Even if I become the number one, there is an entity that cannot be defeated- Lee Sedol
In 2016, Google’s DeepMind threw down the gauntlet and challenged Go grandmaster Lee Se-dol to a match against their AI wonder, AlphaGo. Go is one of the most complex board games with more possible moves than there are atoms in the universe. Naturally, nobody thought a machine could hack it. But AlphaGo wiped the floor with the guy.
The historic match turned the AI and gaming worlds on their heads. Everyone was talking about the possibilities of artificial intelligence and how it could help us solve real-world problems. Today, AI is making complex decisions faster and more accurately than humans ever could. From cutting costs to accelerating business transformation, there are countless ways AI is making our lives easier every day.
Here are the top companies leading the charge:
- Clearview AI.
- Hugging Face
- Open AI
Amazon is one of the most well-known companies that use AI to manage its business more efficiently. Its recommendation engines play a significant role in helping customers buy products. With continuous AI, Amazon can understand the context and intent behind customer search queries, providing better recommendations to improve the overall customer experience.
Alexa, Amazon’s intelligent speaker, understands and respond to questions and requests. AWS also offers AI services that make it easy to work with your applications by providing recommendations and other features that can help improve your business.
Clearview AI is a facial recognition tool that can quickly identify a person’s face based on publicly available information. It is one of the most accurate facial recognition tools available. The US government uses AI in immigration and customs enforcement, while businesses like Walmart use Clearview AI to identify theft suspects.
Last year, Clearview AI rallied behind Ukraine to defend itself against the Russian invasion. The AI use cases included reuniting refugees separated from their families, identifying Russian operatives, and assisting the government in debunking false social media posts related to the war. Clearview AI has the highest accuracy rates of any facial recognition algorithm used in the US and was ranked in the top five of every category out of 650 algorithms worldwide.
Clearview AI also helped free a man wrongfully convicted of a drink-driving-related fatality in the US. This case was personal to Ton-That, who was invested in the outcome.
NVIDIA, founded in 1993, engineers processing units, software, and advanced hardware to power the AI factories of the future. From gaming to virtual reality to automobiles, NVIDIA has enabled millions of enterprises to grow, scale, and innovate with its AI. NVIDIA GPUs deliver low-latency services from the cloud, making things like virtual reality (VR), smart cities, cloud gaming, 360-degree immersive video, and connected drones possible. Leading telecoms use NVIDIA GPUs and CUDA to build optimized AI services for faster speeds and reduced latency. BMW Group uses NVIDIA technology to help with the logistics of the manufacturing process. NVIDIA Clara™ helps developers create AI-enhanced medical imaging applications that can speed up the process of acquiring, processing, analyzing, and reporting medical images.
DeepMind Technologies, a British research laboratory acquired by Google in 2014, is changing the world with its AI. DeepMind collaborated with the Cancer Research UK Centre at Imperial College London to develop AlphaFold for breast cancer diagnosis. DeepMind Health also developed a patient safety alert app that reviews test results for signs of acute injury and sends an alert to the healthcare staff in case of emergencies.
DeepMind’s WaveNet is an AI-based speech synthesis system that can generate realistic and natural-sounding speech. The product has been used in voice assistants and other applications where high-quality speech synthesis is essential.
DeepMind’s AI-based recommendation engine Deep Recommender is used by businesses to provide personalized product recommendations. It has been used in e-commerce platforms and other online services to improve the customer experience and increase sales.
Baidu Inc is one of the largest providers of Chinese language Internet services. Dubbed China’s Google, Baidu is known for being one of the leading organizations investing in R&D, with applications in the healthcare sector, autonomous vehicles, NLP, and facial recognition capabilities. Baidu has developed an AI-powered virtual assistant called Duer, which uses natural language processing to understand and respond to user queries. The company is also developing self-driving car technology and testing autonomous vehicles on public roads in China and the United States.
Baidu has built AI Libraries, which help students learn using DuerOS-powered conversational AI technologies, and AI Dormitories, which make students’ living environment easier.
Hugging Face is a renowned AI company that offers state-of-the-art NLP tools and solutions to create applications using machine learning. The platform allows users to exchange machine learning models and datasets, and their Transformers library is specially designed for natural language processing applications. Here are some of the most common use cases for Hugging Face:
Text classification: Offers pre-trained models for sentiment analysis, spam detection, and topic classification tasks. The models can be fine-tuned on specific datasets to achieve better results.
Question answering: Provides pre-trained models to answer questions based on context. These models can be used for customer support, chatbots, and information retrieval tasks.
Text generation: Offers language models to generate text in a variety of styles and formats. These models can be used for content creation, chatbots, and language translation tasks.
Named entity recognition: Provides pre-trained models that recognize named entities in text, such as people, organizations, and locations. These models can be used for information extraction and document analysis tasks.
Language Translation: Boasts pre-trained models that can translate text from one language to another. These models can be fine-tuned in specific domains to achieve better results.
Text summarization: Has pre-trained models to summarize long pieces of text into shorter versions, which can be helpful for tasks such as news articles, academic papers, and legal documents.
Conversational AI: Provided pre-trained models to create chatbots and virtual assistants that can understand natural language queries and generate relevant responses.
Hugging Face’s NLP tools are widely applicable in various industries and applications, including healthcare, finance, marketing, and customer service.
IBM’s products help businesses and organizations leverage the power of AI to improve their operations, enhance customer experiences, and drive innovation.
Watson, a suite of AI tools and services, is one of IBM’s most popular AI products. Watson includes natural language processing, machine learning, and other advanced AI technologies to analyze data, generate insights, and automate processes. IBM’s Watson Assistant can be integrated into chatbots and other customer-facing applications. It understands natural language queries, provide personalized responses, and even learn from previous interactions to improve future conversations. Watson Health is an AI system that can be used for medical diagnosis, drug discovery, and other healthcare applications. Watson Financial Services is designed for the financial industry to help companies manage risk, detect fraud, and improve customer experiences. IBM has also developed AI tools for data analysis, cybersecurity, and supply chain management.
H2O.ai, founded in 2012, provides open source top AI companies. Their platform helps enterprises to make and operate intelligent solutions with responsible AI. H2O.ai offers various AI platforms to help with data analysis and machine learning.
H2O Driverless AI is a platform that automates time-consuming data science tasks by automating advanced feature engineering, model selection, hyperparameter tuning, model stacking, and creating an easy scoring pipeline for deployment with low latency.
H2O.ai’s Sparkling Water is a powerful integration of two open-source platforms, Spark and H2O, that enables users to combine fast, scalable machine-learning tasks.
OpenAI’s research spans various fields, including machine learning, deep learning, natural language processing, computer vision, and robotics. The company has developed several open-source tools and platforms to use and develop AI applications.
Natural Language Processing: OpenAI’s language models, such as GPT-3, can be used for chatbots, language translation, and text generation.
Robotics: OpenAI is developing advanced robot hands and machine-learning algorithms to improve robot dexterity and problem-solving capabilities.
Healthcare: OpenAI’s AI technology is used to help diagnose diseases, identify treatment options, and personalize patient care based on individual patient data.
Finance: OpenAI’s machine learning models can be used for fraud detection, risk management, and predictive analytics in financial services.
Gaming: OpenAI’s algorithms have been used to play games such as Dota 2 and StarCraft II, potentially improving gaming AI and creating more challenging opponents for players.
Climate change: OpenAI’s technology can be used to analyze and model the effects of climate change, including predicting the impact of natural disasters and to develop solutions for reducing carbon emissions.
Meta AI has been working on improving various AI-based projects since its inception in 2015.
In addition to its work in virtual and augmented reality, Meta is involved in several other technology initiatives, including artificial intelligence, natural language processing, and robotics. Meta’s long-term vision is to create a “metaverse,” a fully immersive virtual world accessible to anyone with an internet connection.
Meta’s work in artificial intelligence includes the development of algorithms and technologies that enable machines to learn, reason, and make decisions based on data. The company is also exploring the use of AI in areas such as healthcare, climate change, and social impact.