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) …
Machine vision is the ability for machines to see their environment and make decisions based on visual input, such as image data or video data in an industrial setting. It's carried out through a combination of specialized hardware and software that provide image-based sensing and processing in industrial settings. It can also be used to maintain a safe and secure industrial environment. Machine vision has been one of the key drivers of industrial automation in recent years. It helps automate factory and plant processes by collecting and intelligently responding to patterns in visual data.
In a preprint paper published this week by DeepMind, Google parent company Alphabet's U.K.-based research division, a team of scientists describe Agent57, which they say is the first system that outperforms humans on all 57 Atari games in the Arcade Learning Environment data set. Assuming the claim holds water, Agent57 could lay the groundwork for more capable AI decision-making models than have been previously released. This could be a boon for enterprises looking to boost productivity through workplace automation; imagine AI that automatically completes not only mundane, repetitive tasks like data entry, but which reasons about its environment. "With Agent57, we have succeeded in building a more generally intelligent agent that has above-human performance on all tasks in the Atari57 benchmark," wrote the study's coauthors. "Agent57 was able to scale with increasing amounts of computation: the longer it trained, the higher its score got."
One subject never fails to light up the eyes of senior bankers and regulators when they're questioned about their efforts to end the money laundering-related scandals that have spread across northern Europe over the last two years: technology. There can be no more damning indictment of the integrity of a bank, or its host nation, than the public revelation that a licensed institution is being used as a laundromat for ill-gotten gains. And what is more enlivening for money-laundering supervisors and bank-compliance officers than showing your firm and country is at the forefront of a technology that could make these troubles disappear? Some of the biggest actors in Europe's financial sector are converts. The UK's Financial Conduct Authority is particularly enthusiastic about using technology to fight money laundering.
With its FreeMove system in use in the aerospace, automotive, appliance, and construction equipment manufacturing industries, Veo Robotics is proving that high-speed, heavy-payload robots can be cobots too. Robotic arm market to grow to US$14.78bn by 2026 Can AI Detect Your Emotion Just By How You Walk?
Artificial intelligence (AI) is informing just about every facet of society, from detecting fraud and surveillance to helping countries battle the current COVID-19 pandemic. But AI is a thorny subject, fraught with complex terminology, contradictory information, and general confusion about what it is at its most fundamental level. This is why the Oxford Internet Institute (OII), the University of Oxford's research and teaching department specializing in the social science of the internet, has partnered with Google to launch a portal with a series of explainers outlining what AI actually is -- including the fundamentals, ethics, its impact on society, and how it's created. The Oxford Internet Institute is a multidisciplinary research and teaching department of the University of Oxford, dedicated to the social science of the Internet. At launch, the "A-Z of AI" covers 26 topics, including bias and how AI is used in climate science, ethics, machine learning, human-in-the-loop, and Generative adversarial networks (GANs).
Dynamics 365 for Sales and Microsoft AI are used to present the highest-priority sales leads to sellers. With this new solution, sellers can quickly act on the leads most likely to become customers. The solution creates a simple, intelligent system for discovering and contacting the best lead and makes our sellers more efficient and effective. During this webinar experts from Core Services Engineering Organization (CSEO) answered questions on how to use Microsoft AI with Dynamics 365 for Sales.
Sign in to report inappropriate content. History of Artificial Intelligence: The success of Neural Networks has sparked the AI revolution in the last 10 years. From Atari Games to Go, to Dota and to Starcraft. What many people don't know - the basic idea of Neural Networks has been around since the late 1950s. My name is Sebastian Schuchmann and I hope you enjoy watching!
Question: You lead the "Scientific Data Management" research group at TIB – Leibniz Information Centre for Science and Technology. You focus your research on how big data technologies can be used in the health sector to improve health care. What exactly are you researching? The amount of available big data has grown drastically in the last decade, and it is expected a faster growth rate in the coming years. Specifically, in the biomedical domain, there are a wide variety of methods, e.g.
The integration of Azure Machine Learning and Azure IoT Edge enables organizations and developers to apply AI and ML to data that can't make it to the cloud due to data sovereignty, privacy, and/or bandwidth issues. All models created using Azure Machine Learning can now be deployed to IoT gateways and devices with the Azure IoT Edge runtime. Models are operationalized as containers and can run on many types of hardware, from very small devices all the way to powerful servers. We're releasing this toolkit to help get you started with AI and Azure IoT Edge. The toolkit will show you how to package deep learning models in Azure IoT Edge-compatible Docker containers and expose those models as REST APIs.
OneConnect, a leading technology-as-a-service platform serving financial institutions in China, is pleased to announce that its artificial intelligence research institute, Gamma Lab, won the FinTech Team of the Year award for its strong technical prowess, wide range of deployment scenarios across the financial sector and high-speed growth at The Asset Triple A Digital Awards 2020 held by international authoritative media The Asset. The Gamma O platform was awarded the Best Digital Financial Project for its success since launch in providing one-stop solutions that empowered financial institutions and technology service providers in connecting with each other. The Asset was founded in 1999, with its Triple A awards gaining a high level of influence and authority in Asian and international financial markets. For two consecutive years, Gamma Lab won the FinTech Team of the Year award, demonstrating OneConnect's industry leading position in both AI technology R&D and deployment. OneConnect's information extraction technology led at the international AI competition SemEval 2020, representing another world first for Gamma Lab in new AI technologies beyond the successes that the institute had achieved in terms of performance in the areas of microexpression recognition, facial action unit recognition, machine reading comprehension, natural language generation, emotion recognition and deep learning model inference.