IEEE

Efficient Split Learning LSTM Models for FPGA-based Edge IoT Devices

Abstract: Split Learning (SL) recently emerged as an efficient paradigm for distributed Machine Learning (ML) suitable for the Internet Of Things (IoT)-Cloud systems. However, deploying SL on resource ...
IEEE

Challenges in FPGA Implementations of Cryptographic Algorithms: a Case Study of Evolution ...

Abstract: Hash functions today are ubiquitous in nearly all kinds of cryptographic applications. They can be found at the core of digital fingerprinting or watermarking and even in block or stream ...
Microsoft

Agent Lightning: Adding reinforcement learning to AI agents without code rewrites

AI agents are reshaping software development, from writing code to carrying out complex instructions. Yet LLM-based agents are prone to errors and often perform poorly on complicated, multi-step tasks ...
Wired

Instagram Will Start Letting You Pick What Shows Up in Your Reels

Meta is giving Instagram users a rare glimpse into why certain posts are showing up on their Reels, the platform’s feed of algorithmically curated videos. Starting today, users will now see a list of ...