World Solve

Computer memory still requires a tradeoff between speed, which loses data when powered off, and permanent storage, which is comparatively slower. A technology that fully combines both properties remains a long-sought but unresolved goal in computer engineering.

Migrating decades-old databases to modern systems carries real risk of subtle data corruption or loss, and fully automated, zero-risk migration tools remain unavailable for many complex legacy systems. This keeps organizations tied to outdated, harder-to-maintain infrastructure.

Fraudulent internship offers, sometimes requesting upfront fees or personal information, can be convincingly generated to target students eager for career opportunities. Detecting and preventing this scam pattern remains an unresolved challenge for students and universities alike.

Fraudulent platforms mimicking legitimate academic networking sites could collect sensitive researcher information under false pretenses. Verifying platform legitimacy before widespread academic adoption remains an unresolved trust issue.

Automated research assistance tools can sometimes generate incorrectly formatted citations that students may not catch before submitting academic work. Improving reliability in these widely used tools remains an unresolved quality issue.

Video calls in poorly lit rooms often still look grainy or dark despite software attempts to compensate, particularly on lower-end hardware. Better real-time image enhancement without expensive hardware remains an unresolved challenge.

Even with modern software, video calls still frequently suffer from lag, echo, or audio dropouts that disrupt natural conversation flow. Achieving truly seamless audio parity with in-person interaction remains unresolved.

Thousands of people die every year waiting for organs that never become available. Lab-grown organs or better donation systems could close this life-threatening gap.

Data gets copied, backed up, and shared across so many servers that a single delete request rarely removes every trace. Real digital privacy requires a technical guarantee that deletion actually means deletion.

For decades, computer chips got faster mainly by shrinking transistors, but they're now near the smallest physically possible size. Finding a new way to keep computing power growing is an open engineering problem.

Modern software is built from thousands of smaller components, any of which could be secretly tampered with. Without full traceability, a single compromised piece can quietly infect software used by millions.

Hard drives fail, file formats become unreadable, and even cloud storage depends on companies staying in business. Without a truly long-lasting storage method, much of today's digital history may simply vanish.

Hospitals, power plants, and water systems increasingly run on connected computer systems that can be targeted remotely. A serious attack on any of these could cause harm far beyond the digital world.

Nearly every major hack traces back to a bug that existed long before anyone found it. Catching these flaws before release, rather than after damage is done, remains an unsolved challenge.

Once powerful enough quantum computers exist, they may crack the encryption that currently protects banking, health records, and private communication. Most of the internet still isn't ready for that shift.

Students in low-connectivity regions of Global cannot benefit from most digital learning platforms, which assume continuous internet access unavailable in their communities.

Current approaches to designs for digital identity and credential systems that protect privacy and prevent exclusion either underperform under variable field conditions or generate externalities that undermine long-term sustainability and equity. Closing the gap requires coordinated advances in science, systems design and enabling institutions.

The absence of robust, context-adapted solutions for open-source platforms for collaborative climate model development and evaluation creates cascading risks across interconnected human and natural systems. Key missing elements include durable performance, low lifetime cost, and governance arrangements capable of sustaining impact beyond pilot stages.

Achieving protocols for equitable benefit-sharing from genetic resources and digital sequence data at meaningful scale demands simultaneous progress in fundamental research, engineering integration and socio-technical systems that work for low- and middle-income settings. Existing efforts remain fragmented relative to the magnitude of the challenge.

Despite recognition of its importance, reliable methods for protocols for responsible dual-use research in artificial intelligence and biotechnology are still lacking. Progress is hindered by incomplete mechanistic knowledge, high capital and operational barriers, and the absence of deployment models suited to the contexts of greatest need.