Ali Azhar

Scientists are using GenAI and massive stores of genomic data to design new biological systems from the ground up. In a new study, researchers generated complete viral genomes with AI […]

What if scientists could test a new drug or make changes to a cell without even touching one in the lab? Can AI be leveraged to achieve that? GenBio AI […]

The AI boom has mostly been a race for more chips, better models and bigger data centers. All those things are important and the attention they get is understandable. However, there is another piece of the AI puzzle that is becoming harder to ignore: the data itself.

Ask most enterprises where their AI budget goes and they point at training runs, or at the frontier-model contract they just signed. In production, both answers miss the mark. For […]

Micro1 says its gross annual run rate has jumped from $100M to $500M in just eight months. The AI data startup has grown by connecting model developers with experts who create and evaluate the increasingly specialized data needed to improve their systems. That growth comes as spending on AI infrastructure continues to soar, but it also highlights another increasingly expensive part of building advanced models: the data itself.

The enterprise AI race is starting to produce some separation. While AI adoption continues to spread across organizations, McKinsey's latest research suggests that large enterprises and a small group of high-performing companies are moving considerably faster than everyone else.

What if scientists could test a new drug or make changes to a cell without even touching one in the lab? Can AI be leveraged to achieve that? GenBio AI […]

The tech industry is fixated on one main metric, the raw number of GPUs accumulated by hyperscaler enterprises and governments. A common opinion is that the winner of the next […]

The AI boom has largely been powered by standardized hardware, including powerful GPUs, all-purpose CPUs, and as much HBM and DRAM as one can comfortably grab. But recent events–including AMD's acquisition of Taalas, Etched's $700 million fundraising round, and frontier AI labs developing their own chips–suggest that custom-built hardware could play a bigger role in AI's future than initially thought.

AWS already has plenty of ways to analyze data. It can tap into Redshift, Athena, EMR, Glue and SageMaker, and other tools in its stack. And much of the data […]