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
- Zigbee Transceiver PHY
- Data Flow Architecture IP
- AMBA SPI Controller MRAM Controller
- Ethernet MAC
- Protocol Bridges
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
- A Low-Latency ASIC Architecture for Real-Time Line Segment Detection
- BitFair: A 12nm Bit-Serial CNN Accelerator with Learnable Early Termination and Adaptive Bit Ordering for Ultra-Low-Power XR Vision
- A Flexible Sparsity-Aware FPGA Accelerator with Column-Wise Compression for Efficient CNN Inference
- Reducing Instruction-Fetch Energy in RISC-V for Embedded AI Processing via Dynamic and Static Loop Caching
- SPARC: Automated Root-Cause Analysis of Pre-Silicon Power Side-Channel Leakage in the Processor Design Flow