SOCR FAMU Talk 2026 - Revision history

Dinov: /* Talk */

2026-03-16T23:24:48Z

‎Talk

Dinov at 18:50, 8 January 2026

2026-01-08T18:50:24Z

Dinov at 14:59, 7 January 2026

2026-01-07T14:59:21Z

Dinov: Created page with "== SOCR News & Events: Dinov's 2026 Talk at FAMU Data to Discovery: Tools, Trends, and Applications Seminar Series == Image:BigData_AMS_JMM_2014.gif|250px|t..."

2026-01-07T14:57:51Z

Created page with "== SOCR News & Events: Dinov's 2026 Talk at FAMU Data to Discovery: Tools, Trends, and Applications Seminar Series == Image:BigData_AMS_JMM_2014.gif|250px|t..."

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== [[SOCR_News | SOCR News & Events]]: Dinov's 2026 Talk at FAMU Data to Discovery: Tools, Trends, and Applications Seminar Series ==

[[Image:BigData_AMS_JMM_2014.gif|250px|thumbnail|right| [https://jointmathematicsmeetings.org/meetings/national/jmm2026/jmm2026-agenda 2026 JMM/AMS Math Foundations of ML/AI] ]]

==Talk==

* '''FAMU Data to Discovery: Tools, Trends, and Applications Seminar Series'''

* ''Date'': Monday, March 23, 2026, 4:00 PM ET

* ''Organizer'': [https://nellymateeva.wixsite.com/nmateeva Nelly Mateeva-Tarkalanova (FAMU)]

* ''Presenter'': Ivo D. Dinov (UMich)

* '''Title''': ''The Realities of Augmented Intelligence''

* ''Abstract'': This decade, the evolution of computational intelligence (algebraic tought) has reached a critical juncture, shifting the paradigm from Artificial Intelligence (AI) as an autonomous agent to Augmented Intelligence (AI) as a collaborative partner. This talk navigates the technical and philosophical trajectory of this transition, beginning with the historical foundations of Artificial Neural Networks (ANN).
In the present landscape, AI systems exhibit strong generative capabilities, they often operate as "black boxes" limited by the boundaries of classical spacetime data. We address the limitations of today’s deep learning, specifically issues of interpretability and temporal reasoning, and explore a future defined by Augmented Intelligence where Science and Arts are tightly coupled. This next phase suggests human-centric collaboration, where technology enhances rather than replaces human heuristic judgment.
A central technical highlight of this session is the application of Spacekime Analytics. By extending the traditional 4D Minkowski spacetime into a 5D "spacekime" manifold using complex-time (kime), we demonstrate how augmented systems can better model high-dimensional, longitudinal data. Spacekime Analytics offers a robust framework for improving inference in fields ranging from neuroimaging to global economic forecasting, providing a mathematical bridge between raw data and human-interpretable insights.
We will examine the multidisciplinary implications of AI. From an academic standpoint, we discuss the "human premium" in research; on a societal level, we address the ethics of "agentic" workflows; and globally, we analyze the tension between technological acceleration and human values. The reality of augmented intelligence lies not in the creation of a "digital god," but in the sophisticated, mathematically grounded extension of the human mind.

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 * ''Organizer'': [https://nellymateeva.wixsite.com/nmateeva Nelly Mateeva-Tarkalanova (FAMU)]
 * ''Presenter'': Ivo D. Dinov (UMich)
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 : A central technical highlight of this session is the application of Spacekime Analytics. By extending the traditional 4D Minkowski spacetime into a 5D "spacekime" manifold using complex-time (kime), we demonstrate how augmented systems can better model high-dimensional, longitudinal data. Spacekime Analytics offers a robust framework for improving inference in fields ranging from neuroimaging to global economic forecasting, providing a mathematical bridge between raw data and human-interpretable insights. We will examine the multidisciplinary implications of AI. From an academic standpoint, we discuss the "human premium" in research; on a societal level, we address the ethics of "agentic" workflows; and globally, we analyze the tension between technological acceleration and human values. The reality of augmented intelligence lies not in the creation of a "digital god," but in the sophisticated, mathematically grounded extension of the human mind.
+* ''Slides'': [https://wiki.socr.umich.edu/images/f/f7/Dinov_AI_Reality_Slidedeck_2026.pdf Slidedeck]
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@@ Line 1: / Line 1: @@
 == [[SOCR_News | SOCR News & Events]]: Dinov's 2026 Talk at [https://aimlfacultycluster.lovable.app/ FAMU Data to Discovery: Tools, Trends, and Applications Seminar Series] ==
-[[Image:BigData_AMS_JMM_2014.gif|250px|thumbnail|right| [https://jointmathematicsmeetings.org/meetings/national/jmm2026/jmm2026-agenda 2026 JMM/AMS Math Foundations of ML/AI] ]]
+[[Image:BigData_AMS_JMM_2014.gif|250px|thumbnail|right| [https://aimlfacultycluster.lovable.app/ FAMU Data to Discovery: Tools, Trends, and Applications Seminar Series] ]]
@@ Line 20: / Line 20: @@
 * ''Abstract'':
-: This decade, the evolution of computational intelligence (algebraic tought) has reached a critical juncture, shifting the paradigm from Artificial Intelligence (AI) as an autonomous agent to Augmented Intelligence (AI) as a collaborative partner. This talk navigates the technical and philosophical trajectory of this transition, beginning with the historical foundations of Artificial Neural Networks (ANN).
+: This decade, the evolution of computational intelligence (algebraic tought) has reached a critical juncture, shifting the paradigm from Artificial Intelligence (AI) as an autonomous agent to Augmented Intelligence (AI) as a collaborative partner. This talk navigates the technical and philosophical trajectory of this transition, beginning with the historical foundations of Artificial Neural Networks (ANN). In the present landscape, AI systems exhibit strong generative capabilities, they often operate as "black boxes" limited by the boundaries of classical spacetime data. We address the limitations of today’s deep learning, specifically issues of interpretability and temporal reasoning, and explore a future defined by Augmented Intelligence where Science and Arts are tightly coupled. This next phase suggests human-centric collaboration, where technology enhances rather than replaces human heuristic judgment.
-: In the present landscape, AI systems exhibit strong generative capabilities, they often operate as "black boxes" limited by the boundaries of classical spacetime data. We address the limitations of today’s deep learning, specifically issues of interpretability and temporal reasoning, and explore a future defined by Augmented Intelligence where Science and Arts are tightly coupled. This next phase suggests human-centric collaboration, where technology enhances rather than replaces human heuristic judgment.
+: A central technical highlight of this session is the application of Spacekime Analytics. By extending the traditional 4D Minkowski spacetime into a 5D "spacekime" manifold using complex-time (kime), we demonstrate how augmented systems can better model high-dimensional, longitudinal data. Spacekime Analytics offers a robust framework for improving inference in fields ranging from neuroimaging to global economic forecasting, providing a mathematical bridge between raw data and human-interpretable insights. We will examine the multidisciplinary implications of AI. From an academic standpoint, we discuss the "human premium" in research; on a societal level, we address the ethics of "agentic" workflows; and globally, we analyze the tension between technological acceleration and human values. The reality of augmented intelligence lies not in the creation of a "digital god," but in the sophisticated, mathematically grounded extension of the human mind.