Why conversational AI is an effective listening tool
Conversational AI, often referred to as natural language processing (NLP) or natural language understanding (NLU), helps computers listen to, understand and extract meaning from human language.
The risks of attacks that involve poisoning training data for machine learning models
A growing number of studies suggest that machine learning algorithms can leak a considerable amount of information included in the data used to train them through their model parameters and predictions. As a result, malicious users with general access to the algorithm can in many cases reconstruct and infer sensitive information included in the training dataset, ranging from simple demographic data to bank account numbers.
Automated analysis of animal behavior through AI
Researchers have developed a new method that uses artificial intelligence to analyze animal behavior. This opens the door to longer-term in-depth studies in the field of behavioral science—while also helping to improve animal welfare. The method is already being tested at Zurich Zoo.
Hour One’s custom digital avatars aim to transform the future of work
Hour One's platform enables businesses to easily turn any person into a virtual avatar utilizing any language and can then be activated using just text.
Validating Models for Next-Generation Fusion Power Plants
According to recent simulations and analysis, the flagship fusion facility of the United States Department of Energy's (DOE) Princeton Plasma Physics Laboratory (PPPL) might serve as the model for an economically appealing next-generation fusion pilot plant.
Mastercard's Digital Transactions deploys Microsoft AI to improve fraud protection
The two companies are combining their innovative technologies to better protect consumers from an increasingly prevalent form of digital fraud.
The high-tech fitness mirrors that aim to get you exercising more
The machines allow the user to see both his or her reflection and a video of an online instructor.
An easier way to teach robots new skills
Researchers have developed a technique that enables a robot to learn a new pick-and-place task with only a handful of human demonstrations. This could allow a human to reprogram a robot to grasp never-before-seen objects, presented in random poses, in about 15 minutes.
Using AI to detect cancer from patient data securely
A new way of using artificial intelligence to predict cancer from patient data without putting personal information at risk has been developed. Swarm learning can be used to help computers predict cancer in medical images of patient tissue samples, without releasing the data from hospitals.
How to use data analytics to improve quality of life
By analyzing and providing data analytics to workers about their biomechanical form, companies can reduce injuries and optimize workflow.
Get ready for your evil twin
AI-driven promotional avatars might be a legitimate use of virtual people. But what about the fraudulent uses?
How to protect AI from cyberattacks – start with the data
AI is a digital technology, which means it can be compromised particularly when confronted by an intelligent attack.
Conversational AI tools should unify calling, messaging, analytics and more
We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 - 28. Join AI and data leaders for insightful talks and exciting networking opportunities. Register today! LivePerson, which makes the bots we encounter every day act
AI Weekly: Digging into DALL-E 2 for the enterprise
We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 - 28. Join AI and data leaders for insightful talks and exciting networking opportunities. Register today! Welcome to the latest edition of AI Weekly As I finish my
Tech designed to aid visually impaired could benefit from human-AI collaboration
Remote sighted assistance (RSA) technology—which connects visually impaired individuals with human agents through a live video call on their smartphones—helps people with low or no vision navigate tasks that require sight. But what happens when exist
A graph convolution machine for context-aware recommender systems
The latest advance in recommendation technology shows that better user and item representations can be learned via performing graph convolutions on the user-item interaction graph. However, such a finding is mostly restricted to the collaborative filtering (CF) scenario, where the interaction contexts are not available.
Scientists design learning-enabled safe control for systems in uncertain environments
Humans live in a world where safety-critical systems are at work all around them. Scientists want to ensure that the proper safety constraints are in place so these systems can operate safely while also performing as needed. Toward this goal, researchers at Michigan State University have developed a method for designing a learning-enabled safe controller for systems that operate in uncertain environments.
Physics-based modeling to data-driven learning? The paradigm shift in optical metrology
Deep learning is currently prompting increasing research interests and leading to a paradigm shift from physics-based modeling to data-driven learning in the field of optical metrology. Scientists in China and Singapore published a review article entitled "Deep learning in optical metrology: a review" in Light: Science & Applications.