Mediaboss Marketing

And naturally, the closer we get to smart intersections becoming more mainstream, the more technologies to power them go live, some of them with insanely advanced capabilities that nobody would have imagined some 10 years ago.

Iteris, for example, a company providing smart mobility infrastructure management, has come up with the worlds first 1080p high-definition (HD) video and four-dimensional (4D) radar sensor with integrated artificial intelligence (AI) algorithms.

In plain English, this is a traffic monitoring sensor that authorities across the world can install in their systems to get 1080p (thats HD resolution) video as well as 4D radar data using a technology bundling AI algorithms.

This means the new sensor is capable of offering insanely accurate detection, and just as expected, it can spot not only cars, but also trucks, bikes, and many other vehicle types. The parent company says the sensor has been optimized to also detect vulnerable road users, such as pedestrians.

In case youre wondering why a traffic management center (TMC) needs such advanced data, the benefits of this sensor go way beyond the simple approach when someone keeps an eye on the traffic in a certain intersection.

TMCs can be linked to connected cars, so the information collected by the sensor can be transmitted right back on the road where the new-generation vehicles can act accordingly based on the detected information. And this is why AI-powered detection is so important, as it offers extra accuracy, preventing errors and wrong information from being sent to connected cars.

In other words, it can help avoid collisions, reduce the speed when pedestrians are detected, and overall optimize the traffic flow because after all, everybody wants to get rid of traffic jams in the first place.

Were probably still many years away from the moment such complex sensors become more mainstream, but Iteris new idea is the living proof the future is already here. Fingers crossed, however, for authorities across the world to notice how much potential is hiding in this new-gen technology.

Excerpt from:
New Traffic Sensor Uses Artificial Intelligence to Detect Any Vehicle on the Road - autoevolution

The NIHR has awarded 2.5 million for new research led by the University of Birmingham that will use artificial intelligence (AI) to produce computer programmes and tools that will help doctors improve the choice of drugs in patients with clusters of multiple long-term conditions.

Called the OPTIMAL study (OPTIMising therapies, discovering therapeutic targets and AI assisted clinical management for patients Living with complex multimorbidity), the research aims to understand how different combinations of long-term conditions and the medicines taken for these diseases interact over time to worsen or improve a patients health.

The study will be led by Dr Thomas Jackson and Professor Krish Nirantharakumar at the University of Birmingham and carried out in collaboration with the University of Manchester, University Hospitals Birmingham NHS Foundation Trust, NHS Greater Glasgow & Clyde, University of St Andrews,and theMedicines and Healthcare Products Regulatory Agency.

An estimated 14 million people in England are living with two or more long-term conditions, with two-thirds of adults aged over 65 expected to be living with multiple long-term conditions by 2035.

Dr Thomas Jackson, Associate Professor in Geriatric Medicine at the University of Birmingham, said: Currently when people have multiple long-term conditions, we treat each disease separately. This means we prescribe a different drug for each condition, which may not help people with complex multimorbidity which is a term we use when patients have four or more long-term health problem.

A drug for one disease can make another disease worse or better, however, presently we do not have information on the effect of one drug on a second disease. This means doctors do not have enough information to know which drug to prescribe to people with complex multimorbidity.

Krish Nirantharakumar, Professor in Health Data Science and Public Health at the University of Birmingham, added: Through our research, we can group such people based on their mixes of disease. Then we can study the effects of a drug on each disease mix. This should help doctors prescribe better and reduce the number of drugs patients need. This will lead to changes in healthcare policy which would benefit most people with complex multimorbidity.

The research is one of a number of studies being funded by the NIHRs Artificial Intelligence for Multiple Long-Term Conditions (AIM) call, which is aligned to the aims of the NHSX AI Lab, that combine data science and AI methods with health, care and social science expertise to identify new clusters of disease and understand how multiple long-term conditions develop over the life course.

The call will fund up to 23 million of research in two waves, supporting a pipeline of research and capacity building in multiple long-term conditions research. The first wave has invested nearly 12 million into three Research Collaborations, nine Development Awards and a Research Support Facility, including the University of Birmingham-led study.

Improving the lives of people with multiple long-term conditions and their carers through research is an area of strategic focus for the NIHR, with its ambitions set out in its NIHR Strategic Framework for Multiple Long-Term Conditions Research.

Professor Lucy Chappell, NIHR Chief Executive and chair of the AIM funding committee, said: This large-scale investment in research will improve our understanding of clusters of multiple long-term conditions, including how they develop over a persons lifetime.

Over time, findings from this new research will point to solutions that might prevent or slow down the development of further conditions over time. We will also look at how we shape treatment and care to meet the needs of people with multiple long-term conditions and carers.

To date NIHR has invested 11million into research on multiple long-term conditions through two calls in partnership with the Medical Research Council, offering both pump-priming funds and funding to tackle multimorbidity at scale.

Go here to read the rest:
New study will use artificial intelligence to improve treatments for people with multiple long-term conditions - University of Birmingham

DUBLIN--(BUSINESS WIRE)--The "Artificial Intelligence (AI) in Medical Diagnostics Market by Component (Software, Service), Application (In Vivo, Radiology, OBGY,MRI, CT, Ultrasound, IVD), End User (Hospital, Diagnostic Laboratory, Diagnostic Imaging Center)- Global Forecast to 2025" report has been added to ResearchAndMarkets.com's offering.

The global AI in medical diagnostics market is projected to reach USD 3,868 million by 2025 from USD 505 million in 2020, at a CAGR of 50.2% during the forecast period.

Growth in this market is primarily driven by government initiatives to increase the adoption of AI-based technologies, increasing demand for AI tools in the medical field, growing focus on reducing the workload of radiologists, influx of large and complex datasets, growth in funding for AI-based start-ups, and the growing number of cross-industry partnerships and collaborations.

Software segment is expected to grow at the highest CAGR

On the basis of component, the AI in medical diagnostics market is segmented into software and services. The services segment dominated this market in 2020, while the software segment is estimated to grow at a higher CAGR during the forecast period. Software solutions help healthcare providers gain a competitive edge despite the challenges of being short-staffed and facing increasing imaging scan volumes. This is a key factor driving the growth of the software segment.

Hospitals to establish the largest market size of AI in medical diagnostics market

Based on end user, the AI in medical diagnostics market is segmented into hospitals, diagnostic imaging centers, diagnostic laboratories, and other end users. The hospitals segment commanded the largest share of 64.1% of this market in 2019. The large share of this segment can be attributed to the rising number of diagnostic imaging procedures performed in hospitals, the growing inclination of hospitals toward the automation and digitization of radiology patient workflow, increasing adoption of minimally invasive procedures in hospitals to improve the quality of patient care, and the rising adoption of advanced imaging modalities to improve workflow efficiency.

North America To Witness Significant Growth From 2020 to 2025

The AI in medical diagnostics market has been segmented into four main regional segments, namely, North America, Europe, the Asia Pacific, and the Rest of the World. In 2019, North America accounted for the largest market share of 37.6%. However, the APAC market is projected to register the highest CAGR of 53.2% during the forecast period, primarily due to the growth strategies adopted by companies in emerging markets, improved medical diagnostic infrastructure, increasing geriatric population, rising prevalence of cancer, and the implementation of favorable government initiatives.

Market Dynamics

Drivers

Restraints

Opportunities

Challenges

Companies Mentioned

For more information about this report visit https://www.researchandmarkets.com/r/4bmwui

Continue reading here:
Artificial Intelligence in Medical Diagnostics Market by Component, Application, End-user and Region - Global Forecast to 2025 -...

Instagram might soon ask for your birthday.

Follow Rich DeMuro onInstagramfor more tech news, tips and tricks.

Facebook says the new question is to create a safer, more private experience for young users. Theyll use the information to weed out content and advertising that might not appropriate for them.

Starting now, Instagram will show a notification asking for your date of birth. You can say no a handful of times, but it might impact your ability to continue using the app.

You might also see a warning screen on a post thats sensitive or graphic if you havent already confirmed your birthday, youll have to enter the information to see the post.

Facebook says they know some people will fib about their date of birth, but they have a solution for that, too. The company has already explained how theyre using artificial intelligence to estimate a users age, especially data scraped from posts that mention Happy Birthday.

Keep in mind, Instagram will only show the new birthday prompt to users that havent previously given their age. If youre curious if youve already shared the information (including through a linked Facebook account), you can go to Instagram > Settings > Account > Personal Information.

Listen to theRich on Techpodcast for answers to your tech questions.

Continued here:
Instagram will soon ask for your age and use artificial intelligence to detect when youre lying - KTLA

With artificial intelligence (AI) and machine learning (ML) making inroads into what were hitherto exclusive human domains like writing and driving it was only a matter of time that artists too began experimenting with it. Many exhibition centres and auction houses around the world have begun taking interest in art pieces created with AI. The latest in that list is an exhibition set to be held in Kolkata later this month. It will be India's first solo exhibition of AI Art and will feature works of the pioneering artist, Harshit Agarwal.

Emami Art, the Kolkata gallery hosting the exhibition, posed serious questions on its website about how AI will shape the artistic landscape. It started by asking whether AI art is truly the future of contemporary art and whether AI is a competition or collaborator. The exhibition, titled EXO-stential AI Musings on the Posthuman, will try to discuss these issues, the gallery said.

Usually, to create a piece of AI art, artists write algorithms keeping in mind a desired visual outcome. These algorithms give broad directions and allows the machine to learn a specific aesthetic by analysing thousands of images. The machine then creates an image based on what it has learned.

After the AI Art form came into existence in 2015, the initial years were turbulent and only led to the creation of hauntingly familiar yet alien forms. The field has developed considerably in the last five years. Emami Art said it is trying to present the enlarged practice and diversity of AI art through this solo exhibition.

The exhibition will begin September 11 and will last till the end of month. Emami Art described Harshit Agrawal as a pioneer in the developing genre of AI Art and has worked with it since 2015. His work has been nominated twice for the top tech art prize, the Lumen.

On an Instagram post, Agarwal spoke about the exhibition: "Bringing together my #AI art practice of over 6 years since the inception of this field. Spanning themes beyond the novelty hype to explore themes of authorship, gender perceptions, deep rooted social inequities and biases, identity, seemingly universal notions of the everyday- all through this new lens of AI with its unique capabilities of complex data understanding and estrangement. Let's engage consciously with this beast we're increasingly being immersed in, journeying into the #posthuman, instead of being simply sucked into it!"

View original post here:
AI Art: Kolkata Exhibition to Showcase Artworks Created With Assistance of Artificial Intelligence - Gadgets 360