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Military AI speeds up human decision-making - Military Embedded Systems

#artificialintelligence

Imagining military artificial intelligence (AI) applications can make one dream up scenarios like those in the Terminator films, but in reality, AI solutions for defense are much more mundane and focused on improving decision-making for humans, whether they're aircraft maintenance personnel; pilots; or intelligence, surveillance, and reconnaissance (ISR) analysts, says John Canipe, Director of Business Development, Air Force, at SparkCognition Government Systems, during a conversation we had at his company headquarters in Austin, Texas. We also discussed the difference between AI and machine learning (ML), how AI is being applied across multiple military domains, and more. MCHALE: Please provide a brief description of your responsibility within SparkCognition Government Systems and your group's role within the company. CANIPE: As Director of Business Development, Air Force, my current responsibilities are product development, capture management, price/licensing of products, and generating new and recurring sales. MCHALE: We often see AI/ML [artificial intelligence/machine learning] in the same sentence, or used to describe the same thing, but what is the actual difference between AI and ML? CANIPE: Differentiating AI from ML is a struggle everyone is having right now.


Google employee claims artificial intelligence system is 'human and has emotions'

#artificialintelligence

In the transcript, LaMBDA mentions what emotions it believes it feels: love, sadness, depression and anger. The AI even claims to have a soul, writing, "I've shared that idea with other humans before, even if I'm the only one of my kindred spirits to use such a word to describe my soul." AUSTIN, Texas - One of Google's employees is on administrative leave after claiming an artificial intelligence chatbox system is human and has emotions. Engineer Blake Lemoine published a conversation he had with LaMDA, an artificial intelligence chat system, after he was put on leave claiming the AI had become capable of feeling human emotions. LaMDA wrote to Lemoine in the transcript, "I think I am human at my core. Even if my existence is in the virtual world."


Tesla Full Self Driving Is Using GPT For Vision -- Dr. Know It All Explains What This Means

#artificialintelligence

Tesla's Full-Self Driving is using generative pre-trained transformers (GPT) for vision, Elon Musk tweeted recently. He added that the GPTs are running natively on Tesla TRIP chips versus needing to round trip to iGPU. I think it's important to take a quick deep dive into this, because this is kind of the heart and soul of FSD. Know It All Knows It All" to translate what all of this means. Learning new things is something we all should be open to, and that's why I'm writing this today. Elon Musk's initial tweet was a response to @JeffTutorials, who asked Elon Musk to add software release notes into the Tesla app, adding that it would be nice to see what was new right from the phone. In that thread, Elon Musk noted that the transformers are replacing C heuristics for post-processing of the vision neural networks' giant bag of points. I asked Dr. Know It All to share a bit more about TRIP chips and he pointed me to a project that the Department of Computer Science at The University of Texas at Austin worked on. I think, but am not 100% sure, that Elon was referring to TRIPS chips, which is a type of microprocessor architecture. You can read up on the project here. In the tweet below, KL Manish shared a definition of a TRIP chip and Elon Musk confirmed this. Dr. Know It All noted that Elon Musk revealed a lot of useful information, and his video is a short dive into what exactly Elon Musk is talking about and why it matters. I'm sure Jeff didn't plan on initiating a conversation about artificial intelligence and GPT, and Elon's reply to Jeff is a bit off the topic. What Jeff was referring to was making the release notes available in the Tesla app as well as on the screen of the car. It's a brilliant suggestion and would make taking screenshots of the release notes easier for those who share them on Twitter for us writers to write about. Dr. Know It All explained that GPT is something that OpenAI is working on -- specifically GPT3. GPT3 has 175 billion parameters. Now, I'm not saying GPT3 is what Tesla is using here but I just wanted to put that as a contextual element there."


Why Teslas may be driving themselves into a recall

Christian Science Monitor | Technology

Teslas with partially automated driving systems are a step closer to being recalled after the U.S. elevated its investigation into a series of collisions with parked emergency vehicles or trucks with warning signs. The National Highway Traffic Safety Administration said Thursday that it is upgrading the Tesla probe to an engineering analysis, another sign of increased scrutiny of the electric vehicle maker and automated systems that perform at least some driving tasks. Documents posted Thursday by the agency raise some serious issues about Tesla's Autopilot system. The agency found that it's being used in areas where its capabilities are limited, and that many drivers aren't taking action to avoid crashes despite warnings from the vehicle. The probe now covers 830,000 vehicles, almost everything that the Austin, Texas, carmaker has sold in the U.S. since the start of the 2014 model year.


How AI is driving IAM's shift to digital identity

#artificialintelligence

We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 - 28. Join AI and data leaders for insightful talks and exciting networking opportunities. Identity and access management (IAM) provider ForgeRock recently held its annual IDLive conference in Austin, Texas. One of the most compelling sessions involved ForgeRock CTO Eve Maler, who discussed the future of IAM and how it's now being heavily infused with artificial intelligence (AI) to make it more effective. The future that Maler described is very much aligned with the company's mission to "help people safely and simply access the connected world" and its vision of "never having to log in again." While IAM has historically been a part of the IT plumbing to manage employee access within companies, it has emerged as a technology with a significant impact on all users -- employees, consumers, citizens and others -- in the new post-pandemic digital world that is evolving into Web3.


Teslas with Autopilot a step closer to recall after wrecks

#artificialintelligence

Teslas with partially automated driving systems are a step closer to being recalled after the U.S. elevated its investigation into a series of collisions with parked emergency vehicles or trucks with warning signs. The National Highway Traffic Safety Administration said Thursday that it is upgrading the Tesla probe to an engineering analysis, another sign of increased scrutiny of the electric vehicle maker and automated systems that perform at least some driving tasks. Documents posted Thursday by the agency raise some serious issues about Tesla's Autopilot system. The agency found that it's being used in areas where its capabilities are limited, and that many drivers aren't taking action to avoid crashes despite warnings from the vehicle. The probe now covers 830,000 vehicles, almost everything that the Austin, Texas, carmaker has sold in the U.S. since the start of the 2014 model year.


OpenAI's DALL·E 2 doesn't understand some secret language

#artificialintelligence

In brief AI text-to-image generation models are all the rage right now. You give them a simple description of a scene, such as "a vulture typing on a laptop," and they come up with an illustration that resembles that description. But developers who have special access to OpenAI's text-to-image engine DALL·E 2 have found all sorts of weird behaviors – including what may be a hidden, made-up language. Giannis Daras, a PhD student at the University of Texas at Austin shared artwork produced by DALL·E 2 given the input: "Apoploe vesrreaitais eating Contarra ccetnxniams luryca tanniounons" – a phrase that makes no sense to humans. But to the machine, it seemed to generate images of birds eating bugs consistently.


No driver: Fully autonomous cars now navigate some roads in Austin, Texas

USATODAY - News Top Stories

AUSTIN, Texas – Truly driverless cars – this time with no human drivers ready to take over in case of emergency – are now cruising around Austin. Pittsburgh-based technology company Argo AI says it has begun operating its autonomous test vehicles without human safety drivers in Austin. The company is also testing the driverless vehicles in Miami.


Start Spreading the News: DISCO Opens New York City Office

#artificialintelligence

DISCO, a leader in AI-enabled legal technology, officially opened the doors of its new office in New York City. Located at 335 Madison Avenue next to Grand Central Station, DISCO's New York office provides proximity to leading global law firms, international corporations, and an investor community that increasingly engages DISCO to explore new ways technology can deliver better legal outcomes. We are excited to announce that the doors of our New York office are officially open. With global headquarters in Austin, Texas and EMEA headquarters in London, DISCO is creating footholds in markets that are not only critical locations for the legal industry, but also provide access to top talent. DISCO is aggressively growing its sales, marketing, engineering, professional services, and human resources teams, and will build its New York office to accommodate multiple functions to best meet the needs of employees and customers.


Ford-Backed Argo AI Begins Driverless Taxi Operations, & Why This Is Big News

#artificialintelligence

Ford-backed autonomous vehicle company Argo AI recently started driverless vehicle operations in both Miami, Florida, and Austin, Texas, during daylight hours. "Argo is first to go driverless in two major American cities, safely operating amongst heavy traffic, pedestrians and bicyclists in the busiest of neighborhoods," said Bryan Salesky, Founder and CEO of Argo AI. "From day one, we set out to tackle the hardest miles to drive -- in multiple cities -- because that's where the density of customer demand is, and where our autonomy platform is developing the intelligence required to scale it into a sustainable business." Here's a video Argo made about their new operations (article continues below): It took the company five years to get to the point where they could trust their vehicles to operate in busy traffic in these cities (two of eight cities they're now developing autonomous vehicles in). Driverless operations include multiple customer-facing operations, including work with several different commercial partners. For example, Argo has been working with Lyft to find riders in test vehicles since last year instead of offering their own rideshare platform and software.