8 Trends Shaping the Future of Computing in 2023
The future of computing is here, and I’ve been talking to the people making it happen. Here are eight major trends shaping the future of computing today.
Qbeast: Shaping the Future of Data Lakes for Big Data
Qbeast optimizes the organization of data lakes, making it faster and cheaper to handle big data and retrieve data samples.
SafeAD: Shaping the Future of Computer Vision for Autonomous Driving
SafeAD builds an AI system to analyze any driving situation and make large-scale autonomous driving a reality for cars.
TitanML: Shaping the Future of Neural Network Compression
TitanML uses algorithms inspired by quantum physics to compress large machine learning models in a way that doesn’t degrade their quality.
LightOn: Shaping the Future of Large Language Models for Enterprises
LightOn helps enterprises develop and host large language models for their specific use cases, keeping all of their data and prompts private.
Codesphere: Shaping the Future of Collaborative Cloud Development
Codesphere allows developing applications directly in the cloud, making it easy, efficient, and collaborative to deploy them.
MLReef: Shaping the Future of Collaborative Machine Learning
MLReef builds a platform to collaboratively develop machine learning models with several stakeholders, and bring them faster into production.
Kern AI: Shaping the Future of Data-Centric Machine Learning
Kern AI provides the tools to improve data quality, from fixing label errors to enriching data by metadata
QDC.ai: Shaping the Future of Optimization
QDC.ai makes it easier to use optimization software involving a wide variety of optimization algorithms – even from quantum computing.
CELUS: Shaping the Future of Automated Electronic Board Design
CELUS helps electronic engineers design new electronics by automating the schematics and PCB board design process using AI.