is evolving with developments in robotic automation, collaborative robots (cobots), and the integration of AI for more intelligent and adaptable robotic systems.

Natural Language Processing (NLP):  NLP is advancing, leading to improvements in language understanding, translation, and chatbot capabilities.

Data Science and Big Data:  The field of data science continues to grow, with a focus on extracting meaningful insights from large and complex datasets.

Big Data technologies and tools are constantly evolving. Please note that these trends are based on information available up to January 2022, and there may have been new developments in the field of computer science and technology since then.