Aiotechnical provides all of the latest tech and health news. This user-friendly platform makes sharing information simple; additionally it’s packed with valuable info for beginners in AI world.
AI in this subfield involves analyzing data and creating algorithms that outstrip or match human performance (Lee 2018:110). Tasks within this subfield include financial risk evaluation, weather prediction, and optimizing energy usage.
AI in Health Tech
Aiotechnical.com health & beauty can be used to address a range of challenges: from preventing medication errors and identifying patients at risk of hospitalization, to decreasing clinician burnout. AI also can reduce operational costs by automating mundane tasks and improving efficiency.
One such company is Selta Square, which utilizes AI to accelerate drug development by automating many manual steps associated with Pharmacovigilance (PV). PV is an ongoing testing regimen required of any new medication but using Machine Learning algorithms can speed it up dramatically and make testing faster and more accurate.
Medical imaging can benefit greatly from artificial intelligence techniques like Machine Learning (ML). They can identify cancerous tumours, lung nodules and other conditions more quickly than ever before, while Dynamic Learning can identify correlations between diseases that had not previously been recognized and detect anomalous behaviors such as unbundling where hospitals bill for individual elements rather than the full treatment and save healthcare systems billions in costs.
AI & IoT
IoT sensors generate vast amounts of data, while AI transforms this data into valuable insights for process control, optimization and process control/optimisation. AI applications can help prevent unplanned downtime, increase operational efficiency, create new products/services while mitigating risks more effectively.
AI adds intelligence to IoT applications with intelligent automation that improves decision-making and speed, eliminating manual input while decreasing latency in applications. For instance, reading shipping manifests to admit trucks into freight yards is time consuming work which could otherwise be spent more productively utilizing simple AI solutions instead of manually opening gates with employee assistance.
Self-driving cars are another prime example of AI+IoT systems that utilize data streams and real-time observations for decision making and creative plan creation. Reliant upon sensors, gadgets, cameras and other advanced technologies to ensure safe automated driving, these autonomous driving machines use continuous data streams as input to make efficient decisions and design innovative plans based on continuous analysis and real time observations.
AI & Edge Computing
AI-enabled devices that use ultra-low latency streaming of surgical video, self-driving cars and virtual assistants in retail all benefit from being able to quickly process data locally and rapidly, thanks to Multi-Access Edge Computing (MEC), which delivers high performance, low latency processing power at the network’s edge.
Edge AI provides numerous benefits, such as:
Enhance security: Processing data locally reduces its likelihood of being transmitted to a cloud server and intercepted, offering increased privacy protections to those whose faces, voices or medical images are analyzed while also aiding industries subject to data sovereignty regulations.
Reduced bandwidth costs: Storing large volumes of data in the cloud can be prohibitively expensive; by deploying AI at the edge, these costs are removed completely and models can be updated on demand – providing remote and rural communities with limited broadband an ideal solution.
AI & Robotics
Robotics is often confused with Artificial Intelligence (AI). Although both fields share some similarities, robotics stands alone as its own field dealing with mechanical engineering and computer science to develop machines that look and act like humans. Robots are capable of performing simple tasks like picking up objects and placing them elsewhere.
Robots combined with AI are capable of more complex tasks, since AI provides it with its “mind,” while robotics acts as its body.
AI-enabled robots can help doctors monitor patient behavior and provide detailed reports for EHRs, while more advanced models may even perform surgery or administer needleless vaccinations.
Robots equipped with AI can provide solutions for industry and business-specific challenges, including worker safety and increasing efficiency. For example, in agriculture robots incorporating AI can prevent fatigued workers while making sure each plant receives enough water and nutrients to reach its maximum potential.
