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
- 8MHz / 40MHz Pierce Oscillator - X-FAB XT018-0.18µm
- UCIe RX Interface
- Very Low Latency BCH Codec
- 5G-NTN Modem IP for Satellite User Terminals
- 400G UDP/IP Hardware Protocol Stack
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
- SNAP-V: A RISC-V SoC with Configurable Neuromorphic Acceleration for Small-Scale Spiking Neural Networks
- An FPGA Implementation of Displacement Vector Search for Intra Pattern Copy in JPEG XS
- A Persistent-State Dataflow Accelerator for Memory-Bound Linear Attention Decode on FPGA
- VMXDOTP: A RISC-V Vector ISA Extension for Efficient Microscaling (MX) Format Acceleration
- PDF: PUF-based DNN Fingerprinting for Knowledge Distillation Traceability