Explore how automation is reshaping industries and driving innovation.
Transportation
After establishing its autonomous vehicle services in San Francisco and Los Angeles, Waymo, Alphabet’s self-driving car subsidiary, has revealed its next stop: Miami. The company plans to deploy its fleet of driverless Jaguar I-Pace electric vehicles in Florida starting in early 2025, with rides becoming broadly accessible via the
Artificial Intelligence (AI)
AWS has announced a major enhancement to its SageMaker platform at the annual re:Invent conference in Las Vegas. SageMaker, AWS’s fully managed platform for building, training, and deploying machine learning (ML) and generative AI models, is now integrating a curated set of third-party AI applications. This move aims
Artificial Intelligence (AI)
OpenAI, the maker of ChatGPT, has announced an exciting "12 Days of OpenAI" event, unveiling a new feature or model every weekday for the next two weeks. This event promises to showcase cutting-edge AI advancements, some of which have been hinted at in the past but remained unavailable
Artificial Intelligence (AI)
As 2024 comes to a close, Clement Delangue, CEO of Hugging Face, a $4.5 billion AI startup, has unveiled bold predictions for the artificial intelligence industry in 2025. Known for his insightful forecasts, Delangue anticipates major public protests against AI, disruptive market changes, and groundbreaking advancements in technology. Here’
Artificial Intelligence (AI)
Amazon has introduced the Nova family of AI models, designed to generate text, images, and videos. This suite includes: * Amazon Nova Micro: A text-only model optimized for low-latency responses at minimal cost. * Amazon Nova Lite: A multimodal model offering fast processing for text, images, and videos at a very low
Cloud Computing
At AWS re:Invent in Las Vegas, Amazon Web Services (AWS) announced major updates to its data centers, focusing on efficiency, sustainability, and AI performance. The key highlight is the adoption of liquid cooling for its AI-focused Trainium2 chips and NVIDIA GB200 NVL72 systems, addressing the intense heat of next-gen
Robotics
BMW has integrated advanced humanoid robots, developed by California-based Figure AI, into its production lines, achieving a 400% increase in operational speed and a sevenfold improvement in task success rates. Enhanced Capabilities The upgraded robots can autonomously place up to 1,000 auto parts daily with remarkable precision, effectively handling
Artificial Intelligence (AI)
ChatGPT, developed by OpenAI, has significantly impacted technology and society since its launch two years ago. Its user base has doubled to 200 million weekly users, reflecting its widespread adoption. Major companies and entrepreneurs remain optimistic about its transformative power. However, the rapid advancement of AI technologies like ChatGPT has
Science
Artificial intelligence (AI) is increasingly becoming an active collaborator in scientific research, moving beyond its traditional role as a supportive tool. A notable example is the 'Virtual Lab' developed by Stanford University, where AI agents assume roles such as principal investigator, scientist, and scientific critic to collaboratively address
Artificial Intelligence (AI)
Amazon is developing a generative AI model, codenamed Olympus, capable of processing images, videos, and text. This initiative aims to reduce Amazon's reliance on external AI providers like Anthropic, whose Claude chatbot is popular on Amazon Web Services (AWS). Olympus will enable users to search for specific video
Artificial Intelligence (AI)
Alibaba has stepped into the spotlight of advanced AI reasoning with its latest release, the QwQ-32B-Preview model. Designed to challenge the capabilities of OpenAI's o1 reasoning model, this AI model focuses on excelling in complex logical and mathematical reasoning tasks, positioning Alibaba as a strong competitor in the
Artificial Intelligence (AI)
Researchers at the Massachusetts Institute of Technology (MIT) have developed an innovative algorithm to enhance the training efficiency and reliability of reinforcement learning models, particularly for complex tasks with inherent variability. This advancement holds significant potential for applications such as intelligent traffic control systems. Challenges in Reinforcement Learning Reinforcement learning