Generative AI to quantify uncertainty in weather forecasting
Posted by Lizao (Larry) Li, Software Engineer, and Rob Carver, Research Scientist, Google Research Accurate weather forecasts can have a direct impact on people’s lives, from helping make routine decisions, like what to pack for a day’s activities, to informing urgent actions, for example, protecting people in the face of hazardous weather conditions. The importance …
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Navigating the Challenges and Opportunities of Synthetic Voices
We’re sharing lessons from a small scale preview of Voice Engine, a model for creating custom voices.
Holistic asset management for utility network companies
Addressing challenges of the energy transition with grid asset management The energy transition is gearing up to full speed as renewable energy sources replace fossil-based systems of energy production. The grid itself must green to operate within the environmental, social and governance (ESG) objectives and become carbon neutral by 2050. This shift requires energy utility …
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Generative AI to quantify uncertainty in weather forecasting
Posted by Lizao (Larry) Li, Software Engineer, and Rob Carver, Research Scientist, Google Research Accurate weather forecasts can have a direct impact on people’s lives, from helping make routine decisions, like what to pack for a day’s activities, to informing urgent actions, for example, protecting people in the face of hazardous weather conditions. The importance …
Read more “Generative AI to quantify uncertainty in weather forecasting”
Provide live agent assistance for your chatbot users with Amazon Lex and Talkdesk cloud contact center
Amazon Lex provides advanced conversational artificial intelligence (AI) capabilities to enable self-service support for your organization’s contact center. With Amazon Lex, you can implement an omnichannel strategy where customers engage via phone, websites, and messaging platforms. The bots can answer FAQs, provide self-service experiences, or triage customer requests before transferring to a human agent. Amazon Lex integrates …
AutoBNN: Probabilistic time series forecasting with compositional bayesian neural networks
Posted by Urs Köster, Software Engineer, Google Research Time series problems are ubiquitous, from forecasting weather and traffic patterns to understanding economic trends. Bayesian approaches start with an assumption about the data’s patterns (prior probability), collecting evidence (e.g., new time series data), and continuously updating that assumption to form a posterior probability distribution. Traditional Bayesian …
New Conversational UX Stack: Integrating NLU, LLMs, & RAG
The Future of AI Conversational Agents Continue reading on Chatbots Life »
Private cloud use cases: 6 ways private cloud brings value to enterprise business
As cloud computing continues to transform the enterprise workplace, private cloud infrastructure is evolving in lockstep, helping organizations in industries like healthcare, government and finance customize control over their data to meet compliance, privacy, security and other business needs. According to a report from Future Market Insights (link resides outside ibm.com), the global private cloud services …
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AutoBNN: Probabilistic time series forecasting with compositional bayesian neural networks
Posted by Urs Köster, Software Engineer, Google Research Time series problems are ubiquitous, from forecasting weather and traffic patterns to understanding economic trends. Bayesian approaches start with an assumption about the data’s patterns (prior probability), collecting evidence (e.g., new time series data), and continuously updating that assumption to form a posterior probability distribution. Traditional Bayesian …