Latest articles on AI, technology, and software development.
Lab efficiency for tandem solar cells has hit 34%, but the technology that could reshape panel economics is still stuck on durability and manufacturing yield, not power output.
Microsoft, Quantinuum, and IBM each published 2026 results showing logical qubits meaningfully outperforming physical ones. The published roadmaps show why that's genuine progress, not an imminent breakthrough.
Since the LK-99 saga, ambient-pressure superconductor claims have followed the same script: a dramatic levitation video, a rushed preprint, and a debunking within weeks. The failures are getting faster to spot — and that's actually a sign the field is maturing.
Physical qubit counts make headlines, but they say little about whether a machine can run useful algorithms. The metric that matters is the number of error-corrected logical qubits, the error rate they achieve, and how much hardware each one costs. Here is how to read the claims.
University of Houston researchers broke a 30-year ambient-pressure superconductivity record at 151 Kelvin — and AI-driven material search is why discoveries like this are accelerating.
Google, Quantinuum, and Microsoft independently demonstrated logical qubits where error rates fall as qubit count rises — the specific mathematical threshold quantum computing has chased since the 1990s.
Beam Therapeutics and Eli Lilly's Verve program are posting Phase 1/2 results that avoid the double-strand break problem which has slowed first-generation CRISPR therapies.
More than 173 AI-originated drug programs are now in clinical development, up from 67 in 2023, with Insilico Medicine's Phase III fibrosis candidate leading a field analysts expect to see its first approval within two years.
Commonwealth Fusion, Helion, and TAE have raised billions and hit real engineering milestones in 2026, but no private fusion plant is within twelve months of actually delivering electricity.
Multiple labs are now reporting dozens of error-corrected logical qubits instead of raw physical qubit counts — a sign the field has moved from proving error correction works to engineering it at scale.
The SuperC consortium used machine-learning pre-screening to identify two previously unknown superconductors in weeks instead of years. The real breakthrough isn't the materials — it's a search method that could work through billions of candidates.
AI has already proven it can speed up drug discovery. What it hasn't proven is that AI-designed molecules perform better in patients — and 2026's Phase 2 and 3 readouts are the first large-scale test.