OpenAI's latest PDF introduces LLM Agents, systems that independently perform tasks. These agents provide actionable outputs, revolutionizing AI integration in pipelines.
Feel-Write, an AI-powered journaling app, raises concerns about trust in AI systems handling sensitive data, prompting a shift towards stronger data governance and accountability. The rush to integrate AI tools often overlooks the importance of trust, highlighting the need for responsible decision-making in building with AI, especially when dealing with personal information.
NumExpr library claims to be up to 15x faster than NumPy for numerical calculations. Performance test shows NumExpr completing tasks 6 times faster than NumPy.
NVIDIA introduces DOCA Argus for AI factory cybersecurity, offering real-time threat detection without impacting performance. Collaboration with Cisco delivers a Secure AI Factory architecture for scalable, secure AI deployment.
Breaking into the tech world is challenging due to fierce competition, but standing out with niche job search techniques can boost your chances. Utilize advanced search methods like Boolean search on platforms like LinkedIn to discover specific job opportunities quickly.
MIT MAD Fellow Alexander Htet Kyaw combines AI, AR, and robotics to revolutionize online furniture shopping with Curator AI. His innovations have the potential to transform how we interact with our environment and simplify complex processes.
Children’s commissioner calls for ban on AI 'nudification' apps creating deepfake images of minors. Teenage girls fear exploitation.
Becoming a machine learning engineer requires skills in stats, maths, ML, software engineering, and more. Transitioning from data scientist or software engineer is a common path to landing high-paying ML roles.
Avoiding American products is a growing trend, with alternatives like Bio-D and Faith in Nature. Concerns raised over Trump's comments on Greenland and Crimea.
GenAI is not just hype, it has real-world applications & generates revenue for companies. Learn how to power your application with large Language Models (LLMs) by defining use cases & choosing the right model.
Microsoft predicts the rise of 'frontier firms' where humans direct AI agents to complete tasks, making everyone a boss of AI employees. The new business model involves human workers overseeing autonomous AI agents in carrying out tasks, ushering in a new era of workplace dynamics.
Researchers from SMART, MIT, ASTAR, and NUS develop a rapid method for detecting microbial contamination in cell therapy products, reducing testing time and benefiting critically ill patients. The machine learning-aided UV absorbance spectroscopy offers label-free, noninvasive detection in under half an hour, providing a cost-effective and efficient solution for ensuring the safety of cell ther...
Transformers utilize tensors for processing information, ensuring dimensional coherence and proper information flow. Multi-Head Attention mechanism is a critical component in Transformers, splitting matrices for parallelization and enhanced learning.
The Air Mobility Command's 618th AOC is enhancing mission planning with AI-powered chat tools developed by Lincoln Laboratory. Natural language processing enables quick trend analysis and intelligent search capabilities for critical decision-making in the U.S. Air Force.
MIT researchers developed a new diagram-based language for optimizing deep-learning algorithms, simplifying complex tasks to napkin-sized drawings. The method focuses on efficient resource usage, particularly for large AI models like ChatGPT, using diagrams to represent parallelized operations on GPUs from companies like NVIDIA.