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
- NPU IP Core for Mobile
- NPU IP Core for Edge
- Specialized Video Processing NPU IP
- HYPERBUS™ Memory Controller
- AV1 Video Encoder IP
Related White Papers
- 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 White Papers
- Breaking the Memory Bandwidth Boundary. GDDR7 IP Design Challenges & Solutions
- Automating NoC Design to Tackle Rising SoC Complexity
- Memory Prefetching Evaluation of Scientific Applications on a Modern HPC Arm-Based Processor
- Nine Compelling Reasons Why Menta eFPGA Is Essential for Achieving True Crypto Agility in Your ASIC or SoC
- CSR Management: Life Beyond Spreadsheets