Businesses are investing in data science teams to leverage ML systems for better outcomes. MLOps applies DevOps principles to continuously operate large-scale ML systems for improved collaboration and automation.
Implementing hardware resiliency in training infrastructure is key to uninterrupted model training. AWS introduces Neuron node problem detector for fault-tolerant ML training on Amazon EKS, automating issue detection and recovery.
MIT engineers have identified new materials for fast proton conduction, essential for clean energy technologies like fuel cells. Current high-temperature inorganic materials may be replaced by lower-temperature alternatives for more efficient and durable applications.
Protecting personally identifiable information (PII) is crucial for consumer trust. Amazon Lex and CloudWatch offer solutions to detect and mask sensitive data, reducing the risk of exposure in logs and transcripts.
Team NVIDIA emerged victorious at the Amazon KDD Cup 2024, showcasing their expertise in generative AI across multiple challenging categories, including text generation and name entity recognition. Their innovative approach, using the Qwen2-72B LLM and QLoRA technique, outperformed competitors by fine-tuning models on eight NVIDIA A100 Tensor Core GPUs, demonstrating their ability to handle rea...
Adobe Creative Cloud applications, powered by NVIDIA RTX GPUs, enhance creativity and productivity with Generative AI tools like Firefly. Adobe Photoshop and Illustrator feature new Generative Fill and Shape Fill tools, revolutionizing design workflows.
Researchers from MIT and ETH Zurich developed an AI model to identify different stages of DCIS from breast tissue images, potentially streamlining diagnosis and treatment. By analyzing the spatial organization of cells, the model could help clinicians predict which DCIS cases may progress to invasive cancer, paving the way for more efficient and personalized care.
Generative AI poses a threat to public discourse and political accountability, as demonstrated by the recent AI-generated video of Steven Miles on TikTok. The uncanny features and unsettling details of the video highlight the ongoing concerns about the use of deepfakes in politics.
Machine-learning models can improve fairness by introducing randomization, preventing systemic injustices in resource allocation. Researchers from MIT and Northeastern University present a framework for introducing randomization without sacrificing efficiency or accuracy.
AI advancements are both thrilling and alarming. Screenwriter tests AI for screenplay, AI suggests improvements. Novel outdated in AI era.
MIT researchers propose evaluating large language models based on alignment with human beliefs. Misalignment can lead to unexpected failures, especially in high-stakes situations.
CEO Sarah Franklin faced intense pushback on Lattice's plans, leading to their suspension after 3 days. People are not ready for "digital workers" according to the lesson learned by the CEO of the HR platform.
AI tools revolutionize weather forecasting by analyzing data patterns over years for accurate and faster predictions. Traditional methods rely on complex equations and grid replication of the atmosphere, while AI forecasts focus on long-term data analysis.
AI and accelerated computing by NVIDIA are enhancing energy efficiency across industries, recognized by Lisbon Council Research. Transitioning to GPU-accelerated systems can save over 40 terawatt-hours of energy annually, with real-world examples like Murex and Wistron showcasing significant gains in energy consumption and productivity.
Llama 3.1's multilingual LLMs, available on Amazon SageMaker JumpStart, offer optimized generative AI models for developers and businesses. SageMaker JumpStart provides access to pre-trained foundation models, allowing for customization and secure deployment in a dedicated VPC environment.