NEWS IN BRIEF: AI/ML FRESH UPDATES

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Boost Mixtral 8x7B Training with Expert Parallelism

Amazon SageMaker's new features enable efficient training of large MoE models like the Mixtral 8x7B, with expert parallelism improving computational efficiency by distributing expert subnetworks across multiple devices. This innovative approach addresses challenges like load balancing and high memory requirements, making training of large MoE models more cost-effective and scalable.

Enhancing Decision-Making with Additive Trees

Additive Decision Trees offer a more accurate and interpretable alternative to standard decision trees. They address limitations such as lack of interpretability and stability, providing a valuable tool for high-stakes and audited environments.

Optimizing Supply Chains with Python

Summary: Increase luxury product warehouse capacity by optimizing value-added services with Python. Use linear programming to reduce bottlenecks and boost inbound productivity by up to 48%.

Consultant fined $6m for deepfaked Biden robocall

Political consultant Steve Kramer charged in New Hampshire for AI-generated impersonation of Biden in robocall urging residents not to vote in primary, fined $6m. The use of artificial intelligence to fake Biden's voice in the robocall before the Democratic presidential primary in New Hampshire sparked controversy.

Unveiling AI: Balancing the Benefits and Risks

AI enthusiasts gathered at EmTech Digital 2024 at MIT to discuss the early stages of generative AI's growth. MIT Technology Review hosted the event, featuring talks from AI researchers and company spokespeople in a low-key, corporate setting.

United for Change

MIT researchers partner with Camfield Estates to address racial disparities in housing through innovative solutions and community empowerment. Collaboration between MIT and Camfield Estates leads to creative housing design projects and historical context research to tackle systemic housing issues in the US.

Revolutionizing Fashion Descriptions with AI

Machine learning & natural language processing are transforming ecommerce platforms by automating high-quality product descriptions. Vision-language models like Amazon Bedrock are now used to predict product attributes from images, improving searchability & customer satisfaction.

The Art of Forecasting

Mixture Density Networks (MDNs) offer a diverse prediction approach beyond averages. Bishop's classic 1994 paper introduced MDNs, transforming neural networks into uncertainty sorcerers.

Meet the 2024 MAD Design Fellows!

MIT MAD supports design research in various fields. 2024 Design Fellows tackle challenges in technology, mental health, construction, robotics, and disaster resilience.