Computer Science
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
As artificial intelligence reshapes research, a lack of workforce literacy threatens data integrity, reproducibility, and inclusivity across laboratory environments
| 3 min read
Acquisition strengthens Thermo Fisher’s position in digital clinical trials and AI-enabled data analysis for pharma and biotech customers
| 2 min read
Researchers urge stronger safeguards, testing, and workforce training as AI moves into safety-critical settings
| 2 min read
WHO’s AIRIS 2025 Symposium calls for global collaboration and lifecycle-based regulation to guide safe, ethical AI in laboratories and healthcare
| 2 min read
At My Green Lab Summit 2025, Erik Jokisalo of VWR explained how digital ecosystems—built on IoT, data, and transparency—are reshaping lab sustainability and resilience
| 2 min read
From ULT freezers to fume hoods, predictive analytics and performance scoring systems are helping labs uncover hidden inefficiencies, cut energy waste, and extend the lifespan of critical equipment
| 2 min read
Understanding the differences between these technologies can help lab managers make more informed decisions around informatics and automation
Updated | 4 min read
