Applied AI News #10

Applied AI News #10

Highlights: In Industry News: Google's AI cracks superbug resistance, Opera's browser automates web tasks, and Gemini gets memory. Plus, Microsoft's Phi-4-mini models empower efficient AI, and Manus shakes the world. In Academic and Science: AI researchers rethink human-level AI, near-lossless extending LLM context windows, AI mirrors cognitive decline, and AI spots research errors. In Hands-On Tools: Google's Colab agent automates data analysis.

?? Industry News and Standards

AI Cracks Superbug Problem: Google's AI rapidly solved a decade-long microbiology problem concerning superbug antibiotic resistance in just two days. ??

Opera’s New AI Agent Web Browser: Opera's new AI Browser Operator automates online tasks such as shopping and travel planning, aiming to simplify web browsing. ??

Gemini Enhanced Memory Upgrade: The free version of Gemini now has enhanced memory, enabling it to remember user details for more personalized conversations. ??

Empowering Innovation: The Next Generation of the Phi Family: Microsoft introduces Phi-4-multimodal and Phi-4-mini, efficient AI models tackling multimodal processing and text-based tasks. ??

Don't Waste Time On Doubters: Instead of arguing with doubters, focus on building an undeniably valuable idea. ?

Introducing Manus: The General AI Agent: Manus AI introduces an autonomous AI agent designed to execute tasks from idea to completion (watch many examples here), like resume screening and data analysis. ??

?? Academic and Science

How AI Can Achieve Human-Level Intelligence: Published in Nature, AI researchers are skeptical about achieving human-level AI solely through scaling neural networks and call for incorporating diverse techniques and prioritizing safety.

LongRoPE2: Near-Lossless LLM Context Window Scaling: LongRoPE2 tackles the limitations of existing methods by rescaling RoPE dimensions via evolutionary search and mixed context window training, significantly extending the context window while maintaining short-context performance. ??

Scientists Tested AI For Cognitive Decline: AI models show cognitive decline similar to humans, struggling with spatial reasoning and empathy, revealing their reliance on statistical prediction. ??

AI Tools Are Spotting Errors in Research Papers: AI is being employed to scan scientific papers for errors, ensuring higher accuracy and reliability in research publications. ?

From System 1 to System 2: A Survey of Reasoning Large Language Models: This article examines reasoning LLMs that emulate human-like, step-by-step problem-solving, addressing the limitations of foundational LLMs in complex reasoning tasks. ??

??? Hands-On Tools and Tutorials

Data Science Agent in Colab with Gemini: Google's Data Science Agent in Colab automates code generation for data analysis from natural language descriptions, reducing analysis time significantly. ??


? Final Thoughts

This week showcases significant advancements in AI, highlighting enhanced capabilities, innovative applications, and critical reflections. From autonomous agents and superbug solutions to ethical considerations and cognitive limitations, the field continues to evolve rapidly. Stay engaged to navigate the exciting path ahead! ??


About the Author


Fascinating roundup Reza Bonyadi! Google's AI achieved in two days what took microbiologists a decade, underscores the transformative potential of AI in healthcare.

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