Are you looking to stay up to date on the latest in machine learning (ML) and artificial intelligence (AI)? With so much information out there, it can be hard to know where to look. Luckily, we’ve compiled a list of 10 great ML and AI blogs that you should follow to stay informed on the latest news, tips, and advice. Keep reading to find out which AI and ML blogs you should follow!
1) Google AI Blog
Google has long been a leader in AI research, and their blog is a great source of information and news on the latest developments in the field. Google AI Blog covers a wide range of topics, from deep learning and natural language processing to image processing, robotics, and more. The blog also hosts informative interviews with researchers and developers in the industry. One of the most popular topics covered by the blog is Google’s advancements in artificial intelligence, such as their AlphaGo AI beating a world champion Go player and their TensorFlow open-source machine learning library. In addition to their posts on AI news, the blog provides helpful tutorials and tips for those interested in getting started with AI programming. With over 500 posts, Google AI Blog is an invaluable resource for anyone interested in machine learning or artificial intelligence.
2) Microsoft Research
Microsoft Research is a leader in the field of Machine Learning and Artificial Intelligence. Established in 1991, they are dedicated to advancing the state-of-the-art in computer science and technology. Microsoft Research offers numerous educational materials and opportunities for the public to learn about the latest developments in ML and AI. The Microsoft Research blog is regularly updated with posts about current research projects, industry news, and breakthroughs in the field. It’s an excellent resource for staying up to date on the most cutting-edge technology. Additionally, their website features tutorials, videos, white papers, and other resources to help people learn more about AI and ML. Microsoft Research also hosts several events throughout the year that bring together researchers, academics, and students to share ideas and collaborate on the advancement of ML and AI.
3) Carnegie Mellon University – School of Computer Science
Carnegie Mellon University’s School of Computer Science is a leading research institute in the field of machine learning and artificial intelligence. The school is renowned for its research in robotics, natural language processing, computer vision, machine learning and artificial intelligence. The faculty at the School of Computer Science is made up of leading researchers in their respective fields and offer many courses related to machine learning and artificial intelligence. They also collaborate with other universities, research institutes and companies around the world to further advance the field.
The School of Computer Science has developed several AI-based projects such as the Autonomous Personal Assistants (APA) system, which provides an autonomous and personal assistance to users; Smart Surveillance, which uses image recognition and machine learning algorithms to detect and identify security threats; and the Cognitive Agents Project, which uses deep reinforcement learning algorithms to train autonomous agents to interact with the environment. The school has also developed a software-defined radio platform called “AirScript” that can be used to control drones and other robots.
In addition to its research projects, Carnegie Mellon University’s School of Computer Science has several resources available to help students learn more about machine learning and artificial intelligence. They have several online courses available, as well as tutorials and research papers to help students understand the concepts of machine learning and artificial intelligence. The school also offers a number of fellowships and internships to help students gain experience in the field.
Overall, Carnegie Mellon University’s School of Computer Science is a great resource for those looking to learn more about machine learning and artificial intelligence. Their research projects provide insight into the latest developments in the field, and their courses and resources are perfect for those just starting out in the field.
4) DeepMind
DeepMind is a London-based AI company that develops systems based on general intelligence and machine learning. The company was founded by Demis Hassabis, Mustafa Suleyman and Shane Legg in 2010. It was acquired by Google in 2014 for over $500 million.
DeepMind is at the forefront of AI research and development. They are developing technologies that could have major implications for healthcare, robotics, finance, and energy sectors. They focus on developing agents that are able to learn from their environment and from data in order to solve complex tasks.
One of DeepMind’s most notable accomplishments is AlphaGo, an AI program that defeated Lee Sedol, one of the world’s top Go players, in 2016. They have also developed AI programs that can recognize objects, navigate 3D mazes, and identify human faces and voices.
DeepMind has a strong commitment to ethical AI research. They have created an ethics and society team to ensure their technologies are developed responsibly and that they create positive outcomes for society.
5) NVIDIA Corporation
NVIDIA Corporation is an American technology company that specializes in the design and manufacture of computer hardware, software, and AI. NVIDIA is best known for their graphics processing units (GPUs) which are used to power the most advanced computing devices such as gaming PCs, supercomputers, and data centers. NVIDIA has a deep understanding of the field of AI, and they have applied their technology to produce cutting-edge AI solutions. NVIDIA’s blog is a great resource for those who want to stay up-to-date with the latest news and developments in AI and ML. The blog covers topics such as AI research, GPU computing, and autonomous vehicles. Additionally, NVIDIA’s blog features interviews with leading experts in the field of AI, showcasing the work of some of the industry’s brightest minds.
6) Facebook AI Research
Facebook AI Research (FAIR) is a research organization dedicated to advancing artificial intelligence and its applications. Founded in 2013, FAIR’s mission is to develop new technologies and apply them to create a better world. At FAIR, researchers have access to vast amounts of data from over 2 billion Facebook users, as well as powerful computing resources, allowing them to explore cutting-edge research in a unique environment. FAIR is also focused on making sure AI technologies are developed responsibly and with a human-centric approach. Through open research and collaboration with academia, the organization has achieved great success in the fields of natural language processing, computer vision, and robotics. The team works closely with other departments at Facebook to apply their findings to products and services that will benefit the world.
In addition to researching the fundamental aspects of artificial intelligence, FAIR also actively explores the societal implications of AI technologies and how they can be used for good. By hosting events, workshops, conferences, and hackathons, FAIR continues to bring together AI experts from around the globe to share knowledge and build meaningful relationships. With projects such as AI for Social Good and the Open Source AI Challenge, the organization has made great strides in pushing for responsible and ethical AI.
For more information on Facebook AI Research and its work, check out their website or follow them on Twitter.
7) OpenAI
OpenAI is a research laboratory dedicated to creating Artificial General Intelligence (AGI) — machines that think and act like humans. The company focuses on developing AI that is both safe and effective in the real world. OpenAI has created various applications and platforms to help advance the development of AGI, such as GPT-3, an AI-powered text generator, as well as Robotics Environment, an open-source robotics platform.
OpenAI was founded by tech industry leaders including Elon Musk, Sam Altman, and Greg Brockman. It is committed to making sure that its technology is used for the benefit of humanity. OpenAI also publishes a number of blog posts about its research and activities, which are available for anyone to read and learn from. They are a great source for learning about the state of the art in AI and machine learning.
8) Berkley AI Research
Berkley AI Research (BAIR) is an organization dedicated to advancing the field of artificial intelligence (AI) through conducting world-class research, developing new technologies, and educating the next generation of AI researchers. Founded in 2016, BAIR has quickly become one of the most respected AI research labs in the world, with faculty members that include some of the top minds in the field.
The core mission of BAIR is to “develop new techniques and theories that allow machines to learn from the data they process in real time and interact with humans more effectively.” The focus of BAIR’s research lies in areas such as deep learning, machine learning, computer vision, natural language processing, reinforcement learning, robotics, and artificial general intelligence. Through its projects, BAIR aims to contribute to fundamental advances in AI that will have a lasting impact on society.
Some of the notable projects being conducted at BAIR include: Deep Learning for Robots (DLR), which focuses on building robot systems that can learn from experience; End-to-End Deep Learning (E2EDL), which explores the use of end-to-end deep learning for vision-based tasks; and Graphical Network Representations (GNR), which looks at how graphical networks can be used to represent high-dimensional data.
In addition to its research efforts, BAIR is also dedicated to educating the next generation of AI researchers through teaching classes and organizing events such as the Berkeley Artificial Intelligence Conference.
If you’re interested in keeping up with the latest advances in AI, or looking to get involved in the field, BAIR is definitely worth a look.
9) MIT – Computer Science and Artificial Intelligence Laboratory
The MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) is an interdisciplinary research center at the Massachusetts Institute of Technology (MIT). Established in 2003, CSAIL is one of the world’s leading academic research institutions in the field of computer science and artificial intelligence (AI). The lab is home to hundreds of researchers, both faculty members and graduate students, who collaborate to develop breakthrough technologies that have the potential to shape our lives.
At CSAIL, research focuses on topics such as natural language processing, robotics, machine learning, computer vision, human-computer interaction, distributed systems, databases, privacy and security, computational linguistics, intelligent transportation systems, computational biology and many more.
CSAIL also hosts various educational programs and workshops for graduate students and undergrads who are interested in pursuing a career in AI. Through these programs, students can gain hands-on experience and learn about current research trends and projects.
In addition to its research efforts, CSAIL has an active community outreach program which includes lectures, seminars and other events that are open to the public. Through this program, the lab provides valuable opportunities for members of the public to learn more about AI and its potential applications in different fields.
Overall, MIT’s Computer Science and Artificial Intelligence Laboratory is a great resource for anyone interested in machine learning and AI. Whether you’re looking to gain more knowledge or get involved in current research projects, CSAIL is an excellent place to start.
10) University of Toronto – Department of Computer Science
The University of Toronto’s Department of Computer Science is an innovative leader in the field of artificial intelligence (AI) and machine learning (ML). Located in the heart of Canada’s largest city, the department is home to world-renowned faculty members and a highly diverse student body. The department offers a wide range of research opportunities and graduate-level courses in AI and ML, including topics such as deep learning, reinforcement learning, natural language processing, computer vision, robotics, and more. It also features specialized research labs, including the Vector Institute for Artificial Intelligence, which focuses on AI research and innovation. In addition to its academic offerings, the department also has strong links with industry partners to bring AI and ML applications to life. With its groundbreaking research, top-notch facilities, and vibrant community of students and faculty, the University of Toronto’s Department of Computer Science is an excellent place to further your understanding of AI and ML.
