Globally, researchers are working to discover how artificial intelligence (AI) can be usefully applied across a range of commercial and public-sector situations. Much of the most exciting work is taking place in tech clusters, particularly in China and the United States, which are attracting some of the brightest global talent. Europe is also seeing rising levels of engagement, but not on the same scale. The onus is now on European companies and policy makers to ensure that the continent keeps pace with its peers and realizes AI's benefits across societies. If Europe is to make the most of AI, it must find a way to bring together stakeholders from across the continent.
While many people have learned to stay in touch with loved ones, friends, and colleagues through videoconferencing during the COVID-19 pandemic, the reduction of face-to-face interaction has boosted a market for robots providing substitutes for physical human contact. "Healing robots," such as the cuddly humanoid Lovot developed by Groove X Inc., Sony Corp.'s Aibo robotic dog, and Qoobo, a furry cushion with a tail that moves in reaction to strokes developed by Yukai Engineering Inc., are seeing sharp sales rises, the companies say. Lovot and Aibo can gather data on the well-being of their owners and report it remotely, which is why some people are gifting the automatons to their elderly parents living far away whom they are refraining from visiting due to infection risks. "When people feel uneasy or lonely, they tend to yearn for a sense of physical touch," Hiroshi Ishiguro, a professor of intelligent robotics at Osaka University, said in explaining the reason behind the trend. "Through healing robots, they must be trying to confirm the actual existence of others, which is hard to really feel on the telephone or through videoconferencing," he said.
Call center software provider Five9 Inc. has come up a winner yet again, comfortably beating Wall Street's targets with its third-quarter financial results and delivering strong guidance on top of that. The company reported a profit before certain costs such as stock compensation of 27 cents per share on revenue of $112 million, up 34% from a year ago. That was well ahead of Wall Street's forecast of 18 cents per share in earnings and $101 million in revenue. Five9 sells cloud-based contact center software and services for enterprises that enable them to keep track of and manage their interactions with customers. Its software covers traditional phone calls, as well as video calling services, emails and social media interactions.
Apple just sold more Macs than ever before, a beneficiary of the work and learning from home shift fueled by the coronavirus pandemic. The first Apple Macintosh computer was released in 1984, but 2020 was the winning year for the product line. During its quarterly earnings call Thursday, Apple said it sold $9 billion worth of Macs, up from $6.9 billion in the year ago quarter. "These are tremendous numbers," said Apple CEO Tim Cook on the call with investors. The company reported a fiscal fourth-quarter net income of $12.67 billion.
Google blasted through the coronavirus pandemic with gangbuster earnings, just a week after U.S. prosecutors sued the company for operating a purported illegal monopoly in its flagship search business. Alphabet Inc. reported a third-quarter profit of $11.2 billion, well outstripping analyst estimates. As importantly, digital advertising revenue of $37.1 billion was up compared with last year, marking a turnaround from a quarter earlier, when the company recorded the first drop in the category in company history. Cogs across the Alphabet empire were clicking. Helped by stay-at-home trends, YouTube pulled in more than $5 billion in advertising for the first time, gaining 32% over the same period a year earlier.
There has been a spike in healthcare concerns and crisis throughout 2019. So much that the World Health Organization's has implemented a 5-year strategic plan, the 13th General Programme of Work, to resolve some of these major issues in our society. The healthcare industry is extremely important for the well-being of our world and is constantly evolving and improving over time. While the changes in technology over the past decade are impressive, there is one in particular making its way to the top and will define the way we look at health care data. ERP systems have an extremely important role in data collection.
Google has had an eventful couple of weeks, announcing enhancements to its search and map capabilities at its virtual "Search On" event on Oct. 15, and on Oct. 20 being accused by the US Justice Department of engaging in anti-competitive practices in order to preserve its search engine business. At the Search On event, Google detailed how it has tapped AI and machine learning techniques to make improvements to Google Maps as well as Search. In an expansion of its search "busyness metrics," users will be able to see how busy locations are without identifying the specific beach, grocery store, pharmacy or other location. COVID-19 safety information will also be added to business profiles across Search and Maps, indicating whether the business is using safety precautions such as temperature checks or plexiglass shields, according to an account in VentureBeat. An improvement to the algorithm beneath the "Did you mean?" features of search, will enable more accurate and precise spelling suggestions.
The ability of computers to autonomously learn, predict, and adapt using massive datasets is driving innovation and competitive advantage across many industries and applications. The artificial intelligence (AI) is budding faster and prompting businesses to hop aboard the next big wave of computing to uncover deeper insight, quickly resolve their most difficult problems, and differentiate their products and services. Whether the goal is to build a smarter city, power an intelligent car, or deliver personalized medicine, we've only just begun to understand the real potential of AI. For the implementation of AI, HPE OEM has the expertise, edge to core technologies and partner ecosystem to help explore different use cases, experiment with AI and data technologies, and build the solution to be enterprise-ready. HPE OEM will benefit at all stages of the journey from formulating a roadmap through implementation and data migration.
The global AI-based fever detection camera market size is USD1.28 billion by 2020 and is projected to reach USD 2.19 billion by 2027, exhibiting a CAGR of 8.0% during the forecast period. The worldwide surge in the growth of corona infected people has led to the emergence of advanced artificial intelligence-based fever detection cameras to monitor and detect human body temperature. Vaccine for coronavirus is still in its development stage and hence, the only way to reduce the spread of this pandemic is to isolate the infected person from the crowd. This type of camera is being considered as an efficient and effective device to identify a person with high temperature as fever is one of the symptoms of coronavirus. An individual with high temperature is further screened with virus-specific tests.
Functional magnetic resonance imaging (fMRI) is a noninvasive diagnostic technique for brain disorders, such as Alzheimer's disease (AD). It measures minute changes in blood oxygen levels within the brain over time, giving insight into the local activity of neurons; however, fMRI has not been widely used in clinical diagnosis. Their limited use is due to the fact fMRI data are highly susceptible to noise, and the fMRI data structure is very complicated compared to a traditional x-ray or MRI scan. Scientists from Texas Tech University now report they developed a type of deep-learning algorithm known as a convolutional neural network (CNN) that can differentiate among the fMRI signals of healthy people, people with mild cognitive impairment, and people with AD. Their findings, "Spatiotemporal feature extraction and classification of Alzheimer's disease using deep learning 3D-CNN for fMRI data," is published in the Journal of Medical Imaging and led by Harshit Parmar, doctoral student at Texas Tech University.