If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
In the first part of this series, we explored the capabilities of ChatGPT, a state-of-the-art language model developed by OpenAI, in assisting data scientists with tasks such as data cleaning, preprocessing, and code generation. In this second part, we will delve deeper into what ChatGPT generated and why it didn't work. We will discuss the specific challenges that come with using AI-generated code, and how to effectively address these issues to ensure the reliability and accuracy of the final product. Whether you're a data scientist or a developer, this post will provide valuable insights into how to use ChatGPT to improve your workflow and streamline your development process.
A team of researchers has developed a new framework which utilizes advanced machine learning and statistical algorithms to predict rare events without the need for large data sets. Scientists can use a combination of advanced machine learning and sequential sampling techniques to predict extreme events without the need for large data sets, according to researchers from Brown and MIT. When it comes to predicting disasters brought on by extreme events (think earthquakes, pandemics, or "rogue waves" that could destroy coastal structures), computational modeling faces an almost insurmountable challenge: Statistically speaking, these events are so rare that there's just not enough data on them to use predictive models to accurately forecast when they'll happen next. However, a group of scientists from Brown University and Massachusetts Institute of Technology suggests that it doesn't have to be that way. In a study published in Nature Computational Science, the researchers explain how they utilized statistical algorithms which require less data for accurate predictions, in combination with a powerful machine learning technique developed at Brown University.
Chinese enterprises increased patent filings for artificial intelligence products rapidly in the past couple of years. The companies holding the most active AI and machine learning patent families are now tech giant Tencent and search engine provider Baidu, ahead of U.S. firm IBM, South Korea's Samsung, Chinese insurance provider Ping An and former AI patent leader Microsoft. The latter company has been seeing one of its major AI investments come to fruition recently, as conversational AI bot ChatGPT by Microsoft partner OpenAI has been making waves. Microsoft swiftly announced another round of funding for OpenAI, rumored to be to the tune of $10 billion. As this chart based on the LexisNexis PatentSight directory shows, Tencent and Baidu became the largest patent owners in machine learning and AI in 2021, each holding more than 9,000 active patent families.
Co-founder & CEO at Square Off, a consumer robotics startup that specializes in developing and manufacturing of smart toys & games. The future of consumer robotics is bright and full of possibilities. As technology advances, robots are becoming more and more integrated into our daily lives, performing tasks that were once considered the exclusive domain of humans. From vacuum cleaners and lawnmowers to personal assistants and healthcare workers, robots are increasingly becoming a common sight in homes and businesses worldwide. One area where consumer robotics will soon be making a huge impact is in the home.
Microsoft is planning to release a new and improved version of their Bing search engine, in collaboration with OpenAI. The new Bing is expected to be much more popular and efficient than the previous version, and could even give Google Search a run for its money. Microsoft has invested a lot of money into the development of this new Bing, and it is hoped that the project will be beneficial for both parties involved.
Microsoft made a big bet on a nascent sector, Artificial Intelligence (AI), that could shape the future of tech and the crypto industry for years to come. The latter sector seems poised to benefit from the emerging trend and the billions flowing into its products and services. Today, Microsoft confirmed its plan to pour millions of dollars in capital into Open AI, the company behind the popular program ChatGPT, Dalle-E, and others. Thus, the company gave the first step in a tech race bound to heat up across 2023. In the crypto industry, several projects are trying to leverage blockchain, big data, and artificial intelligence to provide new solutions. A study from Trading Browser has revealed those projects attracting the most attention from users.
Well, that's one way to do things. According to a report from The Information(Opens in a new window), Apple's upcoming mixed reality headset could have a truly funky method for designing user-created apps. Put simply, users may be able to speak animated AR objects (like animals) and other elements into existence using Siri. This apparently might also include the ability to scan 3D objects using an iPhone to turn them into AR models. The Information also reported that users may be able to upload their created apps to the App Store. This would, obviously, negate or at least substantially reduce the need for someone to know how to code in order to make something for Apple's long-rumored headset.
The Machine Learning Specialization is a foundational online program created in collaboration between DeepLearning.AI and Stanford Online. This beginner-friendly program will teach you the fundamentals of machine learning and how to use these techniques to build real-world AI applications. This Specialization is taught by Andrew Ng, an AI visionary who has led critical research at Stanford University and groundbreaking work at Google Brain, Baidu, and Landing.AI to advance the AI field. This 3-course Specialization is an updated version of Andrew's pioneering Machine Learning course, rated 4.9 out of 5 and taken by over 4.8 million learners since it launched in 2012. It provides a broad introduction to modern machine learning, including supervised learning (multiple linear regression, logistic regression, neural networks, and decision trees), unsupervised learning (clustering, dimensionality reduction, recommender systems), and some of the best practices used in Silicon Valley for artificial intelligence and machine learning innovation (evaluating and tuning models, taking a data-centric approach to improving performance, and more.)
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we're building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We're on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you'll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.
We are currently seeking a highly innovative, passionate, and talented individual to drive innovation through Global Identity & Fraud, technology and analytics with an emphasis on accelerating new product development. This role is part of a small visionary solutions-oriented group developing and executing projects at the point where emerging data science and technology trends meet consumer and client needs, products, and services. We are looking for a versatile and experienced individual who can work across clients, business units, and regional teams. In this role, you will be a critical member of a fast-paced cross-functional development team focused on execution, so you must thrive in a time-constrained, multitasking environment. This position is part of Experian's Global Identity & Fraud Product team, concentrating on research and development of novel analytical solutions, product prototyping, as well as new digital data asset evaluations, implementation, and modeling in support of our Device Intelligence portfolio.