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Taiwanese team develops AI system that can detect pancreatic cancer - Focus Taiwan

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Taipei, Oct. 28 (CNA) A team at National Taiwan University Hospital (NTUH) has developed an artificial intelligence (AI) system that can identify tumors in the pancreas with an accuracy of over 90 percent. At a press conference on Tuesday where the team introduced the technology, NTUH doctor Liao Wei-chih (廖偉智) said that pancreatic cancer was the seventh deadliest type of cancer in Taiwan in 2019, causing nearly 2,500 deaths that year. The disease is extremely hard to detect, however, as patients experience no symptoms during the early stages, and studies have found that 40 percent of pancreatic tumors that are smaller than 2 centimeters are missed when doctors use CT scans, Liao said. This is because these small tumors do not look like lumps, but appear to be a thin layer of gray film, Liao explained, which is a challenge for even the most experienced of experts to identify. As a result of these difficulties, patients are often only diagnosed when the cancer has spread to other parts of the body, thus complicating treatment, he said.


AI And SAP: Beneficial Combination? - e3zine – E-3 Magazine International

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For the longest time, artificial intelligence (AI) was nothing more than exciting material for science fiction novels and movies. In 1982, Harrison Ford was hunting down replicants in'Blade Runners'; in 2001, Steven Spielberg wove an intricate tale of a relationship between human and machine in'A. Technologies that emulate or surpass human skills and characteristics are fascinating – not only on the big screen. For decades, scientists have dedicated time and money to the topic of artificial intelligence. The workshop'Dartmouth Summer Research Project on Artificial Intelligence', held in 1956 at Dartmouth College in New Hampshire, USA, is seen as the starting point of AI as academic subject.


Fellowship Programmes

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This unique fellowship program is intended to give highly motivated Post-Docs with excellent track records the opportunity of conducting "research with impact" to shape the future of AI. We offer working in an interdisciplinary environment where different disciplines related to AI research are co-located and encourage collaboration with different faculty members and researchers. The positions are for two years with a flexible starting date. The salary is according to the standard salary scale for postdoctoral fellows at ETH Zurich. You hold a PhD (or should be less than 10 months before completion of the PhD thesis) in computer science, machine learning, statistics, physics, engineering, applied mathematics, or other relevant AI fields. Furthermore, you are fluent in English with good writing skills and you contribute to a good team spirit.


The State of Technology & Innovation in Real Estate

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The integration and adoption of technology into every industry is inevitable, even in industries that are traditionally relatively slower to adopt like real estate. Tech developments are enabling professionals in the space to be able to facilitate easier, faster, efficient, and more secure deals for all parties involved. Below are some of the emerging technology trends that are being integrated into real estate now, and in the coming years, many of which have been accelerated by the outbreak of COVID-19. The AR/VR spaces have seen tremendous growth, and it seems with the onset of COVID-19 the demand and urgency to roll out these capabilities has only increased. With the need for limited contact during the pandemic, restricted travel, and work from home trends, it is only natural that AR/VR trends will continue to surface in the real estate industry.


Could AI be the future of bike race coverage?

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Bike race coverage has changed a lot in recent years. Gone are the days of simply sitting down to watch a basic race feed. Nowadays, we have more information at our fingertips than ever before, helping to augment the viewing experience. We have second-screen apps that allow us to track the position of every rider throughout a race, and we have on-screen data showing riders' speed, heart rate and power output, all in real time. Now, a group of researchers in Belgium is trying to push the envelope even further.


Everything to Know About Machine Learning as a Service (MLaaS)

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Machine learning is set to change the manner in which we work together. Machine learning joins mathematics, statistics, and artificial intelligence into another discipline of study. Big data and faster computing power are opening up new capacities for this innovation that appeared to be outlandish just 10 years back. It is being utilized to drive vehicles, recognize faces, trade stocks, and invent lifesaving medicines. Data is the driver of artificial intelligence and machine learning.


8 Best Free Resources To Learn Deep Reinforcement Learning Using TensorFlow

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With the success of DeepMind's AlphaGo system defeating the world Go champion, reinforcement learning has achieved significant attention among researchers and developers. Deep reinforcement learning has become one of the most significant techniques in AI that is also being used by the researchers in order to attain artificial general intelligence. Below here is a list of 10 best free resources, in no particular order to learn deep reinforcement learning using TensorFlow. About: This tutorial "Introduction to RL and Deep Q Networks" is provided by the developers at TensorFlow. The topics include an introduction to deep reinforcement learning, the Cartpole Environment, introduction to DQN agent, Q-learning, Deep Q-Learning, DQN on Cartpole in TF-Agents and more.


Welcome

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AI can benefit society in many ways but, given the energy needed to support the computing behind AI, these benefits can come at a high environmental price. CodeCarbon is a lightweight software package that seamlessly integrates into your Python codebase. It estimates the amount of carbon dioxide (CO2) produced by the cloud or personal computing resources used to execute the code.


Microsoft Teams is getting CarPlay support for calls

Engadget

Microsoft has revealed a number of features it's bringing to Teams calls. It will soon offer CarPlay support, so you can place and answer Teams calls using Siri while you're on the road. Microsoft didn't say whether it would add a similar function for Android Auto or Alexa-enabled cars. Elsewhere, Microsoft has overhauled the call interface with a streamlined design (which it unveiled at its Ignite conference) that pulls together your contacts, voicemail and call history into a single view. Other features include an option to merge calls, enhanced reverse number lookup (i.e.


em Ready Player Two /em Is a Horror Story but Doesn't Know It

Slate

Slate has relationships with various online retailers. If you buy something through our links, Slate may earn an affiliate commission. We update links when possible, but note that deals can expire and all prices are subject to change. All prices were up to date at the time of publication. The simplest way to summarize the plot of Ready Player Two is to repeat the plot of its predecessor, Ready Player One, as they are largely the same.