Featured
How BrainChip's Akida™ Edge Box Simplifies ML Deployment
Be the first to know.
Get our A.I. weekly email digest.
A.I.
report
The Guide to Understanding the Technologies Defining the Next Phase of Edge AI
Featured
New tool AI Psychiatry recovers compromised deep-learning models so researchers can understand what went wrong.
Featured
Smarter use of processor speeds saves energy without compromising training speed and performance.
Engineers Wiki. Most Asked Questions.
Comprehensive Guide
Artificial intelligence (AI) is a wide-ranging tool that enables people to rethink how we integrate information, analyze data, and use the resulting insights to improve decision making
TPU vs GPU: A Comprehensive Technical Comparison
By Umar Waseem.
14 minutes read.
TPU vs GPU: Comprehensive Technical Comparison
By Umar Waseem.
14 minutes read.
ORGANIZATIONS. SHAPING THE INDUSTRY.
The Next Byte
Entertainment
The Next Byte Podcast is hosted by two young engineers - Daniel and Farbod - who select the most interesting tech/engineering cont...
165 Posts
High Tech Campus Eindhoven
High Tech
High Tech Campus Eindhoven is Europe's smartest square km and has the ultim...
49 Posts
ETH Zurich
University for science and technology
Freedom and individual responsibility, entrepreneurial spirit and open-min...
43 Posts
TAGGED WITH machine learning
Nakahira received a Young Investigator Award from the Japan Science and Technology Agency for developing a machine that builds autonomous systems.
Princeton researchers have developed a new tool to speed the discovery of advanced materials known as metal organic frameworks, or MOFs.
EPFL roboticists have shown that when a modular robot shares power, sensing, and communication resources among its individual units, it is significantly more resistant to failure than traditional robotic systems, where the breakdown of one element often means a loss of functionality.
MIT researchers' DiffSyn model offers recipes for synthesizing new materials, enabling faster experimentation and a shorter journey from hypothesis to use.
TAGGED WITH computer vision
The AI-powered tool could inform the design of better sensors and cameras for robots or autonomous vehicles.
Matroid builds no-code computer-vision detectors that can spot everything from microscopic material defects to real-time safety hazards on a factory floor.
In large-scale warehousing and distribution operations, conveyor belts are an essential infrastructure that must operate with near-zero downtime to ensure the timely delivery of products. The presence of loose or foreign items on a conveyor belt can pose a serious risk to these operations.
In this post, we'll walk through how to evaluate that progress using the same metrics our platform provides automatically, so you can build detectors that get smarter, sharper, and more reliable over time.
Latest Posts
How BrainChip's Akida™ Edge Box Simplifies ML Deployment
New tool AI Psychiatry recovers compromised deep-learning models so researchers can understand what went wrong.
2 minutes read
Smarter use of processor speeds saves energy without compromising training speed and performance.
3 minutes read
Researchers created a deep learning-driven controller that helps users in real-world tasks, even those it wasn’t trained for.
5 minutes read
Explore how advanced solutions in manufacturing intelligence are transforming aerospace manufacturing by addressing key challenges in design, production, and quality control while promoting sustainability.
In this episode, we explore how AI co-pilots are equipping doctors with powerful tools to enhance decision-making and patient care and discuss how it could impact you - a potential patient - in the not distant future.
17 minutes read
Edge AI Technology Report: Generative AI Edition Chapter 2. Generative AI and edge computing are transforming industries by enabling low-latency, real-time AI on edge devices, allowing efficient, private, and personalized applications without reliance on data centers.
Edge AI Technology Report: Generative AI Edition Chapter 1. Generative AI's demand for real-time insights is driving a shift from cloud to edge computing, enabling faster, local processing on devices and reducing cloud latency and bandwidth constraints.
Discover how computer vision is solving quality challenges in metal manufacturing through enhanced defect detection, proactive process monitoring, and flexible integration solutions.
Large Language Model (LLM) training involves teaching AI models to understand and generate human-like text by processing vast amounts of data, significantly enhancing their language comprehension and production capabilities.
In this episode, we explore how AI can help aerial vehicles adjust to extreme turbulence in real-time and enhance safety/stability, even in challenging driving conditions.
16 minutes read
Inspired by large language models, researchers develop a training technique that pools diverse data to teach robots new skills.
In the future, buildings will provide enhanced, more personalized comfort to occupants while also achieving zero carbon emissions. This will be possible thanks to advances in sensors and AI, enabling new ways of interacting with our environments while leaving ultimate control in occupants’ hands.
6 minutes read
Discover how Shadow Robot’s DEX-EE gripper is advancing robotic dexterity with AI-driven precision.
An authority on autonomous robotic systems talks about the impact of AI on his field here on Earth and growing aspirations for autonomy in space.
18 minutes read
