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AI imaging software generates a gallery of stereotypes, say Univ. of Washington researchers

BOT or NOT?


If you’re asked to imagine a person from North America or a woman from Venezuela, what do they look like? If you give an AI-powered imaging program the same prompts, odds are the software will generate stereotypical responses.

A “person” will usually be male and light-skinned.

A woman from Latin American countries will more often be sexualized than European and Asian women.

Former Google CEO Eric Schmidt: AI guardrails “aren’t enough”

Guardrails AI companies add to their products to prevent them from causing harm “aren’t enough” to control AI capabilities that could endanger humanity within five to ten years, former Google CEO Eric Schmidt told Axios’ Mike Allen on Tuesday.

The big picture: Interviewed at Axios’ AI+ Summit in Washington, D.C., Schmidt compared the development of AI to the introduction of nuclear weapons at the end of the Second World War.

AI won’t steal your job—but it might cut your paycheck, Europe’s central bank says

Since the explosive launch of ChatGPT, there has been a prevailing fear among workers that they will be unable to compete against artificial intelligence, leading to mass unemployment.


In fact, the European Central Bank’s research predicted that AI will actually create jobs and that any reports suggesting otherwise “may be greatly exaggerated”

After assessing nine years of data gathered across 16 European countries, the ECB found that low and medium-skill jobs were largely unaffected by booming technology, meanwhile, opportunities for younger and high-skilled workers actually increased rather than vanished.

Amazon’s Q AI assistant lets users ask questions about their company’s data

Amazon Q, currently available for contact centers, will be integrated to other AWS services soon.

Amazon’s cloud business AWS launched a chat tool called Amazon Q, where businesses can ask questions specific to their companies.


Amazon Q can work with any of the models found on Amazon Bedrock, AWS’s repository of AI models, which includes Meta’s Llama 2 and Anthropic’s Claude 2. The company said customers who use Q often choose which model works best for them; connect to the Bedrock API for the model; use that to learn their data, policies, and workflow; and then deploy Amazon Q.

AWS said Amazon Q was trained on 17 years’ worth of AWS knowledge and can be used to ask questions specific to AWS use. It can suggest the best AWS services for a project.

Currently, Amazon Q is available only for users of Amazon Connect, AWS’s service for contact centers. Eventually, it will be available on other services like Amazon Supply Chain, which helps customers track their supply chain management, and Amazon QuickSight, its platform for business intelligence. Amazon Q for supply chain and business intelligence is available on preview.

AI Video Startup HeyGen Launches Near-Instant Avatar Generator, Adds $5.6 Million In Funding

Former Snap software engineer Joshua Xu believes AI-generated video is about to have a moment like Snapchat or Instagram had in the early days of the mobile photography revolution.


As early proof of that, he points to his own company HeyGen. After launching its AI-powered video creation app last September, HeyGen reached $1 million in annual recurring revenue in March, then $10 million in August. Today, that number is up to $18 million, Xu, cofounder and CEO, told Forbes.

“Snapchat is a camera company where everyone creates content through the mobile camera,” Xu said. “We think AI can create the content. AI could become the new camera.”

On Wednesday, HeyGen announced $5.6 million in new venture capital funding led by Sarah Guo’s Conviction Partners. The round values the Los Angeles-based company at $75 million; As part of the deal, Guo will take a board seat in place of HongShan (formerly Sequoia China) as HeyGen takes measures to distance itself from its Chinese origins.

Quantum Computing Is Coming Faster Than You Think

It seems for every proponent for quantum computing there is also a detractor.


Given the amount of quantum computing investment, advancements, and activity, the industry is set for a dynamic change, similar to that caused by AI – increased performance, functionality, and intelligence. This also comes with the same challenges presented by AI, such as security, as outlined in the recent Quantum Safe Cryptography article. But just like AI, quantum computing is coming. You might say that quantum computing is where AI was in 2015, fascinating but not widely utilized. Fast forward just five years and AI was being integrated into almost every platform and application. In just five years, quantum computing could take computing and humanity to a new level of knowledge and understanding.

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The author and members of the Tirias Research staff do not hold equity positions in any of the companies mentioned. Tirias Research tracks and consults for companies throughout the electronics ecosystem from semiconductors to systems and sensors to the cloud. Tirias Research has consulted for IBM, Intel Microsoft, Nvidia, Toshiba, and companies throughout the quantum computing ecosystem.

Navigating advanced technology transitions: using lessons from nanotechnology

As researchers, developers, policymakers and others grapple with navigating socially beneficial advanced technology transitions — especially those associated with artificial intelligence, DNA-based technologies, and quantum technologies — there are valuable lessons to be drawn from nanotechnology. These lessons underscore an urgent need to foster collaboration, engagement and partnerships across disciplines and sectors, together with bringing together people, communities, and organizations with diverse expertise, as they work together to realize the long-term benefits of transformative technologies.