Your enterprise may be more locked into a vendor’s AI than you realize, thanks to AI-native features in services you’re ...
Mapping the core projects (SONiC, Cilium, DPDK) and foundations (LFN, CNCF) driving data center, 5G, and Kubernetes ...
S2C, MachineWare, and Andes remain committed to advancing verification methodologies and providing scalable, efficient, and robust development tools for the RISC-V community. Together, the companies ...
1. Risk: AI Monoculture (Shared Blind Spots). This is the most critical and overlooked systemic vulnerability. Building your ...
In this environment, companies that sit at the intersection of AI and data infrastructure are becoming critical enablers of the broader AI transformation. Innodata INOD and Palantir Technologies PLTR ...
Three years later, Prashanth says Stack Overflow is now very comfortable primarily as an enterprise SaaS business, which provides AI-based solutions that are tailored to different companies’ internal ...
As AI campuses grow into full-fledged energy ecosystems, data center leaders are beginning to define the technologies and ...
AMD has been steadily expanding its FidelityFX Super Resolution technology since 2021, but “Redstone” represents the biggest ...
While DevOps drives innovation and simplifies collaboration, it also comes with its own set of risks and vulnerabilities. Developers rely on Git-based platforms like GitHub, Azure DevOps, Bitbucket, ...
Abstract: Sparse Matrix-Vector Multiplication (SpMV) on GPUs has gained significant attention because of SpMV's importance in modern applications and the increasing computing power of GPUs in the last ...
On Wednesday, Wikimedia Deutschland announced a new database that will make Wikipedia’s wealth of knowledge more accessible to AI models. Called the Wikidata Embedding Project, the system applies a ...
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