AMD requires a Senior AI/ML and GPU Performance QA Engineer who will manage validation and performance testing for machine ...
Two malware campaigns weaponize open-source software to target executives and cloud systems, combining social engineering ...
The first dimension is the most fundamental: statistical fidelity. It is not enough for synthetic data to look random. It must behave like real data. This means your distributions, cardinalities, and ...
Intel is looking for a Data Scientist who specializes in Demand and Supply Planning to develop advanced analytics and machine learning systems that will optimiz ...
As network automation matures, a new breed of hybrid professionals with network engineering and software development skills ...
AI-powered penetration testing is an advanced approach to security testing that uses artificial intelligence, machine learning, and autonomous agents to simulate real-world cyberattacks, identify ...
The authors argue that today’s agentic AI platforms are closer to experimental infrastructure than finished products.
On SWE-Bench Verified, the model achieved a score of 70.6%. This performance is notably competitive when placed alongside significantly larger models; it outpaces DeepSeek-V3.2, which scores 70.2%, ...
Research published in Advances in Computer and Communication establishes frameworks for integrating Role-Based Access Control and Attribute-Based Access Control within large-scale distributed ...
Quantum computing has attracted attention for years, but for most developers it has felt distant and impractical. By making its development kit open source and integrating it with widely used tools ...
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