AI Breakthroughs

The French Navy and underwater-archaeology unit DRASSM used the ROV C 4000 to survey Camarat 4, a 16th-century merchant wreck found at 2.5 km in the Mediterranean. The tethered robot captured roughly 86,000 images at up to eight per second, and lifted ceramic jugs without disturbing the surrounding debris field — among the deepest objects ever raised from a French wreck. The imagery feeds a 3D model of a vessel type that is poorly documented in surviving 16th-century texts and signals a wider shift toward non-invasive deep-sea archaeology. At 1.5 miles down the ROV operates under nearly 150 atmospheres, where conventional human dive equipment fails entirely.CBS News ↗

Princeton engineers built a soft-rigid hybrid robot that moves without a motor, gearbox or pneumatic line by combining a printable liquid-crystal-elastomer polymer with flexible electronics and origami folding. A demonstration crane-shaped robot flaps its wings on electric current alone, with targeted heating in the polymer doing the work an actuator would normally do. The paper — Bershadsky, Davidson, Paulino and Zhao, "Digital Actuation Control of Soft Robotic Origami With Self-Folding Liquid Crystal Elastomer Hinges" — appeared online in Advanced Functional Materials on 21 March 2026. Removing the motor cuts part count and failure modes, opening applications in medical devices, search-and-rescue and inspection robotics.Princeton Engineering ↗

The Robotics & AI Institute, led by Boston Dynamics founder Marc Raibert, revealed Roadrunner — a 15 kg bipedal robot whose feet double as wheels, switching between side-by-side and in-line skating modes plus stepping on the same hardware. A single learned control policy handles every locomotion mode, and behaviours such as standing up from the ground and balancing on one wheel were deployed zero-shot. Roadrunner is positioned for logistics and warehouse use where wheels save energy on flat ground and legs handle obstacles. The release continues a 2026 trend of multi-modal locomotion — wheels plus legs — replacing pure bipedal designs in commercial robotics research.RAI Institute ↗

Coinbase released Agentic Wallets alongside the x402 payment protocol, giving AI agents the ability to hold, send, and receive cryptocurrency autonomously without human approval for each transaction. For the first time, an AI agent could pay for API calls, purchase compute, or settle invoices as part of a workflow — creating the financial infrastructure layer that autonomous agents need to act independently in economic contexts.

Lightricks released LTX 2.3, a 22-billion-parameter diffusion transformer model that generates synchronised video and audio in a single forward pass. The model supports resolutions up to 4K at 50 frames per second, marking a significant leap in real-time media generation quality.

Following the 2024 University of Sheffield test fire of what was described as the world's first AI-designed rocket engine, LEAP 71 reported hot-firing two 20 kN orbital-class methalox engines — a conventional bell nozzle and a full-scale aerospike — going from specification to first flame in under three weeks. The engines were generated autonomously by Noyron, the company's Large Computational Engineering Model, and 3D-printed in copper. LEAP 71 described the tested engines as roughly a tenth of the thrust class it plans to hot-fire in 2026, with manufacturing validation underway on 200 kN and 2,000 kN designs.Sheffield ↗

Boston Dynamics demonstrated a newly redesigned Atlas humanoid robot powered by neural Large Behavior Models from Toyota Research Institute. The robot performed complex multi-task sequences with self-correction, learning control policies without hand-coded routines. Boston Dynamics has deployed over 500 robots with revenue exceeding $130 million.

DeepMind released AlphaFold 3, expanding beyond protein structure prediction to accurately predict protein-DNA, protein-RNA, and protein-ligand interactions. The model achieved 50% accuracy improvement over AlphaFold 2 and contributed to structural understanding underlying the 2024 Nobel Prize in Chemistry.

Google introduced Gemini 1.5 Pro, a model capable of processing a context window of up to 1 million tokens. This enables the model to work with entire books, lengthy video transcripts, and massive code repositories in a single prompt.

DeepMind released GraphCast, a graph neural network model that predicts weather globally at 0.25-degree resolution in under 1 minute. The model outperformed the European Centre for Medium-Range Weather Forecasts (ECMWF) on 90% of evaluated meteorological variables, producing predictions that took traditional systems 10 minutes to calculate.

The Technology Innovation Institute (TII) released Falcon 180B, a 180-billion parameter open-source language model trained on 3.5 trillion tokens. At release, it was the largest openly available language model, surpassing Llama 2 on multiple benchmarks including MMLU, LAMBADA, and HellaSwag.

The BigScience collaborative initiative released BLOOM, a 176-billion parameter open-source language model trained across 46 natural languages and 13 programming languages. At the time of release, it was the largest openly available language model in existence.

DeepMind's AlphaFold 2 solved the protein folding problem, predicting 3D protein structures to near-experimental accuracy at the CASP14 competition. The breakthrough came from combining attention mechanisms with evolutionary biology insights. The achievement later contributed to the 2024 Nobel Prize in Chemistry awarded to David Baker, Demis Hassabis, and John Jumper.

Google researchers published "Attention Is All You Need," introducing the Transformer architecture built entirely on attention mechanisms. This paper became one of the most cited in machine learning, fundamentally changing how neural networks are designed.

Ian Goodfellow and collaborators introduced Generative Adversarial Networks, a framework where two neural networks compete—one generating data and one discriminating real from fake. This sparked a revolution in generative modeling and unsupervised learning.