NEWS IN BRIEF: AI/ML FRESH UPDATES

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MIT advances AI interpretability

MIT CSAIL researchers developed MAIA, an automated agent that interprets AI vision models, labels components, cleans classifiers, and detects biases. MAIA's flexibility allows it to answer various interpretability queries and design experiments on the fly.

Unprepared for Digital Workers

CEO Sarah Franklin faced intense pushback on Lattice's plans, leading to their suspension after 3 days. People are not ready for "digital workers" according to the lesson learned by the CEO of the HR platform.

Empowering Green Energy with Proton-Conducting Materials

MIT engineers have identified new materials for fast proton conduction, essential for clean energy technologies like fuel cells. Current high-temperature inorganic materials may be replaced by lower-temperature alternatives for more efficient and durable applications.

Unleashing AI Artistry: Adobe Apps + NVIDIA RTX

Adobe Creative Cloud applications, powered by NVIDIA RTX GPUs, enhance creativity and productivity with Generative AI tools like Firefly. Adobe Photoshop and Illustrator feature new Generative Fill and Shape Fill tools, revolutionizing design workflows.

AI: Transforming Weather Forecasting

AI tools revolutionize weather forecasting by analyzing data patterns over years for accurate and faster predictions. Traditional methods rely on complex equations and grid replication of the atmosphere, while AI forecasts focus on long-term data analysis.

Russian Malware Freezes 600 Ukrainian Buildings in Winter

Russia-based hackers targeted a heating utility in Lviv, Ukraine, switching off heat to hundreds of buildings in the midst of winter. Industrial cybersecurity firm Dragos discovered the malware used to directly sabotage the heating infrastructure, leaving civilians in sub-zero temperatures for 48 hours.

Rust Cargo.toml Best Practices

Master Cargo.toml formatting rules to avoid frustration. Rust's consistency compared to JavaScript, with surprises in Cargo.toml explained in 9 wats and wat nots.

AI Dominance: NVIDIA Sweeps KDD Cup 2024

Team NVIDIA emerged victorious at the Amazon KDD Cup 2024, showcasing their expertise in generative AI across multiple challenging categories, including text generation and name entity recognition. Their innovative approach, using the Qwen2-72B LLM and QLoRA technique, outperformed competitors by fine-tuning models on eight NVIDIA A100 Tensor Core GPUs, demonstrating their ability to handle rea...

Mastering Quantization: A Visual Guide

Large Language Models (LLMs) are too big for consumer hardware, requiring GPUs with large VRAM. Quantization is a key technique to make LLMs smaller, improving efficiency and reducing memory usage.

Predicting Invasive Breast Cancer with AI

Researchers from MIT and ETH Zurich developed an AI model to identify different stages of DCIS from breast tissue images, potentially streamlining diagnosis and treatment. By analyzing the spatial organization of cells, the model could help clinicians predict which DCIS cases may progress to invasive cancer, paving the way for more efficient and personalized care.

Custom Generative AI Models with NVIDIA AI Foundry

NVIDIA AI Foundry helps businesses create custom AI models tailored to their industry needs, with support from leading companies like Amdocs and Capital One. The service includes foundation models, accelerated computing, expert support, and a partner ecosystem to drive AI innovation.

Introducing Llama 3.1 Models on Amazon SageMaker JumpStart

Llama 3.1's multilingual LLMs, available on Amazon SageMaker JumpStart, offer optimized generative AI models for developers and businesses. SageMaker JumpStart provides access to pre-trained foundation models, allowing for customization and secure deployment in a dedicated VPC environment.