Despite rapid generation of functional code, LLMs are introducing critical, compounding security flaws, posing serious risks for developers.
There are three critical areas where companies most often go wrong: data preparation and training, choosing tools and specialists and timing and planning.
Google rolled out Gemini 3.1 Pro yesterday, touting a 77.1% score on novel logic puzzles that models can't just memorize—more than double 3 Pro's result—and record marks for expert-level scientific ...
OpenAI says one of its teams has built an app with zero human-written code. Every single line of code in this app has come from Codex AI agents, notes the company in a blog post, highlighting that ...
Databricks and Tonic.ai have partnered to simplify the process of connecting enterprise unstructured data to AI systems to reap the benefits of RAG. Learn how in this step-by-step technical how-to.
Designing and deploying DSPs FPGAs aren’t the only programmable hardware option, or the only option challenged by AI. While AI makes it easier to design DSPs, there are rising complexities due to the ...
No fake news here, you really can program with musical notes if you want to!
Finding the right book can make a big difference, especially when you’re just starting out or trying to get better. We’ve ...
Mouse primary motor and somatosensory cortices contain detailed information about the many time-varying arm and paw joint angles during reaching and grasping, implying a 'low-level' role in ...