Category robots in business

In the current AI zeitgeist, sequence models have skyrocketed in popularity for their ability to analyze data and predict what to do next. For instance, you've likely used next-token prediction models like ChatGPT, which anticipate each word (token) in a sequence to form answers to users' queries. There are also full-sequence diffusion models like Sora, which convert words into dazzling, realistic visuals by successively "denoising" an entire video sequence.

Researchers develop an AI-driven video analyzer capable of detecting human actions in video footage with precision and intelligence.

In a new study, humans displayed sympathy towards and protected AI bots who were excluded from playtime.

Toyota Motor Corp.'s research unit and Hyundai Motor Co.'s Boston Dynamics are joining forces to speed up development of humanoid robots with artificial intelligence.

Within its new Responsible Innovation initiative, researchers at Penn Engineering discovered that certain features of AI-governed robots carry security vulnerabilities and weaknesses that were previously unidentified and unknown. The research aims to address the emerging vulnerability for ensuring the safe deployment of large language models (LLMs) in robotics.

How will the drive actually behave in the real-life application? For brushless DC-motors from FAULHABER, this question can be answered without any hardware whatsoever.

How To Make AI Voice Assistant App?

Artificial Intelligence (AI) personal voice assistants for android have a wide scope in this digital world. Now, we have many virtual voice assistant applications like Bixby, Siri, Cortana, and Ok Google. These advanced voice assistants are making our lives more luxurious and simpler. Undoubtedly, these AI-powered virtual apps will occupy many parts of our lives in the future.

We are aware that 99.9% of android mobiles support AI virtual voice assistant apps. Personal assistant apps for android have been popularizing day over day. It’s a hot topic among tech leaders.

Initially, Siri is the best voice assistant app for android. As technology is advancing, there are plenty of alternatives to Siri that have flooding in the market.  The ultimate goal of all voice assistants is to make your life simpler.

• Top 6 Artificial intelligence apps for android.
• What technologies used to develop a voice assistant app?
• How much does it cost to develop an app like Cortana?
• Enterprise-level benefits of using voice assistants
• Top 5 predictions for the future of AI-based voice assistants

Recommend: Top 13 Artificial Intelligence Apps for iOS and Android

Best 7 AI Virtual Assistant Apps for Android

Here the list of a few best AI apps for android. Let’s have a look into it.

#1 Google Assistant

Is there something an android assistant app like Siri?

Yes, we have Siri like assistant app for android.

As demand for Siri type apps is increasing, mobile app development companies are focusing on delivering virtual assistants that hit Siri capabilities.

Google Assistant is the best Siri alternative for android. Google voice assistant app for android is released in May 2016. It has a plethora of smart features and offers great compatibility with smart lights. Thus, Google assistant is now the best Siri like virtual assistant app for android users

Google Assistant recognizes and understands voice commands. You can simply activate the smart personal assistant with the “OK, Google” voice command.

The best thing is, the latest version of the Google Assistant app seamlessly works with iOS/iPhone. It works with Siri. With the “Hey Siri, OK Google” voice command, smart Siri activates your Google assistant.

Thanks to AI technology.

Recommend: Know How to make your own AI-based virtual voice assistant, Siri

If you would like to taste the benefits of smart AI virtual assistants, talk to USM. We deliver an AI app like Siri or Google assistant within a promised time frame.

Get a free quote now!

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#2 Cortana

Cortana is the best personal virtual assistant app. This android Cortana app records your important data like videos, images, and many more. It syncs your smartphone and PC. You can track your important files from your smart device.

It also helps to get information about your favorite TV shows, sports, and more on your smartphone.

#3 Robin Personal Assistant

Robin is an AI personal voice assistance app. This app is a well-known AI app for iOS and Android users. It allows users to send SMS without touching the phone and send it through voice.

You can also get GPS navigation, set reminders by this Robin app. According to the requirements of the users, this AI-driven app updates itself.

#4 Hound

It is the best AI-powered mobile voice assistant app, and this android app is something like Siri. It includes all standard functionalities of maximum voice assistants and provides improved intelligent services. Like Siri virtual assistant, this voice assistant application helps android users in booking hotel rooms, searching for music, playing some interactive mobile games, etc.

#5 FaceApp

FaceApp is an ideal AI-driven app for Android and iOS. It is proficient in changing complete looks like a smile, hairstyle, and many other features on the face.

USM has delivered hundreds of AI mobile apps for androids. Our top-notch AI-driven solutions for different industries are trendy in the market. Let us know your app ideas. We bring them into reality J

#6 Dragon Mobile Assistant

It is one of the best voice command apps for android users. This intelligent personal voice assistant for android understands your queries related to stock and responds with the best stock quote and its past data. Dragon mobile assistant app operates even if the screen is locked. It helps you to customize your mobile device to your voice.

#7 Jarvis

Jarvis is one of the best virtual assistants for Android users. It provides updates on weather status, news, calls, and SMS text. Accordingly, this artificial intelligence-powered personal phone assistant app helps you in doing your tasks like Wi-Fi on/off, Bluetooth on/off, set alarms, sends notifications and plays your favorite music, and so on.

Know more about Artificial Intelligence apps that you can download from Google Play Store.

Best Technologies To Develop An Android Voice Assistant App?

The below are the few major intelligent technologies used to develop voice assistant apps for 2021.

•  Voice/ Speech to Text (STT)

Voice assistant means that it takes the assistance of your voice to offer excellent performance.  This STT technology plays a vital role in converting your voice commands to text. Later, it processes text using Sphinx (speech recognition library) and CMU.

Recommend: Know how to create your own AI-based virtual voice assistant, like Siri

•  Text to Speech (TTS)

It takes the text or images and converts them into human understandable speech. This AI-technology is perfect when you want to know the exact pronunciation of a word.

• Intelligent Tagging and Decision Making

This technology makes it easier for the voice assistants to understand the user request. For instance, if you give a voice command for the latest Bollywood songs, the system provides a list of beautiful songs.

• Image Recognition

It is one of the necessary technologies to add significant features to a voice assistant app. This intelligent android app technology can identify people, places, and objects using AI and machine learning algorithms. In-built algorithms can efficiently recognize images using a camera system.

•  Noise Control

This technology reduces the background noise and lets you recognize the correct voice. If you wish to develop the best own AI personal assistant apps for android or iPhone, this feature offers a more personalized experience to the users.

•  Voice Biometrics

While creating your voice assistant, voice biometrics adds a security feature to your app. This technology identifies the voice and analyzes whether it is authorized to the system or not.

• Speech Compression

This technology helps the users to compress the voice information and briefly send it to the server. Without any delay, it fastens the performance of your voice assistant application. You can apply the G.711 standard to apply this feature.

• Voice Interface

When the user listens and replies to the request, the voice interface comes into the picture. As a developer, you have to set the speech rate and way of speaking, etc. For the visual part, you have to choose the data visual representation that the user is supposed to see on the screen.

How much it cost to develop a voice assistant app for android?

Honestly, no one can estimate the final cost to develop a voice assistant apps for android. It depends on the features it has.

USM has immense experience in delivering the most advanced android AI virtual applications. We quote every app with reasonable pricing.

Get a free quote now!

Now, we will have a look into how voice assistants benefit businesses.

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What are the business benefits of voice assistants?

The voice assistants are not only good at meeting your personal needs. The next-gen AI-enabled voice technology meets the desired needs of an enterprise as well.

We found that the usage rate of talking assistant apps like Siri for Android and iOS is moving forward rapidly. It was proved that over 80% of businesses are gaining competitive advantages by integrating voice assistants into their operations.

The below are a few of the key benefits of deploying AI voice assistant for your business.

• Enhances consumer personalization
• Augment human talent
• Improves marketing efficiency
• Provide improved insights to the marketing team
• Improves product sales
• Offers efficient problem-solving abilities

These benefits are attracting businesses to make their investment in popular voice technology. Apart from the above-listed benefits, integrating voice assistants help enterprises to maintain streamlined operations.

If you are looking to improve business productivity using voice assistants, contact USM Business Systems today. We make everything possible without compromising in quality and accuracy.

The future scope of AI-based voice assistants

The biggest tech brands such as amazon and google are fueling their business using voice assistants. These are not only permitted to tech industries, other sectors like healthcare, banking, and retailers are also benefiting by integrating these digital voice assistants into their businesses.

What researchers are forecasting about voice command assistants future?

• Modernized conversations

Developers are focusing on delivering customer-centric assistants that offer modernized conversations. Voice assistants are more advanced than earlier. For instance, Alexa and Google voice apps woke up when the user calls them with a name or command.

• Personalized individual Experience

The digital personal voice assistant apps using AI offer more personalized services. For instance, Google Home, a personal voice assistant can differentiate individual voices in a family. It supports up to six unique voices.

• Search Behaviors of Users

Modern voice assistants save a lot of time spend in typing text to start our search.

•  Touch Interaction

The integration of voice and visual capabilities will provide a seamless experience to the users. It allows users to get more interacted with digital assistants.

•  Security

Smartphone users have a major fear regarding the privacy and security of innovative voice assistant apps. Moreover, voice payments will be going to expand aggressively in the future. So, companies need to be more focused on providing more secure platforms for users.

Conclusion

USM Business Systems is the leading and best Artificial Intelligence Development Company. We have highly experienced AI developers who gained hands-on best practices in using various advanced technologies. Feel free to discuss today your AI project! We will promise the best and more advanced AI solution for your business growth.

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With industrial robots’ hourly operating rate of $2500, the financial impact of their failure can escalate quickly. Thus, it is crucial to avoid such technical disruptions in operations, whether it involves one singular robotic arm or several hundred industrial robots.

Engineers have developed a new system for full-body motion capture -- and it doesn't require specialized rooms, expensive equipment, bulky cameras or an array of sensors. Instead, it requires only a smartphone, smartwatch or earbuds.

Researchers explore how the domesticated flightless silkworm moth (Bombyx mori), a prominent insect model in olfactory research, uses wing flapping to manipulate airflow, enhancing their ability to detect distant pheromones. These findings highlight how moths guide pheromones to their odor sensors in antennae, and suggest potential applications for designing advanced robotic systems for odor source localization. This could inspire future innovations in drones and provide design guidelines for robots to locate odor sources.

Researchers have unveiled a vision system inspired by feline eyes to enhance object detection in various lighting conditions. Featuring a unique shape and reflective surface, the system reduces glare in bright environments and boosts sensitivity in low-light scenarios. By filtering unnecessary details, this technology significantly improves the performance of single-lens cameras, representing a notable advancement in robotic vision capabilities.

Penn Engineers have developed a new algorithm that allows robots to react to complex physical contact in real time, making it possible for autonomous robots to succeed at previously impossible tasks, like controlling the motion of a sliding object.

The silkworm moth (Bombyx mori) is an insect that no longer flies due to domestication. The males use their antennae to detect pheromones emitted by females and respond very acutely, and have been used as model insects for the study of their odor source localization.

How Much does Artificial Intelligence Cost?

Artificial Intelligence Cost

Today, the development of technology is rising at an exponential rate, bringing with it many possibilities and possibilities. Artificial Intelligence is one of the most buzzed words in companies in 2020 with a plethora of AI-based solutions that change business processes in several industries.
The benefits promised by Artificial Intelligence bring life-changing consequences. Time-consuming tasks in the past could be quickly completed with AI capabilities. With machine learning, AI continues to increase the accuracy and quality of outcomes.

AI can develop efficient business models, test abstract models while reducing the cost of labor.
AI systems have already designed for several sectors in the economic world. These AI solutions have been used to streamline business processes, expand employee productivity, optimize communication channels, manage customer contacts, and remove wastage.

The potential of AIs has encouraged large enterprises to consolidate their business to take advantage of these opportunities. On the other hand, small business owners have been stifled due to the expenses involved.

Related Links:

• Top Benefits And Risks Of Artificial Intelligence

• The Significance Of AI Technology By Industry

Future of Artificial Intelligence

AI technology is becoming widespread in our lives as many companies in different industries widely accept it. By providing creative insights and automating the daily routine works, every sector from manufacturing and logistics to healthcare and retail is reaping the benefits of Artificial Intelligence.

E-commerce platforms leverage AI algorithms to simplify the buying process and personalise their offers based on customer behaviour. with such a wide range of use cases all sectors, it is no wonder that Artificial Intelligence has an increasingly expanding market.

According to the market analysis reports of Scoop Junction, ‘the AI market across the globe will develop from 19.631 billion US dollars in 2017 to 176.547 billion US dollars in the year 2024.
If you are worried about how to make an artificial intelligence program and how much does artificial intelligence cost, be cool! You are on the right page.

The entire process of developing Artificial-Intelligence based solutions has various key features that determine the total cost.

Here is an Expert Guide On AI Business Consulting

Continue Reading!

To know the Factors Affecting the Cost of AI Solution Development

• Data Issues

AI-system development does not only depend on the coding skills of the trusted AI development team but also depends on the quality of data for the training algorithm model, which plays a vital role in the success of the project.

Because of this, a large amount of information is needed to detect hidden patterns between input data and output features. If businesses do not need enough data, it may be possible to obtain data from external services or collect more data which may take much time. Using data augmentation is also a better solution to raise the sample size.

However, it leads to the increasing cost of development. In addition, the data should be cleaned and stored in the appropriate warehouse to reduce the cost. Otherwise, we should take appropriate measures to clean up the data that can expand the cost of AI solutions.

It is easy to work with structured data, as the outcome is cheap. Therefore, before initiating the project, it is better to conduct a smart review on the internal databases of clients to find its quantity and quality.

In many cases, companies also need to be accountable for dealing with errors, missing data, defects, outliers, etc. In fact, most organizations typically capture and manage highly structured data (ex: video, audio, communication such as social media posts, chats, etc.) and needed more complex and sophisticated machine learning algorithms to utilize this type of data. This kind of project usually costs more to develop AI solutions.

• AI Algorithm’s Performance

Adequate algorithm performance is one of the major cost-effective factors because a high-quality algorithm requires a round of tuning sessions. This eventually raises the overall cost of the project.

The Algorithm’s performance rate varies according to the client’s business objective and the cost of incorrect AI predictions machines.

The mediator takes advantage of a system that generates 55% correct estimates because it already determines profitability. However, a 90.9% system planned at diagnosing a disease, treating false-positive patients is fatal, which is not satisfactory so far.

Many people got a doubt that why should we care about algorithm performance and data processing speed to understand how costs to develop an AI project?

The answer is quite simple: all AI applications rely on data and use it for the knowledge gaining process. So, it will take much time if the date is processed slowly.

The development cost of Artificial Intelligence (AI) may depend on various crucial factors that comprise the scope and size of the AI project. So, it is great to have an idea of the phases of the AI project.

Let us have a look at the following four essential phases

• Discovery and Analysis Phase

The phase aims to research the project requirements, goals and the feasibility of the project. In the initial stage, it is most important to both technology partners and customer companies to find whether Artificial Intelligence solution is required for your business.

This starts with conducting in-depth research on client’s operation processes, data assets, and business metrics as well as finding out exactly how an organization can address their key business issues using Artificial Intelligence.

If AI technology is required for your business, you can then develop a project by predicting the scope of work required for further process, i.e. prototype development. If all the necessary data, business metrics and client’s processes are in the proper format, this phase will just take 5 to 7 days.

• Prototype Implementation and Evaluation Phase

A prototype is a method of creating a business model to examine the proof of concept and feasibility as well. This could be a limited, drawing or text-based mock-up or advanced code-based prototype.

This form will depend on the project tools and complexity and tools (application simulation programs, screen generators, or design tools) used to develop it. Prototypes are shown to and discussed with the client.

It is completely based on project complexity and tools like application simulation programs, screen generators, design tools that used to develop it.

Prototyping is an awesome technique that enables IT professionals to validate design choices and requirements. Prototypes are cheap to produce, and easy to adjust. The prize and threats associated with software implementation are significantly reduced, as the requirements are discussed before the development process begins.

USM Business System – ranked in the list of best mobile app development companies in the USA, is trying hard to make this phase as budget-friendly as possible for their clients.

• Minimum Viable Product (MVP)

Based on the prototype results, we develop a real MVP product in this phase. MVP is based on the client’s data and exposes it to a small group of real customers as a simplified version of the end product solution.

Feedback is very similar because at this stage, it is not that much expensive to revise the system than it was fully developed. Average MVP costs vary depending on project complexity and size.

• Product Release

In the final stage, a product with predefined features is developed and then introduced into the market. Previous steps place a high emphasis on requirements validation and elimination. Therefore, the final product is made with fewer errors. The cost of this final phase is usually predicted in previous steps.

Types of AI Use Cases

AI development can vary significantly depending on the type of system being created. Here are common AI applications:

• Chatbots and Virtual Assistants: Basic conversational tools or advanced assistants like ChatGPT.
• Predictive Analytics: Used for forecasting trends in industries like finance or supply chain.
• Image Recognition: For applications such as facial recognition, medical imaging, or security.
• Natural Language Processing (NLP): Powers text understanding, translations, and content generation.
• Recommendation Systems: Found in e-commerce platforms and streaming services.
• Autonomous Vehicles: Combines AI with sensors and IoT for self-driving technology.
• Fraud Detection: Applied in banking and finance to detect anomalies and prevent fraud.
• Robotics: For automation in industries like manufacturing, healthcare, or retail.
• Personalized Marketing: Tailors advertisements or content based on user behavior.
• Speech Recognition: Converts spoken words into text, as seen in virtual assistants.

Top 5 Factors Behind AI Costs

1. Type of Software: Simple chatbots are affordable, while custom AI models with deep learning cost significantly more.
2. Level of Intelligence: Basic AI vs. advanced systems requiring fine-tuned and context-aware models.
3. Data Quality and Quantity: The cost of collecting, cleaning, and managing data impacts the project budget.
4. Algorithm Accuracy: Higher precision algorithms demand more computational power and testing.
5. Solution Complexity: Integration of multiple components, APIs, or advanced functionality increases costs.

So, How Much Does AI Cost?

In today’s world, with the more availability of various frameworks and tools for developing Artificial Intelligence solutions, AI technologies are becoming more accessible to businesses.

A few years ago, only the multinational tech powerhouse companies like Microsoft, Google, and Amazon could afford their AI solutions for businesses. Now, most of the companies like USM Business Systems can leverage the power of machine learning technology at a very feasible price.

Depending on the needs, goals, and size of your company, AI solutions may have a higher cost, which offers enormous benefits. In the very soon, rather than later, your company can beat your competitors and take advantage of Artificial Intelligence, like by using dynamic pricing to increase revenue.

With the above-provided information, I hope you well understood how will artificial intelligence affect our lives and got an idea about how to make an artificial intelligence program.

AI Project Cost Breakdown

• Simple AI Models: Starting at $5,000 for basic implementations.
• Complex AI Solutions: Ranges from $50,000 to $500,000+, often involving deep learning and advanced algorithms.
• Industry-Specific AI Applications:
  • Healthcare AI: $20,000–$50,000.
  • Fintech AI: $50,000–$150,000, due to regulatory and security needs.

Additional Costs

• Hardware: High-speed servers and GPUs may cost upwards of $10,000.
• Software: Specialized tools or frameworks for AI development.
• Development Team: Rates depend on location, ranging from $25/hour (in some regions) to $150/hour (in the US/Western Europe).

I truly believe in the below words of David Gasparyan, a President of Phonexa.
“No company is going to survive in the future without implementing, or at least gaining an understanding of, artificial intelligence and how it can be used to better grasp data they collect.” 
If you believe the same and would you like to have an AI solution for your business, Please reach us
We are happy to assist you!

In collaboration with robotics expert, TM Robotics, its South American partner Questt has developed an innovative vial packaging solution that addresses the limitations of manual processes and elevates productivity and performance for life sciences production lines.