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
- Flexible Pixel Processor Video IP
- Complex Digital Up Converter
- Bluetooth Low Energy 6.0 Digital IP
- Verification IP for Ultra Ethernet (UEC)
- MIPI SWI3S Manager Core 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
- RISC-V basics: The truth about custom extensions
- Unlocking the Power of Digital Twins in ASICs with Adaptable eFPGA Hardware
- Security Enclave Architecture for Heterogeneous Security Primitives for Supply-Chain Attacks
- relOBI: A Reliable Low-latency Interconnect for Tightly-Coupled On-chip Communication
- Enabling Space-Grade AI/ML with RISC-V: A Fully European Stack for Autonomous Missions