The Simple Math behind 3 Decision Tree Splitting criterions

#artificialintelligence

Decision Trees are great and are useful for a variety of tasks. They form the backbone of most of the best performing models in the industry like XGboost and Lightgbm. But how do they work exactly? In fact, this is one of the most asked questions in ML/DS interviews. We generally know they work in a stepwise manner and have a tree structure where we split a node using some feature on some criterion.


Global Artificial Intelligence in IoT (AIoT) Convergence Markets 2019-2024: AI in IoT is Evolving to Allow IoT Networks and Systems to become Increasingly More Cognitive, Thinking Networks

#artificialintelligence

The "Artificial Intelligence in IoT (AIoT) Convergence: Technologies, Platforms, Applications and AIoT Services in Industry Verticals 2019 - 2024" report has been added to ResearchAndMarkets.com's offering. This research provides a multi-dimensional view into the AI market including analysis of embedded devices and components, embedded software, and AI platforms. This research also assesses the combined Artificial Intelligence (AI) marketplace including embedded IoT and non-IoT devices, embedded components (including AI chipsets), embedded software and AI platforms, and related services. This research evaluates leading solution providers including hardware, software, integrated platforms, and services. It includes quantitative analysis with forecasts covering AI technology and systems by type, use case, application, and industry vertical.


Oil and Gas Industry Trends of 2020 Oil and Gas

#artificialintelligence

Businesses in the oil and gas arena have been able to use a wide variety of technological products and solutions. Along with oil and gas software, the field has started using drones, electronic monitoring, internet of things (IoT), data analysis tools, and artificial intelligence. All of these origins of technology have become a discovery in the oil and gas industry in recent years. With the combination of this technology, many oil and gas companies have been able to reach their composition goals and improve their overall facilities management services. Technology, alongside oil and gas software solutions, has been able to help companies increase their safety measures.


Dr. Ben Goertzel--Striving towards an Autonomous Decentralized and Compassionate Artificial Super Intelligence

#artificialintelligence

Beyond AGI is where things get really exciting and may perhaps present a slightly existential challenge for humanity--artificial superintelligence (ASI). Goertzel said, "Artificial superintelligence is the next step beyond general intelligence. Humans currently have more general intelligence than the software products that are commercially available right now. But humans are by no means the most generally intelligent possible system. I think as AI advances further and further, you're going to see AI as tremendously smarter than people much as we're much smarter than monkeys, rats or bugs. But I mean, to get from where we are now with narrow AI, to AGI, and then to artificial superintelligence, we need to go through quite a series of practical steps."


Software robots' workforce contributions will increase 50% in the next 2 years

#artificialintelligence

No, the robots are not coming for your job as they ready to take over the world ... yet. But the future of the world's workforce will mark a significant shift and work will be heavily reliant on the teamwork of human and machine, noted the just-released IDC white paper, Content Intelligence for the Future of Work. And we're not quite in sci-fi film territory either, said Holly Muscolino, research vice president of content and process strategies and the future of work at IDC. "A software robot (or'digital worker') is essentially a software program that automates a task that has previously been accomplished by a human worker," Muscolino explained. "The term'robot' is used to signify the role that these software solutions play in automation, however, beyond that, there is no relationship between a software robot and the physical robots that we may see on the manufacturing line, patrolling supermarket aisles on starring in'Star Wars'' movies." Muscolino added, "A variety of software technologies are classified as'digital workers.' The technology gaining the most airtime today is robotic process automation (RPA), but other automation technologies, and AI-enabled technologies, like digital assistants and chatbots, are also classified as'digital workers'."


How artificial intelligence can transform psychiatry

#artificialintelligence

Thanks to advances in artificial intelligence, computers can now assist doctors in diagnosing disease and help monitor patient vital signs from hundreds of miles away. Now, CU Boulder researchers are working to apply machine learning to psychiatry, with a speech-based mobile app that can categorize a patient's mental health status as well as or better than a human can. "We are not in any way trying to replace clinicians," says Peter Foltz, a research professor at the Institute of Cognitive Science and co-author of a new paper in Schizophrenia Bulletin that lays out the promise and potential pitfalls of AI in psychiatry. "But we do believe we can create tools that will allow them to better monitor their patients." Nearly one in five U.S. adults lives with a mental illness, many in remote areas where access to psychiatrists or psychologists is scarce.


11 Cybersecurity Predictions for 2020 - Security Boulevard

#artificialintelligence

It's been another eventful year for cyber attacks. More than 4 billion records have been breached so far – and we're not even to the end of the year yet! But 2019 will soon be behind us. It's now time to look toward 2020 and speculate on what will transpire next in the ongoing cybersecurity battle. What new and evolving technologies will be at the forefront of cybersecurity?


Designing AI that better understands humans' goals

#artificialintelligence

When researchers design machine learning systems, their goal is typically to automate certain functions. Instead of being fully autonomous, however, most of these systems work together with humans. In order to be truly helpful, they need to understand what goals people have. Researchers at the Finnish Center for Artificial Intelligence (FCAI) have now taken important steps towards designing AI that understands people. At first, the researchers taught the AI to build a model of its user--human or machine.


Designing AI that better understands humans' goals

#artificialintelligence

When researchers design machine learning systems, their goal is typically to automate certain functions. Instead of being fully autonomous, however, most of these systems work together with humans. In order to be truly helpful, they need to understand what goals people have. Researchers at the Finnish Center for Artificial Intelligence (FCAI) have now taken important steps towards designing AI that understands people. At first, the researchers taught the AI to build a model of its user--human or machine.


Impact of AI and its Implementation in Mobile App Development

#artificialintelligence

In the epoch of cutting edge technologies, several devices and technological tools are available in the market. Smartphones namely, Google's Android and Apple's iPhone are the most widely used smartphones and are profoundly popular nowadays. With a combined mobile app development market share close to 99%, both Google and Apple work to bring more innovations and new features into their smartphones as billions of people all over the globe are utilizing them daily. In the limelight comes the significance and role of Artificial Intelligence in mobile application development, which gives more fuel to Google & Apple to bring advanced changes to their respective platforms. AI is beneficial for developers and even for the general users.