If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
In perinatal medicine, fetal weight is a sort of Goldilocks problem: it has to be just right. If the fetus is too small, it may not be developing properly; too large and the mother faces much greater risks in childbirth. The trouble is, there is no way to directly measure fetal weight. Instead, doctors must rely on estimates that are calculated using a formula that includes the fetus's head and abdominal circumference, and the length of the femur. Unfortunately, this formula isn't always as accurate as doctors would like.
Artificial Intelligence or AI is the latest technological trend that will make life easier. The main goal of AI is not to steal people's jobs, but to automate some of the manual tasks they have. Technology has grown tremendously in the last years and every device or product that is invented relies heavily on technology. Even though many people associate AI with robots, it is useful not only for them. Cars use AI, smartphones use AI, and even marketing specialists.
In 2020, there is no doubt that the Covid-19 pandemic has impacted the global economy as well as the pace of technology advances and new product development in the electronics industry. Despite these delays, there have been a number of new innovations across the component industry, driving technology trends across various technologies, including 5G, artificial intelligence (AI), extended reality (XR), internet of things (IoT), and automotive safety. TrendForce's technology forecast for 2021 indicates that new technology adoption continues to ramp up. Here are the market researcher's top 10 technology trends. TrendForce expects the three major DRAM suppliers – Samsung, SK Hynix, and Micron – to continue their transition towards the 1Z-nm and 1-alpha-nm process technologies, and officially introduce the EUV era, with Samsung leading the charge in 2021. DRAM suppliers will gradually replace their existing double patterning technologies in order to optimize their cost structure and manufacturing efficiency, said analysts.
Speaking to UKTN, Marko Hozjan, co-founder and CEO of TAIA, explains, "TAIA helps businesses translate their content more efficiently by providing professional translators with AI assistance. Files are automatically analysed and a price quote with delivery times is available in under a minute. Users can select between a range of services and delivery times to order a translation service that best fits their needs and budget. Once the project is ordered, it's automatically translated using Neural Machine Translation and prefilled with existing translations from customers' unique Translation memory. This way your projects get translated faster and more consistently with every order. Users can monitor the progress of their project in the convenient web application and easily manage all their translation needs in one place, keeping their data secure and their costs optimised."
An example of a fundus eye images taken from the UK Biobank. A simple eye exam combined with powerful artificial intelligence (AI) machine learning technology could provide early detection of Parkinson's disease, according to research being presented at the annual meeting of the Radiological Society of North America (RSNA). Parkinson's disease is a progressive disorder of the central nervous system that affects millions of people worldwide. Diagnosis is typically based on symptoms like tremors, muscle stiffness and impaired balance -- an approach that has significant limitations. "The issue with that method is that patients usually develop symptoms only after prolonged progression with significant injury to dopamine brain neurons," said study lead author Maximillian Diaz, a biomedical engineering Ph.D. student at the University of Florida in Gainesville, Florida. "This means that we are diagnosing patients late in the disease process."
This means that 2020 will be an important year for the next decade of innovations in the AI space to set the tone and continue the current momentum. But what does this mean for organizations selling and buying AI solutions? In which areas should they invest? IDC and Forrester issued lately their forecasts for artificial intelligence (AI) in 2020 and beyond. While outside "market events" can make firms cautious about AI, says Forrester, "brave ones" will continue to invest and expand the first "timid" measures they took in 2019.
Artificial Intelligence and machine learning have been hot topics in 2020 as AI and ML technologies increasingly find their way into everything from advanced quantum computing systems and leading-edge medical diagnostic systems to consumer electronics and "smart" personal assistants. Revenue generated by AI hardware, software and services is expected to reach $156.5 billion worldwide this year, according to market researcher IDC, up 12.3 percent from 2019. But it can be easy to lose sight of the forest for the trees when it comes to trends in the development and use of AI and ML technologies. As we approach the end of a turbulent 2020, here's a big-picture look at five key AI and machine learning trends– not just in the types of applications they are finding their way into, but also in how they are being developed and the ways they are being used. Hyperautomation, an IT mega-trend identified by market research firm Gartner, is the idea that most anything within an organization that can be automated – such as legacy business processes – should be automated.
By Martin Quin Pollard5 Min ReadWENCHANG, China (Reuters) – China on Tuesday launched a robotic spacecraft to bring back rocks from the moon in the first bid by any country to retrieve samples from the lunar surface since the 1970s, a mission that underscores Chinese ambitions in space.The Long March-5 Y5 rocket, carrying the Chang'e-5 lunar probe, takes off from Wenchang Space Launch Center, in Wenchang, Hainan province, China November 24, 2020. REUTERS/Tingshu WangThe Long March-5, China's largest carrier rocket, blasted off at 4:30 a.m. Beijing time (2030 GMT on Monday) in a pre-dawn launch from Wenchang Space Launch Center on the southern Chinese island of Hainan carrying the Chang'e-5 spacecraft.The Chang'e-5 mission, named after the ancient Chinese goddess of the moon, will seek to collect lunar material to help scientists understand more about the moon's origins and formation. The mission will test China's ability to remotely acquire samples from space, ahead of more complex missions.State broadcaster CCTV, which ran live coverage of the launch, showed images of China National Space Administration staff in blue uniforms applauding and cheering as they watched the spacecraft climbing through the atmosphere, lighting up the night sky.If …
If you like the Android TV ecosystem, NVIDIA's Shield TV is a great streaming option if you also want something a bit more powerful than a standard Chromecast. It's an even more compelling pick now that it's down to $129 in an early Black Friday sale -- that's an all-time-low price that has come around before, but not very often. This streaming device earned a spot in our holiday gift guide this year for being one of the more powerful dongles you can get thanks to NVIDIA's Tegra X1 processor. The company claims this chip is 25 percent faster than the X1 that came before it, and in the Shield TV, it's put to good use by helping power an AI-powered HD to 4K upscaler. That means lower-res footage will more closely resemble 4K footage when streamed with the Shield TV.
SK Telecom (SKT) today unveiled its self-developed artificial intelligence (AI) chip named'SAPEON X220' and shared its AI semiconductor business vision. SAPEON X220 is optimally designed to process artificial intelligence tasks faster, using less power by efficiently processing large amounts of data in parallel. Its deep learning computation speed is 6.7 kilo-frames per second, which is 1.5 times faster than that of Graphics Processing Units (GPUs) for inference that are being widely used by AI-service companies. At the same time, it uses 20% less power than GPU by consuming 60 watts of energy and is about half the price of a GPU. SKT explained that SAPEON X220 will enable the provision of high-quality AI services by enhancing the performance of AI data centers through speedy computation of massive amounts of data.