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) …
A Boston-based company that brings autonomy to existing fixed-wing aircraft has come out of stealth to announce a new partnership. Merlin Labs is teaming up with Dynamic Aviation, the owner of the world's largest private King Air fleet, to bring autonomy to 55 airplanes. Merlin is also announcing $25 million in funding from GV (formerly Google Ventures). This places Merlin into a small but active pack of companies scrambling to bring autonomy to aviation. "We're proud to partner with Dynamic to begin the process of moving autonomy from the lab and to the market," said Matthew George, Merlin co-founder and CEO.
After years of failed attempts to curb surveillance technologies, Baltimore is close to enacting one of the nation's most stringent bans on facial recognition. But Baltimore's proposed ban would be very different from laws in San Francisco or Portland, Oregon: It would last for only one year, police would be exempt, and certain private uses of the tech would become illegal. City councilmember Kristerfer Burnett, who introduced the proposed ban, says it was shaped by the nuances of Baltimore, though critics complain it could unfairly penalize, or even jail, private citizens who use the tech. Last year, Burnett introduced a version of the bill that would have banned city use of facial recognition permanently. When that failed, he instead introduced this version, with a built-in one year "sunset" clause requiring council approval to be extended.
This 3-course Specialization from Google Cloud and New York Institute of Finance (NYIF) is for finance professionals, including but not limited to hedge fund traders, analysts, day traders, those involved in investment management or portfolio management, and anyone interested in gaining greater knowledge of how to construct effective trading strategies using Machine Learning (ML) and Python. Alternatively, this program can be for Machine Learning professionals who seek to apply their craft to quantitative trading strategies. By the end of the Specialization, you'll understand how to use the capabilities of Google Cloud to develop and deploy serverless, scalable, deep learning, and reinforcement learning models to create trading strategies that can update and train themselves. As a challenge, you're invited to apply the concepts of Reinforcement Learning to use cases in Trading. This program is intended for those who have an understanding of the foundations of Machine Learning at an intermediate level.
Would you like to immerse yourself in the concepts, methods and technologies of AI or expand your skills and competences in specific areas? If the answer is yes, then the learning opportunities from the "Study AI" section are just what you need. As with all learning opportunities on the AI Campus, you do not need to be enrolled at a university to participate. However, you may be able to get ECTS credits for selected courses and have them recognised by the respective university.
Russia and China have committed to work together on a moon base and lunar space station, but it will not be ready to house astronauts until at least 2036, the two countries said. Known as the International Lunar Research Station (ILRS), it will consist of a surface moon base and station in lunar orbit, with construction expected to start in 2026. The two nations have asked other international agencies to join them in the project, which will also include rovers and'hopping robots' to aid eventual inhabitants. NASA is working with the European Space Agency (ESA), as well as Canada and Japan on the Lunar Gateway, a modular crewed space station designed to operate in orbit around the moon and help astronauts reach the lunar surface from 2024. While Russia and China are working together on the moon, the two will compete in low Earth orbit, with both planning their own space station to rival the International Space Station (ISS).
Some topics you will find in the exercises: working with DatetimeIndex working with DataFrames reading/writing files working with different data types in DataFrames working with indexes working with missing values computing correlation concatenating DataFrames calculating cumulative statistics working with duplicate values preparing data to machine learning models working with csv and json filles The course is designed for people who have basic knowledge in Python, NumPy and Pandas. It consists of 130 exercises with solutions. This is a great test for people who are learning the Python language and data science and are looking for new challenges. Exercises are also a good test before the interview. Many popular topics were covered in this course. If you're wondering if it's worth taking a step towards Python, don't hesitate any longer and take the challenge today.