Abstract: Semantic communications have emerged as a new communication paradigm that extracts and transmits meaningful information relevant to receiver tasks. The trendy semantic coding framework, ...
Per Zoho chief scientist Sridhar Vembu, AI is effective at writing “glue code” but still relies on experienced engineers to ...
Per Zoho chief scientist Sridhar Vembu, AI is effective at writing “glue code” but still relies on experienced engineers to ...
O n Tuesday, researchers at Stanford and Yale revealed something that AI companies would prefer to keep hidden. Four popular ...
Deep Learning with Yacine on MSN
Building multivariate linear regression in C++ — no libraries, just code
Want to understand how multivariate linear regression really works under the hood? In this video, we build it from scratch in C++—no machine learning libraries, just raw code and linear algebra. Ideal ...
Victoria Gray spent 34 years battling the debilitating pain of sickle cell disease. Then she volunteered to be the world's first "prototype" for a CRISPR therapy, based on technology invented at UC ...
C# was named TIOBE’s Programming Language of the Year, while the index also pointed to a potential rise for TypeScript.
High-level synthesis (HLS) is a design flow in which design intent is described at a higher level of abstraction than RTL, such as in SystemC/C++ or MATLAB. HLS tools are expected to synthesize this ...
In a sense, it sounds like that’s another facet of computational thinking that’s more relevant in the age of AI—the abstractions of statistics and probability in addition to algorithms and data ...
4d
Nous Research's NousCoder-14B is an open-source coding model landing right in the Claude Code moment
B, an open-source AI coding model trained in four days on Nvidia B200 GPUs, publishing its full reinforcement-learning stack as Claude Code hype underscores the accelerating race to automate software ...
Ralph Wigum keeps coding work moving by reading prior outputs, ideal for greenfield specs and batch cleanup, giving steady, ...
Abstract: Deep reinforcement learning (DRL) facilitates efficient interaction with complex environments by enabling continuous optimization strategies and providing agents with autonomous learning ...
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