Category: Artificial Intelligence (AI)

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Artificial Intelligence (AI) provides a lot of benefits to various fields such as finance, retail, agriculture and farming, healthcare, and education. AI in schools has the potential to transform the way students learn and instructors teach. By implementing AI in the classroom, students are getting ready to compete in the digital world. AI curriculum helps improve the creativity of students and fosters critical thinking and problem-solving skills. AI curriculum for schools improves the learning process and makes things easier for teachers, allowing them to focus on students.

 

AI curriculum for schools, students, and teachers

 

• Bringing AI into the classroom necessitates meticulous conceptualization. 
• Developing a school policy that defines criteria for efficiently using AI is an essential starting point since it may provide students with strategies for knowing how to utilize AI technologies in an effective manner. 
• Once these standards are in place, instructors will be able to integrate AI into the curriculum for a broad range of activities such as using ML algorithms for individualized analysis of student performance. 
• In today’s digital world, where we are surrounded by AI-powered gadgets, having an AI curriculum is a must.

 

Benefits of using AI in schools

There are several benefits of using AI in schools for students, teachers, and schools.

 

For students

Personalized learning

• The use of AI in classroom can help provide personalized learning experiences to students depending on their strengths and weaknesses. 
• AI systems may perform an assessment of student data and adjust to their learning patterns, delivering personalized feedback and recommendations based on their specific needs and talents. 
• This can help  keep learners interested and motivated, resulting in better academic achievement.

 

Interactive learning process

• The use of AI in schools can make the learning process more fun, interactive, and engaging for learners.
• Through the use of AI chatbots or virtual simulations generates curiosity in students and enables them to learn certain subjects better by creating immersive experiences.
• For example, many students find math difficult and boring. However, by using AI in the classroom, learning math can be quite interesting.

 

Prepares students for the digital world

• Another advantage of introducing AI in schools is that it allows students to have a better knowledge of this fast changing technology. 
• Teachers may assist students acquire an informed viewpoint on AI by introducing it into the curriculum, preparing them for the hurdles and opportunities that lie ahead in the digital era. 

 

Developing 21st century skills

• Using AI in the classroom can also help pupils learn essential 21st-century abilities like problem-solving, communication, leadership,  critical thinking, and collaboration. 
• Such skills are vital to be successful in today’s age of technology.
• These skills can be nurtured via hands-on experience with artificial intelligence tools and apps.

 

For schools and teachers

 

Make informed decisions

• AI algorithms have the power to analyze a large number of data sets.
• The results obtained from such analysis help teachers and the top management in school to make informed data-driven decisions.
• The information may be pertaining to parameters such as attendance of students, their performance, demand for courses, etc.

 

Saves valuable time

• Be it the teachers or school staff, a lot of time is unnecessarily spent on unproductive activities.
• By implementing AI in schools, a lot of the administrative tasks can be automated.
• Thus, time saved in monotonous activities can be utilized for doing something more productive.
• For example, with AI in schools, teachers can focus on making learning more interactive and effective for students.

 

Improve security

• Implementation of AI in school helps improve the safety and security through intelligent surveillance systems. 
• The various AI systems and cameras in school ensure that the students and staff are safe from any threats and vulnerabilities.

 

Understanding the challenges of implementing AI in schools

 

There are numerous benefits of using AI in the classroom for everyone. However, there are certain challenges in its implementation.

 

Need for technical understanding

• One of the major challenges in the implementation of AI in schools is the need for technical knowledge.
• Many teachers lack practical hands-on knowledge of AI.
• In order to effectively implement AI in their teaching practical, they require the necessary professional training and support.
• The school must organize professional training programs to help teachers understand and adopt AI in the classroom.

 

Ethical issues

• The adoption of AI in schools raises ethical concerns related to transparency, biasness, data privacy, security, etc.
• It is important for educators to be aware of the ethical issues about AI, and ensure that the students are protected.
• Responsible use of AI is what needs to be practiced in schools.

 

High cost

AI as a technology is quite expensive. Not all schools have the budget to purchase the AI resources and maintain them. Hence, they require 

 

Best practices for implementing AI in schools

Choose a trusted AI service provider

• The first step towards effective implementation of AI in schools is choosing a reliable and trustworthy service provider.
  
• The provider may be a startup company, a large organization, or even an NGO having practical knowledge about AI curriculum and use of AI in classroom.
  
• The service provider can help provide training and guidance to teachers and enable seamless adoption of AI in the classroom.
  
  

Begin small

• Rather than implementing an entire AI curriculum for schools, teachers must begin small and gradually make their way up.
• For example, they can connect AI with real-world applications, use AI for checking the papers of students, etc.

 

Collaborate with research institutions

• The field of AI is continuously expanding. 
• It is important for schools and educators to remain up-to-date with the latest technological advancements.
• Partnering with a research institution will help educators to the latest experiences and advancements in the classroom.

AI curriculum for schools has got tremendous scope and potential for transforming education for the learners. From providing personalized and immersive learning experiences to generating feedback for students, AI in schools can do a lot. Schools can unleash the revolutionary power of AI curriculum by carefully navigating the difficulties and implementing best practices, resulting in an equitable schooling system for all learners.

Artificial Intelligence In Retail

Artificial Intelligence (AI) has made significant changes in various industries. The retail sector is not an exemption. Artificial Intelligence in the retail industry has brought tremendous advancements in the industry.

AI is helping retailers in many ways. Artificial intelligence usage in the retail business allows retailers to offer improved shopping experiences to their customers. Due to high costs and less awareness of this cutting-edge technology, few retailers are not using AI.

Herein, you can get to know-

• How is AI used in the retail industry?
• What are the applications of AI in retail?
• Future of the retail industry with AI

What AI Can Do for Retailers?

The uses of AI in retail are incredible. AI in retail is empowering businesses to improve operational efficiencies with automation, intelligence, and transparency features of the technology.

AI use cases in Retail like improved decision-making, optimized inventory tracking & management, and demand forecasting are all attracting retailers to adopt and transform their traditional retail operations. Moreover, the use of artificial intelligence in the retail business allows retailers to offer an improved shopping experience to customers.

Let’s take a look at the top benefits of AI in retail business.

Top Benefits Of Artificial Intelligence In Retail Business

The future of either online or in-store shopping will be around AI. Modern AI technology benefits retail businesses in multiple ways. AI-powered retail solutions help retailers offer new business avenues and improve the customer shopping experience.

Further, with a blend of Machine Learning (ML), Deep learning, and predictive analytics techniques, AI apps in retail can efficiently process in-store customer experiences automatically and enable retailers to improve their services. This AI strategy for retail helps retailers improve overall service quality and increase customer retention rate.

Likewise, there are so many benefits of AI in retail. Let’s look at a few of the best applications of AI in retail industry.

Top 6 Real-world Applications of AI in Retail Industry

How does artificial intelligence help in retail industry?

For sending personalized customer recommendations, hassle-free in-store navigation, increasing visibility across supply-chain & logistics functions, better price prediction, and quick auto/scanner-enabled checkout, etc., are all a few of the best applications of AI in retail industry.

Let’s look at the top applications of AI in retail.

#1. Digital Racks for Apparel & Fashion Products

It is the best application of artificial intelligence in the retail industry. Using AI technology, virtual trial rooms and virtual shelves offer a more personalized experience to customers.

With this kind of AI apparel application, customers can easily find the best and perfect outfit. Hence, AI in the retail industry improves the shopping experience and helps customers select suitable products from a pool of fashion and apparel products.

#2. Quick Decision Making

Artificial intelligence in the retail business gives business insights to retailers for making quick decisions.

AI in retail helps customers to make quick decisions in buying products. AI-based virtual trail rooms with digital mirrors improve customer decision-making power. These intelligent retail systems help offline buyers in saving valuable time for online buyers too.With a touch-based screen, customers can select different options like accessories, shoes, etc. They can easily pick the products which look perfect to them. These services are not only for clothing, but beauty and cosmetic brands are also using AI. Artificial intelligence helps customers in checking how foundation or lipstick suits them.

USM develops Artificial intelligence retail apps for retail clients. Get a free product quote right now.

#3. Virtual or Digital Assistants

AI for retail has a bright future in the near term future. The deployment of AI technology has been growing in the market.

Using AI, NLP, and semantic analytics, retailers can provide quick and 24*7 support to their customers.

Retail stores are using touch screen panels and robots to improve the in-store experience of customers. AI in-store robots provide useful information to customers regarding product location and all a few of the benefits of using AI virtual assistants inside stores.

Thus, AI assistants for retailers can reduce the costs spent on their employees. This AI application for retail improves retail services, saves money, and attracts new customers.

#4. Enhanced Customer Support Using Chatbots

Artificial Intelligence has changed the retail industry. AI-based Chatbots allow retailers to engage their customers confidentially and efficiently. Using Chatbot applications, retail brands can process thousands of customer queries simultaneously.

In general, AI Chatbots for retail give an immediate response to user queries. They suggest and recommend customers just like a human. Human intelligence, along with AI Chatbots, is transforming the retail sector into digital.

#5. High Security Backed By AI

It is another best application of artificial intelligence in the retail industry. The modern and the best AI-powered security equipment enables retailers to capture customer acts inside the store. Thus, enhanced security and optimized services are ensured.

On the other hand, by using video analytics, retailers reduce thefts. Using footage captured by AI-powered security equipment, the retailers can do real-time monitoring. AI apps send security alerts to the admins so that the owners can take instant action.

#6. Robotics In Retail

The benefits of AI in retail are uncountable. AI Robot is one of them. Artificial intelligence robots for the retail industry are driving innovation in retail.

From logistics and supply chain, in-store operations, marketing, and sales to back-office operations, AI robots play a vital role in retail businesses. Speed and accuracy as capabilities, intelligent robots are altering the way of retailer businesses.

The best examples of artificial intelligence robots for the retail sector are:

• LoweBot, a retail service robot, helps customers navigate the store
  Location: San Francisco, California
• Tally Robot, an autonomous robot, keeps track of products list (quantity) on shelves
  Location: San Francisco, California
• Pepper Robot: It can interact with customers, navigates them, and respond to their queries
  Location: San Francisco, California, and Boston, Massachusetts

All the above applications are a few, but AI will completely control the retail industry in the coming years. Is your retail business is ready to adopt the true potential of AI? Get started!

#7. High Security Backed By AI

It is another significant benefit of using artificial intelligence in the retail industry. The modern and the best AI-powered security applications or surveillance systems enable retailers to capture customer acts inside the store, reduce thefts, and optimize security levels. Hence, AI-based real-time monitoring capabilities of AI apps. Such continuous monitoring potentialities of AI applications help retailers find suspicious activities and prevent losses.

How will AI benefit in the future for retailers and customers?

AI in retail brings automation and makes tremendous changes in the future. Here are a few concepts that make sense in the future of retail stores.

• No need to wait in a long queue
• No need to stand for hours for billing
• The concept of in-store drones will go viral
• AI-powered virtual in-store assistants
• Biometric technologies recognize the face of a customer soon expand in the future
• Physical retailers will embed more online functionalities to provide an online experience to the customers
• The concept of brain-computer interface

Why Retailers Should Adopt AI?

Most of us don’t wish long wait times when we visit retail stores. But, unfortunately, we have to stand in queue for billing for a long time. Artificial intelligence in retail will solve this burden.

Besides, we feel happy if we get personalized product recommendations and hassle-free checkout practices. Am I right?

Yes, AI will do this seamlessly.

As we discussed above, the applications of AI in retail offers outstanding business growth to retailers. AI brings retailer businesses online to retain customers and fuel their revenues.

The Future Of Retail With Artificial Intelligence

• AI is a more promising technology for retailers because of its efficiency. This AI technology avoids manual errors and provides accurate results. According to Forrester, the best AI applications will augment 70% of the workforce by 2025.
• The companies are observing profits with AI. Increased production rate, customer experience and satisfaction, and perfect delivery are few benefits of AI in the retail business. As per Tractica, AI retail solutions help to increase industry value to $36.8 billion by 2025.
• According to the global analysis, Artificial intelligence in the retail market is estimated to be US$ 27.2 billion by 2025. Driven by the changing customer preferences and their shopping patterns are the significant factors for this growth.

The above market values of AI for retail might go beyond estimated numbers with increasing demand for AI.

Therefore, a radical shift in the global retail industry with AI is guaranteed. And, we can say that AI is the future technology for retail.

ML in retail helps retailers in optimizing price structure, collecting customer information, and making logistic decisions. It reduces costs and builds long-term relationships with customers. Hence, Artificial intelligence and ML revolutionize the future of retail marketing.

Conclusion

The retail domains are interested in AI. They are looking to harness the power of AI technology in retail to grab business benefits. The use of artificial intelligence in retail ensures a blushing opportunity for retailers. AI makes retailers a strong competitor in the retail industry.

Now, it’s your turn. Are you a retailer? Redesign your retail store with AI products and services. USM is the best artificial intelligence service provider, based in Chantilly, Virginia, USA.

We design and offer intelligent retail solutions and strive to transform your hazy business approaches to digital and automated. Hurry up, expand your brand with retail intelligence!

USM is the best AI development company based in Chantilly, Virginia (USA). We design and develop intelligent retail solutions that transform your traditional operational ways.

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March 18th, 2024: Renowned filmmaker and producer Tyler Perry has put his $800 million expansion plans for his Atlanta studio on indefinite hold after witnessing the capabilities of OpenAI’s new text-to-video model, Sora.

The AI technology, which debuted on February 15, allows users to create video images from text prompts, potentially revolutionizing the filmmaking process.

In an interview with The Hollywood Reporter, Perry expressed his astonishment at Sora’s capabilities, stating, “Being told that it can do all of these things is one thing, but actually seeing the capabilities, it was mind-blowing.”

The planned expansion would have added 12 more sound stages to Perry’s 330-acre production facility, one of the largest in the United States.

Perry, known for his successful “Madea” film series, believes that Sora could significantly reduce the need for filming on location or building sets. “I no longer would have to travel to locations.

If I wanted to be in the snow in Colorado, it’s text,” he said. “If I wanted to write a scene on the moon, it’s text, and this AI can generate it like nothing.”

While acknowledging that Sora could enable filmmakers to produce movies and pilots at a fraction of the current cost, Perry expressed grave concerns about the potential impact on jobs in the entertainment industry.

“I am very, very concerned that in the near future, a lot of jobs are going to be lost,” he said. “It makes me worry so much about all of the people in the business. Because as I was looking at it, I immediately started thinking of everyone in the industry who would be affected by this, including actors and grip and electric and transportation and sound and editors, and looking at this, I’m thinking this will touch every corner of our industry.”

Perry admitted to using AI technology in two of his recent projects to avoid spending hours in aging makeup, but like other studios, he is still trying to navigate the implications of this rapidly evolving technology.

He emphasized the need for regulations to protect the industry and its workers, stating, “There’s got to be some sort of regulations in order to protect us. If not, I just don’t see how we survive.”

Looking beyond the entertainment industry, Perry called for a government approach to help everyone sustain employment in the age of AI.

“If you look at it across the world, how it’s changing so quickly, I’m hoping that there’s a whole government approach to help everyone be able to sustain,” he said.

As the entertainment industry grapples with the potential impact of AI technology on jobs and production processes, Tyler Perry’s decision to pause his studio expansion serves as a stark reminder of the challenges that lie ahead.

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Today, AI is employed in practically every field, and the tools given by AI in science and math  are no exception. Many of today’s science and mathematics investigations create so much data that no individual or group of people could ever keep up. AI is being unleashed by researchers, most commonly in the way of neural networks that are artificial. With the advancements in artificial intelligence, the implementation of  AI in science and math is going to be bigger and more important than ever before.

 

AI for science drug research and discovery

• The use of AI for science research and discoveries is one possible area of progress.

• For example, AI can assist in expediting the development of drugs by evaluating massive volumes of scientific data and uncovering possible drug ideas that human researchers may have overlooked.

• By studying the structures of various chemical molecules and compounds, forecasting interactions, and modeling effects of drugs in biological contexts, AI can aid in the identification of potential drugs.

 

Ask questions and get the relevant answers

• AI in science and math can help students ask questions and get the correct response to them.

• ChatGPT and Google Bard are the two recent advancements in artificial intelligence in which students can ask answers to specific questions or even ask the AI bot to frame questions to test their knowledge.

• For example a biology student may ask ‘Define flower’ in scientific terms.

• Answer by the AI bot could be something like this:

• A flower is defined as a condensed modified shoot specialized in sexual reproduction in Angiosperm plants.

• It is crucial for students to understand that whether AI in science or AI in math, students are expected to carry out their own research and not just use AI bots for getting answers.

 

Summaries and vital points

 

AI models are great for summarizing, providing bullet points, and conveying vital information.

The math or science students can give the text to be summarized, or they can ask the AI to search the information for them.

 

For example,

 

AI in science

Summarize, write all the key points and important structures of polymers in chemistry.

 

AI in math

Summarize the probability chapter and list of the basic probability formulae.

 

Data mining and pattern recognition

• AI can analyze massive volumes of data swiftly and uncover patterns that humans may fail to see right away.

• This is extremely useful for students, researchers, and scientists in astronomy, genetics, molecular biology,  computational geometry, and meteorology.

• AI in math can recognize patterns in vast datasets, which is very helpful in numerical theory research.

• It can aid mathematicians in their study of trends in mathematical sequences.

 

Problem solving automation

 

Virtual labs and simulations

• AI-powered models and simulated labs may give students hands-on experience while also assisting them in visualizing intricate topics.

• Students may use these tools to experiment with various scenarios and understand how science and math principles relate to real-life situations.

 

Bridging the gap between various academic disciplines

• AI can help students interact and exchange information more efficiently by bridging the divide between various scientific domains and disciplines.

• AI algorithms, for example, may be used to combine data from many technical domains such as physics, chemistry, biology, and mathematics in order to uncover new research possibilities and prospective areas of collaboration.

• AI can assist to expedite the pace of technological breakthroughs by breaking down boundaries between academic disciplines.

 

Limitations of using AI in science and math

 

AI models do not have up-to-date information

• AI models undergo training on data that only runs up to a specific date, which means that any novel findings and advances that occur beyond that date are completely undiscovered to the AI.

• For example, ChatGPT’s knowledge is confined to September 2021.

• This means that it can answer questions and has information about the events that have occurred only up to September 2021.

 

AI may give unnecessary (irrelevant) information

• The use of AI in science and math may provide correct information.

• However, many times, the information may be just too much or irrelevant.

• For example, if a student of Grade 8 searches for information about DNA (Deoxyribonucleic Acid), the AI bot may provide excess, irrelevant information of higher grades.

• This may make things much more complicated for the student.

 

AI can give incorrect responses

• AI tools like ChatGPT will undoubtedly make mistakes because they are continually changing language models.

• While utilizing them, it is vital to cross-verify the responses generated from reliable sources.

• The responses may have grammatical, arithmetic, factual, and logical mistakes.

• It is not always accurate for answering complex questions in specialized areas such as linguistics or mathematics, so keep these kinds of questions simple.

If the recent advancements in artificial intelligence are applied thoughtfully and correctly by researchers, scientists, and students, they can save valuable time and efforts. With the use of AI in science and math, novel paths of knowledge and information can be unlocked. The journey towards learning the so-called difficult subjects of science and math can be made more fun, interactive, and exciting.

5 Powerful Artificial Intelligence In Healthcare Use Cases

Role of Artificial Intelligence (AI) in Healthcare

The use of AI is not limited to any business division. Though being utilized in many sectors, applications of AI use cases healthcare are huge. The global healthcare sector remains one of the fastest-growing sectors in adopting AI.

With more focus on improving patient outcomes, hospitals are increasingly investing in artificial intelligence technology. AI, together with IoT and Cloud technologies, is becoming popular. It builds advanced healthcare solutions to assist physicians.

There are many benefits of AI in the healthcare sector. AI for automation, AI for radiology, AI for drug design, and AI for cancer detection are a few significant use cases of AI in healthcare.

Besides, healthcare companies are using AI virtual assistants to provide continuous services to patients at remote locations.

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Herein, we covered the top five (5) potential developments of artificial intelligence in healthcare.

Use Cases of AI in Healthcare

#1 AI-powered Robotic Surgery

Investments in AI-based robots are continuing to climb in the fast few years, especially in the healthcare sector.

Intelligent robots can analyze data from previous medical logs. Based on medical reports of a patient, robots can guide & control a surgeon’s instrument all through surgery.

This process will reduce the time of the patient’s hospital stay. Robot-assisted surgery minimizes surgical incisions, and hence it is considered as minimally invasive surgery.

Generally, using AI, robots use data from previous tasks to introduce new medical procedures. In addition, it was proven that the complication rate is less with AI-powered robotic surgery.

I hope you’ve heard about the da Vinci Surgical System. It is a robotic surgical system developed by Intuitive Surgical Inc., (an American manufacturer of robotic products). It can enhance the patient’s outcome with minimum surgical incisions. This intelligent system allows doctors to do virtual surgical processes with more confidence and control.

Further, robots automatically learn from medical records. Hence, the positive results delivered by intelligent robots are helpful for physicians.

#2 AI-based Virtual Nursing Assistants

It is one of the best use cases of Artificial intelligence in healthcare. AI virtual nursing assistants maintain a smooth interaction with patients. They provide solutions for patient queries and also helps physicians in knowing their patient’s conditions.

These assistants reduce hospital visits and also lessen the load on physicians. The value of AI-based virtual nursing assistants is approximately $20 billion per annum.

USM Business Systems provide employee/self-service mobility solutions for the healthcare industry. We create intelligent mobile solutions that reduce admin costs. Know more about what type of healthcare apps supports your business growth @ USM.

#3 Artificial Intelligence in Support Diagnosis

AI is playing a critical role in the healthcare industry. The healthcare segment is an open area for implementing intelligent technologies. Using AI tools and devices, healthcare service providers are providing improved healthcare services.

A noteworthy point is that the implementation of AI technologies in healthcare will helps physicians efficiently treat life-threatening diseases.

For instance, AI is highly using for detecting tumors. Few diseases are difficult to diagnose like oncology and cardiology diseases. However, AI-based diagnosis help doctors to provide treatment at the right time.

Besides, Machine Learning (ML) and deep learning algorithms also benefiting the healthcare industry. These technologies enable machines to learn from data and deliver insights into patient’s data. Hence, the doctors can check and analyze the severity level of the disease.

Likewise, AI-based wearables are developed to detect cardiac diseases in early phases. Thus, AI devices, together with IoT & cloud, avoids human errors and automates diagnosing process.

#4 Automate Administrative Tasks

AI in healthcare automates end-to-end administrative functions. It could help the healthcare industry to save approximately $18- $20 billion every year.

AI-powered machines are the best examples of artificial intelligence in healthcare for cutting admin costs. The AI systems are well-trained to perform all administrative tasks with more accuracy and efficiency.

#5 AI for Image Analysis

Manual image analysis takes a long time and leaves minimum human errors. But, Artificial Intelligence machines using deep learning can view and scan thousands of medical images simultaneously. AI systems for radiology detect patterns of various diseases. This feature of AI in healthcare allows radiologists to diagnose a disease exactly.

The role of AI in healthcare is not only limited to these healthcare applications. AI also be used for CT scans, drug discovery, pregnancy management, brand marketing, Management risk analysis, and many more.

USM has a proven AI solution for healthcare. Our patient data analytics solutions efficiently manage patient’s records. USM’s AI solutions bring a real-time communication platform where service providers and patients can interact 24*7.

Moreover, through Artificial intelligence-powered image analysis, healthcare service providers can also aid patients in remote locations.

Telemedicine service is the best example for this scenario. This innovative healthcare service allows patients to send images of rashes, cuts, etc., and get help from doctors to determine the disease and provide necessary treatment.

The future of AI in healthcare

The future of AI in healthcare will be around hybrid models. Over the next few years, AI handovers treatment planning, disease identification, and image processing. The faster adoption of AI in healthcare enhances operational efficiency, prevents risks, and delivers improved patients outcomes.

Conclusion

Health matters for everyone. Right?

When a physician saves minutes means that he is saving lives.

Artificial intelligence and machine learning technologies consume less time in detecting and analyzing diseases and health conditions. AI tools for healthcare supports service providers deliver faster services to their patients.

If you are looking for an AI solution for healthcare, USM is your best partner. Get your artificial intelligence solution for healthcare now!

 

Connect with our AI expert today. Let us know your ideas. We design an AI App (for healthcare) that makes you unique in the industry.

 

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March 20, 2024: Nvidia, the US chipmaker with a market value of over $2 trillion, has extended its lead in the artificial intelligence sector with the announcement of several groundbreaking technologies at its annual developer conference on Monday.

The company unveiled the “Blackwell” series of AI chips, designed to power the expensive datacentres that train cutting-edge AI models such as the latest generations of GPT, Claude, and Gemini.

The Blackwell B200 chip is a significant upgrade over Nvidia’s previous H100 AI chip, reducing the number of chips and power required to train a massive AI model like GPT-4 by 75%.

The company also introduced the GB200 “superchip,” which combines two B200 chips and Nvidia’s Grace CPU on a single board, offering “30x the performance” for server farms that run chatbots like Claude or ChatGPT, while reducing energy consumption by up to 25 times.

Nvidia CEO Jensen Huang showcased even larger configurations, such as the GB200 NVL72, a single server rack with 72 B200 chips connected by nearly two miles of cabling, and the DGX Superpod, which combines eight of these racks into a shipping-container-sized AI datacentre in a box.

In addition to the new AI chips, Nvidia announced Project GR00T, a foundation model for controlling humanoid robots.

This model, paired with the Jetson Thor system-on-a-chip, aims to create autonomous machines that can be instructed using natural language to carry out general tasks, even those they haven’t been specifically trained for.

“Project GR00T will help robots understand natural language and emulate movements by observing human actions – quickly learning coordination, dexterity, and other skills in order to navigate, adapt, and interact with the real world,” Huang explained.

Nvidia also entered the quantum computing sector with the introduction of a cloud service that uses its AI chips to simulate quantum computers.

While the service will not initially be connected to a real quantum computer, it will allow researchers to test their ideas without the expense of accessing rare and costly quantum hardware.

In the future, Nvidia plans to provide access to third-party quantum computers through the platform.

As Nvidia continues to push the boundaries of artificial intelligence and robotics, the company’s latest innovations showcase its commitment to leading the industry and shaping the future of these transformative technologies.