Live tracking and analyzing of the dynamics of chimeric antigen receptor (CAR) T-cells targeting cancer cells can open new avenues for the development of cancer immunotherapy. However, imaging via conventional microscopy approaches can result in cellular damage, and assessments of cell-to-cell interactions are extremely difficult and labor-intensive. When researchers applied deep learning and 3D holographic microscopy to the task, however, they not only avoided these difficultues but found that AI was better at it than humans were. A critical stage in the development of the human immune system's ability to respond not just generally to any invader (such as pathogens or cancer cells) but specifically to that particular type of invader and remember it should it attempt to invade again is the formation of a junction between an immune cell called a T-cell and a cell that presents the antigen, or part of the invader that is causing the problem, to it. This process is like when a picture of a suspect is sent to a police car so that the officers can recognize the criminal they are trying to track down.
As the pandemic continues to force us to alter our personal and professional lives, it has also presented new and complex challenges for business leaders. In order to tackle short-term, long-term and unexpected obstacles, many leaders have turned to AI to help navigate these disruptions. With this in mind, here are three AI trends we've seen this year that executives should keep in mind as they develop their 2021 strategies. AI has the power to enhance business, empowering executives and decision-makers to be more strategic and helping to make businesses more profitable. Many organizations that leverage AI technologies are doing so to weather the Covid-19 storm, and in many cases, they have grown their bottom lines while facing unprecedented adversity.
No wins come at no cost. We often forget about this, though, and demand instant wins. This is an especially true story as the global community is seeking the Covid-19 vaccine and rapid business recovery. So, in this article, I will take you behind the scenes of the hottest tech trends and show you the background behind their "sweeping success." I hope this article will help you stay aware of the advancements that make headlines and remember that every success takes time.
Machine learning is changing the world, and it’s changing it fast. In just the last few years, it’s brought us virtual assistants that understand language, autonomous vehicles, new drug discoveries, AI-based triage for medical scans, handwriting recognition and more. One thing that machine learning shouldn’t be changing is the climate. The issue relates to how machine learning is developed. In […]
Artificial intelligence is a branch in computer science that deals with the simulation of intelligent behavior. It gives computers an ability to think and perform different tasks, such as humans and animals, while learning through the errors during this process. Artificial Intelligence is usually an algorithm built in such a way that permits the computer to perform tasks efficiently while making nominal errors. It uses personified knowledge by applying deep learning and machine learning algorithms while performing several tasks. Drug discovery is the preliminary step in the process of a novel drug identification and its therapeutic target. Artificial intelligence (AI) is commonly used in the healthcare industry for drug discovery.
Nvidia reported revenues of $5.0 billion for its fourth fiscal quarter ended January 31, up 61% from a year earlier. The revenues and non-GAAP earnings per share of $3.10 beat expectations as new gaming hardware and AI products generated strong demand. A year ago, Nvidia reported non-GAAP earnings per share of $1.89 on revenues of $3.1 billion. The Santa Clara, California-based company makes graphics processing units (GPUs) that can be used for games, AI, and datacenter computing. While many businesses have been hit hard by the pandemic, Nvidia has seen a boost in those areas.
Scientists are working on embryo analysis with computer algorithms to help build families. The world's first IVF baby was born in 1978 in the UK. Since then artificial reproductive technology has been refined and according to the Centers for Disease Control and Prevention about four million births, each year can be attributed to IVF in the U.S. This equates to 1%-2% of all births in the U.S. annually. While many people had to put family planning on pause for some of the pandemic developments in fertility treatment have continued.
Thanks to the technology that we have at our hands these days, our everyday lives are much easier. We are able to complete multiple tasks without even leaving the comfort of our homes, stay updated on the latest news, and much more. Medicine was one of the areas that progressed immensely due to technological advancements, and we couldn't be happier about it. People receive the proper care, get accurate diagnostics, and the devices used to make every service both effective and efficient. In the past couple of years, there have been talks of implementing artificial intelligence in the medicinal sector as a way to improve this industry and make it near-perfect.