What are the latest trends in artificial intelligence for 2025?
Last Updated: 29.06.2025 21:00
These agents can enhance output and decision-making in sectors like banking and healthcare.
Some of the latest AI trends in 2025 include generative AI, AI agents, multimodal AI, quantum computing, and edge computing.
A dynamic process that brings together agents from multiple business functions to achieve a common objective
What is your review of House of the Dragon Season 2 finale, Episode 8?
4. Quantum computing
1. Generative AI :
An AI-powered personal assistant from Amazon that can play music, control smart devices, and answer questions
Potential applications
Track packages online
Early Stage Development:
Would you recommend 'My Holo Love' as a good Kdrama for someone who is new to the genre?
AI can monitor and manage pollution and natural disasters.
AI can understand both the words and emotions of customers
Home automation:
Examples of multimodal AI
Intuitive Surgical's da Vinci, a surgical system that provides precision and control in surgeries beyond human capabilities
Designing novel materials with desired properties by simulating their atomic structure at a quantum level.
The #1 Underrated Vegetable with More Vitamin C Than an Orange, According to Dietitians - EatingWell
ChatGPT:
Generative AI
Optimization Problems:
Win a signed pink cycling jersey of Giro winner Simon Yates - Team Visma
Real-time processing:
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.
Because data is processed close to its source, edge computing enables fast, near-in...
Quasi consequatur unde doloremque saepe ut veritatis.
Drug discovery:
AI-powered chatbots that can provide personalized responses to customers.
A branch of artificial intelligence that creates new realistic and creative materials
What do you think about me (Aditya Krishna)?
Google Assistant
Breaking current encryption methods by factoring large numbers efficiently using Shor's algorithm, while also developing new quantum-resistant encryption techniques.
This can revolutionize content creation in marketing.
Find the weather, traffic, directions, nearby attractions, and more
Demand prediction:
Siri:
‘We’re right at the epicenter’ - Meduza
Example Applications:
Get news updates and sports scores
Chatbots
Apps:
Material Science:
Customer service:
I'm 35. What's the quickest way to grow my hair as long as females?
News and sports:
Quantum systems are susceptible to noise, which can affect computation accuracy, requiring robust error correction methods.
Examples of Google Assistant tasks
Why the U.S. tax bill's Section 899 could push European firms to list in the U.S. - CNBC
Environmental management:
Drug Discovery:
Banking chatbots:
Surgical robots
Control your smart home devices
An AI-powered personal assistant from Apple.
Multi-agent collaboration
These are discussed here.
AI can analyze data to forecast future fashion trends.
Launch apps, perform tasks, and access content
Can be controlled with voice commands to perform tasks like playing music, providing information, and adjusting the lighting
Computer vision can analyze medical images while NLP processes patient records
Smart shopping assistants can see and respond to products that customers are interested in.
3. Multimodal AI
Exercise:
Google Gemini:
Get a summary of your exercise activity
Quantum computing technology is still in its early stages, and building large-scale, commercially viable quantum computers is a significant challenge.
Search:
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.
AI-powered chatbots in healthcare that can guide patients through insurance claims and manage prescription refills
Enhanced Simulation Power:
Retail:
Multimodal AI is a type of artificial intelligence (AI) that can process and integrate multiple types of data, including text, images, audio, and more.
Important Considerations:
Reminders and alarms:
Noise and Error Correction:
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.
2. AI agents
Financial Modeling:
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.
By simulating molecular interactions with high accuracy, quantum computers can help identify potential drug candidates faster and more effectively.
Multimodal AI is expected to become even more powerful and transformative in the future.
Healthcare:
AI can help customer service agents by accessing and synthesizing information quickly.
Can receive a photo and generate a written recipe, or vice versa.
An AI chatbot that can interact with users in natural language. Users can ask it questions, request text in different styles, and more.
Local information:
Packages:
AI can identify new drug candidates by analyzing large amounts of data.
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.
Key points about Quantum Computing AI:
An AI-powered personal assistant that can understand needs and respond accordingly
AI agents can perform tasks like IT troubleshooting and workflow optimization.
Alexa:
Generative AI can help businesses save time and money by automating tasks like content creation and data analysis.
Cryptography:
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".
Quantum computers can process information exponentially faster than classical computers for specific tasks.
DALL-E:
Key points about edge computing in AI:
Amazon's Alexa and Google Assistant:
AI can create game environments, characters, and storylines.
Optimizing investment portfolios and assessing risk more accurately by leveraging quantum algorithms to analyze complex financial data.
Multimodal AI can perform more complex tasks and make more accurate predictions than unimodal AI systems, which only process one type of data.
Customer service:
5. Edge computing :
Video game development:
AI-powered tools like OpenAI's GPT-4 can create content like text, images, and videos.
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.
This can increase opportunities for seamless interaction with virtual agents.
Fashion trend forecasting:
An image generator that can create detailed images based on text descriptions. It uses neural networks and deep learning algorithms.
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.
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
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:
Examples of AI agents include personal assistants, chatbots, surgical robots, and generative AI.
AI-powered chatbots on company websites that can address inquiries, offer assistance, and provide personalized solutions
AI can analyze historical data and trends to predict demand for products.
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.
Multimodal AI models can take many types of data as input.
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.
Hybrid Approach:
Google Assistant:
Set reminders and alarms
Personal assistants
Answer questions using Google search