@linearcapital
专注前沿科技早期投资
Shanghai-based Umibio announced today that it has raised tens of millions of RMB in an angel round led by Linear Capital, with participation from Suzhou SND Angel Fund.
"Today, Fourier Intelligence is redefining the wearable rehabilitation robot."
**1. Principal, Senior Principal — Enterprise Services, Biotech/Healthcare, Deep Tech/Hard Tech, and related verticals**
In late June, Harry Wang, founder and CEO of Linear Capital, was invited to speak at the Amazon Web Services (AWS) Innovation Conference, where he joined Dr. Zhang Xia, chief enterprise strategy advisor at AWS, for a conversation on recent AI investment insights. Wang shared Linear Capital's analysis of AI's integration into industries, the firm's investment focus areas, the technical bottlenecks that need to be overcome in the next phase, and related recommendations. Below is a summary of the conversation, with both video and transcript.
Less than a year after raising 80 million RMB in its Series A last June, marketing technology company JINGdigital has closed an additional 50 million RMB in its Series A+ round, bringing the total raised across both rounds to 130 million RMB.
- Followed up on recruitment processes including resume sourcing, interview scheduling, and feedback collection
On June 23, 2022, Aicron, China's first smart crop cultivation decision-making service provider, announced the completion of two consecutive funding rounds — a Series A and a Series A+ — totaling over RMB 100 million. The Series A was led by Source Code Capital, while the Series A+ was jointly led by IDG Capital and Hillhouse. Linear Capital and Bits x Bites participated in both rounds as co-investors.
Following the "X·36Under36 S-Class Young Founders List," on June 22, 36Kr released its 2022 "Most Founder-Friendly Investors/Investment Firms" series.
This Thursday (June 23) from 2:00 PM to 6:00 PM, the Amazon Web Services (AWS) Innovation Conference will be held online.
**Intro: Linear Capital portfolio company Symmetry Tech releases 10-billion-parameter financial pre-trained language model BigBang Transformer [Qianyuan].** The BBT large model is built on a time-series-text cross-modal architecture, jointly training on textual and time-series data across two modalities. It improves downstream task accuracy by nearly 10% compared to T5 models of the same scale, and significantly increases the R2 score for time-series forecasting. The cross-modal architecture enables the language model to recognize temporal patterns —
![Supersymmetry Technology Releases BigBang Transformer [Qianyuan]: A 1 Billion Parameter Financial Large-Scale Pre-trained Language Model That Can Read Numbers
Supersymmetry Technology has released the BigBang Transformer [Qianyuan], a 1 billion parameter financial large-scale pre-trained language model designed to enable pre-trained language models to understand numerical data.](/_next/image?url=https%3A%2F%2Fkkcktdhgzddmdjdjoenc.supabase.co%2Fstorage%2Fv1%2Fobject%2Fpublic%2Fmedia%2Fimages%2F6c129a80-32b8-429f-8990-f331d11e0417%2F4d525ee4df1d.jpg&w=384&q=75)