Global Rush to Fund A.I.
March 10, 2020Proprietary, Homegrown A.I. Languages
Companies are starting to build and release their own software packages now, as well as unique programming languages for A.I. applications.
Python is a leading language with lots of pre-built libraries and frameworks. Julia, a language developed by MIT, is an open-source language that focuses on numerical computing. And of course there’s Lisp, created by modern A.I. ‘s foreparent John McCarthy in 1958.
Companies are starting to build and release their own software packages now, as well as unique programming languages for A.I. applications.
Uber released its own probabilistic programming language, Pyro, which it wrote in Python.
It’s a move that signals likely fragmentation in the future of the A.I. ecosystem, not unlike our current rivalry of OSX vs Android, and earlier Mac vs PC camps.
Businesses will find it increasingly cost-prohibitive and difficult to switch between A.I. frameworks and languages.
Related trends
This trend is part of our section on Artificial Intelligence. Other trends in this section include:
- A.I. and Digital Dividends
- Prioritizing Accountability and Trust
- Ambient Computing Expands
- Ubiquitous Digital Assistants
- A.I. for Drug Development
- A.I. for Interviews
- Consumer-Grade A.I. Applications
- The New Mil-Tech Industrial Complex
- National A.I. Strategies
- The Race to Establish A.I. Rules
- Algorithmic Warfare
- Making A.I. Explain Itself
- Using A.I. in Critical Systems
- China’s A.I. Rules
- Artificial Emotional Intelligence
- Personal Digital Twins
- Problematic Data Sets
- A.I. to Catch Cheaters
- Algorithms Designed to Target Vulnerable Populations
- A.I. Still Has a Bias Problem
- A.I. Systems Intentionally Hiding Data
- The Rise of Undocumented A.I. Accidents
- Multitask Learning
- Generative Adversarial Networks (GANs)
- New Generative Modeling Techniques
- Probabilistic Programming Languages
- Machine Image Completion
- Hybrid Human-Computer Vision Analysis
- Predictive Machine Vision
- Automated Machine Learning (AutoML)
- Customized Machine Learning
- Graph Neural Networks
- Intelligent Optical Character Recognition
- A.I. for the Creative Process
- Generative Algorithms for Content Production
- Generating Virtual Environments from Short Videos
- Automated Versioning
- Automatic Voice Cloning and Dubbing
- Spotting Machine-Written Text
- Algorithmic Fact Checking
- Datamining Crowds
- Deep Linking
- Corporate Biometric Spoofing
- Bots
- Global Rush to Fund A.I.
- Algorithm Marketplaces
- Marketplace Consolidation
- Fragmentation
- Liability Insurance for A.I.
- Ambient Surveillance
- Creating 3D Models from Flat 2D Images
- Neuro-Symbolic A.I. Algorithms and Systems
- Real-Time Machine Learning
- Natural Language Understanding (NLU)
- Machine Reading Comprehension (MRC)
- Natural Language Generation (NLG)
- Real-Time Context in Machine Learning
- General Reinforcement Learning Algorithms
- Deep Learning Scales
- Faster and More Powerful Open Source Frameworks
- Reinforcement Learning and Hierarchical RL
- Continuous Learning
- Using A.I. to Speed the Process of Scientific Discovery
- A.I. in the Cloud
- Robotic Process Automation
- Digital Twins and Cognitive Twins in the Enterprise
- Robots with Cognitive Skills
- Advanced A.I. Chipsets
- Serverless Computing
- Proprietary, Homegrown A.I. Languages
- Proliferation of Franken-Algorithms
- Companies Manipulating A.I. Systems for Competitive Advantage
This trend is related to the following industries:
Aerospace, Agriculture, Airlines, Alternative Energy Production & Services, Auto Manufacturers, Bars & Restaurants, Builders/General Contractors, Casinos/Gambling, Chemical & Related Manufacturing, Clothing Manufacturing, Construction, Covid-19/ coronavirus, CPG, Cruise Ships & Lines, Defense, Drug Manufacturers, Education Online, Education Trades, Electric Utilities, Environment, Foreign & Defense Policy, Gas & Oil, Information Technology, Infrastructure, Insurance, Manufacturing, National Security, Trade Associations, Utilities, Waste Management, Work (Future of)