The X-AI age is characterized by the synergy of diverse forms of intelligence-human, natural, social, and artificial (AI). Complementing AI for Science (AI4Science), AI for technologies (AI4Tech) refers to the synergy between AI and technologies, where AI meets, enables and transforms technologies over domains, time, and generations. This AI4Tech ecosystem has been intensified with the advancement of ubiquitous AI paradigms (X-AI), in particular, human-like, generative, decentralized, humanoid, metaverse, behavioral, emotional, and multimodal AI. Such AI advances further transform and translate critical technologies that cannot be addressed by non-AI methodologies and technologies, going beyond direct applications of AI to specific domains. Over the AI history, the roles of AI4Tech have been increasingly augmented towards developing and advancing critical, new- and next-generation technological ecosystems.
X-AI and X-intelligences
The “X” in X-AI refers to:
- Ubiquitous encompassing many, omni-, any, every, or all-round;
- Variational changing, evolving, and progressing over time, space, or domain;
- Forward-looking including future-oriented and optimal; or
- Ecosystem-oriented.
Accordingly, X-AI has multiple perspectives and meanings, aiming to:
- Address omniscient AI goals and tasks,
- Tackle omni-AI scenarios and complexities,
- Develop omni-AI paradigms, and
- Achieve omni-machine intelligences.
X-AI aims for developing omniscient X-intelligences and diversified and complementary AI paradigms. Examples of these X-intelligences and AI paradigms include:
- Human intelligence and human-like/human-level AI
- Behavior intelligence and behavioral AI
- Data intelligence and data-driven AI
- Domain intelligence and domain-driven AI
- Symbolic intelligence and symbolic AI
- Situated intelligence and situated AI
- Embodied intelligence and embodied AI
- Connectionist intelligence and connectionist AI
- Nature-inspired intelligence and natural AI
- Social intelligence and social AI
- Organizational intelligence and organizational AI
- Network intelligence and network AI
X-AI tasks and capabilities include representation, analytics, learning, detection, recognition, identification, reasoning, inference, adaptation, communication, generation, reconstruction, recommendation, reinforcement, planning, search, reflection, and optimization.
Figure 1. X-AI: The new age of AI and the new-generation AI ecosystem with comprehensive goals, tasks, and paradigms to simulate machines with all-encompassing human-like, nature-inspired, social, and general intelligence
X-Tech
X-Tech specifically refers to the interconnected ecosystems comprising various stakeholders such as companies, providers, customers, and markets. Technically, X-Tech encompasses a wide array of domain-specific and targeted technologies tailored to various industries and sectors. X-Tech refers to any-tech, all-tech, next-tech, best-tech, and the technology ecosystem (tech-ecosystem).
Figure 2. X-Tech: The ecosystem comprising diverse businesses and their respective technologies, characterized by core functions and attributes essential to their merits and functions
The X-tech ecosystem comprises HealthTech, MedTech, CareTech, FinTech, InsurTech, BankTech, PayTech, TelTech, ManuTech, TransTech, AgriTech, FoodTech, CityTech, HomeTech, MarketTech, EcomTech, CustomerTech, ArtsTech, EventTech, GameTech, SocialTech, MediaTech, VisualTech, DefTech, SecureTech, SafeTech, RegTech, CompTech, and RiskTech, etc.
AI4Tech
AI4Tech refers to the symbiosis of X-AI interacting with X-Tech, where X-AI enabling X-Tech nurtures a new age of smart businesses and intelligent technologies. The AI4Tech ecosystem encompasses X-AI applied to domain-specific technologies. AI4Tech synergizes AI and technologies for both general and domain-specific purposes and areas.
The general AI4Tech ecosystem incorporates human intelligence, natural intelligence, social intelligence etc into developing new technologies, such as AI chips, AI agents, AI robots, AI drones, AI computers, AI vehicles, AI personal assistants, AI web systems, AI medicine, and AI office software. Domain-specific AI4Tech ecosystem encompasses X-AI to specific domains and applications, driving domain-specific technologies.
The interaction and synergy between X-AI and X-Tech cultivate domain-specific AI4Tech for specific domains and applications. As a result, AI4Tech has been instantiated into a wide spectrum of domain-specific AI4Tech areas, such as AI for health (AI4Health or HealthAI), AI for medicine (AI4Medicine, AI4Med, or MedAI), AI4Care (or CareAI), AI for biology (AI4Biology, AI4Bio, or BioAI), AI for finance (AI4Finance, AI4Fin, or FinAI), AI for banking (AI4Banking, AI4Bank, or BankAI), AI4Insurance (AI4Insure, or InsurAI), AI for payment (AI4Payment, AI4Pay, or PayAI), AI4Telco (AI4Tel, or TelAI), AI for manufacturing (AI4Manufacturing, AI4Manu, or ManuAI), AI for transport (AI4Transport, AI4Trans, or TransAI), AI for agriculture (AI4Agriculture, AI4Agri, or AgriAI), AI4Food (or FoodAI), AI for city (AI4City or CityAI), AI4Home (or HomeAI), AI4Market (or MarketAI), AI4Ecom (or EcomAI), AI4Customer (or CustomerAI), AI for arts (AI4Arts or ArtsAI), AI4Event (or EventAI), AI4Game (or GameAI), AI4Social (or SocialAI), AI4Media (or MediaAI), AI4Visualization (or VisualAI), AI4Defense (AI4Def, or DefAI), AI for security (AI4Security, AI4Secure, or SecureAI), AI4Safety (AI4Safe, or SafeAI), AI for regulation (AI4Regulation, AI4Reg, or RegAI), AI4Compliance (AI4Comp, or CompAI), and AI4Risk (or RiskAI).
Figure 3. AI4Tech: X-AI enabling X-Tech towards domain-specific AI for advanced technologies
AI4Bio, AI4Care, AI4Health, AI4Medicine
For digital health, care, medicine, and bioinnovation, AI4Tech can be instantiated into AI4Bio (BioAI), AI4Care (CareAI), AI4Health (HealthAI), and AI4Medicine (MedicineAI), etc. These AI4Tech areas are transforming existing businesses and services in biology, care, health and medicine.
They integrate advanced AI with disciplines and domains including neuroscience, health, medicine, care, drug, pharmaceutics, genomics, proteomics, system biology, animal biology, plant, and humanity, and hybrid technologies spanning over relevant areas including metabolic engineering, synthetic biology, AgrTech, FoodTech, and EnvTech, etc. AI Advances in broad AI paradigms and areas could play transformative roles in enabling AI4Bio, AI4Care, AI4Health, and AI4Medicine.
Augmented and new areas emerge for AI4Bio, AI4Care, AI4Health, and AI4Medicine.
- New AI4Bio science and technology: such as bioinformatics, bioengineering, bioanalytics, computational biology, CRISPR/gene editing, drug discovery, vaccine development, nanorobotics, and nanomedicine.
- New AI4Bio products: such as biochips, biofuels, biomass, bioprinting, biomaterials, biosensors, biochemicals, artificial organs, and nanosensors.
- New AI4Bio services: such as gene therapy, precision medicine, and bioremediation.
Figure 4. AI4Bio: AI advancing bioinnovation
Our Experience and References
Our experience in AI4Tech spans over many domains and areas, in collaboration with many government and industrial organisations, including
- AI4Taxation: such as for tax lodgement, recovery, prevention and forecasting
- AI4Welfare: such as for social welfare and security integrity, fairness and efficiency
- AI4IP: such as for intellectual property, patent, trademark protection, review
- AI4Finance: such as for procurement, trading, and investment
- AI4Health: such as for health services, care support, and insurance
- AI4Banking: such as for online banking, credit card and home loan business
- AI4Insurance: such as for health and car insurance
- AI4Telco: such as for home, mobile, and Internet services
- AI4Market: such as for sales, marketing, and logistics
- AI4Customer: such as for customer services and relationship management
- AI4Social: such as for social networks and media analysis
- AI4Regulation and AI4Compliance: such as for IPs and markets
- AI4Risk: such as for risk rating, fraud, and exception
References
- [1] Longbing Cao. AI4Tech: X-AI Enabling X-Tech with Human-like, Generative, Decentralized, Humanoid and Metaverse AI, 1-20, DOI:10.1007/s41060-024-00615-9, International Journal of Data Science and Analytics, 2024.