2025+ Last Generations?

By 2035 it is mathematically (95% lilely) that we human brains (8 billion existing, first of next 4 billion born) will sense whether 21st Century engineerining is to gravitate worldwide transformation of trust, love and hope; or to pied piper us to extinction
Relevant AIntelihgences connect
Energy & Water
Space
Mobile Autonomous Public Services
Health & Einstein Pattern maths of life sciences and nature
Geonomic fusion and Celebrating millions of communal actions instead of ever fewer big bosses
Agency over skills; transforming education beyond linear examination classrooms and expensive paper chases as well all become lifelong mentors and students
No one nation can lead this and sadly as we have seen through 30 years of UN greenwashing millenials with SDGs, the next decade has left integrating data sovereignty with a lot of scary conversations unless ai trains us to care about every next child born on saceship etah as bucky caled our last examination

AI 5 layer cake- dec 2025, DC CSIS, by jensen huang

y deep learning leaps 2022 2018 2015 2012 2009 2003 ...legacy 1956 of NET - neumann einstein turing ; towards the world of machines with billion times moore maths brainpower than sperate human minds; through 3 million fold expoenetial multipliers engineering chips, computaional cappower, stalite data distribution

update bloomberg clusters

 a lot more than clusters is scaling 2025-6 with singapore and bloomberg taking its 8th new economy summit to india at same time gupta-klinks-india appears to be hopkins main medical partnership abroad (though there are eg SAIS triple cities - baltimore- bologna-nanjing).Hopkins has long been us main reserach university: eg apl and nasa space research (latsest space contribution at social projects summit yesterda) , med school and nih, Prof fishman in radiology was one of earliest pioneer partners with nvidia and steve jobs in revolution of coding pixels instead of binary without which ai would net be on the point of agentically augmenting every persons skils); there's lot of biotech and energy work connecting hopkins and the nation's 17 supercomputers half of which now warp at nvidia speed). We understand among bloomberg's 4 billion dolars funds to his alma mater, one invetsment is up to 40 bloomberg professors who both have specialist practices and connect ai deep data to this). We've rearranged cluster data from current web page https://bdp.jhu.edu/bdp-clusters/ 

.AI-X   There is a revolution underway in science, engineering, medicine, and public health, accelerated by a rapidly growing constellation of technologies that are built on machine learning and data science. The AI-X Cluster will build on the intersection of data science, machine learning, and the deep domain expertise at Johns Hopkins to develop scalable AI systems that will drive discovery, decision-making, and prediction in science, engineering, medicine, and public health. Lead faculty  Brian Caffo Prof Biostatistics Research Interests Neuroimaging Statistical methodology Data science Open education  He was the recipient the Presidential Early Career Award for Scientist and Engineers, the highest award given by the US government for early career researchers in STEM fields. He co-created and co-directs the SMART (www.smart-stats.org) group focusing on statistical methodology for biological signals. He also co-created and co-directs the Data Science Specialization, a popular MOOC mini degree on data analysis and computing having over three million enrollments. Dr. Caffo is the director of the graduate programs in Biostatistics, a member of the Johns Hopkins Data Science and AI Institute, and is the recipient of the Golden Apple teaching award and AMTRA mentoring awards. Data Science for AI in Healthcare: An Online Course  2020 Natalia Trayanova Research Interests: Computational cardiology, machine learning in cardiology, arrhythmia therapies Lab Website: Computational Cardiology Laboratory Publications: From Google Scholar / From Pub Med Berrak Sisman is an assistant professor in the Department of Electrical and Computer Engineering, and a member of the AI-X Bloomberg Distinguished Professorship. She is a member of JHU Center for Language and Speech Processing and the JHU Data Science and AI Institute. She is the Director of the Smile Lab at JHU. She is internationally recognized for her contributions to deep learning, speech synthesis, voice conversion and expressive speech modeling. She is also interested in medical applications of speech and language as well as deepfake detection and anti-spoofing. Sisman received her PhD from the National University of Singapore, advised by Haizhou Li, with visiting research appointments at the University of Edinburgh and the Nara Institute of Science and Technology (NAIST, Japan). Berrak Sisman Hub for Imaging and Quantum Technologies The Hub for Imaging and Quantum Technologies cluster will establish Johns Hopkins University as a worldwide leader in the area of quantum science and its revolutionary application to technology and fundamental physics. This cluster will recruit scholars who will lead efforts to push beyond the current limits of imaging and quantum technologies by developing cutting-edge tools for a wide range of research areas. Measurement science is experiencing a revolution driven by breakthroughs in imaging technologies and quantum enabled technologies that are expected to far exceed what is possible with traditional tools. The cluster, supported by state-of-the-art infrastructure, will put Hopkins at the forefront of this transformation. Joan Hoffmann Dr. Joan Hoffmann is the mission area executive for Research and Exploratory Development at the Johns Hopkins Applied Physics Laboratory (APL). In this role, she drives the investment strategy for research programs seeking technology breakthroughs to benefit the missions of the Laboratory’s sponsors. She previously served as exploration program area manager and program manager for Alternative Computing Paradigms in APL’s Research and Exploratory Development Mission Area. As exploration program area manager, she oversaw the strategic direction and execution of emerging research technologies in artificial intelligence, computing, neuroscience, robotics, and autonomy. As Alternative Computing Paradigms program manager, she established a nationally recognized program exploring the promise and capabilities of quantum information systems, trustworthy computing, and next-generation neuromimetic computing approaches.She has extensive experience developing nanostructured materials and devices for chemical, biological, and radiation sensing (for which she received APL’s 2013 Hart Prize for Best Research Project); growing and patterning carbon nanomaterials (nanotubes and graphene); and conducting low-noise measurements. Dr. Hoffmann received a Ph.D. and master’s degree in physics from the University of California, Berkeley,  ========== also at hopkins APL is Christina Fox co-chair of atlantic council commission reporting software defined warfare and panellist dec 2025 at AI + Space summit David Kaplan Thomas Kempa Jin U. Kang Christopher Overstreet

Upd Aug 2025 Kershia Pollack Porter leads an organization that includes over 900 full-time faculty, a full-time staff of more than 1,400, and more than 3,100 students from 88 nations bdp cluster Advancing Racial Equity in Health, Housing, and Education The Advancing Racial Equity in Health, Housing, and Education Cluster will make Johns Hopkins the world leader in solution-focused practices and policies to promote racial justice in health, housing, and education (HHE) for young people. The team will have expertise in achieving racial justice in HHE, facilitating an advance towards development beyond problem identification, and testing of promising practices and translating these into policy solutions at scale.. Odis Johnson Jr. Tamar Mendelson Ebony McGee Nicholas Meyerson x Artificial Intelligence and Society Anton Dahbura  Executive Director of the Johns Hopkins University Information Security Institute and Co-Director of the Johns Hopkins Institute for Assured Autonomy Lingxin Hao Debra Mathews I-Jeng Wang Epigenome Sciences Epigenome sciences aim to explain the fundamental principles of epigenome organization and function that enable eukaryotic organisms to execute DNA instructions encoded in their genomes to maintain homeostasis, grow, replicate, differentiate cell-specific functions, and respond to changing environments. The science of the epigenome is vitally important to human biology and has a broad reach throughout the life and medical sciences. Michael Schatz Michael Schatz Computational Biology and Oncology Department of Computer Science, Whiting School of Engineering Department of Biology, Krieger School of Arts and Sciences Department of Oncology, School of Medicine Michael Schatz is an expert at large-scale computational examination of DNA sequencing data. He is focused on understanding the structure and function of genomes, especially those of medical or agricultural importance. related ref GalaxyProject Schatz works at the intersection of computer science, biology, and biotechnology, and develops new algorithms, computational systems, and machine learning techniques for comparative genomics, human genetics, and personalized medicine. His methods have been used to reconstruct the genomes of many previously unsequenced organisms as well as probe sequence variations in thousands of human genomes to study the genetic basis of cancer, autism spectrum disorders, and other major diseases. In recent projects, Schatz has used long read single molecule sequencing technology to map previously hidden structural variants in cancer genomes and to sequence 100 tomato genomes in 100 days, pushing the boundaries of genome research and technology. Cynthia Wolberger Carl Wu

. Brain Resilience Across the Lifespan New discoveries in brain sciences have created unprecedented opportunities to develop strategies to enhance and preserve brain function. This cluster will bridge critical technical and knowledge gaps at Johns Hopkins University, nucleating the formation of strategic groups to study brain resilience across the entire human lifespan.  Richard Huganir Patricia Janak Genevieve Stein-O’Brien Cluster scholar backgrounds may include: Neuroengineering: Develop tools to better measure and manipulate brain function Mechanisms of Brain Plasticity: Discover the basic mechanisms of brain plasticity that underlie cognition and cognitive resilience Development of Cognition: Study the development of cognition and how stress and the environment impact cognition Critical Periods of Plasticity: Discover the mechanisms that define critical periods of learning across the lifespan Genetics of Cognition: Discover the genes that effect cognitive development and how mutations in these genes impact cognition Aging and Cognition: Study the impact of aging on cognitive decline and cognitive resilience

.x Knowledge to Action and the Business of Health This cluster will address the pressing social need of achieving better health outcomes in light of ever-rising health spending. Promising discoveries for meeting this challenge often fail to become widely adopted in the face of numerous complexities. By leveraging the Hopkins Business of Health Initiative and the learning health system hubs at Johns Hopkins, this transdisciplinary cluster will generate solutions aimed at aligning incentives and integrating the science of systems, economics, and management. Kathryn McDonald Daniel Polsky Kathleen Sutcliffe Valerie Suslow Catherine Ettman Andrew Anderson Nicholas Tilipman André Nogueira