Staff at the UK's Alan Turing Institute warn credibility is at risk, with 90 staff voicing concerns to trustees about leadership. Senior departures and cost-cutting program raise doubts about the future of the national AI research body.
EBSCOlearning partners with AWS GenAIIC to use generative AI in revolutionizing learning assessments. AI-driven system automates high-quality question creation at scale for educational and professional development programs.
Utilizing GPT-3.5 and Unstructured APIs for efficient translation of Carmen Rosa's memoir from Spanish to English, preserving the narrative's essence. The technical implementation includes importing the book, translating with GPT-3.5, and exporting in Docx format using Unstructured's APIs.
Berlin-based Vay offers a unique teledriving service using NVIDIA technology for safe, real-time remote vehicle control. Vay reshapes mobility with human-operated, AI-defined autonomous driving, setting a new standard in urban transportation.
Apple's new AI tools can rewrite texts and emails, risking human language nuance, according to linguists. The technology promises to make users sound more friendly or professional.
Scalable simulations with OpenUSD and NVIDIA Omniverse advance robotics development, enabling realistic testing and AI training in virtual environments. Companies like Cobot and Field AI are using Isaac Sim to validate robot performance and bootstrap AI models for diverse applications.
DDPG enhances AI-driven medical robotics by solving the challenge of continuous action control. The Actor-Critic framework in DDPG combines DPG and DQN to improve stability and performance in environments with continuous action spaces.
Two approaches to gain insights on multimodal data: embed first, infer later with Amazon Titan Multimodal Embeddings, and infer first, embed later with Anthropic’s Claude 3 Sonnet. Evaluation using SlideVQA dataset, providing concise responses to user questions.
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.
Large language models like ChatGPT are advancing rapidly but may exhibit political bias. MIT study questions if reward models can be both truthful and unbiased.
Amazon Q Business uses generative AI to boost employee productivity with real-time data access and seamless integration with enterprise apps through plugins. Employees can perform actions and access non-indexed data across multiple applications using natural language, streamlining workflows and saving time.
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.
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.
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.
Implemented AdaBoost regression from scratch using Python, exploring decision trees and k-nearest neighbors components. Found original source paper for AdaBoost. R2 algorithm, facing challenging but rewarding engineering process.