400 Million

• ASML is producing advanced EUV and High-NA lithography machines, costing up to $400 million each, which are essential for manufacturing high-end AI chips. • These specialized tools enable the extreme precision required to print the smallest circuits on semiconductors, serving as the backbone for the global AI hardware industry. • The technology is critical because no other company can produce these machines, making ASML a central bottleneck and enabler for companies like NVIDIA and TSMC.

• RISC-V pioneer SiFive raised $400 million in an oversubscribed Series G funding round led by Atreides Management with backing from Nvidia, valuing the company at $3.65 billion. • The funding enables SiFive to expand into AI data centre CPUs through Nvidia's NVLink Fusion ecosystem, positioning the company to compete in high-performance AI infrastructure. • The investment reflects growing demand for specialized processors tailored to AI workloads and data centre operations beyond traditional CPU architectures.

• Anthropic acquired Coefficient Bio, a startup founded eight months ago with fewer than 10 employees, for roughly $400 million in shares, despite it having no product or revenue. • The platform uses AI for pharmaceutical tasks like drug research planning and identifying new drug opportunities, positioning Anthropic's models for scientific discovery in life sciences. • This bet signals a strategic push into AI-driven biotech, potentially accelerating drug development amid growing competition in applied AI verticals.

• Anthropic acquired startup Coefficient Bio for more than $400 million to bolster its AI capabilities amid recent challenges like a source code leak. • The deal follows Anthropic's npm packaging error exposing Claude Code's source code, including memory architecture and model roadmap. • This acquisition strengthens Anthropic's position despite setbacks, potentially aiding future developments in autonomous AI features.

Researchers from Cold Spring Harbor Laboratory (CSHL) and global collaborators identified over 2.3 million conserved non-coding sequences (CNSs) across 314 plant genomes from 284 species, using a new computational tool called Conservatory. These ancient 'DNA switches' originated before flowering plants diverged from non-flowering ancestors more than 400 million years ago, with some confirmed essential for developmental functions through genetic editing. The discovery provides a comprehensive atlas for plant biology, aiding crop breeders in addressing drought and food shortages by fine-tuning traits. CSHL's Zachary Lippman described it as 'a new window into the evolution of life across eons.'

Researchers from Cold Spring Harbor Laboratory (CSHL), Hebrew University, and Sainsbury Laboratory Cambridge University published a study in Science identifying over 2.3 million conserved non-coding sequences (CNSs) across 314 plant genomes from 284 species, some originating more than 400 million years ago before flowering plants diverged from non-flowering ancestors. The team developed a new computational tool called Conservatory to locate these ancient DNA 'switches' essential for plant development, with co-first author Anat Hendelman confirming their function through genetic editing. This comprehensive atlas includes dozens of crop species and wild ancestors, offering plant biologists and breeders tools to address drought and food shortages by fine-tuning traits. CSHL's Zachary Lippman described it as 'a new window into the evolution of life across eons.'