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Evolving AI in health care with Holographic Telepresence

#artificialintelligence

AI in health care sector has evolved leaps and bounds. However, there are certain sensitive areas or domains within it, where the magic touch of AI is yet to be felt. Such a domain is that of emergency health care domains like trauma care centres. Apparently, trauma care centres are the most visited because of the rate of accidents that occur daily. May it be motorbike accidents or gunshot wounds, the victims are straight sent to trauma care hospitals every day.


Autonowashing And Waymo's Approach To Fully Autonomous Vehicles

#artificialintelligence

Waymo is a self-driving car company, but they don't particularly like using that terminology. Instead they prefer fully autonomous as a more accurate way to describe driverless or autonomous driving technology. What consumers may not fully understand is the difference between self-driving and fully autonomous. A self-driving car is a type of vehicle that can provide some level of automation like ADAS (Advanced Driver Assistance System) or automatic cruise control. It still requires driver attention for proper operation or it can lead to accidents.


Finding Value in All Data Types

#artificialintelligence

One of the key factors in determining whether companies will thrive or fail in the next five years is how well they use the data they have available. This is a problem for many that may not even know what data they have, let alone how to use it or what insights it may contain. Business processes often involve creating or capturing data in a way that is siloed and difficult to access, analyze or act on outside of the process for which it was created. Even today, many business processes are reliant on physical record-keeping – note-taking, filling out paper forms, or ticking checkboxes on hard copy documents that are then filed away and forgotten about. Even if all a business's procedural documents and record-keeping is digital, the information is of little value unless careful thought is given to the data structure, format, and storage media that will be used.


Affectiva receives six new patents for using AI to analyse vehicle occupants

#artificialintelligence

Human perception AI pioneer Affectiva has been granted six patents for detecting the awareness and emotions of vehicle occupants. Affectiva Automotive AI combines deep learning with computer vision – using in-vehicle cameras – to analyse the states of the driver and other vehicle occupants in a cabin in real-time. "Over the last decade, Affectiva has continuously pursued new patents as we have pioneered and advanced the fields of Emotion AI and Human Perception AI. The breadth and depth of our patent portfolio reflect our commitment to pushing the boundaries of computer vision, machine learning, deep learning and AI at the edge; and, is a testament to our leadership in defining the many creative and diverse applications of Human Perception AI that are shaping industries today and in the future." The main benefit of this data is, of course, safety.


How artificial intelligence can help curb traffic accidents in cities

#artificialintelligence

Despite pandemic-driven restrictions on movement, there were over 12,000 accidents in Madrid in 2020, leading to 31 fatalities. In Barcelona, there were more than 5,700 collisions, causing 14 deaths. Pedestrian and vehicle safety is a priority, which is why a research project at the Universitat Oberta de Catalunya (UOC) is harnessing artificial intelligence (AI) to make decisions that will make cities safer. The researchers have looked into the correlation between the complexity of certain urban areas and the likelihood of an accident occurring there. According to the researchers, the data they have gathered can be used to train neural networks to detect probable hazards in an area and work out patterns associated with this high risk potential.


Autonomous Driving in the Face of Unconventional Odds

Communications of the ACM

Traffic accidents are a major unsolved problem worldwide. Yearly, it causes around 1.35 million deaths and 10 million people sustain nonfatal injuries9 in addition to having substantial negative economic and social effects. With approximately 90% of accidents being due to human errors, autonomous driving (AD) will play a vital role in saving human lives and substantial property damage. Moreover, it promises far greater mobility, energy saving, and less air pollution. Despite the recent advances to achieve such promising vision, enabling autonomous vehicles in complex environments is still decades away.6


Tesla On Autopilot Crashed Into Michigan Police Car By Driver With Suspended License

International Business Times

A Tesla Model Y traveling on Autopilot crashed into a parked police car in Michigan while officers were investigating an accident involving a deer and another vehicle. The crash took place around 1:12 a.m. Lt. Brian Oleksyk of the Michigan State Police confirmed the Tesla was operating on its driver's assistance system when it crashed into a squad car that was parked partially in the right lane. The name of the driver has not been released. The 22-year-old who was operating the vehicle received citations for having a suspended license and failing to move over.


Detroit police don't think Tesla was on Autopilot during 'violent' semi crash

FOX News

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. Detroit police investigating an accident involving a Tesla Model Y getting lodged under a semi-truck trailer do not believe the car's Autopilot system was engaged at the time of the collision. The Monday incident left a passenger in the car in critical condition, while the driver sustained minor injuries. The National Highway Traffic Safety Administration has sent a team to investigate the accident, which it described as "violent" and was similar to two fatal crashes in Florida that involved the Autopilot feature.


How artificial intelligence can help curb traffic accidents in cities

#artificialintelligence

Despite pandemic-driven restrictions on movement, there were over 12,000 accidents in Madrid in 2020, leading to 31 fatalities. In Barcelona, there were more than 5,700 collisions, causing 14 deaths. Pedestrian and vehicle safety is a priority, which is why a research project at the Universitat Oberta de Catalunya (UOC) is harnessing artificial intelligence (AI) to make decisions that will make cities safer. The researchers have looked into the correlation between the complexity of certain urban areas and the likelihood of an accident occurring there. According to the researchers, the data they have gathered can be used to train neural networks to detect probable hazards in an area and work out patterns associated with this high risk potential. The researchers, headed by Cristina Bustos and Javier Borge, are working with algorithms that will aid traffic authorities in reducing the likelihood of accidents in urban environments.


AI Can Revolutionise Industrial Safety; Save Lives

#artificialintelligence

Between May and July 2020, there have been 30 recorded industrial accidents in India, killing at least 75 workers. These figures, along with regular reports of similar incidents around the country and the world, bring into sharp focus the need to enhance industrial safety on site. While safety has always been a primary concern for manufacturing and logistics organisations, forward-looking companies have, in recent years, tried to leverage emerging technologies to monitor and improve safety protocols and training methods on site. With the possibility of using machine learning to detect and flag violations, artificial intelligence (AI) can help organisations around the world make strides in reducing the incidence of injuries and fatalities at work. One crucial aspect of industrial safety is the need for people on the site to wear personal protective equipment (PPE).