The k-means clustering is a widely used method in data clustering and unsupervised machine learning, aiming to divide a given dataset into k distinct, non-overlapping clusters. This division seeks to minimize the within-cluster variance. The k-means clustering problem becomes NP-hard when extended beyond a single dimension [3]. Despite this complexity, there are algorithms designed to find sufficiently good solutions within a reasonable amount of time. Among these, Lloyd's algorithm, also referred to as the standard algorithm or batch k-means, is the most renowned [42]. The k-means algorithm is one of the most popular algorithms in data mining [58, 32], mainly due to its simplicity, scalability, and guaranteed termination. However, its performance is highly sensible to the initial placement of the centers [5]. In fact, there is no general approximation expectation for Lloyd's algorithm that applies to all scenarios, i.e., an arbitrary initialization may lead to an arbitrarily bad clustering. Therefore, it is crucial to employ effective initialization methods [24].

University of San Diego professors are developing programs to empower neurodivergent students --- those with autism spectrum disorder, ADHD, dyslexia, among other learning differences.

Many engineering applications rely on the evaluation of expensive, non-linear high-dimensional functions. In this paper, we propose the RONAALP algorithm (Reduced Order Nonlinear Approximation with Active Learning Procedure) to incrementally learn a fast and accurate reduced-order surrogate model of a target function on-the-fly as the application progresses. First, the combination of nonlinear auto-encoder, community clustering and radial basis function networks allows to learn an efficient and compact surrogate model with limited training data. Secondly, the active learning procedure overcome any extrapolation issue when evaluating the surrogate model outside of its initial training range during the online stage. This results in generalizable, fast and accurate reduced-order models of high-dimensional functions. The method is demonstrated on three direct numerical simulations of hypersonic flows in chemical nonequilibrium. Accurate simulations of these flows rely on detailed thermochemical gas models that dramatically increase the cost of such calculations. Using RONAALP to learn a reduced-order thermodynamic model surrogate on-the-fly, the cost of such simulation was reduced by up to 75% while maintaining an error of less than 10% on relevant quantities of interest.

Oregon State University announced a new $200 million research and education center on Friday, focused on supporting the semiconductor and general technology industries in the region. The center will be launched by $100 million in donations. The university announced the new center at a fundraising campaign launch event Friday night. The center will be named the Jen-Hsun and Lori Huang Collaborative Innovation Complex. Jen-Hsun Huang is the founder and CEO of the software company NVIDIA.

For IT leaders, the 2020s will be defined by “The Edge.” The monolithic, centralized approaches of yesteryear will be replaced by a new architectural focal point, or “center” at the Edge, and the understanding that an Edge-first approach for distributed architectures — which starts at the Edge and then paints out the core and cloud — will become the new norm. The shift to this new digital future is made possible by multiple rapidly emerging technologies. In this series, we explore the impact of these technologies, including IoT, artificial intelligence and 5G networks.

MBZUAI has announced plans for a strategic collaboration with IBM (NYSE: IBM). Senior leaders from both organizations signed a Memorandum of Understanding aimed at advancing fundamental AI research, as well as accelerating the types of scientific breakthroughs that could unlock the potential of AI to help solve some of humanity's greatest challenges. Professor Eric Xing, President of MBZUAI, delivered short remarks, as did Jonathan Adashek, IBM's Senior Vice President and Chief Communications Officer, and Saad Toma, General Manager, IBM Middle East, and Africa. The agreement was then signed by Sultan Al Hajji, Vice President for Public Affairs and Alumni Relations at MBZUAI and Wael Abdoush, General Manager IBM Gulf and Levant. "The creation of a center of excellence between MBZUAI and IBM is a natural next step in the evolution of the UAE's groundbreaking AI university. The partnership will strengthen MBZUA's capacity to make practical contributions to the country's sustainable economic development. Working with IBM, MBZUAI will aim to deliver tangible results in wide-ranging sectors, including healthcare, biotech, digital and financial services. Importantly, this collaboration will help also develop the highly skilled talent we need to lead the Fourth Industrial Revolution," HE Dr. Sultan bin Ahmed Al Jaber, UAE Minister of State and Chairman of the Board of Trustees of MBZUAI said.

Now, AI at IU has a home. IU President Michael A. McRobbie dedicated the $35 million Luddy Center for Artificial Intelligence, a 58,000-square-foot facility that will serve as the hub for multidisciplinary research in advanced AI and machine-learning applications, during a ceremony June 23 at Luddy Hall. "As we dedicate the Luddy Center for Artificial Intelligence, it is fair to say that we are also celebrating what will be a game-changing development for Indiana University," McRobbie said. "Indiana University has been a center of research in a number of areas of AI for many years. Artificial intelligence has long been an area of strength of the Department of Computer Science and, more broadly, IU faculty in the cognitive sciences, psychological sciences and neurosciences have also long been engaged in areas of research relevant to AI. The explosion worldwide of the uses and applications of AI, building on decades of steady research progress, made this the perfect time for IU to establish a major holistic initiative in artificial intelligence."

Google's new Quantum AI Campus in Santa Barbara, California, will employ hundreds of researchers, engineers and other staff. Google has begun building a new and larger quantum computing research center that will employ hundreds of people to design and build a broadly useful quantum computer by 2029. It's the latest sign that the competition to turn these radical new machines into practical tools is growing more intense as established players like IBM and Honeywell vie with quantum computing startups. The new Google Quantum AI campus is in Santa Barbara, California, where Google's first quantum computing lab already employs dozens of researchers and engineers, Google said at its annual I/O developer conference on Tuesday. A few initial researchers already are working there. One top job at Google's new quantum computing center is making the fundamental data processing elements, called qubits, more reliable, said Jeff Dean, senior vice president of Google Research and Health, who helped build some of Google's most important technologies like search, advertising and AI.

For IT leaders, the 2020s will be defined by “The Edge.” The monolithic, centralized approaches of yesteryear will be replaced by a new architectural focal point, or “center” at the Edge, and the understanding that an Edge-first approach for distributed architectures — which starts at the Edge and then paints out the core and cloud — will become the new norm. The shift to this new digital future is made possible by multiple rapidly emerging technologies. In this series, we explore the impact of these technologies, including IoT, artificial intelligence and 5G networks.

The Department of Veterans Affairs has launched a new center located in Silicon Valley to foster collaboration with technology companies to develop innovative healthcare solutions. The National Center for Collaborative Healthcare Innovation (NCCHI), a pilot established within the VA Palo Alto Health Care System, will focus on artificial intelligence, clinical decision support and workflow efficiencies as initial priorities. Currently, the VA Palo Alto Health Care System is looking to bring into clinical use an AI system developed by vendor DeepMind that forecasts the presence of acute kidney injury in patients early enough so clinicians can intervene to prevent deterioration. "The NCCHI is an important part of our strategy to be leaders in healthcare innovation and quality," said VA Secretary Robert Wilkie in a written statement. "The center is particularly exciting because it is uniquely designed as a catalyst to combine strengths from non-healthcare fields."