What Science Still Cannot Explain
The most telling sentences in the science of 2026 begin with a concession.
Artificial intelligence can analyse enormous quantities of information, predict molecular structures and help researchers design experiments. But no established evidence shows that any present system possesses subjective awareness.
Quantum processors have improved and error correction has progressed, while the machines remain largely experimental. Planetary atmospheres are being examined for chemical signs of biology, and a habitable environment lies a long way from confirmed life.
The headlines announce a new era of discovery, but the qualifications describe the year better, with power expanding around a core of questions nobody has answered.
Medicine shows the difference between capability and understanding in its most human form.
AI contributes to the interpretation of diagnostic images, to drug discovery and to the identification of potential treatments, and in physics and astronomy it works through data that would otherwise demand enormous human effort.
At A Kashmir Science Congress, Young Minds Confront A Changing Future
Kashmir’s Science Congress Puts Research to the Test
Personalised medicine is retiring the assumption that patients with the same disease should receive identical treatment, since genetic information, molecular characteristics and individual biological responses now influence therapeutic........
