Tech.Very exciting and opportunistic times. The times may get better after next quarterly report. But this maybe it for these prices.Good morning all,
The drawings have now been included with the Accenture Global Solutions Patent Application.
Looks extremely promising, doesn't it....the writings on the wall, Peter, Anil, Tony and all our wonderful team/s globally are heading
to the summit, the buying price of our shares is really unbelievable, opportunities like this may never come by in our lifetime again.
Sorry to keep repeating myself, but I truly love what Brainchip represents...AKIDA FOR PRESIDENT
Espacenet – search results
Espacenet: free access to millions of patent documents. Find out if your invention is unique or if other inventors have filed patent applications that are considered to be prior art.worldwide.espacenet.com
Innoviz to develop new lidar platform for next-gen BMW automated vehicles
Innoviz is developing an enhanced solution including the InnovizTwo lidar, a new InnovizCore compute box, and AI-powered software solutions including an industry-first MRM system to enable Level 3 automated driving capabilities to a broader range of future vehicles.insideautonomousvehicles.com
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EVgo and General Motors Open 1,000th DC Fast Charging Stall as Part of Metropolitan Charging Collaboration
EVgo Inc. (NASDAQ: EVGO), one of the nation’s largest public fast charging networks for electric vehicles, and General Motors have surpassed 1,000 fast charging stalls as part of their longstanding collaboration to expand fast charging infrastructure. First announced in 2020 and expanded upon in...news.gm.com
electrek.co
has he gone to HC
Pressure cooker valve seems to be stuck ...
Just checked. He’s gone from LinkedIn. WTF.
| ON-FPGA SPIKING NEURAL NETWORKS FOR INTEGRATED NEAR-SENSOR ECG ANALYSIS Speaker: Matteo Antonio Scrugli, University of Cagliari, IT Authors: Matteo Antonio Scrugli, Paola Busia, Gianluca Leone and Paolo Meloni, Università degli studi di Cagliari, IT Abstract The identification of cardiac arrhythmias is a significant issue in modern healthcare and a major application for Artificial Intelligence (AI) systems based on artificial neural networks. This research introduces a real-time arrhythmia diagnosis system that uses a Spiking Neural Network (SNN) to classify heartbeats into five types of arrhythmias from a single-lead electrocardiogram (ECG) signal. The system is implemented on a custom SNN processor running on a low-power Lattice iCE40-UltraPlus FPGA. It was tested using the MIT-BIH dataset, and achieved accuracy results that are comparable to the most advanced SNN models, reaching 98.4% accuracy. The proposed modules take advantage of the energy efficiency of SNNs to reduce the average execution time to 4.32 ms and energy consumption to 50.98 uJ per classification. |
Sorry. In my shock and horror I only checked LinkedIn. Gone from LinkedIn altogether. Edited post. Sorry. Should check with TD.
He's still on Brainchips website page
no indicator anymore
