12 model-level deep cuts to slash AI training costs

python import torch # PyTorch 2.0 compiler fusion optimized_model = torch.compile(model) 6. Pruning and quantization Deploying a massive, fully precise 16-bit neural network into production often requires renting top-tier cloud instances that destroy an application’s profit margins. Applying algorithmic...

Microsoft Marketplace opens for AI apps, agents

Microsoft has launched Microsoft Marketplace, a unified storefront website for AI apps, agents, and enterprise solutions to boost AI adoption. Unveiled September 25, the marketplace...

Rethinking VM data protection in cloud-native environments

VMs defined by Kubernetes resources The first big difference is in representation. In traditional virtualization systems, a VM is defined by an object or set...

Evolving the Windows AI platform

At the heart of an App Action is the concept of an entity. These are the objects passed to Actions and returned from them,...

Java plan prepares to restrict final field mutation

A JDK Enhancement Proposal (JEP) to prepare to make final mean final in Java would issue warnings about uses of deep reflection to mutate...

Four paradoxes of software development

The existence of these paradoxes doesn’t mean things are hopeless. I don’t point them out to frustrate or depress you. Every day, paradoxically, teams still...
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Trump calls DeepSeek a ‘wake-up call’ for U.S. tech companies

In late January 2025, President Donald Trump addressed the emergence of DeepSeek, a Chinese artificial intelligence startup, labeling it a "wake-up call" for U.S....
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