IBM and Arm are collaborating on a new dual-architecture processor designed to improve performance and efficiency for enterprise workloads. This processor combines Arm's computing platform with IBM's expertise in enterprise computing.
The goal is to enable businesses to handle complex tasks more easily. The partnership aims to make enterprise computing more accessible and efficient.
Researchers have found that prediction-based certifications are not enough to establish model trustworthiness. A new framework combines prediction and explanation certification into a single deployable criterion.
AI is being used to enhance ECGs to help doctors uncover patterns that reflect underlying myocardial function. This can be particularly useful for detecting conditions such as congenital heart disease and hypertrophic cardiomyopathy.
Mira Murati, former OpenAI employee, is now at Thinking Machines Lab, where she is developing a new class of real-time AI called interaction models. The company has released Inkling, a 975-billion-parameter open-weight model aimed at enterprise customization.
CareDx is leveraging AI-driven diagnostics and EHR integration to position itself as an infrastructure provider for personalized transplant monitoring. The company's goal is to provide a more comprehensive approach to transplant care.
Amazon SageMaker HyperPod now provides a complete Ray experience on EKS, from cluster creation to resilient training and accelerated inference.
Key Takeaways
• IBM and Arm partner on a dual-architecture processor for enterprise workloads. • Researchers develop a new framework for trustworthy AI. • AI enhances ECGs for detecting heart conditions. • Mira Murati joins Thinking Machines Lab to develop real-time AI. • CareDx leverages AI for personalized transplant monitoring. • Amazon SageMaker HyperPod offers a complete Ray experience on EKS. • Most countries need a credible AI strategy. • AI should be viewed as an assistant, not an automator. • Singapore unveils a biological data centre with living human neurons. • Federal agencies need to enable AI capabilities safely and efficiently.IBM and Arm team up for dual-architecture processor
IBM and Arm are collaborating on a new dual-architecture processor designed to improve performance and efficiency for enterprise workloads. This processor combines Arm's computing platform with IBM's expertise in enterprise computing. The goal is to enable businesses to handle complex tasks more easily. The partnership aims to make enterprise computing more accessible and efficient.
IBM and Arm create dual-architecture processor
IBM and Arm have developed a new processor that integrates Arm's compute platform into IBM's mission-critical enterprise environments. This allows Arm-native Linux environments to run alongside existing applications. The processor enables businesses to tap into software innovation without migrating sensitive workloads.
Prediction certification not enough for trustworthy AI
Researchers have proven that prediction-based certifications are not enough to establish model trustworthiness. A new framework combines prediction and explanation certification into a single deployable criterion. This framework reveals failure modes that prediction-side certification alone does not capture.
AI enhances pediatric ECGs
AI can enhance ECGs to help doctors uncover patterns that reflect underlying myocardial function. This can be particularly useful for detecting conditions such as congenital heart disease and hypertrophic cardiomyopathy. AI-enhanced ECGs may lead to earlier diagnosis and treatment.
Mira Murati's new focus at Thinking Machines
Mira Murati, former OpenAI employee, is now at Thinking Machines Lab, where she is developing a new class of real-time AI called interaction models. The company has released Inkling, a 975-billion-parameter open-weight model aimed at enterprise customization.
CareDx pushes AI-driven transplant care
CareDx is leveraging AI-driven diagnostics and EHR integration to position itself as an infrastructure provider for personalized transplant monitoring. The company's goal is to provide a more comprehensive approach to transplant care.
Most countries need an AI strategy
The concentration of AI power has created a challenge for countries without advanced AI capabilities. A credible strategy for these countries involves understanding their dependencies and creating a plan to address them. This includes developing domestic AI capabilities and leveraging international institutions.
AI as an assistant, not an automator
Technology executive Dan Chuparkoff argues that AI should be viewed as an assistant, not an automator. The goal is to use AI to reduce routine work and free up time for more strategic tasks.
Singapore unveils biological data centre
Singapore has unveiled a world-first biological data centre with 16 million living human neurons powering 20 computers. This prototype combines biological systems with conventional electronics to create a new category of computing infrastructure.
Enabling AI faster in federal agencies
Federal agencies need to enable AI capabilities safely and efficiently. This requires a novel approach to security that allows for flexibility and adaptability in the use of AI models.
New Ray capabilities on SageMaker HyperPod
Amazon SageMaker HyperPod now provides a complete Ray experience on EKS, from cluster creation to resilient training and accelerated inference.
Sources
- IBM and Arm Forge Dual-Architecture Processor for Enterprise
- IBM and Arm Forge Dual-Architecture Processor for Enterprise
- Prediction certification cannot replace explanation certification: a competence envelope for trustworthy AI under compound stress
- Pediatric ECG May Find New Uses Via AI Enhancement
- What Mira Murati Said and Shipped at Thinking Machines in 2026
- Is CareDx’s AI and EHR Push Reshaping Its Role In Transplant Care Infrastructure (CDNA)?
- Most Countries Will Not Win the AI Race, but They Still Need a Strategy
- AI is an assistant, not an automator
- Singapore unveils world-first biological data centre with 16 million living human neurons powering 20 computers in a landmark moment for AI
- Enabling AI faster should be the federal government’s focus
- Introducing new Ray capabilities on SageMaker HyperPod
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