Doug Eadline

1 month ago | hpcwire.com | Jaime Hampton |Doug Eadline

OpenAI announced it has expanded access to its Deep Research, its new AI agent designed to conduct complex research. Deep Research debuted earlier this month to users of ChatGPT Pro, the company’s $200/month subscription tier, but is now available to all paid users. “Deep Research is now rolling out to all ChatGPT Plus, Team, Edu, and Enterprise users,” the company said in a social media post Tuesday. Previously, Pro users were allowed up to 100 queries per month.

1 month ago | hpcwire.com | Ali Azhar |Doug Eadline

Artificial intelligence (AI) has had a big impact on scientific research and development. From revolutionizing drug discovery to early detection of Alzheimer’s disease, AI has been at the forefront of driving innovation across various scientific disciplines. This is not surprising as unlike some of the traditional research tools, AI can work with vast datasets, recognize complex patterns, and generate new hypotheses.

2 months ago | hpcwire.com | Jaime Hampton |Doug Eadline

AI’s insatiable demand for data has exposed a growing problem: storage infrastructure isn’t keeping up. From training foundation models to running real-time inference, AI workloads require high-throughput, low-latency access to vast amounts of data spread across cloud, edge, and on-prem environments. Traditional storage systems have often struggled under the weight of these demands, creating bottlenecks that can drastically delay innovation in the AI space.

2 months ago | hpcwire.com | Alex Woodie |Doug Eadline

Most pharmaceuticals are naturally occurring, either directly or indirectly. Yet when it comes to cataloging all of proteins and enzymes that have evolved on Earth over the past 4 billion years, human knowledge barely scratches the surface. That’s why a company called Basecamp Research is bringing together graph and AI technologies to expand the scope of human knowledge and accelerate drug discovery.

2 months ago | hpcwire.com | Jaime Hampton |Doug Eadline

A new foundation model designed to unlock deeper insights into biological code has been released today. Developed through a collaboration led by Arc Institute and Nvidia, Evo 2 is trained on the DNA of more than 100,000 species, covering a vast range of life forms across different domains of biology. Developers of Evo 2 say it can identify patterns in gene sequences across disparate organisms that experimental researchers would need years to uncover.