NEWS IN BRIEF: AI/ML FRESH UPDATES

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Unbiased AI: Accuracy Preserved

MIT researchers developed a new technique to improve machine-learning model accuracy for underrepresented groups by removing specific data points. This method addresses hidden biases in training datasets, ensuring fair predictions for all individuals.

Decoding AI: Making Predictions Understandable

MIT researchers developed a system using large language models to convert complex AI explanations into plain language, improving user understanding. The system evaluates the quality of the narrative, allowing users to trust machine-learning predictions and customize explanations to meet specific needs.

Sora: OpenAI's AI Video Generator Now Accessible in US

OpenAI's Sora, a text-to-video generator, now available to all in the US, creates AI video clips from written prompts. Users can see their prompts come to life, like a family of woolly mammoths in an open desert, through Sora's innovative technology.

Introducing Pixtral 12B on Amazon SageMaker JumpStart

Pixtral 12B, Mistral AI's cutting-edge vision language model, excels in text-only and multimodal tasks, outperforming other models. It features a novel architecture with a 400-million-parameter vision encoder and a 12-billion-parameter transformer decoder, offering high performance and speed for understanding images and documents.

Daniela Rus: John Scott Award Winner

MIT's Daniela Rus receives 2024 John Scott Award for groundbreaking robotics research, redefining the capabilities of robots beyond traditional norms. Rus's work focuses on developing explainable algorithms to create collaborative robots that can solve real-world challenges, emphasizing the synergy between the body and brain for intelligent machines.

AI Saves Lives: Reducing Stillbirths in Malawi

The only hospital in the country using foetal safety software reduced baby fatalities by 82% in 3 years. A routine ultrasound at Area 25 health centre in Malawi's capital saved Ellen Kaphamtengo's baby from potential asphyxia.

Maximizing LLM Performance: The Power of Hybrid Models

Implementing Speculative and Contrastive Decoding enhances text generation quality and efficiency using large and small language models. Contrastive Decoding prioritizes tokens with the largest probability difference between models for high-quality outputs.

Enhancing GPS Accuracy: Mapping Kinematic Solutions

Geospatial datasets use dead reckoning to infer GPS locations between known points, impacting data quality and value. Telematics data from vehicles includes various signals like GPS location, speed, and more, with implications for data handling and analysis.