Machine Learning

F-Tac is a robot hand that can sense touch with 100μm resolution across 70% of its grasping surface, and can grasp using that touch feedback. “The spatial resolution combined with the enormous coverage are truly novel and were not possible previously,” claimed team member Professor Kaspar Althoefer (pictured), director of the Centre of Excellence Advanced Robotics at Queen Mary University, ...

Alif Semiconductor has integrated Arm’s Ethos-U85 neural processing unit (NPU) into its second generation of its ‘Ensemble’ microcontrollers for AI and machine learning. It is “the world’s first implementation of the Ethos-U85 in an endpoint AI MCU”, according to Arm IoT general manager Paul Williamson. “With Alif’s high bandwidth memory and power management, [the new parts] support NPU operators required ...

A bill to regulate the use of algorithms and automated decision making by public authorities has been proposed by the House of Lords. Lord Clement-Jones is behind the fledgling bill. He is co-founded and shares the chair of the ‘All party parliamentary group on AI’, is the former chair of the Lords Select Committee on AI, and is the author ...

SiFive has announced RISC-V core intellectual property for data centre processors. Called P870-D, it is an update of the non-data centre P870, with support added for AMBA CHI protocol. “By harnessing a standard CHI bus,” said SiFive, “the P870-D enables SiFive’s customers to scale up to 256 cores while harnessing industry-standard protocols including CXL [Compute Express Link] and CHI C2C [chip ...

San Francisco-based Particle has announced an octa-core Raspberry-Pi shaped single-board computer built around a Qualcomm Snapdragon Kryo CPU with 12Top/s neural processing capability, and equipped with 5G and Wi-Fi 6E comms. Called Tachyon, and aimed at AI edge processing, it is designed to run Ubuntu across its four 1.9GHz Arm cores, three 2.4GHz cores and single 2.7GHz core. Particle describes ...

The AI Hardware & Edge AI Summit is dedicated to the entire AI and ML ecosystem. The four-day event (9-12 September) consists of keynotes, presentations and workshops based on training, deploying and scaling ML systems that are fast, affordable and efficient.  

Oak Ridge National Laboratory has curated an open-access on-line library of waveforms from the US power grid for power engineers wanting to apply AI techniques to grid monitoring and control. “Researchers can search different variables, like the type of sensor or a description of the event – for example, a waveform that represents a blown transformer and its effect on ...

Raspberry Pi 5 now has the option of an AI co-processor for neural networks, artificial intelligence and machine learning. The AI kit comprises the same M.2 HAT+ recently announced for holding NVMe memory drives, instead loaded with 13Top/s Hailo-8L AI processor. Connection, according to Raspberry Pi, is over its single-lane “PCIe 3.0 connection running at 8Gbit/s” – which is the ...

Northwestern University engineers have developed an artificial intelligence algorithm for smart robots that gather their own raw data. Dubbed ‘MaxDiff RL’ (maximum diffusion reinforcement learning), “the algorithm’s success lies in its ability to encourage robots to explore their environments as randomly as possible in order to gain a diverse set of experiences”, according to the university. “The algorithm works so ...

Japanese telco NTT has used machine learning to develop AI which predicts damage to outdoor communications infrastructure during disasters such as earthquakes or deluges. Resolution is as fine as individual telegraph poles. “This technology allows for accurate disaster prediction by building a model that learns disaster patterns from facility data that the NTT Group has inspected and repaired [after] past ...