Tag: ML
The Technology Innovation Institute (TII) has announced the debut of NOOR, the world's largest Arabic natural language processing (NLP) model to date.
The NOOR model can perform activities outside of the domain of language, such as crawling, filtering, and curation...
Researchers at MIT, Carnegie Mellon University, and the University of California, San Diego developed a framework called DiffSkill, for a robotic manipulation system that employs a two-stage learning process. This allows a robot to do complicated dough manipulation tasks...
Enabling you to talk with nature.
All living beings, be they flora or fauna, have a unique way of communicating and expressing their emotions using various sounds and signals. We, humans, are blessed with the capability to observe, learn and...
The new AI Edge ACAP series delivers AI-enabled intelligence for automotive, robotics, healthcare and aerospace applications
The Versal AI Edge series by Xilinx enables AI innovation from the edge to the endpoint. With 4X the AI performance-per-watt versus GPUs and...
The application processors offer best in class performance, area and efficiency for a wide variety of AI & ML markets
Bringing maximum throughput while preserving efficiency of AI & ML workloads, here are two new SiFive Performance family processors, the...
The adoption of artificial intelligence (AI) and machine learning (ML) in different sectors has transformed the conventional approach for different applications. Although the terms AI and ML are used interchangeably, the former aims at the success of a task,...
Since last many decades, humans have been engaging in various activities that are directly or indirectly affecting the environment, releasing greenhouse gases, contributing to the rising temperatures, and more. However, the introduction of new technologies like artificial intelligence and...
With the availability of new technologies such as robotics, cloud computing, artificial intelligence (AI), and machine learning (ML), there has been tremendous growth in the education and skill development sector. These new technologies help in collecting data related to...
Arm Cortex-M4-based MCUs boost motor control performance while Google TensorFlow Lite Micro framework gives enhanced failure detection
Designed for motor control applications targeting smart homes, industrial automation and building automation, the new RA6T1 Group MCUs feature a rich set of...
An enhanced transistor design helps provide efficient analogue computation for robotic control, AI and unsupervised machine learning
A device with the ability to overcome long-standing challenges in electronics design, including next-generation wearables and eco-disposable sensors has been developed by researchers...
