BRN Discussion Ongoing
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SharesForBrekky
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"Prophesee Expands into Vision Sensing Applications
Prophesee attended the trade show to present the latest version of its event-based vision-sensing solutions, which enhance the efficiency and performance of vision-enabled systems and devices. By utilizing neuromorphic techniques that allow for independently activated pixels, Prophesee’s Metavision processes only the changes in events, leading to improvements in power consumption, data processing capabilities, dynamic range, and latency compared to conventional frame-based cameras."
"Suprema AI: Best Innovation Award at CES 2025
Korean embedded on-device AI company Suprema AI has received the Best Innovation Award in the embedded technology category at CES 2025 for its Q-Vision Pro. The device is an AI-powered module designed for the detection and prevention of financial crimes in standalone devices, such as Automated Teller Machines (ATMs). The hardware utilizes facial recognition and behavior analysis algorithms.
Furthermore, the device is designed to function independently of network connectivity, thereby ensuring secure operational capacity in locations where internet access may be limited or unavailable."
Smoothsailing
Regular
Question…. What was that all about a few weeks back on these guys in trouble financially ?.It seems that must have been rectified, hopefully
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Food4 thought
Regular
Are we involved with this company?
About Sensory, Inc.
Sensory Inc. develops fast, accurate, and private on-device AI technologies, powering over 2 billion devices globally from Amazon, Google, Microsoft, Samsung, etc. With more than 60 patents, Sensory’s innovations in speech recognition, emergency vehicle detection, voice assistants, biometrics, and natural language understanding span industries like automotive, consumer electronics, wearables, medical, and more.
About Sensory, Inc.
Sensory Inc. develops fast, accurate, and private on-device AI technologies, powering over 2 billion devices globally from Amazon, Google, Microsoft, Samsung, etc. With more than 60 patents, Sensory’s innovations in speech recognition, emergency vehicle detection, voice assistants, biometrics, and natural language understanding span industries like automotive, consumer electronics, wearables, medical, and more.
Food4 thought
Regular
It sounds like Brainchip
Location is right
Sensory’s TrulyHandsfree, featuring phrase-spotting technology, enables users to interact with their devices using natural voice commands, going beyond simple wake word functionality. With high accuracy (95%+) and zero latency, TrulyHandsfree powers the Jabra Perform 75 with seamless, hands-free access to capabilities delivered via handhelds – like Push-to-Talk, Voice Directed Picking, and Associate AI Assistants. This makes it an ideal solution for fast-paced, noisy retail environments, allowing frontline workers to communicate easily and instantly access critical information, so they can deliver an enhanced in-store customer experience.
About Sensory, Inc.
Sensory Inc. develops fast, accurate, and private on-device AI technologies, powering over 2 billion devices globally from Amazon, Google, Microsoft, Samsung, etc. With more than 60 patents, Sensory’s innovations in speech recognition, emergency vehicle detection, voice assistants, biometrics, and natural language understanding span industries like automotive, consumer electronics, wearables, medical, and more.
About Jabra
Jabra is a world leading brand in audio, video and collaboration solutions – engineered to empower businesses. Proudly part of GN Group, we are committed to bringing people closer to one another and to what is important to them. Jabra engineering excellence leads the way, building on over 150 years of pioneering work within GN. This allows us to create integrated tools for contact centers, offices, and collaboration to help professionals work more productively from anywhere. www.jabra.com
Location is right
SENSORY’S AI VOICE TECH ENABLES VOICE CONTROL IN JABRA’S INNOVATIVE RETAIL SOLUTION
Santa Clara, CA – January 22, 2025 — Sensory, Inc., a leader in embedded AI and voice technology, today announced its next step in their partnership with Jabra, a world-leading professional audio brand. This latest collaboration integrates Sensory’s TrulyHandsfree wake word technology into Jabra’s new Perform 75 Bluetooth headset, specifically designed for frontline workers in retail operations.Sensory’s TrulyHandsfree, featuring phrase-spotting technology, enables users to interact with their devices using natural voice commands, going beyond simple wake word functionality. With high accuracy (95%+) and zero latency, TrulyHandsfree powers the Jabra Perform 75 with seamless, hands-free access to capabilities delivered via handhelds – like Push-to-Talk, Voice Directed Picking, and Associate AI Assistants. This makes it an ideal solution for fast-paced, noisy retail environments, allowing frontline workers to communicate easily and instantly access critical information, so they can deliver an enhanced in-store customer experience.
The Jabra Perform 75 joins the Perform 45 in Jabra’s portfolio of headsets designed for frontline retail workers. This latest offering is specifically tailored to meet the unique demands of shiftwork in retail operational environments, enhancing collaboration, productivity, and customer experience.
The Jabra Perform 75 featuring Sensory’s TrulyHandsfree technology launched last week at NRF 2025, and promises to revolutionize communication in retail environments and set a new standard for frontline worker efficiency.
About Sensory, Inc.
Sensory Inc. develops fast, accurate, and private on-device AI technologies, powering over 2 billion devices globally from Amazon, Google, Microsoft, Samsung, etc. With more than 60 patents, Sensory’s innovations in speech recognition, emergency vehicle detection, voice assistants, biometrics, and natural language understanding span industries like automotive, consumer electronics, wearables, medical, and more.
About Jabra
Jabra is a world leading brand in audio, video and collaboration solutions – engineered to empower businesses. Proudly part of GN Group, we are committed to bringing people closer to one another and to what is important to them. Jabra engineering excellence leads the way, building on over 150 years of pioneering work within GN. This allows us to create integrated tools for contact centers, offices, and collaboration to help professionals work more productively from anywhere. www.jabra.com
uiux
Regular
Is Nvidia’s reign over AI chips at risk with focus on high-end GPUs? | The National
Rivals such as Amazon and Microsoft are pouring billions into more affordable AI models to challenge Nvidia’s market dominance
Is Nvidia’s reign over AI chips at risk with focus on high-end GPUs?
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This article is a wake-up call for Nvidia to adapt to the rise of low SWAP (Size, Weight, and Power) processors. While Nvidia dominates with high-performance GPUs, competitors like DeepSeek are proving that cost-effective, efficient solutions can deliver comparable AI performance by optimizing software for less powerful hardware. This mirrors Intel’s decline, where its focus on high-performance chips left it behind as the industry shifted to mobile computing. If Nvidia doesn’t embrace low SWAP processors and more energy-efficient designs, it risks losing its edge as the market increasingly prioritizes affordability and efficiency over raw power. Adapting now is critical to maintaining its leadership in the evolving AI landscape.
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Who wants to see NVidia produce a processor based on Akida IP?
Is this the moment when everyone finally understands Brainchips core value proposition?
Shadow59
Regular
This is a bit like comparing McLaren and HyundaiIs Nvidia’s reign over AI chips at risk with focus on high-end GPUs? | The National
Rivals such as Amazon and Microsoft are pouring billions into more affordable AI models to challenge Nvidia’s market dominancewww.thenationalnews.com
Is Nvidia’s reign over AI chips at risk with focus on high-end GPUs?
---
This article is a wake-up call for Nvidia to adapt to the rise of low SWAP (Size, Weight, and Power) processors. While Nvidia dominates with high-performance GPUs, competitors like DeepSeek are proving that cost-effective, efficient solutions can deliver comparable AI performance by optimizing software for less powerful hardware. This mirrors Intel’s decline, where its focus on high-performance chips left it behind as the industry shifted to mobile computing. If Nvidia doesn’t embrace low SWAP processors and more energy-efficient designs, it risks losing its edge as the market increasingly prioritizes affordability and efficiency over raw power. Adapting now is critical to maintaining its leadership in the evolving AI landscape.
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Who wants to see NVidia produce a processor based on Akida IP?
Is this the moment when everyone finally understands Brainchips core value proposition?
Hi Believers,
Thought I'd share this photo, two things I've noticed, one I should have had my glasses on and two, is that Jensen
Huang's name on that Board Peter ?
Good to stir the pot every now and then.
If you can't currently feel the positive energy around our company at the moment, well then you're dead, so much to unpack
throughout this year and into 2026....cybersecurity, healthcare and my favourite, space, the final frontier !
Here's to a positive 4C and update.......love Akida Tech
Thought I'd share this photo, two things I've noticed, one I should have had my glasses on and two, is that Jensen
Huang's name on that Board Peter ?
Good to stir the pot every now and then.If you can't currently feel the positive energy around our company at the moment, well then you're dead, so much to unpack
throughout this year and into 2026....cybersecurity, healthcare and my favourite, space, the final frontier !
Here's to a positive 4C and update.......love Akida Tech
uiux
Regular
For this analogy
The industry has been using the McLaren to train and run inference for LLMs
China has just released an LLM that performs as well as the best and it can run on a beat up Datsun
Now why would people keep forking out for McLarens
Smoothsailing
Regular
I like reading things like this…. to the moon
@uiux
Hi UiUx,
Espacenet has 20 patent applications which refer to DeepSeek. They are all Chinese.
The earliest is from 20200325.
CN118132969A Table data processing large language model training method and device, medium and equipment 20200325
With the advent of the digital age, a large amount of data is structured in tabular form and is widely used in various industries and fields. From transaction monitoring in the banking industry to human resource management to census in government agencies, tabular data plays an irreplaceable role in modern society. Although tabular data is ubiquitous, specific tasks related to tables are usually time-consuming and labor-intensive and require professional skills. Automating these tabular tasks is of great significance to both academia and industry, and has attracted the attention of many researchers.
...
The present invention believes that expanding the reasoning process of short answers to training data can enhance the reasoning ability of large language models. Since WikiTQ and FeTaQA only provide raw table data and do not involve text information, in order to simulate the office scene of mixed text and tables in the real world, the present invention also uses GPT-3.5 to supplement the table description information.
In some embodiments, the length of the document embedding table is less than 500 tokens.
Since the answers in the training data are presented in text form, the solution of question-answer pairs is achieved through the internal parameter-driven method of the model. In connection with the form tasks in office scenarios, a constraint of less than 500 tokens is imposed on the form input in this way to ensure that the model can more accurately build the connection between questions and answers.
Since data operations on tables embedded in spreadsheets mainly involve simple table input and complex table operations, such tasks are more suitable for solving in a code-driven way. In combination with the characteristics of WikiSQL and Spider training sets corresponding to SQL queries, this example selects training data from them, and optionally expands the reasoning process of question-answer pairs into Pandas code form, for example, through the Deepseek large language model to ensure flexibility in data operations. By comparing the quality of the generated code, it is ensured that the execution results after the generated Pandas code are consistent with the original answers provided in the benchmark. Among them, for the Spider dataset, in order to better keep consistent with the needs of single-table operations in office scenarios, data with empty results after multi-table queries and SQL queries are excluded to better reflect actual applications.
Step 1: Obtain form question and answer data, wherein the form question and answer data includes a form, questions and answers.
In some embodiments, the tabular question and answer data is derived from one or more of the WikiTQ, FeTaQA, or TAT-QA datasets;
The tabular question and answer data also comes from WikiSQL and/or Spider datasets.
In the specific implementation, the initial table question answering data comes from the existing table question answering task benchmark data set. Specifically, for the query of document embedded table data, the training data is mainly collected from the widely used table question answering benchmarks, including WikiTQ, FeTaQA and TAT-QA. For the data operation of spreadsheet embedded tables, the training data is obtained from the two Text2SQL benchmarks WikiSQL and Spider.
Step 2: Input the table and question into the intelligent question-answering model to generate an extended answer to the answer, and form extended training data based on the table, question and extended answer.
In some embodiments, the intelligent question answering model includes one or more of GPT3.5, GPT4, and deepseek-coder-33B.
Step three: generate a new question based on the table, input the table and the new question into the intelligent question-answering model, and generate a first answer and a second answer based on different methods.
Step 4: Compare the first answer and the second answer for cross-validation. If the cross-validation passes, generate training data based on the table, the new question, and the first answer and/or the second answer.
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Apparently DeepSeek is software based so it needs hardware to function at the Edge.
AKIDA is Event based and is inherently low power. DeepSeek is not Event based.
AKIDA may well be the choice of Hardware for DeepSeek users for the Edge.
Being Event based AKIDA has fewer false positives which is essential for Defense, Civil aviation and shipping, Health and Security detection - see Brainchip and Neurobus in low power ship detection from satellite.
https://arxiv.org/html/2406.11319v1
AKIDA is Event based and is inherently low power. DeepSeek is not Event based.
AKIDA may well be the choice of Hardware for DeepSeek users for the Edge.
Being Event based AKIDA has fewer false positives which is essential for Defense, Civil aviation and shipping, Health and Security detection - see Brainchip and Neurobus in low power ship detection from satellite.
https://arxiv.org/html/2406.11319v1
RobjHunt
Regular
Datsun insult for Nvidia
These GenAI boffins are concerned with:
A. Training
B. Inference
C. "Reasoning".
From what I can glean, it seems DeepSeek's forte is in training, but I haven't got my head around it.
BRN of course is closely allied, one could say synergistically, with Edge Impulse in training, BRN having its one-shot, on-chip learning, which has dovetailed with Edge Impulse's automatic learning.
What could you try out until now with your twoHi Believers,
Thought I'd share this photo, two things I've noticed, one I should have had my glasses on and two, is that Jensen
Huang's name on that Board Peter ?
If you can't currently feel the positive energy around our company at the moment, well then you're dead, so much to unpack
throughout this year and into 2026....cybersecurity, healthcare and my favourite, space, the final frontier !
Here's to a positive 4C and update.......love Akida Tech
View attachment 76743
Girls on the table? If you know what I mean
..
Food4 thought
Regular
Both of them are lazy suzansWhat could you try out until now with your two
Girls on the table? If you know what I mean
So I don’t think anything all they do is go round and round and round
DingoBorat
Slim
https://www.srcinc.com/products/int...ondor-high-performance-embeded-computing.html
Agile Condor® High-Performance Embedded Computing
The Agile Condor high-performance embedded computing (HPEC) architecture offers sensor-agnostic, on-board, real-time data processing to deliver actionable intelligence to the warfighter.
Originally designed to fly in a pod-based enclosure onboard RPA, the Agile Condor system comprises advanced hardware, software and processing algorithms that can deliver super-computer-like performance in extremely size, weight and power (SWaP) constrained environments, whether in the air, in space, on land or at sea
Utilizing high-performance embedded computing, agile condor, for intelligent processing: An artificial intelligence platform for remotely piloted aircraft | Semantic Scholar
For the first time ever, and in real-time, the Agile Condor system demonstrated: image processing, video processing and pattern recognition through the use of deep convolutional neural networks. A newly invented, high performance, pod-based computer architecture, called Agile Condor (patent...www.semanticscholar.org
View attachment 76671
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https://bascomhunter.com/products-s...c-processors/asic-solutions/3u-vpx-snap-card/
3U VPX SNAP Card
Bascom Hunter’s SNAP Card (Spiking Neuromorphic Advanced Processor) is a high-performance 3U OpenVPX AI/ML processor built for rugged, mission-critical environments. The card is SOSA-aligned, HOST-compatible, and conduction cooled. It combines a Xilinx UltraScale+ RFSoC FPGA with five BrainChipAKD1000 spiking neuromorphic processors to achieve the best of both signal processing and neuromorphic computing – featuring a total of 6million neurons and 50 billion synapses across the card. Unlike traditional machine learning accelerators such as GPUs or TPUs, neuromorphic processors are designed to mimic the biological efficiency of the human brain, allowing the SNAP Card to run multiple ML models in parallel at exceptionally low power — just 1W per model — without sacrificing speed or accuracy while the FPGA enhances input/output operations and performs any desired signal processing tasks. This combination in a rugged, interoperable, and military-hardened package makes Bascom Hunter’s SNAP Card the ideal solution for the concurrent and parallel processing of real-time, multi-modal, and multi sensor data on autonomous, unattended, denied, or otherwise battery constrained military systems.
View attachment 76673
– Automated Target Recognition (ATR) on full motion video feeds and imagery (to include 4k and higher)
– Real-time detection and identification of threat radars and their acquisition/operating modes
– Detection of FISINT (Foreign Instrumentation Signature Intelligence) and/or hacking across the airframe’s 1553 communications bus
– Perform communications analysis to include speech-to-text and foreign language translation of intercepted communications
– Fuse multiple infrared cameras (e.g., SWIR, MWIR, LWIR) to provide a combined infrared operating picture on the ground Multi-user, simultaneous modulation/demodulation
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Compare the advertised feature set of the Bascom Hunter product with the features highlighted in the Agile Condor promo video:
Hey, that video looks like it's just from a PlayStation game, or something
..
DingoBorat
Slim
Bah! All this research and "discoveries" this weekend 
..
Look, I can blow up a balloon!
..Look, I can blow up a balloon!
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