In short The US Pacific Northwest National Laboratory is investigating how AI technologies can be used to create a “digital police officer” or “D-PO” in the future.
Freedom of Information requests filed by the Electronic Frontier Foundation show that the US Department of Energy-funded lab envisions cops may one day be able to partner with a virtual law enforcement assistant. criminality. The D-PO would be able, for example, to harness facial recognition systems to alert a patrolling police officer to a nearby suspect, and could even offer advice on how best to apprehend the suspect.
The EFF has warned against association with software like D-PO, citing concerns about inaccurate facial recognition matches and biased predictive policing policies.
“The good news is that in the emails we’ve obtained, one of the authors acknowledges in internal emails that things like a D-PO taking over driving are ‘far away’ and that the Monitoring live drone feeds is ‘not a short-term capability,’ the digital privacy-focused nonprofit said.
The national lab also described how a separate virtual assistant, BITS, could provide U.S. border and customs agents with visual data to help them combat drug trafficking. “The records received by the EFF do not indicate any official interest from CBP or the Department of Homeland Security. However, BITS may not be as far away in the future as D-PO,” a- he declared.
Uber is back in the self-driving taxi game
Ride-sharing giant Uber has announced a ten-year deal with self-driving car start-up Motional Inc to develop self-driving taxis.
Uber abandoned efforts to develop its own self-driving vehicles in-house and sold its Advanced Technology Group unit to self-driving vehicle company Aurora in 2020. Now it’s trying to reinvigorate efforts to get back into the robotaxis business by spending a contract with a third-party supplier to build the necessary cars.
Motional will provide the hardware, while Uber will connect them to riders. “This agreement will be instrumental in the widespread adoption of robotaxis,” Karl Iagnemma, president and CEO of Motional, said in a statement.
“Motional now has unparalleled access to millions of riders and a roadmap that will significantly evolve over the next ten years. We are proud to partner with Uber to bring both driverless and mobile transportation to life. deliveries to cities in the United States.”
The two companies have worked together before. Motional in May launched tests of its IONIQ 5 autonomous electric vehicles to deliver food to Uber Eats customers in Santa Monica, California.
Optimize PyTorch models on AMD and Nvidia GPUs
Meta researchers have released AITemplate, a new framework aimed at speeding up the process of inferencing AI models running on graphics processing units from Nvidia and AMD.
Developers have to rewrite code if they want to optimize their models on different hardware, making it a tedious task to change. AITemplate (AIT), however, gives them more flexibility by turning neural networks written in PyTorch into CUDA or HIP C++ code to support Nvidia’s A100 and AMD’s MI200 GPU systems.
“With AIT, it is now possible to run high-performance inference on hardware from both GPU vendors,” Meta said in a blog post. “We used AIT to achieve up to 12x performance improvements on NVIDIA GPUs and 4x on AMD GPUs compared to impatient mode in PyTorch.”
The developers plan to extend AIT to support Apple’s M-series GPUs as well as CPUs. You can access the codebase here.
American AI Bill of Rights
This week, the White House proposed an AI Bill of Rights, a non-binding plan to help agencies, private industry and citizens guide the development and deployment of algorithms.
People should have the right to be protected from unsafe systems and discrimination, and their privacy should be respected. They should also know when and how their personal data is being used, and should be able to opt out of automated services if possible.
“Automated technologies are driving remarkable innovations and shaping important decisions that impact people’s rights, opportunities and access. algorithms,” Alondra Nelson, deputy director of the Office of Science and Technology Policy, said in a statement.
The bill is designed to help lawmakers shape policy and encourage developers to build AI systems safely. What this means in practice, however, is unclear given that the bill does not enforce new laws aimed at regulating AI. ®
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