Computer Science
Purpose-built, domain-aware AI systems are transforming experimental design, accelerating discovery, and reshaping the role of laboratory leadership in R&D environments
| 5 min read
New NSF ExLENT awards expand hands-on STEM training in AI, biotechnology, quantum science, and advanced manufacturing
| 2 min read
APA workforce data reveal rising AI adoption, training gaps, and staffing implications for laboratories
| 3 min read
OECD and EPO study outlines staffing, infrastructure, and supply chain trends in quantum research
| 3 min read
Thomson Reuters Foundation analysis reveals major gaps in AI environmental impact measurement and governance
| 3 min read
Artificial intelligence is reshaping laboratory space planning, staffing density, and infrastructure requirements
| 2 min read
Revvity’s Signals Xynthetica connects predictive molecular discovery with governed experimental workflows
| 2 min read
New research shows widespread AI adoption without strategy, underscoring challenges relevant to scientific workplaces
| 2 min read
Survey shows major gaps in AI governance, scientific data quality, and model visibility in labs
| 3 min read
A human-centric AI strategy can help lab leaders strengthen trust, skills, and collaboration across scientific teams
| 2 min read
Federal agencies outline a new plan to advance AI-driven discovery, emphasizing data infrastructure, workforce training, and research innovation
| 2 min read
As laboratories become more data-driven through AI and automation, cybersecurity is emerging as an essential part of high-quality safety management
| 2 min read
Elsevier’s Researcher of the Future report shows that while many researchers see AI’s benefits, trust, training, and governance gaps still limit adoption in corporate R&D
| 2 min read
