
Initiatives
Broaden the scope of engineering research and teaching with innovation, leadership, and value creation
Prof. Ikhlaq Sidhu, Emeritus Chief Scientist, UC Berkeley SCET/ELPP, Dean at the IE Sci-Tech
Think Tank Labs
Berkeley Engineering Leaders Think Tank Group
From Google, Apple, Meta, Yahoo, Amazon, Applied Materials, VMWare, Samsung, Cisco, Micro, and more
Global Faculty
Think Tank Group
From Berkeley, Stanford, IE, MIT, UCLA, Melbourne, DTU in Denmark, Oxford, Lund in Sweden, ETH in Zurich, more
Supported by affiliations with UC Berkeley, Berkeley Global Co-Lab, Berkeley Institute of European Studies, Berkeley Engineering/SCET, Berkeley MSOL, IE Science & Technology, Rise Europe, Qatar Foundation, and Applied Innovation Institute.
Fractional Tech CXO Program
Led by Prof. Ikhlaq Sidhu, Chief Scientist Emeritus, UC Berkeley SCET/ELPP. Supporting PhD and/or top tech students to learn ‘in situ’ within organizations and firms, under the guidance of top global faculty and industry experts.
Qatar Foundation - AI Strategy
Elysium - Project-Based Learning Platform
MEFIC - AI-Driven Financial Investing and the Gradient Project for EU Sovereignty and Security Investments
Coming soon - Drone Venture Building
Engineering Leadership for the Next Generation
Developing the Next Engineering Leadership Professional Program at Berkeley College of Engineering
to adapt for AI and a new paradigm of geopolitical issues.
Berkeley International Co-Lab
The Berkeley International Co-lab for Technology fosters global innovation while bridging the gap in technology research between Silicon Valley, Europe, and other international partners. The Co-lab advances cross-border research and applied innovation, provides immersive student experiences, and hosts Collider Summits. Programs under development include:
IEX Berkeley Collider Summit
Fractional Tech CXO Program for PhD-level aspiring Tech Leaders to gain immersive experiences in industry research
Global Leadership Catalyst for executives to gain immersive learning for innovation leadership by being placed and mentored for advisory roles in new ventures
IEX Berkeley Lab for High Impact Research
New Global Collaboration Models for Research and Immersive Experiences
Berkeley Digital Asset Xcelerator (BDAX)
The Berkeley Digital Asset Xcelerator (BDAX) is a 6-week, focused accelerator at UC Berkeley, scaling promising startups building on or bridging to the XRP Ledger.
IEX: Ripple Virtual Asset Regulation Lab (VARL) and Tech Regulation Lab (TRL)
Building on its new partnership with UBRI, IE University is hosting the Virtual Asset Regulation Lab, focused on applied research, entrepreneurship, and corporate transformation. We are also collaborating on the Tech Regulation Lab to bridge innovation and regulation. This is a global initiative bringing together leading academic institutions, policymakers, and industry experts to shape the future of technology regulation.
Think Tank Labs Research
In Implications of AI, data, algorithms, and emerging technologies - and leveraged with AI tools
Latest Open Reports and Publications
In Support of Open Science
Afifi, Subramanian, Koul, Sidhu (PI), et al, “Truth and Information Integrity in a Digital and AI-Powered World” Think Tank Lab Report, June 2025 (download)
Given the increasing concerns regarding truth and information integrity, this technical brief considers the issue, particularly in the context of artificial intelligence, as technologies that utilize AI systems have amplified this issue.
Okoro, Ünal, Sidhu (PI), “AI Strategy Development: A Guide to How and Why”, Think Tank Lab Report, June 2025 (download)
As a guide to developing an effective AI strategy, grounded in real-world experience and shaped by lessons from a major institutional project, this report highlights common pitfalls, emerging best practices, and the value of collaborative, cross-university insight.
Recent Student Research Fellows:
Omar Afifi, University of Michigan
Aswin Subramanian Maheswaran, IE University
Abhishek Koul, University of Wisconsin
Victor Okoro, University of Ottawa, UC Berkeley
Sara-Nel Ünal, IE University, University of Edinburgh
Commonplace Book Style Related Technical Briefs and References:
AI & Power:
“AI and Sustainability”, Catalyst Tech Brief, August 2024
“Is the Future of AI Analog”, Catalyst Tech Brief, 2024
“AI and Power Grids (tech brief), Catalyst Tech Brief, 2024
CPU vs GPU, The Economist Impact Series Report, May 2025
AI Strategy; Information Integrity (Work in Progress)
AI Strategy Best Practices (Coming Soon)
Power Hungry Processing: Watts Driving the Cost of AI Deployment? https://arxiv.org/pdf/2311.16863
This shows that 2.9 KWHs with a 3.31 KW standard deviation are required for one Gen AI image generation.Goldman Sachs: How much power will AI use? It will be stoked partly by electrification and industrial re-shoring but also by AI. Data centers will use 8% of US power by 2030, compared with 3% in 2022.May 14, 2024
https://www.goldmansachs.com/intelligence/pages/AI-poised-to-drive-160-increase-in-power-demand.htmlSidhu, AI Power Consumption, LinkedIn article: https://www.linkedin.com/pulse/ai-next-global-sustainability-challenge-solution-ikhlaq-sidhu-9ogef/?trackingId=ufXtFNxLQTCIVlkWf83MYA%3D%3D
(The prior post is here):The Data Center Market size is estimated to reach $418 billion by 2030, growing at a CAGR of 9.6% from 2023 to 2030. According to USITC, as of 2022, there are approximately 8000 physical data centers present across the globe. https://www.industryarc.com/Report/19401/data-center-market.html
Platt, The Unbelievable Zombie Comeback of Analog Computing, Wired, March 30, 2023
Ghose, Reducing AI’s Climate Impact: Everything You Always Wanted to Know but Were Afraid to Ask, https://scet.berkeley.edu/reducing-ais-climate-impact-everything-you-always-wanted-to-know-but-were-afraid-to-ask/
Ariel Cohen, AI Is Pushing The World Toward An Energy Crisis, Forbes, May 2024
AI Health and Medicine:
Please take a look at this article on the IE-HBKU Health Technology Collider Summary.
See how digital biomarkers are part of the future of healthcare. In this case example, medical testing is done at home instead of using medical resources and hospital staff. Onera Health (see post)
Education and Future of Work:
A Blueprint Science & Technology - Why new options for academics are now possible and needed.
Future of Work - Why we can't live without AI, and what we can expect in the Workplace
Economist Summit 2024 - Viewpoints from CEOs and industry leaders on AI adoption, use cases, and business trends
A Practical Guide to Education in an AI World - How to manage with AI as an instructor and academic institution.
A Northstar for the 20-Year Future of Education with AI - What we can expect for students in classes, the professors changing role, and what disruptions are likely for universities.
State of the Union 2024 at the European University Institute - Technology, regulation, and the main issues of the EU in 2024
Certainty or Intelligence: Pick One! - A discussion of logical intelligence vs predictive and pattern matching-based intelligence by Prof. Edward Lee of Berkeley
Sidhu, Education in Crisis. What can we offer the other 99%? The Problem is Big. AI is only part of the Answer. LI, October 14, 2024
Sidhu, Why are we not ready for Project-based Mastery Learning? LI Post, Octover 20, 2024
AI and Clean Tech
AI Data & Crypto Tools:
AI, Truth and Trust
Sidhu, et al, “Truth and Information Integrity in a Digital and AI-Powered World” Think Tank Lab Report, June 2025
Financial and Mobile Systems
What's Next: Future of Virtual Asset Regulation - Summary of the Ripple UBRI XRP Collider for Virtual Asset Regulation
AI and New Energy Sources
Think Tank Lab Areas
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AI and Power Consumption
Power Consumption from AI, and Blockchain. Implications on the future of Data Centers.
AI Architectures - beyond assistants: AI control and interfaces for resources from IOT to calendars to robots
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AI and Digital Biomarkers
What opportunities and limits in using AI
and digital biomarkers for predictive
medicine, clinical trials, and new medicines? What infrastructure will be required?
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AI in Education & more
Exponential technology implications for academics, work, business, and society.
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AI, Climate & Economy
Climate change, economy, and data/AI inference.
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AI and Digital Tool Trends
What are the AI, Data, & Crypto tools and trends?
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Quantum with AI and Exp Tech
How does Quantum computing relate to Data/AI/Blockchain? What parts of Quantum are happening?
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AI, Truth & Trust
How will we have societal trust given deep fakes, social media, and AI? And, how will we achieve cyber security in an AI-driven world?
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AI Financial and Mobility Systems
Exponential Technologies and Financial Systems and Mobility
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AI and New Energy Sources
How do exponential technologies affect the possibility of Controlled Fusion and other new energy solutions