A government task force has released an interim report laying out a vision for a national cyberinfrastructure for AI research, with a goal of "bridging the resource divide." The aim of the initiative — called the National AI Research Resource (NAIRR) — is to make AI tools, resources, and data accessible to more U.S. researchers, not just those working for Big Tech and universities. It could spur AI R&D and limit bias in AI models. Background: - The White House task force has the role of envisioning how the NAIRR infrastructure can drive innovations in AI.
- NAIRR would open up more government research, datasets, and computing capabilities to AI researchers, many of whom lack the resources to crunch large amounts of data using basic AI systems.
- Access to such resources is often limited to Big Tech and well-funded universities, according to Lynne Parker, deputy U.S. CTO.
- This can restrict AI innovations to certain ideas and lead to biases and other inequalities, she said.
- The group was mandated via the U.S. National Artificial Intelligence Initiative Act of 2020.
The latest: - According to the report, the NAIRR is meant to "strengthen and democratize" U.S. AI innovation in ways that protect "privacy, civil rights, and civil liberties."
- The interim report outlines four main goals for the NAIRR, which are to spur innovation, the diversity of AI talent, the capacity for U.S. AI research, and trustworthy AI.
- A NAIRR portal would also allow private-sector partners to share their resources. A non-governmental management entity would run NAIRR.
- The White House is now seeking feedback on the report. A listening session will take place on June 23. The task force will issue its final report in Nov. 2022.
FEDERAL NEWS NETWORK 
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Self-driving car systems can be tricked into stopping by placing ordinary objects like traffic cones on roadsides, according to researchers at the University of California, Irvine. A team found that specific software in autonomous driving systems is often overly conservative, causing vehicles to stop unnecessarily and obstruct traffic. More: - The team, led by professor Qi Alfred Chen, examined security vulnerabilities in the AV systems' planning module.
- The modules decide when to change lanes, cruise, slow down, or stop and are designed to be very cautious.
- The team developed a testing tool to identify vulnerabilities in Apollo and Autoware, which are two widely used autonomous driving systems.
- They found that placing bicycles or boxes on the roadside prompted vehicles to stop permanently on empty roads.
- The AV systems also did not change lanes when they perceived a threat that didn't exist.
- These behaviors "stand to impact the smooth flow of traffic and the movement of passengers and goods, which can also have a negative impact on businesses and road safety," Chen concluded.
- Their research paper is available here.
CLEAN TECHNICA
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 A message from DATAGEN Synthetic data is gaining more and more traction and its real-world applications are enormous. Different companies in different domains use synthetic data for their own unique use cases: from training to testing models, filling in edge-case gaps and more. This is why we’re happy to collaborate with Meta and Intuitive on our upcoming webinar: Using Synthetic Data to Address Real-World Applications: From the Metaverse to Medical and Automotive - June 16, 2022 - 11 am ET/8 am PT In this webinar, we will host top industry experts who will share their journey with synthetic data using real examples: - Hadas from Datagen will discuss what it means to be data-centric when developing AI-based products for in-cabin automotive
- Ron from Meta Reality Labs will share insights on how Meta is utilizing synthetic data in taking AR/VR to the next level
- Oded from Intuitive will talk about procedural modeling pipelines for generating synthetic data for surgical operations
Register Here
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Google no longer allows deepfake projects on its Colaboratory (Colab) online computing service. Colab updated its terms to ban the training of AI models for deepfakes, including videos where the subject's face is swapped with another's. More: - Google Colab has been a popular platform for even non-coders to create deepfakes.
- However, Colab has quietly added "creating deepfakes" to its list of disallowed actions, according to a recent screenshot.
- It appears that DeepFace Lab (DFL), a popular open-source deepfake generator, has been targeted by the ban. Those who attempt to use it are now given an error message. Another deepfake code, Faceswap, appears to have been spared, though the ban may not have reached it yet.
- Colab provides access to GPUs, tensor processing units, and other free computing resources, which can be beneficial for AI training.
- In its terms, Colab bans "actions that negatively impact others." Reports noted that deepfakes could be used in political propaganda and extortion schemes.
UNITE.AI
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Members of Forbes' Coaches Council shared tips for how business owners can best leverage AI. Here are a few to consider: - Don't leverage AI just to say you did. Find a compelling reason and don't become locked into a solution. — Dhru Beeharilal, Nayan Leadership, LLC
- Find what areas of the businesses would benefit most from AI and then evaluate different platforms to find the best fit. Also, make sure to weigh the risks of AI and implement safeguards. — Peter Boolkah, The Transition Guy
- Use AI to automate tasks that deflate and demotivate employees, leaving the "good stuff" for workers to inspire them and attract more talent. — Erica McCurdy, McCurdy Solutions Group LLC
- Find processes in your business that are repeatable and consistent and replace those with AI and bots. — Jon Dwoskin, The Jon Dwoskin Experience
- Utilize big data and automation to support intelligent decision-making and deliver value to clients. — Andre Shojaie, City of Montreal
FORBES
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 A message from BAIRESDEV 3 Key Processes from a bootstrapped company that gets 1.6M applicants per year - Applicant Getting Process: Without a good volume of applicants, it’s impossible to filter for quality.
- Vetting Process: You want a vetting process that identifies the best talent but that’s also easy and fun.
- Persuasive Offer: Without a good offer and a delightful onboarding process, you won’t convert a candidate into a long-term team member.
At BairesDev we focus on all of this to grow to 4.000+ developers and we offer: ➡️ Remote engineering teams with the Top 1% of LATAM’s IT Talent ✅ Vetted with several tests and 8+ hours of real-life-live coding technical interviews 🌎 100% bilingual & same time zone⏱️ 💬 Excellent communication and mindset … Our pros will feel like your team (or better!) ❤️ Our Customers Love Us (91.2% Satisfaction Score + 70.3 NPS) 💵 100% Risk Free. Pay nothing if you don’t love the first 14 days of your team. Get up to $10,000 off your first contract for Inside Readers. Let’s Talk
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Penny AI, a provider of AI-enabled virtual assistants for sales consultants, announced $27M in Series B funding. The Vancouver-based startup built an AI-driven smart assistant platform, which provides contact management, prospecting, and communications solutions for direct sales consultants and businesses. More: - The platform, a CRM technology, is designed to simplify the customer care cycle.
- For example, it gives sales consultants the names of contacts to reach out to every day and what to pursue.
- Penny AI said its platform supports "hundreds of thousands of sellers" in 25 languages and 60+ countries.
- The startup's latest funding round was led by PSG, with participation from Acronym Venture Capital and ScaleUP Ventures.
- Penny plans to use the funding to hire and expand its platform, insights, and data visualization capabilities.
TECHCOUVER
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Who's hiring in AI: - Software Engineer, AI/ML Product
- Lucid Motors | Newark, Calif.
- Associate Machine Learning Engineer
- Lucasfilm | San Francisco/Hybrid
- Machine Learning / Computer Vision Research Scientist
- Hitachi | Santa Clara, Calif.
- Software Engineer, Search and Machine Learning
- AI/ML — Speech & Vision R&D Engineer, MIND
- Apple | Cupertino, Calif.
- Responsible AI Senior Researcher
- Intel | Santa Clara, Calif., Atlanta, and Hillsboro, Ore.
- Senior Applied Scientist, Computer Vision, AWS AI
- Amazon Dev Center U.S. | Santa Clara, Calif.
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 |  | Beth is a writer and analyst at Inside.com covering artificial intelligence and daily tech news. Since starting work at Inside, she has covered various topics including virtual reality, drones, and e-commerce. Prior to that she was a public policy and investigative reporter for The Arizona Republic, where she won a Pulitzer Prize nomination and First Amendment Award for reporting on the rising costs of pensions. Reach her at Beth.Duckett@inside.com. |   | | Editor | Aaron Crutchfield is based in the high desert of California. Over the last two decades, he has spent time writing and editing at various local newspapers and defense contractors in California. When he's not working, he can often be found looking at the latest memes with his kids or working on his 1962 Ford. | |
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