IMO Weekly Highlights - 07082024

IMO Weekly Highlights - 07082024

IMO picked up a few pieces of notable news about AI and tech companies for the past week. This week, Meta drops AI bombshell: Multi-token prediction models now open for research.??

1)??? Meta drops AI bombshell: Multi-token prediction models now open for research

Meta?has thrown down the gauntlet in the race for more efficient artificial intelligence. The tech giant?released pre-trained models?on Wednesday that leverage a novel multi-token prediction approach, potentially changing how large language models (LLMs) are developed and deployed.

2)?? Apple just launched a public demo of its ‘4M’ AI model: Here’s why it’s a big deal

Apple, in collaboration with the Swiss Federal Institute of Technology Lausanne (EPFL), has released a?public demo?of their?4M AI model?on the Hugging Face Spaces platform. This launch comes seven months after the model was?initially open-sourced, and represents an important step in expanding access to sophisticated AI technology. The public demo allows a wider range of users to interact with and evaluate the capabilities of the 4M model firsthand.

The?4M (Massively Multimodal Masked Modeling) demo?showcases a versatile AI model capable of processing and generating content across multiple modalities. Users can interact with the system to create images from text descriptions, perform complex object detection, and even manipulate 3D scenes using natural language inputs.

3)?? NodaFi raises $3.5M to become the ‘Salesforce for facility operations’

NodaFi, a cloud-based facility operations platform, has secured $3.5 million in seed funding to transform the?$21 billion facility management software industry. Base10 Partners led the round, with Stage 2 Capital, MKT1, and FJ Labs also participating. The investment aims to accelerate NodaFi’s mission of modernizing facility operations through innovative solutions.

Founded by Jacob Pandl, Mike Loyda, and Dan Pettay, NodaFi has set an ambitious goal to “reclaim one billion hours for essential workers managing critical infrastructure” by 2026. This objective highlights the significant inefficiencies in the sector, where an?estimated 70% of work time is deemed unproductive.

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