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 ...
Since ChatGPT made its debut in late 2022, literally dozens of frameworks for building AI agents have emerged. Of them, ...
As network automation matures, a new breed of hybrid professionals with network engineering and software development skills ...
A step-by-step guide to installing the tools, creating an application, and getting up to speed with Angular components, ...
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%, ...
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