NEWS IN BRIEF: AI/ML FRESH UPDATES

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AI Tools in UK Government: Racist and Biased?

Government to publish central government AI algorithms on public register after concerns over bias and racism. Tools used for detecting sham marriages and benefit fraud under scrutiny by transparency campaigners.

Black Box: The Collision Podcast

Guardian journalist Michael Safi revisits the world of artificial intelligence, uncovering its dangers and promises for society in the Black Box series. A mysterious encounter with Noah leaves Hannah with life-changing experiences and lingering concerns about the impact of AI.

The AI Threat: Democracy in Peril

Historian warns of AI dangers, citing Greek myth & Goethe's cautionary tale about humans summoning powers they can't control. Lesson: Never summon powers you cannot control.

The Battle Against AI Cheating in Education

Teachers must adapt to students' proficiency in large language models, shifting focus from product to process. Concerns arise as professors grapple with grading students versus computers in an AI-dominated educational landscape.

Revolutionizing Data Center Performance with NVIDIA Innovations

Hot Chips 2024 features NVIDIA's Blackwell platform advancements and liquid cooling research for data centers, pushing AI computing limits. NVIDIA engineers showcase groundbreaking AI system design, all-to-all GPU communication, and Quasar Quantization System for accelerated computing.

Building a Smart QA Model with HuggingFace

HuggingFace offers a vast library of pretrained language and image models for natural language tasks. Despite some errors, the QA system showcases the simplicity and effectiveness of using the pipeline() function.

Boost Visibility: Amazon Q Confluence Cloud Connector

Amazon Q Business is an AI-powered assistant for enterprises, providing tailored conversations and immediate information to enhance employee productivity. Connect Amazon Q to Atlassian Confluence Cloud for seamless access to structured workspaces and relevant content.

Unveiling the Power of Graph RAG

RAG enhances AI applications by combining LLMs with domain-specific data. Text embeddings have limitations in answering complex, abstract questions across documents.