"The Berkeley Artificial Intelligence Research (BAIR) Lab brings together UC Berkeley researchers across the areas of computer vision, machine learning, natural language processing, planning, and robotics. BAIR includes over two dozen faculty and more than a hundred graduate students pursuing research on fundamental advances in the above areas as well as cross-cutting themes including multi-modal deep learning, human-compatible AI, and connecting AI with other scientific disciplines and the humanities."
Computer Science is a branch of science that focuses on the theoretical and methodological implementation of computational based information processes and computer technologies in both hardware and software. Theoretical fields include such areas as information theory, database and information retrieval and programming language theory. Applied computer science features areas of study such as artificial intelligence, computer architecture, computer security and software engineering.
'From Copernicus Big Data to Extreme Earth Analytics
Rapidly increasing volumes of diverse data from distributed sources create challenges for extracting valuable knowledge and commercial value from data. This calls for novel methods, approaches and engineering paradigms in analytics and data management. As the success will require not only efficient data processing and management, but also sufficient computing capacity and connectivity, a coordinated action with all related areas is necessary and will contribute to a European leadership in these areas.'
The Artificial Intelligence Group at UCSD engages in a wide range of theoretical and experimental research. Areas of particular strength include machine learning, probabilistic inference, neural computation, and cognitive modeling. Within these areas, students and faculty also pursue real-world applications to problems in computer vision, speech and audio processing, information retrieval, bioinformatics, brain-computer interfaces, and computer systems and networking. The Artificial Intelligence Group is part of a larger campus-wide effort in Computational Statistics and Machine Learning (COSMAL). Interdisciplinary collaborations are strongly supported and encouraged.
"Deep Learning is a new area of Machine Learning research, which has been introduced with the objective of moving Machine Learning closer to one of its original goals: Artificial Intelligence."
The Journal of Machine Learning Research (JMLR) provides an international forum for the electronic and paper publication of high-quality scholarly articles in all areas of machine learning. All published papers are freely available online.
KSL conducts research in the areas of knowledge representation and automated reasoning in the Artificial Intelligence Laboratory of the Department of Computer Science at Stanford University. Current work focuses on enabling technology for the Semantic Web, hybrid reasoning, explaining answers from heterogeneous applications, deductive question-answering, representing and reasoning with multiple contexts, knowledge aggregation, ontology engineering, and knowledge-based technology for intelligence analysts and other knowledge workers.
"JAIR(ISSN 1076 - 9757) covers all areas of artificial intelligence (AI), publishing refereed research articles, survey articles, and technical notes. Established in 1993 as one of the first electronic scientific journals, JAIR is indexed by INSPEC, Science Citation Index, and MathSciNet. JAIR reviews papers within approximatel"
ARCOE aims at bringing together researchers and practitioners from core areas of Artificial Intelligence (Knowledge Representation and Reasoning, Contexts, and Ontologies) to discuss these kinds of problems and relevant results.
Called the journal of record for the AI community, AI Magazine helps AAAI members stay abreast of significant new research and literature across the entire field of artificial intelligence. This quarterly publication features timely, feature-length articles, consistently crafted to be clear enough to permit specialists to review work outside their particular area of expertise.
'we crowd-source the index for the relevant Web
thanks to our 4 million users.
Our first product - Scoop.it free version - so far helped close to 4 million professionals attract hundreds of millions of readers. By publishing content relevant to their area of expertise to their Scoop.it topic pages, these professionals build their personal brand and engage their network. In the process, they also help us identify new content sources producing ..'
"Our AI-focused venture fund invests in and connects startups with Google's resources, innovation, and technical leadership in artificial intelligence. We bring Google smarts and scale to promising, early-stage startups, providing innovators with funding, resources, and dedicated access to world-class people and practices in this area. Our fund focuses on helping founders navigate the challenges in developing AI-based products, from leveraging training datasets to helping companies take advantage of the latest techniques, so that great ideas can come to life."
Ozlo is an artificial intelligence (AI)-powered search company building a next generation AI platform and digital assistant. Our mission is to create an assistant that's available everywhere and knows (almost) everything, supporting you with daily decisions and tasks in every area of your life. Ozlo is the first assistant that can combine data from multiple sources to answer questions. He gets you the best answer, no matter where it comes from. He can help you find things to do, places to go, and much more through a simple, conversational interface. Leveraging artificial intelligence, machine learning, and natural language processing, Ozlo is learning to understand a wide range of human goals, activities and the words and ideas that connect those things to help people find what they need the first time, every time
"Makers of Devin, the first AI software engineer. Learn more here.
We are an applied AI lab focused on reasoning, and code is just the beginning.
To hire Devin for engineering work, please join the waitlist.
We're a small team based in New York and the San Francisco Bay Area. Come work with us."
"AGI (Artificial General Intelligence) can be considered the ultimate goal of AI research. It encompasses intelligence that is not limited to predefined knowledge in limited areas but includes capabilities to learn, reason, plan, solve problems, think abstractly, comprehend ideas and use natural language."