Deep Tech Startup Funding Success
Case study of how a deep tech startup secured $25M in non-dilutive funding through strategic grant writing.
University Tech Transfer Office Optimization
Case study of how a university TTO increased licensing revenue by 60% through strategic restructuring.
How AI Transformed Our Partner’s Research Operations
Case study of how a corporate R&D partner leveraged AI to accelerate research timelines by 40%.
SBIR/STTR Reauthorization: What Changed and What’s Next
The Small Business Innovation and Economic Security Act reauthorized SBIR/STTR with new strategic breakthrough provisions up to $30M. Learn what government innovation officers need to know about implementation and research security changes.
NSF’s New $30M Strategic Breakthrough Awards: How to Qualify
NSF SBIR/STTR relaunched with $250M including $30M Strategic Breakthrough awards. Learn how deep tech startups can qualify for these non-dilutive funding opportunities with 100% matching funds.
Deep Tech Funding Tracker: Q2 2026 Deals and What They Signal
Q2 2026 saw $600M+ in deep tech AI funding rounds from General Intuition, Sail Research, Taktile, Scaled Cognition, and Patronus AI. Analyze key deals, investor signals, and emerging trends for venture capital and corporate venture investors.
Navigating the Proposed Patent Tax: 5 Strategies to Demonstrate Bayh-Dole Value
A proposed 50% patent royalty tax threatens university tech transfer. Learn 5 strategies TTOs can use to demonstrate Bayh-Dole Act value and protect licensing revenue from the AUTM 2026 conference.
What the LSU-Hyundai Steel Deal Teaches About University-Industry Master Agreements
LSU and Hyundai Steel signed a $5.8B research partnership with pre-negotiated IP terms. Learn what corporate innovation leaders can extract from this master agreement model for university-industry collaborations.
How AI is Revolutionizing a New Era of Scientific Discovery
Imagine a research assistant that never gets tired, can read millions of scientific papers in minutes, and spots patterns that would take human scientists years to find. That’s what artificial intelligence is becoming for scientists around the world, and it’s transforming how we make breakthrough discoveries.
Why Businesses Must Consider AI Acquisitions
In the last decade, the artificial intelligence revolution transformed from a technological curiosity into a business imperative, driving unprecedented merger and acquisition activity across industries. As AI capabilities became essential for competitive survival, companies have turned to acquisitions as the fastest path to integrate advanced AI technologies, talent, and expertise into their operations.
Federal Appeals Court Rejects AI Copyright Claims in Landmark Thaler v. Perlmutter Ruling
DC Circuit Court definitively ruled March 18, 2025 that AI systems cannot be copyright authors, affirming human authorship as bedrock requirement while leaving open questions about AI-assisted works requiring human creativity input.
How California AI Regulations Compare to International AI Policy
California’s AI regulations lead US state efforts with employment bias testing, transparency requirements, and court guidelines, while EU AI Act sets global standards and New York focuses on hiring audits. Colorado and Illinois follow with targeted employment protections.
California Creates New AI Rules That Affect Jobs and AI User Privacy
California has enacted multiple AI regulations taking effect 2025-2026, including employment bias testing requirements effective October 1, 2025, court system AI policies by September 1, 2025, and mandatory transparency for generative AI training data starting January 1, 2026.
AI Photo Selection Privacy Risks When You Give Apps Access to Your Camera Roll
AI photo selection apps like Tinder’s Photo Selector analyze your entire camera roll using facial recognition and metadata extraction, creating privacy risks including biometric data storage, targeted advertising, and potential security breaches that users often don’t fully understand.
How do AI dating apps compare to regular dating apps?
AI dating apps use machine learning algorithms to provide more personalized matches and show 14% higher user engagement than traditional apps, but face challenges with authenticity concerns and user skepticism, especially among women and Gen Z users.