Quantum Computing’s Answer to the Global Food Security Problem
Quantum computing should make it possible to look for answers to food security questions we’ve never been able to ask.
Quantum computing should make it possible to look for answers to food security questions we’ve never been able to ask.
From slime mold designing railways to cyborg plants—discover how nature-inspired AI will solve the world’s food security crisis.
Given the connection between AI and nature, it’s worth exploring how AI can help solve one of the greatest practical challenges facing agriculture: food security.
To compete against such savvy players on the world stage, the US must move beyond the stockpile mentality and elevate concern for food security to address our current vulnerabilities.
From ancient Rome to modern warfare—how control of food systems determines military victories. Special ops forces reveal hidden agricultural vulnerabilities.
Why AI ethics can’t be an afterthought in finance. From flash crashes to algorithmic bias – how fintech companies can avoid catastrophic failures.
Instead of allowing a scientific approach to growing food, Europe has withdrawn its technology, dense capital investment and fertile soil from the global effort to achieve a long-term food security solution. As the European Union is the world’s top exporter of food products, this is a major setback that the world can’t afford.
Validation is the critical component in ethical AI. For the Intelligent Enterprise, the emphasis on validation means ethical AI should yield superior results.
Advancing ethical AI is a critical step toward having AI systems capable of assisting all the functions of a business.
The OODA (Observe, Orient, Decide, Act) loop framework, used by Air Force pilots, is readily adaptable for peacetime use to help CEOs become the fast-evolvers they need to be to survive—or better yet, thrive—in an uncertain business environment.