Day: December 17, 2020
Delivering Proactive Mental Healthcare With Artificial Intelligence – HealthITAnalytics.com
By Jessica Kent December 17, 2020 – While cancer obviously takes a momentous physical toll on the body, the disease can have dire effects on a person’s mental health as well – a trend that has only grown more common with the spread of COVID-19. A recent survey revealed that 50.7 percent of cancer patients had…
Kangaroo Court: AI Education – Machine Learning | Association of Certified E-Discovery Specialists (ACEDS) – JD Supra
The past five years have witnessed a steady growth in both the testing and application of AI solutions for both legal ops and litigation teams. Whilst many of these applications are early stage, some are beginning to see enterprise-wide adoption. This promising move toward AI cannot succeed on its own, however. For the application of…
What IT Leaders Expect from AI, ML in 2021
At the end of each year, eWEEK posts observations from IT thought leaders about what they think we should all expect in the coming year—new products, innovative services, trends to look for, and so on. In this article, we’re focusing on key trends involving AI, machine learning and deep learning IT software and services. Here…
Artificial intelligence classifies supernova explosions with unprecedented accuracy
Cassiopeia A, or Cas A, is a supernova remnant located 10,000 light years away in the constellation Cassiopeia, and is the remnant of a once massive star that died in a violent explosion roughly 340 years ago. This image layers infrared, visible, and X-ray data to reveal filamentary structures of dust and gas. Cas A…
Predictions for embedded machine learning for IoT in 2021 – Urgent Communications
Despite silicon shortages, several new capabilities for embedded machine learning on Internet of Things devices will emerge in 2021, industry watchers predict. New capabilities mean severing the cord between so many Internet of Things ( IoT) devices and the cloud and instead running processes at the edge. The boost in chip processing capabilities—which will continue…
Embedded AI and Machine Learning Adding New Advancements In Tech Space – Analytics Insight
Throughout the most recent years, as sensor and MCU costs dove and shipped volumes have gone through the roof, an ever-increasing number of organizations have attempted to exploit by adding sensor-driven embedded AI to their products. Automotive is driving the trend– the average non-autonomous vehicle presently has 100 sensors, sending information to 30-50 microcontrollers that…
What IT Leaders Expect from AI, ML in 2021
At the end of each year, eWEEK posts observations from IT thought leaders about what they think we should all expect in the coming year—new products, innovative services, trends to look for, and so on. In this article, we’re focusing on key trends involving AI, machine learning and deep learning IT software and services. Here…
Teaching artificial intelligence to adapt
IMAGE: From left: Terrence Sejnowski, Kay Tye and Ben Tsuda. view more Credit: Salk Institute LA JOLLA–(December 16, 2020) Getting computers to “think” like humans is the holy grail of artificial intelligence, but human brains turn out to be tough acts to follow. The human brain is a master of applying previously learned knowledge to new…
How Artificial Intelligence and Robots are Changing the World? Use cases of AI and Robotics – Analytics Insight
How Artificial Intelligence and Robots are Changing the World? Use cases of AI and Robotics December 16, 2020 0 comments Artificial intelligence and robotics are bringing drastic changes in the technological fields. Things we only imagined twenty years back have now become a reality. From automated systems at a manufacturing plant to self-serving robots in…
Method finds hidden warning signals in measurements collected over time
When you’re responsible for a multimillion-dollar satellite hurtling through space at thousands of miles per hour, you want to be sure it’s running smoothly. And time series can help. A time series is simply a record of a measurement taken repeatedly over time. It can keep track of a system’s long-term trends and short-term blips….