Raad Labs

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Testing AI in the mini-lab

"The mini-labs provide a flexible test environment that delivers real measurement data," Gamella said in a statement. "They're a bit like a playground for algorithms, where researchers can test their AI beyond simulated data in a controlled and safe environment."

AI hardware 4month
Raspberry AI Launches New Tools To Accelerate Creative Workflows

Raspberry AI, a generative platform for fashion creatives, is expanding its platform by launching three new tools for marketing and merchandising teams.

Rivers Agile unveils deep tech innovation center to boost Pittsburgh's robotics cluster

Rivers Agile opened a deep tech innovation center in Callery. The center supports robotics and AI technology development. Pittsburgh's robotics cluster is gaining national recognition.

Robotics 5month
Why The Reservoir built 'the Olympic Village of agtech' to de-risk and scale farm robotics

"We're ensuring that breakthrough technologies in AI, robotics, and precision agriculture don't just stay in the lab or on pitch decks."

Robotics 5month
AI accelerating medical research; Solving pain points in sales

Beyond speed, AI has also helped reduce costs. Conventional methods required nearly $35,000 per genome analysis, but AI-driven models running on GPUs have lowered the cost to under $2,000, making high-quality genomic research more accessible.

AI hardware 5month
Telescope advances self-driving lab technology

Telescope Innovations Corp. (CSE:TELI) is leveraging its expertise to advance chemistry process development and crystallization optimization in pharmaceuticals, industrial chemicals, and critical minerals ・Telescope's Self-Driving Labs (SDLs) integrate AI,

Sonar Bets On AI Code Automation With AutoCodeRover Acquisition

As AutoCodeRover becomes part of Sonar's platform, enterprises should track its impact on software development workflows and technical debt reduction.

Rad AI raises $60M to help radiologists improve accuracy of patient care

According to Rad AI, radiologists generate more than 700 million images per year in the United States alone and account for 80% of healthcare data. Collating and analyzing that data puts a tremendous burden on radiologists, which leads to an increasing issue among employees with burnout.