An implant made from biodegradable materials chills nerves to 10°C, reducing pain signals sent to rats' brains, and can be absorbed into the body over time
Current AIs are very accurate but inflexible at image recognition. Exactly why this is remains a mystery. Researchers have developed a method called 'Raw Zero-Shot' to assess how neural networks handle elements unknown to them. The results have the potential to help researchers identify the common features that make neural networks 'non-robust,' and develop methods […]
In a step toward robots that can learn on the fly like humans do, a new approach expands training data sets for robots that work with soft objects like ropes and fabrics, or in cluttered environments.
FuseBot is a new robotic system that fuses visual information and radio-frequency signals to efficiently find hidden items buried under a pile of objects, whether or not the targeted item has an RFID tag.
Computer scientists develop a method that allows humans to help complex robots build efficient solutions to 'see' their environments and carry out tasks.
Engineers devised a recipe for improving any autonomous robotic system. Their optimization code can automatically identify how and where to tweak a system to improve a robot's performance.
A camera system can see sound vibrations with such precision and detail that it can reconstruct the music of a single instrument in a band or orchestra. Even the most high-powered and directed microphones can't eliminate nearby sounds, ambient noise and the effect of acoustics when they capture audio. The novel system uses two cameras […]
Microplastics are found nearly everywhere on Earth and can be harmful to animals if they're ingested. But it's hard to remove such tiny particles from the environment, especially once they settle into nooks and crannies at the bottom of waterways. Now, researchers have created a light-activated fish robot that 'swims' around quickly, picking up and […]
Researchers have developed a way to help autonomous vehicles create 'memories' of previous experiences and use them in future navigation, especially during adverse weather conditions when the car cannot safely rely on its sensors.
Inspired by fireflies, researchers created soft actuators that can emit light in different colors or patterns. These artificial muscles, which control the wings of featherweight flying robots, light up while the robot is in flight, which provides a low-cost way to track the robots and also could enable them to communicate.
A robot operating with a popular Internet-based artificial intelligence system consistently gravitates to men over women, white people over people of color, and jumps to conclusions about peoples' jobs after a glance at their face. The work is believed to be the first to show that robots loaded with an accepted and widely-used model operate […]
Engineers have developed a new design strategy and 3D printing technique to build robots in one single step. The breakthrough enabled the entire mechanical and electronic systems needed to operate a robot to be manufactured all at once by a new type of 3D printing process for engineered active materials with multiple functions (also known […]
With conventional methods, it is extremely time-consuming to calculate the spectral fingerprint of larger molecules. But this is a prerequisite for correctly interpreting experimentally obtained data. Now, a team has achieved very good results in significantly less time using self-learning graphical neural networks.
The rise of artificial intelligence (AI) and machine learning (ML) has created a crisis in computing and a significant need for more hardware that is both energy-efficient and scalable. A key step in both AI and ML is making decisions based on incomplete data, the best approach for which is to output a probability for […]
The skin of cephalopods, such as octopuses, squids and cuttlefish, is stretchy and smart, contributing to these creatures' ability to sense and respond to their surroundings. Scientists have harnessed these properties to create an artificial skin that mimics both the elasticity and the neurologic functions of cephalopod skin, with potential applications for neurorobotics, skin prosthetics, […]
Engineers built a new artificial intelligence chip, with a view toward sustainable, modular electronics. The chip can be reconfigured, with layers that can be swapped out or stacked on, such as to add new sensors or updated processors.
From action heroes to villainous assassins, biohybrid robots made of both living and artificial materials have been at the center of many sci-fi fantasies, inspiring today's robotic innovations. It's still a long way until human-like robots walk among us in our daily lives, but scientists are bringing us one step closer by crafting living human […]
A new technique can dramatically accelerate programs known as shell scripts, through a process called parallelization, while ensuring the programs return accurate results.
Development of metamemory in AI system allows it to adjust its understanding based on what it already knows, learning and evolving based on its environment as humans do.
In recent years Alzheimer's disease has been on the rise throughout the world and is rarely diagnosed at an early stage when it can still be effectively controlled. Using artificial intelligence, researchers conducted a study to identify whether human-computer interfaces could be adapted for people with memory impairments to recognize a visible object in front […]
Engineers have developed the smallest-ever remote-controlled walking robot -- and it comes in the form of a tiny, adorable peekytoe crab. Just a half-millimeter wide, the tiny crabs can bend, twist, crawl, walk, turn and even jump. Although the research is exploratory at this point, the researchers believe their technology might bring the field closer […]
We usually use TensorFlow to build a neural network. However, TensorFlow is not limited to this. Behind the scene, TensorFlow is a tensor library with automatic differentiation capability. Hence we can easily use it to solve a numerical optimization problem with gradient descent. In this post, we are going to show how TensorFlow’s automatic differentiation […]
Machine learning is a broad topic. Deep learning, in particular, is a way of using neural networks for machine learning. Neural network is probably a concept older than machine learning, dated back to 1950s. Unsurprisingly, there were many libraries created for it. In the following, we will give an overview of some of the famous […]
The Keras Python library for deep learning focuses on the creation of models as a sequence of layers. In this post you will discover the simple components that you can use to create neural networks and simple deep learning models using Keras from TensorFlow. Let’s get started. May 2016: First version Update Mar/2017: Updated example […]
Keras is a simple and powerful Python library for deep learning. Given that deep learning models can take hours, days and even weeks to train, it is important to know how to save and load them from disk. In this post, you will discover how you can save your Keras models to file and load them […]
Keras is a powerful and easy-to-use free open source Python library for developing and evaluating deep learning models. It is part of the TensorFlow library and allows you to define and train neural network models in just a few lines of code. In this tutorial, you will discover how to create your first deep learning neural […]
You’ve probably been told to standardize or normalize inputs to your model to improve performance. But what is normalization and how can we implement it easily in our deep learning models to improve performance? Normalizing our inputs aims to create a set of features that are on the same scale as each other, which we’ll […]
TensorFlow is a Python library for fast numerical computing created and released by Google. It is a foundation library that can be used to create Deep Learning models directly or by using wrapper libraries that simplify the process built on top of TensorFlow. In this post you will discover the TensorFlow library for Deep Learning. […]
Python for Machine Learning Crash Course. Learn core Python in 7 days. Python is an amazing programming language. Not only it is widely used in machine learning projects, you can also find its presence in system tools, web projects, and many others. Having good Python skills can make you work more efficiently because it is […]
Python is an interpreting language. It means there is an interpreter to run our program, rather than compiling the code and running natively. In Python, a REPL (read-eval-print loop) can run commands line by line. Together with some inspection tools provided by Python, it helps to develop codes. In the following, you will see how […]
Python is a dynamic scripting language. Not only does it have a dynamic type system where a variable can be assigned to one type first and changed later, but its object model is also dynamic. This allows us to modify its behavior at run time. A consequence of this is the possibility of monkey patching. […]
By John P. Desmond, AI Trends Editor The AI stack defined by Carnegie Mellon University is fundamental to the approach being taken by the US Army for its AI development platform efforts, according to Isaac Faber, Chief Data Scientist at the US Army AI Integration Center, speaking at the AI World Government event held in-person and virtually […]
By John P. Desmond, AI Trends Editor Advancing trustworthy AI and machine learning to mitigate agency risk is a priority for the US Department of Energy (DOE), and identifying best practices for implementing AI at scale is a priority for the US General Services Administration (GSA). That’s what attendees learned in two sessions at the AI […]
By AI Trends Staff While AI in hiring is now widely used for writing job descriptions, screening candidates, and automating interviews, it poses a risk of wide discrimination if not implemented carefully. That was the message from Keith Sonderling, Commissioner with the US Equal Opportunity Commision, speaking at the AI World Government event held live and virtually in […]
By John P. Desmond, AI Trends Editor More companies are successfully exploiting predictive maintenance systems that combine AI and IoT sensors to collect data that anticipates breakdowns and recommends preventive action before break or machines fail, in a demonstration of an AI use case with proven value. This growth is reflected in optimistic market forecasts. […]
By Lance Eliot, the AI Trends Insider We already expect that humans to exhibit flashes of brilliance. It might not happen all the time, but the act itself is welcomed and not altogether disturbing when it occurs. What about when Artificial Intelligence (AI) seems to display an act of novelty? Any such instance is bound to get our attention; […]
By John P. Desmond, AI Trends Editor Engineers tend to see things in unambiguous terms, which some may call Black and White terms, such as a choice between right or wrong and good and bad. The consideration of ethics in AI is highly nuanced, with vast gray areas, making it challenging for AI software engineers to […]
By John P. Desmond, AI Trends Editor AI is more accessible to young people in the workforce who grew up as ‘digital natives’ with Alexa and self-driving cars as part of the landscape, giving them expectations grounded in their experience of what is possible. That idea set the foundation for a panel discussion at AI World […]
By John P. Desmond, AI Trends Editor Two experiences of how AI developers within the federal government are pursuing AI accountability practices were outlined at the AI World Government event held virtually and in-person this week in Alexandria, Va. Taka Ariga, chief data scientist and director at the US Government Accountability Office, described an AI accountability framework he uses within his agency […]
By AI Trends Staff Advances in the AI behind speech recognition are driving growth in the market, attracting venture capital and funding startups, posing challenges to established players. The growing acceptance and use of speech recognition devices are driving the market, which according to an estimate by Meticulous Research is expected to reach $26.8 billion […]
By Lance Eliot, the AI Trends Insider Are there things that we must not know? This is an age-old question. Some assert that there is the potential for knowledge that ought to not be known. In other words, there are ideas, concepts, or mental formulations that should we become aware of that knowledge it could be […]
Scientists show how microbes living in a salty spring near the North Pole might resemble those that could have survived on the Red Planet—or in ocean worlds.
A battle royale called the Smart program has charged teams with a daunting first task: Identify construction sites on Earth using only data from orbiters.
The national right to abortion pushed back the age of childbearing, increased college and workforce participation, and created economically stable families.
The tiny spacecraft is set to explore an orbit for a planned space station that will travel around the moon and serve as a staging point for future missions.
Two new studies use whole genome sequencing to explore how the animals have fared in warmer conditions, raising questions about climate and adaptation.
Spraying aerosols and sucking carbon out of the air would bring down temperatures, yes. But the unintended consequences of geoengineering could be enormous.
He tried to save his wife through the video game they loved—and nearly lost himself. Then he signed up to lead a fledgling team of gamers in Cheyenne, Wyoming.
In Outerloop's new game, the South Asian hero battles exes and cooks with her parents. It's a big step toward creating more games for non-white audiences.
Tesla’s Autopilot and other automotive safety features are involved in plenty of car crashes. But thanks to spotty data, it’s still not clear how many, or what to do about it.
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