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In recent months and years, we have seen the proliferation of artificial intelligence in virtually every sector, promising increased efficiency and productivity. AI has even begun expanding its reach into industries once seen as fundamentally human, such as scientific experimentation.
Although most scientific experiments cannot yet be conducted fully autonomously and have their results perceived as credible, AI has become a powerful tool that scientists can use to aid in their research and make their work much more efficient, safe, affordable, and reliable. From AI-powered simulations to the automation of individual aspects of the experimentation process, scientists will see AI become an increasingly integral part of their jobs.
Leading this AI revolution in the world of scientific research is Positron Networks, an AI company “dedicated to democratizing access to powerful computing resources and simplifying the user experience so scientists can focus on science.” Positron is led by Siddhartha (“Sid”) Rao, a tech industry expert with decades of experience working with leading companies, including Amazon Web Services. Under Rao’s guidance and direction, Positron hopes to revolutionize the scientific experimentation process for good.
Why AI is the future of scientific research
The key characteristic of artificial intelligence technology that makes it such a valuable tool for scientific researchers is its advanced data analytics capabilities.
“We’re building a platform designed for scientific computing that makes researchers more productive,” says Rao. “Positron is your gateway to faster, more efficient research. With our intuitive cloud platform, you can run complex computations, analyze vast datasets, and achieve results in record time — all without the IT headaches.”
One of the main ways users have leveraged artificial intelligence in several industries is by automating repetitive and monotonous tasks. In scientific research, there are several processes that — while necessary to the experimentation process — don’t require the efforts of human scientists. While steps like experiment design and interpretation of results require intense oversight, some aspects of data collection and analysis processes don’t require much human intervention.
When these monotonous tasks can be automated, scientists can spend more time on tasks that genuinely require their attention. For example, by automating data analysis and processing, scientists can focus more on collecting the data during experiments.
“We understand the unique needs of those who want to advance scientific discovery,” Rao says. “We provide the tools and resources you need to focus on your work, not on managing infrastructure.”
Another benefit of artificial intelligence in scientific research is its capability to increase accessibility. As Rao explains, scientific research is difficult enough as is, so there is no reason that the tools scientists use for their experiments should make their jobs more difficult.
“Positron makes advanced computing accessible to everyone,” Rao explains. “No steep learning curves, no unnecessary complexity, large capital outlays — just pure scientific power at your fingertips. Our platform is designed to be a self-service customer experience to increase scientific productivity.”
AI technology also offers the advantage of seamless integration with many pre-existing tools and platforms used by scientists. After all, the purpose of artificial intelligence is to make human workers’ jobs easier. If workers are required to learn complicated new software to use artificial intelligence, AI will only wind up causing more problems than it solves. And since artificial intelligence platforms are often cloud-based, they enable better collaboration between different individuals and teams.
Positron is revolutionizing AI in scientific research
Positron has recently released the Beta version of its groundbreaking platform, Project Robbie. According to Rao, this platform strives to simplify AI and machine learning workloads for researchers.
“With user-friendly tools and scalable resources, Robbie empowers scientists to run complex experiments effortlessly, accelerating breakthroughs in public-domain research and higher education environments,” Rao asserts. “No IT or software development skills are required.”
Indeed, the power of the technology, along with its ease of use, makes it a perfect solution for individuals, institutions, and enterprises alike. Individuals can use these powerful tools to push the boundaries of their field and pursue cutting-edge research; institutions can support their lab and researchers with a reliable and scalable platform that enhances learning and research; and enterprises can gain access to industry-leading tools that help them gain hands-on experience and get a head start on their research projects.
“When you empower individuals and labs with AI/ML-driven computing, you unleash exponential progress,” Rao adds.
When scientific researchers adopt artificial intelligence tools like Positron’s Project Robbie, they can expect to have their experimentation process streamlined and made more efficient. Scientists need not worry about their jobs being made redundant by automation — they will be made better with the help of AI. The Positron team likes to say that scientists can complete as many as five times the amount of experiments with Positron as they would without.
“Our platform empowers researchers, scientists, and students to accelerate discoveries with intuitive tools and robust performance, eliminating traditional IT and cloud complexities,” Rao concludes. “Positron is dedicated to supporting your work and helping you achieve more.”
