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Artificial Intelligence Creating New Possibilities for Personalisation This Year

Tech companies today are also attempting to bridge the gap between academia and the career market

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Artificial Intelligence (AI) and cross-industry collaborations are creating new avenues for data collection and offering personalised services to users this year, according to a report.

Among other technology trends that are picking up this year are the convergence of the smart home and healthcare, autonomous vehicles coming for last-mile delivery and data becoming a hot-button geopolitical issue, according to the report titled “14 Trends Shaping Tech” from CB Insights.

“As a more tech-savvy generation ages up, we’ll see the smart home begin acting as a kind of in-home health aide, monitoring senior citizens’ health and well being. We’ll see logistics players experiment with finally moving beyond a human driver,” said the report.

“And we’ll see cross-industry collaborations, whether via ancestry-informed Spotify playlists or limited edition Fortnite game skins,” it added.

In September 2018, Spotify partnered with Ancestry.com to utilise DNA data to create unique playlists for individuals.

Playlists reflect music linked to different ethnicities and regions. A person with ancestral roots in Bengaluru, for example, might see Carnatic violinists and Kannada film songs on their playlists.

DNA data is also informing how we eat. GenoPalate, for example, collects DNA info through saliva samples and analyses physiological components like an individual’s ability to absorb certain vitamins or how fast they can metabolize nutrients.

From there, it matches this information to nutrition analyses that it has conducted on a wide range of food and suggests a personalised diet. It also sells its own meal kits that use this information to map out menus.

artificial intelligence, nobel prize
“Artificial intelligence is now one of the fastest-growing areas in all of science and one of the most talked-about topics in society.” VOA

“We’ll also see technology brands expand beyond their core products and turn themselves into a lifestyle,” said the report.

For example, as electric vehicle users need to wait for their batteries to charge for anywhere from 30 minutes to two hours, the makers of these vehicles are trying to turn this idle time into an asset.

China’s NioHouse couples charging stations with a host of activities. At the NioHouse, a user can visit the library, drop children off at daycare, co-work, and even visit a nap pod to rest while charging.

Nio has also partnered with fashion designer Hussein Chalayan to launch and sell a fashion line, Nio Extreme.

Also Read- YouTube Working to Overhaul its Verification Programme

Tech companies today are also attempting to bridge the gap between academia and the career market.

Companies like the Lambda School and Flatiron School offer courses to train students on exactly the skills they will need to get a job, said the report.

These apprenticeships mostly focus on tech skills like computer science and coding. Training comes with the explicit goal of employment and students only need to pay their tuition once they have landed a job that pays them above a certain range.

Investors are also betting on the rise of digital goods. While these goods cannot be owned in the physical world, they come with clout, and offer personalisation and in-game experiences to otherwise one-size-fits-all characters, the research showed. (IANS)

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Researchers Develop New Method Based on Artificial Intelligence to Detect Prostate Cancer

To train and test the AI system, the researchers digitized more than 8,000 biopsies taken from some 1,200 Swedish men in the ages of 50-69

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The AI-system has the potential to solve one of the bottlenecks in the modern prostate cancer histopathology by providing more accurate diagnosis and better treatment decisions. Pixabay

Researchers have developed a method based on artificial intelligence (AI) for diagnosis and grading of prostate cancer.

The AI-system has the potential to solve one of the bottlenecks in the modern prostate cancer histopathology by providing more accurate diagnosis and better treatment decisions, they said.

The study, published in the journal The Lancet Oncology, shows that the AI-system is as good at identifying and grading prostate cancer as world-leading uro-pathologists.

“Our results show that it is possible to train an AI-system to detect and grade prostate cancer on the same level as leading experts,” said study researcher Martin Eklund, Associate Professor at Karolinska Institutet in Sweden. “This has the potential to significantly reduce the workload of uro-pathologists and allow them to focus on the most difficult cases,” Eklund added.

A problem in modern prostate pathology is that there is a certain degree of subjectivity in the assessments of the biopsies. Different pathologists can reach different conclusions even though they are studying the same samples.

This leads to a clinical problem where the doctors must pick treatment based on ambiguous information, the study said. In this context, the researchers see significant potential to use the AI-technology to increase the reproducibility of the pathological assessments.

To train and test the AI system, the researchers digitized more than 8,000 biopsies taken from some 1,200 Swedish men in the ages of 50-69 to high-resolution images using digital pathology scanners. About 6,600 of the samples were used to train the AI system to spot the difference between biopsies with or without cancer.

The remaining samples, and additional sets of samples collected from other labs, were used to test the AI system. Its results were also compared against the assessments of 23 world-leading uro-pathologists.

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Researchers have developed a method based on artificial intelligence (AI) for diagnosis and grading of prostate cancer. Pixabay

The findings showed that the AI-system was almost near-perfect in determining whether a sample contained cancer or not, as well as in estimating the length of the cancer tumor in the biopsy. When it comes to determining the severity of the prostate cancer, the so-called Gleason score, the AI system was on par with the international experts.

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The initial findings are promising but more validation is needed before the AI system may be rolled out broadly in clinical practice, according to the researchers. (IANS)