NEWS IN BRIEF: AI/ML FRESH UPDATES

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Deepfake Dystopia: The Rise of Digital Deception in 2024

Generative AI poses a threat to public discourse and political accountability, as demonstrated by the recent AI-generated video of Steven Miles on TikTok. The uncanny features and unsettling details of the video highlight the ongoing concerns about the use of deepfakes in politics.

Uncover Amazon S3 Insights with Q S3 Connector

Amazon Q is a generative AI-powered assistant that can answer questions, provide summaries, and complete tasks using data from various repositories. It offers prebuilt connectors to data sources like Atlassian Jira, Amazon S3, and Salesforce for easy integration and minimal configuration.

Meta's Game-Changing Open-Source AI App

Meta introduces Llama 3.1 405B AI model, claiming it competes with OpenAI and Anthropic in various tasks. The new open-source system is set to challenge established competitors in the AI field.

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.

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.

Galaxy tools unveil AI fakes

Researchers at the University of Hull developed a method to detect AI-generated deepfake images by analyzing reflections in human eyes. This technique utilizes tools from astronomy to scrutinize the consistency of light reflections in eyeballs, potentially revolutionizing deepfake detection.

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.

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.

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.