What are the latest trends in artificial intelligence for 2025?
Last Updated: 25.06.2025 00:01
Some of the latest AI trends in 2025 include generative AI, AI agents, multimodal AI, quantum computing, and edge computing.
To use Google Assistant, you can say "Hey Google" followed by your request. For example, you can say "Hey Google, set the temperature to 75 degrees".
Chatbots
Google adds AI features to Chromebook Plus devices - TechCrunch
Because data is processed close to its source, edge computing enables fast, near-in...
Siri is a virtual assistant that uses voice recognition and artificial intelligence (AI) to perform tasks for users. It's available on Apple devices like iPhones, iPads, Macs, Apple TVs, and Apple Watches.
Quantum computers can process information exponentially faster than classical computers for specific tasks.
Which tool is used in artificial intelligence?
Amazon's Alexa and Google Assistant:
An AI-powered personal assistant from Amazon that can play music, control smart devices, and answer questions
Drug Discovery:
Why has no country adopted the SA80/L85 rifle?
Siri:
Intuitive Surgical's da Vinci, a surgical system that provides precision and control in surgeries beyond human capabilities
Customer service:
Et maxime modi eaque sint iure.
Smart shopping assistants can see and respond to products that customers are interested in.
Noise and Error Correction:
AI can analyze data to forecast future fashion trends.
AI can identify new drug candidates by analyzing large amounts of data.
Quantum computers can simulate complex quantum systems much more efficiently than classical computers, enabling detailed modeling of molecules, materials, and other phenomena crucial for research and development in fields like chemistry and materials science.
Edge computing in AI, also known as Edge AI, is the use of AI algorithms and models on local devices instead of in the cloud. This allows devices to process data quickly and make decisions in real time.
With a housing crisis going on, should we make owning properties illegal?
These are discussed here.
Generative AI
Can be controlled with voice commands to perform tasks like playing music, providing information, and adjusting the lighting
Top Federal Reserve official promises major overhaul of US bank regulation - Financial Times
AI-powered chatbots that can provide personalized responses to customers.
1. Generative AI :
Amazon's Alexa is a virtual assistant that uses artificial intelligence (AI) to understand and respond to voice commands. Alexa uses natural language processing, machine learning, and other AI technologies to perform tasks.
SFPD arresting dozens in 2nd night of mass protests against ICE - Mission Local
Find the weather, traffic, directions, nearby attractions, and more
Surgical robots
Examples of multimodal AI
Why do men say women hit the wall at 24?
This can revolutionize content creation in marketing.
AI can analyze historical data and trends to predict demand for products.
Home automation:
New Chemical Kills 95% of Termites and Can’t Harm Humans - SciTechDaily
Enhanced Simulation Power:
Environmental management:
4. Quantum computing
Get a summary of your exercise activity
Get news updates and sports scores
DALL-E:
Healthcare:
By simulating molecular interactions with high accuracy, quantum computers can help identify potential drug candidates faster and more effectively.
Google Assistant:
Google Gemini:
Exercise:
Banking chatbots:
Google Assistant
Multimodal AI can perform more complex tasks and make more accurate predictions than unimodal AI systems, which only process one type of data.
Examples of Google Assistant tasks
Demand prediction:
News and sports:
2. AI agents
Examples of AI agents include personal assistants, chatbots, surgical robots, and generative AI.
Video game development:
AI can monitor and manage pollution and natural disasters.
Generative AI can help businesses save time and money by automating tasks like content creation and data analysis.
Quantum systems are susceptible to noise, which can affect computation accuracy, requiring robust error correction methods.
AI-powered chatbots on company websites that can address inquiries, offer assistance, and provide personalized solutions
AI-powered tools like OpenAI's GPT-4 can create content like text, images, and videos.
An image generator that can create detailed images based on text descriptions. It uses neural networks and deep learning algorithms.
Apps:
Important Considerations:
Multi-agent collaboration
Drug discovery:
Alexa:
5. Edge computing :
Designing novel materials with desired properties by simulating their atomic structure at a quantum level.
This can increase opportunities for seamless interaction with virtual agents.
ChatGPT:
Fashion trend forecasting:
Multimodal AI can enhance user experiences by enabling more natural interactions. For example, users can upload photos or audio clips to get help troubleshooting or find recipe ideas.
Key points about Quantum Computing AI:
Real-time processing:
Launch apps, perform tasks, and access content
Can receive a photo and generate a written recipe, or vice versa.
An AI-powered personal assistant from Apple.
Multimodal AI models can take many types of data as input.
Quantum computing is a multidisciplinary field comprising aspects of computer science, physics, and mathematics that utilizes quantum mechanics to solve complex problems faster than on classical computers. The field of quantum computing includes hardware research and application development.
Cryptography:
Multimodal AI is a type of artificial intelligence (AI) that can process and integrate multiple types of data, including text, images, audio, and more.
AI can understand both the words and emotions of customers
Material Science:
Packages:
AI can help customer service agents by accessing and synthesizing information quickly.
Local information:
Customer service:
Generative AI is a type of artificial intelligence (AI) that can create content, analyze data, and perform other tasks. Some examples of generative AI include:
3. Multimodal AI
An AI-powered personal assistant that can understand needs and respond accordingly
AI can create game environments, characters, and storylines.
Potential applications
A branch of artificial intelligence that creates new realistic and creative materials
Example Applications:
Early Stage Development:
An artificial intelligence (AI) agent is a software program that can interact with its environment, collect data, and use the data to perform self-determined tasks to meet predetermined goals
Multimodal AI is expected to become even more powerful and transformative in the future.
Financial Modeling:
Track packages online
Control your smart home devices
Reminders and alarms:
AI-powered chatbots in healthcare that can guide patients through insurance claims and manage prescription refills
An AI chatbot that can interact with users in natural language. Users can ask it questions, request text in different styles, and more.
Answer questions using Google search
A dynamic process that brings together agents from multiple business functions to achieve a common objective
Hybrid Approach:
Search:
Quantum algorithms can tackle complex optimization problems, like finding the best route in logistics or optimizing investment portfolios, by exploring multiple solutions simultaneously due to superposition.
Google Assistant is a virtual assistant software application developed by Google that is primarily available on home automation and mobile devices. Based on artificial intelligence, Google Assistant can engage in two-way conversations, unlike the company's previous virtual assistant, Google Now.
Set reminders and alarms
AI agents can perform tasks like IT troubleshooting and workflow optimization.
Retail:
Breaking current encryption methods by factoring large numbers efficiently using Shor's algorithm, while also developing new quantum-resistant encryption techniques.
Personal assistants
Key points about edge computing in AI:
Optimizing investment portfolios and assessing risk more accurately by leveraging quantum algorithms to analyze complex financial data.
Computer vision can analyze medical images while NLP processes patient records
Most current quantum AI applications use a hybrid model, where classical computers handle data preprocessing and post-processing while utilizing quantum computing for the computationally intensive core calculations.
Optimization Problems:
These agents can enhance output and decision-making in sectors like banking and healthcare.
Quantum computing technology is still in its early stages, and building large-scale, commercially viable quantum computers is a significant challenge.