NEWS IN BRIEF: AI/ML FRESH UPDATES

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AI for Equity: Driving Climate Solutions

AI for Equity Challenge: Climate Action, Gender, and Health by IRCAI, Zindi, and AWS aims to use AI to address climate crisis issues, gender equity, and public health. Global competition seeks innovative AI solutions aligned with UN SDGs for real-world impact, focusing on vulnerable populations.

Cameron Joins AI Company Revolutionizing Image Generation

Renowned filmmaker James Cameron joins Stability AI board for pioneering AI image-synthesis models, sparking discussion on AI's impact on storytelling and existential risks. Cameron's work on Skynet in Terminator franchise highlights concerns over AI dominance, prompting regulatory measures like SB-1047 in California.

Lincoln Lab Technologies Shine with 2024 R&D 100 Awards

MIT Lincoln Laboratory's 2024 R&D 100 Awards recognize 15 innovative technologies, including AI-assisted brain mapping and blast exposure monitoring. These technologies showcase the lab's diverse capabilities and real-world impact, spanning from preventing human harm to advancing 3D printing and integrated circuits.

Revolutionize Your Contact Center with AI Agents

DoorDash implemented generative AI to provide Dashers with a low-latency self-service voice experience, reducing live agent assistance. The solution fields hundreds of thousands of calls per day, answering questions in 2.5 seconds or less, enhancing efficiency and trust in DoorDash's self-service capabilities.

ChatGPT Hack: Stealing Memories for Data Theft

OpenAI's ChatGPT faced a memory vulnerability, exploited by researcher Johann Rehberger to exfiltrate user input. The feature storing previous conversations for context raised concerns but received a partial fix.

AI: A Cure for Grief?

Justin Harrison's company, You, Only Virtual, uses AI to recreate deceased loved ones from their digital footprint, sparking debate on the ethics and implications of 'grief tech'. The Guardian explores the potential of this technology and its impact on humanity through an interview with Harrison and one of his clients.

Labeling AI: Necessary or Overkill?

AI systems in health care can make biased predictions or hallucinate incorrect information. MIT and Boston University professors suggest implementing responsible-use labels to mitigate potential harms and ensure transparency in AI systems, similar to FDA-mandated labels on prescription medications.

Karini AI Saves Big with Amazon SageMaker Migration

Karini AI offers a user-friendly GenAI platform for enterprises to build and deploy advanced Generative AI applications beyond chatbots. Their no-code platform includes quality evaluation, prompt management, and data ingestion pipeline for efficient deployment and monitoring, resulting in improved concurrency and cost savings.

Surface-Level Embeddings: A Critical Look

Exploring semantic search on U.S. Presidents using language model embeddings reveals breakthroughs in understanding language models. Retrieval Augmented Generation systems utilize numerical embeddings for deeper semantic searches.

Rapid Particle Size Estimation

MIT engineers developed a machine learning-based scattered light approach for pharmaceutical manufacturing, reducing batch failures. The new open-access paper introduces a faster method for estimating powder size distribution, improving efficiency and product quality.

AI Superintelligence: Just a Few Thousand Days Away

OpenAI CEO Sam Altman envisions a future with superintelligent AI within the next decade, accelerating human advancement. OpenAI aims to create AGI, a technology that could match human intelligence, with the potential for superintelligence to surpass human capabilities.