Accelerated Technology Laboratories (ATL), has announced today that its ATL Sample Master Laboratory Information Management System (LIMS) has been verified as Citrix Ready
Accelerated Technology Laboratories, (ATL) has announced that it is expanding its global partner program with the following additions to its ATL Certified Sales Agent program
Accelerate Technology Laboratories (ATL) has launched the XL BOD Master, a new product aimed at wastewater laboratories
Accelerated Technology Laboratories (ATL) has introduced Sample Master LIMS 8.5, its flagship LIMS product, which features a range of user-suggested enhancements
ATL's Sample Master product line provides a total laboratory automation and data management solution that brings the ease and familiarity of Windows-based, point-and-click operability to the laboratory.
Sample Master Result Point provides users access to real-time statuses and results via the Internet and Intranet. Users also have access to XML web reports and downloadable reports.
In January 2020 the American Diabetes Association released a new set of clinical standards that, for the first time, included the use of an FDA-approved autonomous artificial intelligence (AI) platform for detecting diabetic retinopathy in people with diabetes.
At the end of February physIQ and the US Department of Veteran’s Affairs published data from a clinical trial demonstrating the use of physIQ’s machine-learning algorithm to predict when an individual patient with previously diagnosed heart failure will likely require a readmission to hospital.
Cloud research tools provide a platform for new avenues of scientific research by providing fast access to bare-metal resources.
New processors and GPU technology continue to demand more power than the previous generations, combining this with increasingly dense architectures requires cooling solutions such as liquid or immersion cooling.
Tate Cantrell, CTO, Verne Global, comments on the cost of the AI computing revolution
European researchers are working on a new programming environment for exascale computing that aims to make using these systems more efficient and programmers more productive.
