Will Generative AI Help or Harm Embedded Software Developers?
By Semir Haddad, MicroEJ
EETimes (October 2, 2023)
This year’s boom in generative artificial intelligence has made embedded software developers reimagine what AI can do. Speculation surrounding AI’s ability to amplify developer productivity by two, according to a 2023 report McKinsey published on developer productivity, has sparked excitement and captured our imagination. Pioneers like Microsoft and Siemens lead the charge with groundbreaking generative AI breakthroughs and cutting-edge deployment architectures, driving the democratization of this transformative technology.
As teams increasingly harness the capabilities of generative AI tools, embedded developers must understand and navigate potential accuracy, confidentiality and intellectual property concerns.
To read the full article, click here
Related Semiconductor IP
Related Articles
- A guide to VHDL for embedded software developers: Part 1 - Essential commands
- Guide to VHDL for embedded software developers: Part 2 - More essential commands
- Guide to VHDL for embedded software developers: Part 3 - ALU logic & FSMs
- Software forensics for embedded systems developers
Latest Articles
- LLM Agent-Based Design of RISC-V CPUs with FPGA-in-the-Loop Evaluation
- Automated Multi-Line Bug Repair Using Model Checker Aided LLMs: A Case Study on RISC-V Processors
- Cryogenic Recharacterization of a Commercial 22 nm FD-SOI Foundry Standard-Cell Library
- A 105 MS/s 4.18 nJ/inference 0.765 mm² Mixed-Signal Streaming ML Engine for Wireless Baseband in 12LP+ FinFET
- Agentic AI for Heterogeneous System Design Across Chip, Scale-Up, and Scale-Out Domains