Last Month in Deep Learning

Sumit Pandey

Published in

Towards Deep Learning

Sent as a

Newsletter

3 min readFeb 1, 2024

Hi Readers

Welcome to our first newsletter, where we delve into significant strides made in the deep learning arena over the past month. This edition covers exciting research for future innovations. Let’s dive down:

🌐 Meta Code Llama

Code Llama Introduction: Meta introduces Code Llama, leveraging Llama 2 for AI-powered coding enhancements, applicable in research and commercial realms.
Functionality: Focuses on generating and discussing code, supports various programming languages, and enables code completion and debugging.
Model Variants: Provides multiple model sizes and specialized versions for Python and instructional tasks to meet diverse needs.
Open AI Development: Reflects Meta’s dedication to open AI, aiming to refine developer workflows and learning, while fostering community-driven innovation and safety.

For more details, you can visit Meta’s announcement page here

🩺 Pancreatic Cancer Early Detection

AI Over Doctors: Neural network surpasses doctors in detecting early pancreatic cancer signs.
Research Collaboration: MIT researchers and Beth Israel Medical Center oncologists developed the model.
PrismNN Model: Utilizes medical records to predict pancreatic ductal adenocarcinoma risk.
Data and Training: Analyzed data from 35,000 PDAC patients and 1.5 million controls, considering 87 features.
High-Risk Identification: PrismNN flagged 35.9% of future PDAC patients as high-risk, outperforming genetic criteria.
Impact and Potential: Early detection could significantly improve pancreatic cancer survival rates.

Check the paper here

📈 AI and Employment in Europe

Job Growth: AI-associated jobs increased in Europe despite automation fears.
European Central Bank Study: Found AI exposure led to higher employment in certain sectors.
Diverse Effects: Positive employment impact on high-education and younger workers; minimal wage impact.
Comparative Analysis: Less negative effect on low-education and older workers compared to general software impact.
Future Implications: Ongoing studies to clarify AI’s employment impact post-2019, considering recent AI advancements.

More details here: 1, 2,

🌍 Sovereign AI Investments

Global AI Investments: Countries investing billions in domestic AI development and infrastructure.
Government Priorities: Focus varies from semiconductor industry support in the US and China to AI startups in Europe and Asia.
Strategic Moves: Nations aim for AI autonomy for security and economic growth, amidst international tech competition.
Implications: Government actions influence global AI development, talent migration, and technology sharing.

More details here

📐 AlphaGeometry: Advancing AI in Geometry

AI in Geometry: Google and NYU’s AlphaGeometry nearly matches high school geometry champs.
System Components: Combines a geometric proof finder and a transformer model for theorem proving.
Innovative Approach: Integrates algebraic reasoning and geometric concepts for enhanced problem-solving.
Performance: Solved 30 International Mathematical Olympiad problems, demonstrating significant AI advancement in geometry.