Companies Manipulating A.I. Systems for Competitive Advantage
March 10, 2020Multitask Learning
March 10, 2020Neuro-Symbolic A.I. Algorithms and Systems
The development of A.I. has been on two conceptual tracks since the 1950s: symbolic and non-symbolic.
The development of A.I. has been on two conceptual tracks since the 1950s: symbolic (machines use a base of knowledge and rules that represent concepts) and non-symbolic (machines use raw data to create their own patterns and representations of concepts).
Classic A.I. is the former, because it more closely represents how we understand human thought—and the original intent was to teach machines to think like us. Researchers are working on new ways to combine both learning and logic using neural networks, which would understand data through symbols rather than always relying on human programmers to sort, tag and catalogue data for them.
Symbolic algorithms will aid the process, which should eventually lead to robust systems that don’t always require a human for training.
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:
Advertising and Public Relations, Aerospace, Agriculture, Airlines, Alternative Energy Production & Services, Architectural Services, Auto Manufacturers, Banking, Beauty, Broadcasters, Radio and TV, Builders/General Contractors, Cable & Satellite TV Production & Distribution, Casinos/Gambling, Chemical & Related Manufacturing, Civil Servants/Public Officials, Clothing Manufacturing, Commercial TV & Radio Stations, Construction, Covid-19/ coronavirus, CPG, Cruise Ships & Lines, Defense, Doctors & Other Health Professionals, Drug Manufacturers, Education Colleges & Universities, Education Online, Education Trades, Electric Utilities, Entertainment Industry, Environment, Finance, Foreign & Defense Policy, Gas & Oil, Government - International, Government - National, Government - State and Local, Health Professionals, Hedge Funds, Human Resources, Information Technology, Infrastructure, Insurance, Law Enforcement, Lawyers/Law Firms/Legal Industry, Luxury Retail, Magazines, Manufacturing, National Security, News Media, Online Media, Pharmaceuticals/Health Products, Private Equity, Professional Services, Professional Sports, Radio/TV Stations, Real Estate, Retail, Telecommunications, Trade Associations, Travel Industry, TV Production, TV/Movies/Music, Utilities, Venture Capital, Waste Management, Work (Future of)