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Can dogs sense ghosts?

Popular Science

With senses far sharper than ours, dogs detect what we can't--perhaps more than we realize. Dogs have an extraordinary sense of smell and hearing. Is it enough to perceive things from the great beyond? Breakthroughs, discoveries, and DIY tips sent every weekday. M arc Eaton, a professor of sociology at Ripon College remembers talking to a paranormal investigator who had recently lost his father.


What makes a place seem 'haunted'?

Popular Science

What makes a place seem'haunted'? Psychology, setting, and the power of suggestion all help make certain places feel more spooky. From the ghost of Al Capone to the crying Lady in Green, many otherworldly entities are said to populate Alcatraz Island. Breakthroughs, discoveries, and DIY tips sent every weekday. With its long history of incarceration, brutal conditions, and several grisly murders, the stories of hauntings on Alcatraz Island are a dime a dozen.


University of Calgary AI project asks students, teachers about the use of ChatGPT - Calgary

#artificialintelligence

The AI can write essays and poems and answer questions about many topics. "If I thought about using ChatGPT for creating an essay, the answer could be ok – I might use it, but I will also be using these other resources because my interest as a student is to create something that can be for the benefit of others," said Moya who is a research assistant with a new University of Calgary research project investigating the ethical use of AI in post-secondary learning and teaching. "I want to be creative and create opportunities for others." Known as ChatGPT and created by a company called OpenAI, the software is designed to generate human-like responses to a wide range of inputs by using algorithms. "It was interesting to see that this tool could provide some particular insights that could become the starting point of something," Moya said.


Teaching and Learning with Artificial Intelligence Apps

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Artificial intelligence apps, such as ChatGPT, can be part of our educational toolbox just as dictionaries, calculators, and web searches are. If we think of artificial intelligence apps as another tool that students can use to ethically demonstrate their knowledge and learning, then we can emphasize learning as a process not a product. Have open and honest conversations with your students about your expectations regarding artificial intelligence apps and their use in your courses. Start with a discussion on artificial intelligence literary and what that means in your course. Think about your current assessments through the lens of artificial intelligence.


Artificial intelligence program ignites debate over the nature of art

#artificialintelligence

A piece of digital art that won a prize at the Colorado State Fair has reignited an old furor over what art is and how artists create in an authentic way. Jason Allen used an artificial intelligence program to generate an image titled, "Théâtre D'opéra Spatial," that evokes an opera scene in a science fiction setting. Several Bloomington-Normal artists do not seem to view the debate in an especially sanguinary way. The AI program artist in game designer Allen used doesn't involve any hands-on technique at all. The AI operates by turning words and text into image.


AI Can Make a Difference on the Factory Floor If Biopharma Invests

#artificialintelligence

Artificial intelligence has been making a difference in the discovery lab for a decade. Recently, consulting group BCG suggested that AI played a pivotal role in the identification of more than 150 current drug candidates, 15 of which are in trials. And, according to a separate analysis by Deloitte, AI approaches have also been used in areas like clinical trials, supply chain management, and commercial launch. Instances of AI use in drug production are few and far between. And this is a missed opportunity, according to Kiefer Eaton, from industrial artificial intelligence developer Basetwo AI, particularly because drug makers already have many of the elements they need to benefit from AI. "AI has been widely adopted for drug development and has recently seen a lot of growth for commercial pharmaceutical activities. However, biomanufacturing remains underserved despite the plethora of data to leverage," he says.


Verse.io Announces Dennis Eaton as New Vice President of Contact Center Operations

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Verse.io, a leading conversational texting platform leveraging powerful AI and highly skilled human concierges, has officially announced the appointment of Dennis Eaton as the company's new Vice President of Contact Center Operations. Having already led large-scale operations and care organizations of 2,500 employees, Eaton brings two decades worth of experience in workforce management, training, quality, project management, contact centers, and vendor management to the Verse team. Prior to joining Verse, Eaton has held leadership positions in a variety of industries. Over his 20-plus-year career, Eaton has worked for retailers such as Nike, technology giants such as Oracle, financial services like ADP, and entertainment companies such as Walt Disney. Eaton has achieved great success in his ability to connect with his teams and drive a positive culture, all while improving efficiency and performance.


Intel's 3D and AI tech now helps train athletes

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Intel today revealed that its 3D Athlete Tracking (3DAT) technology is being employed by Exos, a firm that focuses on human performance conditioning, to help train professional athletes aspiring to join the National Football League (NFL) and other organizations. Intel's 3DAT technology captures skeletal data when an athlete is sprinting, using a video camera running at 60 frames per second. That data is then analyzed using Intel Deep Learning Boost AI capabilities that have been built into the latest generation of Intel Xeon Scalable processors Intel has deployed in a cloud it manages. The goal is to make it simpler for coaches and athletes to understand how different types of skeletal structures may give one athlete an edge over another, said Ashton Eaton, two-time Olympic gold medalist in the decathlon and a product development engineer in Intel's Olympic Technology Group. "We don't know why people won or lost," Eaton said. "There are a lot of unknowns."


Eaton Wi-Fi smart universal dimmer review: Great on paper, less thrilling in person

PCWorld

Eaton's new Wi-Fi smart dimmer comes without one common component that is virtually ubiquitous across today's smart home landscape: A mobile app. Aiming for a "frustration-free setup," Eaton decided to rely on the Amazon Alexa app exclusively for setup and control. In smart home reality, of course, there's no such thing as "frustration free," and while not needing to download, register, and configure yet another smart home app on my phone (I have more than 100 of them currently installed) was freeing, performance problems and a lack of flexibility ultimately hampered my enthusiasm for this device. Let's start with the hardware. The in-wall dimmer requires a neutral wire in the electrical box where it's being installed, and it works with both single-pole and three-way installations (using either Eaton's WACD accessory dimmer or a regular three-way switch).


Using Task Descriptions in Lifelong Machine Learning for Improved Performance and Zero-Shot Transfer

Rostami, Mohammad (University of Pennsylvania) | Isele, David | Eaton, Eric

Journal of Artificial Intelligence Research

Knowledge transfer between tasks can improve the performance of learned models, but requires an accurate estimate of inter-task relationships to identify the relevant knowledge to transfer. These inter-task relationships are typically estimated based on training data for each task, which is inefficient in lifelong learning settings where the goal is to learn each consecutive task rapidly from as little data as possible. To reduce this burden, we develop a lifelong learning method based on coupled dictionary learning that utilizes high-level task descriptions to model inter-task relationships. We show that using task descriptors improves the performance of the learned task policies, providing both theoretical justification for the benefit and empirical demonstration of the improvement across a variety of learning problems. Given only the descriptor for a new task, the lifelong learner is also able to accurately predict a model for the new task through zero-shot learning using the coupled dictionary, eliminating the need to gather training data before addressing the task.