The University of Tokyo has demonstrated a near-autonomous drone-based system to identify the perfect day to pick a crop. “Harvesting a field as little as a day before or after the optimal time could reduce the potential income of that field for the farmer by 3.7% to as much as 20.4%,” said Tokyo researcher Wei Guo. “But optimum harvest times ...
AI
The support or use of AI (artificial intelligence) in electronics, including ML (machine learning), whether in software (supervised, unsupervised or reinforcement learning tools) or hardware (accelerators, GPUs, etc).
Renesas hooks up Reality AI tools and e2studio
Renesas has created interfaces between its Reality AI Tools and its e2 studio integrated development environment, enabling designers to share data, projects and AI code modules between the two programs. Modules for real-time data handling have been integrated in Renesas MCU Software Development Kits Flexible Software Package (FSP) for RA, Firmware Integration Technology (FIT) for RX and Software Integration System ...
AI under the microscope and the surgeon’s knife
Compact embedded AI technologies are creating new possibilities for medical device manufacturers, says Peter Marek. The advent of big data, machine learning (ML) and artificial intelligence (AI) has enabled medical researchers to gain deep insights by analysing vast amounts of patient data. These insights can help doctors to take better decisions, diagnose more precisely and treat patients with fewer side ...
AI beats humans at drone racing
Drone racing has joined the list of activities where AI beats humans – in multiple races against three world-class humans in this case – following research at the University of Zurich and Intel. “Physical sports are more challenging for AI because they are less predictable than board or video games,” said Zurich head of robotics and perception Davide Scaramuzza. “We ...
Synopsys adds AI analytics to EDA suite
Synopsys has extended its Synopsys.ai full-stack EDA suite with an AI-driven data analytics continuum for every stage of IC development. The Synopsys EDA Data Analytics solution claims to be the first of its kind in the semiconductor industry to provide AI-driven insight and optimisation to drive improvements across exploration, design, manufacturing, and testing processes. The product combines the latest advances ...
AI for big data in deep space
Space missions’ functions are changing, says Ken O’Neill, of AMD, and it is clear that AI will play a role as datasets expand the final frontier. Space missions today must satisfy constantly increasing expectations for higher volume and quality data to inform activities such as climate studies, weather forecasting, geospatial mapping and disaster mitigation. There is also growing interest in ...
AI helps robots collaborate with a gently touch
Scientists at the University of Bristol are using AI to help two robot arms to share the handling of objects – something they call bi-manual manipulation. “With our system, we can train AI agents in a virtual world within a couple of hours to achieve bi-manual tasks that are tailored towards the touch,” said research engineer Yijiong Lin. “More importantly, ...
$53bn AI chip market forecast
ICs for AI workloads will be a $53.4 billion market this year, says Gartner, which is 20.9% up y-o-y “The developments in generative AI and the increasing use of a wide range of AI-based applications in data centers, edge infrastructure and endpoint devices require the deployment of high performance GPUs and optimised semiconductor devices. This is driving the production and ...
Google offers ‘Digital Garage’ sessions for AI training
Just to flag this one: Google is offering some free AI training for everyone in the UK. Maybe perfect timing if you want to investigate machine learning or artificial intelligence further.
IBM’s analogue AI chip achieves 400Gop/s/mm2
IBM has revealed an analogue in-memory IC for implementing neural networks. The device stores weights locally as analogue levels as conductance in phase-change memory, and implements analogue multiply-accumulate calculation. For analogue AI processing “two key challenges need to be overcome: These memory arrays need to compute with precision on par with existing digital systems, and they need to be able ...