AWS Machine Learning Blog Official Machine Learning Blog of Amazon Web Services
- How Formula 1® uses generative AI to accelerate race-day issue resolutionby Carlos Contreras on February 18, 2025 at 21:08
In this post, we explain how F1 and AWS have developed a root cause analysis (RCA) assistant powered by Amazon Bedrock to reduce manual intervention and accelerate the resolution of recurrent operational issues during races from weeks to minutes. The RCA assistant enables the F1 team to spend more time on innovation and improving its services, ultimately delivering an exceptional experience for fans and partners. The successful collaboration between F1 and AWS showcases the transformative potential of generative AI in empowering teams to accomplish more in less time.
- Using Amazon Rekognition to improve bicycle safetyby Mike George on February 17, 2025 at 16:51
To better protect themselves, many cyclists are starting to ride with cameras mounted to the front or back of their bicycle. In this blog post, I will demonstrate a machine learning solution that cyclists can use to better identify close calls. The architecture of the solution uses Amazon Rekognition to detect vehicles in recorded bike ride videos. It then analyzes the video to determine if any vehicles are passing too close to the cyclist, within the 3-foot safe distance required by law. The solution automatically generates video clips of these dangerous passing events, which can then be shared with authorities to help improve cyclist safety.
- Build a dynamic, role-based AI agent using Amazon Bedrock inline agentsby Ishan Singh on February 13, 2025 at 20:56
In this post, we explore how to build an application using Amazon Bedrock inline agents, demonstrating how a single AI assistant can adapt its capabilities dynamically based on user roles.
- Use language embeddings for zero-shot classification and semantic search with Amazon Bedrockby Tom Rogers on February 13, 2025 at 20:53
In this post, we explore what language embeddings are and how they can be used to enhance your application. We show how, by using the properties of embeddings, we can implement a real-time zero-shot classifier and can add powerful features such as semantic search.
- Fine-tune LLMs with synthetic data for context-based Q&A using Amazon Bedrockby Sue Cha on February 12, 2025 at 17:44
In this post, we explore how to use Amazon Bedrock to generate synthetic training data to fine-tune an LLM. Additionally, we provide concrete evaluation results that showcase the power of synthetic data in fine-tuning when data is scarce.
MIT News – Artificial intelligence MIT news feed about: Artificial intelligence
- AI model deciphers the code in proteins that tells them where to goby Greta Friar | Whitehead Institute on February 13, 2025 at 22:10
Whitehead Institute and CSAIL researchers created a machine-learning model to predict and generate protein localization, with implications for understanding and remedying disease.
- Gift from Sebastian Man ’79, SM ’80 supports MIT Stephen A. Schwarzman College of Computing buildingby Christine Thielman | MIT Schwarzman College of Computing on February 11, 2025 at 20:45
Alumnus is the first major donor to support the building since Stephen A. Schwarzman’s foundational gift.
- Bridging philosophy and AI to explore computing ethicsby Danna Lorch | School of Humanities, Arts, and Social Sciences on February 11, 2025 at 20:15
In a new MIT course co-taught by EECS and philosophy professors, students tackle moral dilemmas of the digital age.
- Puzzling out climate changeby Michaela Jarvis | School of Engineering on February 10, 2025 at 15:00
Accenture Fellow Shreyaa Raghavan applies machine learning and optimization methods to explore ways to reduce transportation sector emissions.
- Can deep learning transform heart failure prevention?by Alex Ouyang | Abdul Latif Jameel Clinic for Machine Learning in Health on February 10, 2025 at 14:00
A deep neural network called CHAIS may soon replace invasive procedures like catheterization as the new gold standard for monitoring heart health.
Google DeepMind Blog Read the latest articles and stories from DeepMind and find out more about our latest breakthroughs in cutting-edge AI research.
- Gemini 2.0 is now available to everyoneon February 5, 2025 at 16:00
We’re announcing new updates to Gemini 2.0 Flash, plus introducing Gemini 2.0 Flash-Lite and Gemini 2.0 Pro Experimental.
- Updating the Frontier Safety Frameworkon February 4, 2025 at 16:41
Our next iteration of the FSF sets out stronger security protocols on the path to AGI
- FACTS Grounding: A new benchmark for evaluating the factuality of large language modelson December 17, 2024 at 15:29
Our comprehensive benchmark and online leaderboard offer a much-needed measure of how accurately LLMs ground their responses in provided source material and avoid hallucinations
- State-of-the-art video and image generation with Veo 2 and Imagen 3on December 16, 2024 at 17:01
We’re rolling out a new, state-of-the-art video model, Veo 2, and updates to Imagen 3. Plus, check out our new experiment, Whisk.
- Introducing Gemini 2.0: our new AI model for the agentic eraon December 11, 2024 at 15:30
Today, we’re announcing Gemini 2.0, our most capable multimodal AI model yet.