Bertram The Pomeranian (BERT) is back in focus after public data showed its all-time high at $0.19, with the current price down 91.71% from that peak. Circulating supply stands at 966.7 million tokens against a max supply of 979.9 million.

KuCoin data shows BERT reached an all-time high of $0.19 and is currently down 91.71% from that peak. As of May 25, 2026, its circulating supply stands at 966.7 million tokens against a max supply of 979.9 million.

KuCoin data shows BERT hit an all-time high of $0.19 and is now down 91.71% from that level, while circulating supply has reached 966.7 million out of a 979.9 million max supply. The token’s profile points to sentiment-led trading and high volatility.

Bertram The Pomeranian (BERT) remains a closely watched meme token, but public data shows it is down 91.71% from its $0.19 all-time high, with nearly all of its supply already in circulation.

DeepBrain Chain (DBC) aims to create an infinitely scalable, distributed HPC network via blockchain, addressing AI's insatiable demand for compute. This article explores its vision, tokenomics, and market performance amidst the AI race.

DeepBrain Chain positions itself as a blockchain-based distributed high-performance computing network for the AI and metaverse era. This article reviews its vision, DBC's all-time high of 0.66, circulating supply, and the market implications of the AI compute narrative.

DeepBrain Chain aims to build a blockchain-based distributed high-performance computing network for the AI and metaverse era. This article reviews its vision, DBC token supply data, and potential market implications.

Researchers at the Korea Advanced Institute of Science and Technology (KAIST) have developed BehavERT, an AI model based on the BERT architecture that interprets animal movement patterns by converting skeletal coordinates of body parts (nose, ears, spine, limbs, tail) into tokens. Without prior biological training, the model autonomously detected social behavior deficits in Shank3B knockout autism model mice by analyzing mouth-to-mouth contact. Outperforming existing models across five international benchmarks, BehavERT not only classifies behaviors but also understands their meaning, with potential applications in drug development, psychiatric research, and behavioral genetics.