2025 Computer Science Predictions

Updated: February 24, 2025

LaurieWired


Summary

The video delves into the challenges and a forward-thinking approach to predicting the future of computer science in 2025. It explores advancements in the RISC-V space, the adoption of quantum-resistant cryptographic algorithms, and the shift to memory-safe languages to enhance application security. Additionally, it discusses trends in programming languages like Rust and emerging languages like Zig, the introduction of advanced streaming codecs for HD and 4K content, and the rise of AI upscaling in video content creation. The video also touches on the risks of supply chain attacks, the importance of software bill of materials (SBOM) for security, and the need for proactive vulnerability mitigation measures.


Predictions for Computer Science in 2025

Discussing the challenges of making predictions and proposing a forward-thinking approach to predicting the future of computer science in 2025.

RISC-V Space Developments

Exploring the advancements and changes expected in the RISC-V space by predicting increased demand for RISC-V, growth in Linux distributions supporting it, and potential improvements in capabilities.

Cryptography Trends

Predicting the adoption of quantum-resistant cryptographic algorithms due to the increasing threat of quantum computers and the need for enhanced security measures.

Memory Safety in Programming

Discussing the shift towards memory-safe languages for new codebases to improve application security, despite challenges in transitioning legacy code written in languages like C++.

Programming Language Trends

Analyzing the popularity of programming languages like Rust, predicting trends based on metrics like Stack Overflow activity, and comparing the potential decline of Rust with emerging languages like Zig.

Streaming Technology Evolution

Predicting the introduction of advanced streaming codecs for HD and 4K content, potential adoption by major vendors, and the impact of AI upscaling on content quality.

AI Upscaling and Content Generation

Forecasting the rise of AI upscaling in video content, increased use of AI-generated images and music, and the implications for content creation and copyright issues.

Supply Chain Attacks and Security Measures

Discussing the risks of supply chain attacks, the importance of software bill of materials (SBOM) for security, and the need for proactive measures to mitigate vulnerabilities in dependencies.


FAQ

Q: What advancements and changes are expected in the RISC-V space by 2025?

A: Increased demand for RISC-V, growth in Linux distributions supporting it, and potential improvements in capabilities are expected.

Q: Why is the adoption of quantum-resistant cryptographic algorithms predicted?

A: Due to the increasing threat of quantum computers and the need for enhanced security measures.

Q: What is the shift towards memory-safe languages for new codebases aimed at?

A: The shift is aimed at improving application security, despite challenges in transitioning legacy code written in languages like C++.

Q: What trends are being predicted for programming languages like Rust?

A: Trends in Rust are being predicted based on metrics like Stack Overflow activity, and there is a comparison with emerging languages like Zig.

Q: What is forecasted regarding advanced streaming codecs for HD and 4K content?

A: The introduction of advanced streaming codecs, potential adoption by major vendors, and the impact of AI upscaling on content quality are forecasted.

Q: What changes are expected in the realm of video content creation due to AI advancements?

A: The rise of AI upscaling in video content, increased use of AI-generated images and music, and the implications for content creation and copyright issues are expected.

Q: Why are supply chain attacks considered risky, and what proactive measures are recommended?

A: Supply chain attacks are considered risky due to the importance of software bill of materials (SBOM) for security, and proactive measures are recommended to mitigate vulnerabilities in dependencies.

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