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.
New OpenAI o1 Model outperforms ChatGPT-40. Experiment with ChatGPT-o1 to generate Python code yields 90% accuracy.
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.
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.
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.
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.
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.
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.
Classification models provide not only answers but also confidence levels through probability scores. Explore how seven basic classifiers calculate and express their prediction certainty visually. Understanding predicted probability is key to interpreting how models make choices with varying levels of confidence.
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.
OpenAI's new tool, Sora, creates realistic video clips from prompts, raising concerns about the blurring line between reality and AI-generated content. Despite impressive visuals, witnessing the uncanny realism left the journalist feeling more melancholic than amazed.
Australian federal police relies on AI for investigations due to vast data volume. 40 terabytes of data analyzed on average, with a cyber incident reported every 6 minutes.
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.
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.
Singular values of matrices can be computed using the SVD technique, but a paper by C. R. Johnson offers a lower bound method for estimating the smallest singular value. Early hybrid aircraft designs combining piston engines with jets were quickly abandoned in favor of pure jet engines due to rapid technological advancements.