BRN Discussion Ongoing

[Sirod69]

And one more release!
We're getting better and better! Just wonderful!

Edge Impulse and BrainChip Partner to Further AI Development with Support for the Akida platform​

January 4, 2023
https://www.facebook.com/sharer.php...-brainchip-partner-to-further-ai-development/
“This integration will provide users with a powerful and easy-to-use solution for building and deploying machine learning models on the edge,” said Zach Shelby, co-founder and CEO of Edge Impulse. “We look forward to seeing what our users will create with BrainChip’s AI offering.”

“BrainChip’s goal is to push the limits of on-chip AI compute to extremely energy-constrained sensor devices, the kind of performance that is only available in much higher power systems.” said Sean Hehir, BrainChip’s CEO. “Having our Akida IP supported and implemented into the Edge Impulse platform helps ensure that developers are able to deploy ML solutions quickly and easily to create a much more capable, innovative, and truly intelligent edge.”

Edge Impulse and BrainChip Partner to Further AI Development with Support for the Akida platform

Edge Impulse announced official support for BrainChip's neural processor AI IP, making BrainChip the first strategic IP partner

itdigest.com

 

[Rise from the ashes]

 

[Sirod69]

BrainChip
2 Min. • vor 2 Minuten

Want to meet with the BrainChip team at CES? The exhibits open tomorrow, January 5th, at 10:00 am Pacific. Come check out Akida in action! Register here: https://lnkd.in/gKAS9H-j #CES2023

Meet with BrainChip Inc. @ CES 2023 - BrainChip Inc​

Calendly

calendly.com

 

[Rise from the ashes]

 

[Sirod69]

Automotive Custom SoC Solutions from Socionext​

Socionext’s advanced custom solutions are designed to help OEMs and tier-one automakers achieve complete ownership of key differentiating technologies with an added competitive edge. Socionext's custom SoCs enable a wide range of applications, including ADAS sensors, central compute, networking, in-cabin monitoring, satellite connectivity, and infotainment.

 

[Tothemoon24]

Nice bump , up 400 % on average volume

 

[Rise from the ashes]

Automotive Custom SoC Solutions from Socionext​

Socionext’s advanced custom solutions are designed to help OEMs and tier-one automakers achieve complete ownership of key differentiating technologies with an added competitive edge. Socionext's custom SoCs enable a wide range of applications, including ADAS sensors, central compute, networking, in-cabin monitoring, satellite connectivity, and infotainment.

I'm now at the stage were I'm thinking everything like this is akida..
Time to bake a shitload of bread.

 

[Sirod69]

I'm now at the stage were I'm thinking everything like this is akida..
Time to bake a shitload of bread.

Yeah, that's going to be a really big bread

 

[Whispering Bob]

Automotive Custom SoC Solutions from Socionext​

Socionext’s advanced custom solutions are designed to help OEMs and tier-one automakers achieve complete ownership of key differentiating technologies with an added competitive edge. Socionext's custom SoCs enable a wide range of applications, including ADAS sensors, central compute, networking, in-cabin monitoring, satellite connectivity, and infotainment.

“Leading edge processing technology”

 

[FlipDollar]

Can someone please ask each of these pompous WANCA's if they now know what a neuromorphic chip is and forward their response to the lovely interviewer who was also having a laugh at our expense

Similar scenarios were played out in the 80s and 90s when people in similar positions laughed about investing in anything associated with the internet…

 

[alwaysgreen]

LGs conference is in a couple of hours. Might be worth tuning in.

We’ve already got some details on LG’s 2023 OLED TVs, but that was just the beginning of LG’s TV announcements ahead of CES 2023. LG’s press conference starts today at 11AM ET, and we’re bound to see more TVs, home entertainment products, and the usual assortment of home appliances. You can tune into LG’s live stream at 11AM ET / 8AM PT in the YouTube stream below.

 

[alwaysgreen]

Here are the times for all of today's major conferences:

LG: 11AM ET / 8AM PT

Samsung: 5PM ET / 2PM PT

Sony: 8PM ET / 5PM PT

AMD: 9:30PM ET / 6:30PM PT

BMW: 11PM ET / 8PM PT

 

[thelittleshort]

 

[FabricatedLunacy]

Here's are the times for all of today's major conferences:

LG: 11AM ET / 8AM PT

Samsung: 5PM ET / 2PM PT

Sony: 8PM ET / 5PM PT

AMD: 9:30PM ET / 6:30PM PT

BMW: 11PM ET / 8PM PT

Just imagine if all of these where pulling a Mercedes Benz today .

There’d be TCE people streaking all over AUS and nobody would know why, apart from this community here.

Whatever happens at CES, 2023 will be a great year!

 

[thelittleshort]

 

[Bennysmadness]

Another ️ !! John Deere

 

[Makeme 2020]

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BLOG POST

2022 Rewind — a Big Year for Edge Impulse​

MACHINE LEARNING
Edge Impulse Team
4 January 2023

Happy new year! 2022 was an incredible year for Edge Impulse. From launching new features and partnerships, to receiving industry recognition, to hosting our second annual Imagine event to great fanfare, we've had so much to celebrate, and so we've rounded up some of our most notable achievements from the past 12 months to share and enjoy.
We're grateful to all of our users, customers, and supporters who have helped make these accomplishments possible. Thank you for being a part of our journey.
Here's to an even bigger and better 2023!
Stats, Growth, Accomplishments

• 60K registered developers
• 140K ML projects
• 4K public projects
• 115M data samples
• Edge AI + Vision Product of the Year Award for Best Developer Tool

• Edge Impulse named Cool Vendor by Gartner
• Edge Impulse is named the leader in the "40 Technology Companies to Watch in 2023” by ABI Research
• VISION Award 2022 finalist
• University Program: More than 350 R&D units from over 79 countries enrolled. Over 3,000 Tiny Machine Learning Kits distributed

Partners

• New hardware targets released:
  • Alif E7
  • Alif and Bosch Sensortec
  • Arduino Nicla Sense ME
  • Arduino Nicla Vision
  • Espressif ESP32
  • Infineon PSOC 62
  • Nordic Thingy:53
  • OpenMV firmware build
  • Silicon Labs xG24
  • Synaptics Katana
  • Seeed Grove Vision AI
  • Raspberry Pi RP2040
  • Renesas RA6M
  • Renesas RZ V2/L
  • Texas Instruments TDA4VM
  • BrainChip Akida
• NoWatch — new wearable; uses a novel combination of sensors to measure cortisol, which then can be used to measure stress levels in human beings.
• Know Labs

Events

• Imagine 2022: Three days, 200 attendees, 11 presentations, 8 lightning talks, 7 tech talks, 6 workshops, demos, and more
• All the announcements made at Imagine
• Watch it all again!
  Day 1 — Keynotes
  Day 2 — Workshops and Tech Talks
  Day 3 — Developer Discussions
• Edge ML Series: Over 300 attendees across six cities in Europe
• Embedded World
• Embedded Vision and AI Summit

2022 Announcements

• Simon Segars joins the Edge Impulse board
• FOMO (Faster Objects, More Objects)
• Edge Impulse’s first paper
• Edge Impulse Announces Bosch Sensortec Support for Edge ML Sensing Applications
• Reference Designs
  • Health Reference Design
  • Machine Reference Design
• Conservation X Labs’ Sentinel AI Camera

• Lexmark Optra Edge
• Arduino launches its Edge Impulse-powered ML hub: mltools.arduino.cc

New Features

• Bring Your Own Model Into Edge Impulse with ONNX
• Announcing Performance Calibration
• EON Tuner Search Space and Custom Block Support
• Announcing Project Collaboration for Free Users
• Getting Started Wizard: Train Your First Keyword Spotting Model in Under 5 Minutes
• Sensor Fusion with Machine Learning on Edge Impulse
• AI-Assisted Labeling for Object Detection
• Advanced Anomaly Detection with Feature Importance

Popular Projects

• AI-Powered Smart Toaster
• Automated Yard Processes Using tinyML
• Smart Smoke Alarm Thermal Imaging
• Wearable Cough Sensor and Monitoring
• Appliances Identifier Smart Energy Meter
• Thermal Image Anomaly Detection with tinyML
• Detecting Worker Accidents with Audio Classification
• Automated Inventory Management with FOMO
• Mosquitoes Classification Using Wingbeat Sound
• Location Identification by Sound
• Smart Bike Suspension System
• Elevator Passenger Counting Using Computer Vision
• Learn to Putt Like the Pros with Golf Ace
• Forest Fire Detection
• Smart Cashier with FOMO
• Pet Activity Tracking
• Car Parking Occupancy Detection
• Fall Detection System for Senior Citizens
• Elevator Anomaly Detection
• Shield Bot Autonomous Security Robot
• Indoor CO2 Level Estimation Using ML
• GetFit Workout Tracker
• Surface Crack Detection and Localization
• ESD Protection Using Computer Vision
• Bicycle Blind Spot Detection
• Oil Tank Measurement and Delivery Improvement
• Adaptable Vision Counters for Smart Industries
• Manufactured PCBs Defects Detection
• Warehouse Shipment Monitoring
• Analyzing Crops in Remote Greenhouses
• Acoustic Pipe Leak Detection
• Running Faucet Detection with Cellular Alerts
• Adding Machine Learning to micro-ROS Robotics Projects
• Edge-to-Cloud Machine Learning Pipeline with Azure
• Fungal Pneumonia Detector

Featured POCs

• Gas Detection in the O&G Industry
• Illegal Logging Detection
• Outdoor Activity Tracker
• Analog Meter Reading
• Occupancy Sensing
• Workplace Organizer

Developer Challenges

• TinyML Challenge: Smart Weather Station
• K-Way x Arduino
• Smarter Sustainable World Challenge (Nordic Semiconductor)
• IoT Into the Wild Challenge (Seeed Studio)
• Spresense Developer Challenge 2022 (Sony)
• Project of the Month
• Take it to the Edge (Monthly Hackster Challenge)

Talks, Interviews, and Demos

• ML on the Edge Episode 1: Simon Segars
• ML on the Edge Episode 2: Ben Gibbs
• MLOps AMA
• Useful Sensors x Edge Impulse AMA
• Building Products with ML Inside (Hardware Pioneers Max)
• How to Supercharge Your Edge ML Application (Hardware Pioneers Max)
• tinyML Talks: Constrained Object Detection on Microcontrollers with FOMO
• TI Connect: Embedded Machine Learning for IoT with Edge Impulse
• Zach Shelby Discusses Enabling Edge ML Everywhere (Embedded Vision Summit)
• Jan Jongboom Discusses Real-Time Object Detection on MCUs (Embedded Vision Summit)
• Screw and Washer Detection with FOMO (Embedded Vision Summit)
• Wildlife Monitoring Demo with Sony Spresense (Embedded Vision Summit)
• Giving Your LoRaWAN Device Eyes and Ears (The Things Conference)
• Silicon Labs EFR32MG24 Machine Vision with Edge Impulse (Embedded World)
• Wevolver Fireside Chat with Daniel Situnayake
• ML and Privacy at the Edge with Daniel Situnayake
• tinyML Trailblazers with Zach Shelby
• Making the Impossible, Possible with Aurelien Lequertier (Applied Machine Learning Days)

Webinars to Rewatch

• Perfecting Factory 5.0 with SparkFun and NVIDIA
• Arm AI Tech Talk: FOMO
• Bringing Development of BrainChip Akida Neuromorphic Models to All
• Edge ML for Health and Safety Monitoring
• Privacy-Friendly Advertising Panels, Powered by AI
• How ML Can Help with Predictive Maintenance for Industrial Applications
• Exploring the Power of Synaptics’ Katana with Edge Impulse
• Embedded AI Development Made Easy with Texas Instruments
• Combining 4G LTE and TinyML with Edge Impulse and Sony Spresense
• Accelerating Innovation on the IoT Edge with Integrated SIM

In the News

• The Next Web
• Business Insider
• TechTarget
• VentureBeat
• Elektor
• EE Times: #1 / #2 / #3
• Hackster.io
• Hackaday
• All About Circuits
• eeNews Europe: #1 / #2 / #3 / #4

 

[Makeme 2020]

Edge Impulse and BrainChip partner to support the Akida platform​

News
1 min read
Neil Tyler
04 Jan 2023

Edge Impulse has announced official support for BrainChip's neural processor AI IP, making BrainChip the first strategic IP partner on the Edge Impulse platform.

This integration will enable users to leverage Edge Impulse's machine learning platform, combined with the high-performance neural processing capabilities of BrainChip's Akida to develop and deploy powerful edge-based solutions.
Among the products supported by Edge Impulse is BrainChip's AKD1000 SoC, the first available device with Akida IP for developers. This comes with a BrainChip Akida PCIe reference board, which can be plugged into a developer's existing system to unlock capabilities for a wide array of edge AI use cases, including Automotive, Consumer, Home, and Industrial applications.
The Akida IP platform provides low-power, high-performance edge AI acceleration, designed to enable real-time machine learning inferencing on-device.
Based on neuromorphic principles that mimic the brain, Akida supports current models and workloads but will also be able to address emerging trends in efficient AI. Now devices with the Akida IP supported by Edge Impulse can enable users to sample raw data, build models, and deploy trained embedded machine learning models directly from Edge Impulse Studio to create the next generation of low-power, high-performance ML applications.
"This integration will provide users with a powerful and easy-to-use solution for building and deploying machine learning models on the edge," said Zach Shelby, co-founder and CEO of Edge Impulse. "We look forward to seeing what our users will create with BrainChip's AI offering."
"BrainChip's goal is to push the limits of on-chip AI compute to extremely energy-constrained sensor devices, the kind of performance that is only available in much higher power systems." said Sean Hehir, BrainChip's CEO. "Having our Akida IP supported and implemented into the Edge Impulse platform helps ensure that developers are able to deploy ML solutions quickly and easily to create a much more capable, innovative, and truly intelligent edge."
Edge Impulse and BrainChip already have an established relationship, previously announcing cross-platform support, including support for deploying Edge Impulse projects on the BrainChip MetaTF platform. Some of the features in which the user community can leverage include:

• BrainChip's transfer learning block on Edge Impulse design studio
• Quantization Aware Training (QAT)
• The introduction of FOMO for BrainChip's Akida
• Generation of BrainChip's compatible Edge Learning Models
• No-code binary generation for quick AKD1000 deployment
• Performance metrics for model profiling

The ongoing combination of BrainChip's Akida technology and Edge Impulse's platform, tools, and services will allow customers to deliver ML with fast and efficient development cycles to get to market quicker and achieve a competitive advantage.
Artificial Intelligence
ASIC & SoC

 

[Pepsin]

https://www.linkedin.com/posts/llew...0m?utm_source=share&utm_medium=member_desktop

Think #PS5 #AR #VR type experiences in your car. #nocloud #battery

Akida’s ability to handle simultaneous multiplexing of models, something that traditional cloud, mobile, or GPU systems struggle with.

I think I like that a lot!

Kind regards from Germany!

 

[Getupthere]

We love the Germans!