DNA language models explained for 2026: how genomic foundation models like Evo learn the language of the genome, the architecture, training data, and limits.
How LiDAR actually works, from first principles: time-of-flight vs FMCW, the laser and detector chain, point clouds, solid-state designs, and LiDAR vs radar.
Spatial transcriptomics explained in 2026: how Visium, Xenium, and MERFISH map gene expression in tissue, the data pipeline, trade-offs, and applications.
How brain organoid biocomputing works in 2026: culturing neural organoids, electrode interfaces, training signals, and the honest limits of wetware compute.
Base editing rewrites a single DNA letter without cutting the double helix. How cytosine and adenine base editors work, their off-target limits, and 2026 clinical use.
Neuromorphic chips compute like a brain: spikes, not clocks. How spiking neural networks, memristors, and event-driven silicon work, and why they sip power.
How AI is moving beyond static AlphaFold structures to predict protein conformational states and ensembles in 2026, the methods, the limits, and why it matters.