DingoBorat
Slim
Well let's just say, I can guess which side you're on
When the Future becomes History, we will see "who" has been indoctrinated or not
BRN Discussion Ongoing
- Thread starter TechGirl
- Start date
When the Future becomes History, we will see "who" has been indoctrinated or not
supersonic001
Regular
#edgeai #computervision #aiinnovation | BrainChip
ARQUIMEA has demonstrated an ocean safety drone solution capable of detecting swimmers and surfers in real-time—enhancing lifeguard capabilities across large coastal areas. This event-based approach delivers faster detection, improved tracking accuracy, and lower power consumption compared to...
7für7
Top 20
You’re probably not the only one with a significant investment here, and I never claimed otherwise in my original post about my own concern than you. I also made a clear distinction between bashing and expressing genuine concern of shareholders.
As for your original questions – sorry, but those are things no one can seriously answer with certainty. Unless you’re just looking for someone to confirm what you want to hear. I gave you my honest opinion on your questions. But maybe you know more?
Enough is Enough. I want everyone to stop turning this forum into a place to voice their opinions on Trump. We all have different political opinions but this is not the place for such a debate. Keep your opinions to yourself.
Trump is the leader that citizens from every country wish they had. A no nonsense president. A president who is an expert in the art of negotiation. Basically a legend.
Enough said. Let’s keep this thread free of political bias and opinions.
Trump is the leader that citizens from every country wish they had. A no nonsense president. A president who is an expert in the art of negotiation. Basically a legend.
Enough said. Let’s keep this thread free of political bias and opinions.
HarryCool1
Regular
Well said... Hey, hang on, isn't that an opinion??
Wearable Sensors to Monitor Environmental and Occupational Impacts to Brain Health – Army SBIR|STTR Program
TITLE: Wearable Sensors to Monitor Environmental and Occupational Impacts to Brain Health
You can bet we are considered for this project. AKIDA GEN2 , or perhaps PICO would be a perfect fit.
Release Date: 03/05/2025 Open Date: 03/26/2025
Looks like the US Army is transitioning as well.
Note phase 3 uses outside the ARMY to be looked at.
TITLE: Wearable Sensors to Monitor Environmental and Occupational Impacts to Brain Health
You can bet we are considered for this project. AKIDA GEN2 , or perhaps PICO would be a perfect fit.
Release Date: 03/05/2025 Open Date: 03/26/2025
Looks like the US Army is transitioning as well.
Note phase 3 uses outside the ARMY to be looked at.
TheDrooben
Pretty Pretty Pretty Pretty Good
To give posters an idea about the number of open and closed US ARMY projects concerning AI flick through the link below.
Open projects first then closed projects follow.
The US Army is definitely on the Transition to AI path.
Topics – Army SBIR|STTR Program
Open projects first then closed projects follow.
The US Army is definitely on the Transition to AI path.
Topics – Army SBIR|STTR Program
Rangersman
Member
I agree completely and may I just add I think most here quietly agree with you, I know I do.
Trump is the dickhead the world never knew it needed.
I'd move the "never" along a couple of slots.
Rangersman
Member
Not well said but said well lol.
equanimous
Norse clairvoyant shapeshifter goddess
Here are some innovative deployment ideas where this combination could make a significant impact:
#edgeai #computervision #aiinnovation | BrainChip
ARQUIMEA has demonstrated an ocean safety drone solution capable of detecting swimmers and surfers in real-time—enhancing lifeguard capabilities across large coastal areas. This event-based approach delivers faster detection, improved tracking accuracy, and lower power consumption compared to...www.linkedin.com
View attachment 81975
- Wildfire Monitoring and Response
Deploy drones equipped with this technology to monitor vast forested areas for early signs of wildfires. The event-based vision system could detect smoke or sudden temperature changes in real-time, while the low-power neuromorphic processing enables extended flight times. Emergency teams could receive precise coordinates of fire outbreaks, allowing faster containment efforts, especially in remote or rugged terrain where traditional surveillance struggles. - Urban Search and Rescue (USAR)
In disaster scenarios like earthquakes or building collapses, these drones could navigate debris-filled environments to locate survivors. The high-speed detection and tracking capabilities would identify subtle movements—such as a trapped person waving or shifting rubble—under challenging lighting conditions (e.g., dust, darkness). The lightweight, power-efficient design ensures prolonged operation without frequent recharging, critical in time-sensitive missions. - Avalanche and Mountain Rescue
Equip drones to patrol snowy mountain regions, detecting skiers or climbers caught in avalanches. The event-based sensors could spot rapid changes in the snow surface or human motion against a static background, even in blizzard conditions where conventional cameras fail due to blur or low visibility. This would enhance the speed and accuracy of rescue operations in harsh alpine environments. - Flood Detection and Victim Assistance
Use the technology to monitor flood-prone areas, identifying rising water levels or stranded individuals in real-time. The drones could track moving objects—like people or vehicles—across large, dynamic flood zones, providing emergency services with actionable data to prioritize rescue efforts. The low-power advantage allows continuous monitoring during prolonged flood events. - Traffic Accident Response
Deploy drones over highways or urban roads to detect accidents as they occur. The system’s ability to process high-speed events could identify sudden vehicle stops, collisions, or pedestrians in distress, relaying alerts to paramedics and police instantly. This rapid response capability could reduce secondary accidents and improve survival rates in critical situations. - Hazardous Material Spill Detection
In industrial or chemical emergencies, drones could scan for spills or leaks by detecting unusual motion (e.g., liquid spreading) or changes in infrared signatures. The neuromorphic system’s efficiency ensures safe, prolonged operation near hazardous sites, providing real-time updates to containment teams without risking human exposure. - Crowd Safety at Large Events
Monitor festivals, protests, or sports events for emergencies like stampedes or medical incidents. The event-based approach excels at tracking fast-moving crowds and spotting anomalies—like a person collapsing—across wide areas. Emergency responders could be directed to exact locations quickly, improving crowd management and safety. - Border and Perimeter Security
Enhance surveillance along borders or sensitive installations by detecting unauthorized movements in real-time. The technology’s low power consumption supports long-duration patrols, while its ability to function in low-light or adverse weather conditions ensures reliable detection of intruders or suspicious activity, aiding rapid response by security forces. - Medical Delivery in Crisis Zones
Equip drones to deliver critical supplies (e.g., defibrillators, medicine) to remote or disaster-stricken areas. The event-based sensing could guide navigation through chaotic environments—avoiding obstacles and identifying landing zones—while the neuromorphic processor optimizes battery life, ensuring more deliveries per charge. - Wildlife Rescue and Poaching Prevention
Use drones to monitor endangered species or detect poaching activities in vast nature reserves. The system could track animal movements or spot human intruders at night, providing rangers with real-time alerts. Its energy efficiency makes it ideal for extended missions in off-grid wilderness areas.
Grok.
Meta (Facepalm)
Meta is being excoriated before US Senate by whistleblower:
So I thought I'd check on their AI tech:
The Llama 4 Models are a collection of pretrained and instruction-tuned mixture-of-experts LLMs offered in two sizes: Llama 4 Scout & Llama 4 Maverick. These models are optimized for multimodal understanding, multilingual tasks, coding, tool-calling, and powering agentic systems. The models have a knowledge cutoff of August 2024.
"a knowledge cutoff of August 2024" - ie, no ML.
Meta is being excoriated before US Senate by whistleblower:
So I thought I'd check on their AI tech:
Llama 4
IntroductionThe Llama 4 Models are a collection of pretrained and instruction-tuned mixture-of-experts LLMs offered in two sizes: Llama 4 Scout & Llama 4 Maverick. These models are optimized for multimodal understanding, multilingual tasks, coding, tool-calling, and powering agentic systems. The models have a knowledge cutoff of August 2024.
"a knowledge cutoff of August 2024" - ie, no ML.
Mutatis mutandis
Frangipani
Top 20
Miguel Lopez, Head of Robotics at ARQUIMEA Research Center (ARC), posted this earlier today:
www.linkedin.com
His own name and the names of the researchers in his ARC robotics perception team, which he congratulates on their “fantastic work” in the above post, match with more than half of the co-authors of the research paper “Real-Time Beach Monitoring: Addressing Beach Safety with UAVs and Computer Vision” that I shared last month.
https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-454042
While the paper is not open access and I thus still cannot verify whether or not it already mentions the event-based Prophesee & Akida drone solution, it is at least quite likely that the other co-authors would already have been aware of Akida at the time of publication (which appears to be 1 January 2024; the paper was subsequently presented at the 2024 7th Iberian Robotics Conference at Universidad Politécnica de Madrid in early November 2024, cf. page 16 of the PDF programme accessible on https://eventos.upm.es/109808/detail/robot-2024-.html), given Miguel Lopez wrote that “This #research project has been in the making for quite some time now…” - and even if not, well, they are definitely now.
All co-authors not underlined are affiliated with the research group “Computer Vision and Aerial Robotics” (CVAR) within the Centre for Automation and Robotics (CAR) at Universidad Politécnica de Madrid (UPM), headed by Pascual Campoy, who has been a full professor at UPM for more than 42 years and has been involved in more than 40 R&D projects, including over 25 technical transfer projects directly contracted with the industry.
The paper’s first author is Rodrigo Da Silva Gómez, a UPM student:
The paper’s remaining three co-authors are two current PhD students and a former PhD student at CVAR-UPM who is now an AI consultant and freelancer:
The way I see it, that bodes well for the CVAR researchers at UPM (which ranks as Spain’s top technical university, by the way) potentially using our technology for current or future technical transfer projects with industry partners.
#actuation #research #neuromorphic #perception #arquimea #robotics | Miguel L.
I usually publish about robotic #actuation, so this is one of the rare ocasions where our work in robotics perception comes to light. This #research project has been in the making for quite some time now, it´s great to see a fully #neuromorphic #perception system delivering results on a...
His own name and the names of the researchers in his ARC robotics perception team, which he congratulates on their “fantastic work” in the above post, match with more than half of the co-authors of the research paper “Real-Time Beach Monitoring: Addressing Beach Safety with UAVs and Computer Vision” that I shared last month.
https://thestockexchange.com.au/threads/brn-discussion-ongoing.1/post-454042
While the paper is not open access and I thus still cannot verify whether or not it already mentions the event-based Prophesee & Akida drone solution, it is at least quite likely that the other co-authors would already have been aware of Akida at the time of publication (which appears to be 1 January 2024; the paper was subsequently presented at the 2024 7th Iberian Robotics Conference at Universidad Politécnica de Madrid in early November 2024, cf. page 16 of the PDF programme accessible on https://eventos.upm.es/109808/detail/robot-2024-.html), given Miguel Lopez wrote that “This #research project has been in the making for quite some time now…” - and even if not, well, they are definitely now.
All co-authors not underlined are affiliated with the research group “Computer Vision and Aerial Robotics” (CVAR) within the Centre for Automation and Robotics (CAR) at Universidad Politécnica de Madrid (UPM), headed by Pascual Campoy, who has been a full professor at UPM for more than 42 years and has been involved in more than 40 R&D projects, including over 25 technical transfer projects directly contracted with the industry.
The paper’s first author is Rodrigo Da Silva Gómez, a UPM student:
The paper’s remaining three co-authors are two current PhD students and a former PhD student at CVAR-UPM who is now an AI consultant and freelancer:
The way I see it, that bodes well for the CVAR researchers at UPM (which ranks as Spain’s top technical university, by the way) potentially using our technology for current or future technical transfer projects with industry partners.
Last edited:
JoMo68
Regular
Gandauco
Emerged
Oh yeah, I love them too, they're the best!
FJ-215
Regular
Similar threads
