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At a virtual event this morning, Meta lifted the curtains on its efforts to develop in-house infrastructure for AI workloads, including generative AI like the type that underpins its recently launched ad design and creation tools.

It was an attempt at a projection of strength from Meta, which historically has been slow to adopt AI-friendly hardware systems — hobbling its ability to keep pace with rivals such as Google and Microsoft.

Building our own [hardware] capabilities gives us control at every layer of the stack, from datacenter design to training frameworks,” Alexis Bjorlin, VP of Infrastructure at Meta, told TechCrunch. “This level of vertical integration is needed to push the boundaries of AI research at scale.”

Dr. Sylvain Moreno is chief executive officer and scientific director of Circle Innovation.

Artificial intelligence (AI) holds great promise in the fight against ageism, and future technologies powered by AI can be a first step to ensure older adults are fully involved in the processes, systems and, ultimately, services that will affect them throughout the aging journey.

Healthcare providers, governments, academia, not-for-profits and businesses can ensure that AI is not only strengthening healthcare for older adults but also empowering them to meet their individual needs.

Artificial intelligence has been around for years, but scarcely has it found itself in conversation as much as it has now. The launch of OpenAI’s ChatGPT rocketed generative AI onto the radar of many people who hadn’t been paying much attention — or didn’t feel it was relevant to their lives. This has included workers, who’ve already been touched by the technology, whether they know it or not.

The chatbot, which uses machine learning to respond to user prompts, is helping workers write cover letters and resumes, generate ideas and even art in the workplace and more. It’s already making a splash in hiring with recruiters, who are finding they need to adapt to the new technology. And as competing companies rush to launch similar tools, the technology will only get stronger and more sophisticated.


The rise of generative AI in the workplace is inevitable. There’s a lot to be excited about it.

Soft robotics have several key advantages over rigid counterparts, including their inherent safety features—soft materials with motions powered by inflating and deflating air chambers can safely be used in fragile environments or in proximity with humans—as well as their flexibility that enables them to fit into tight spaces. Textiles have become a choice material for constructing many types of soft robots, especially wearables, but the traditional “cut and sew” methods of manufacturing have left much to be desired.

Now, researchers at the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) have established a new approach for additively manufacturing , using a 3D knitting method that can holistically “print” entire soft robots. Their work is reported in Advanced Functional Materials.

“The soft robotics community is still in the phase of seeking alternative materials approaches that will enable us to go beyond more classical rigid robot shapes and functions,” says Robert Wood, senior corresponding author on the paper, who is the Harry Lewis and Marlyn McGrath Professor of Engineering and Applied Sciences at SEAS.

The adoption of AI in clinical settings has increased exponentially over the past decade, but AI models still haven’t achieved the level of ubiquity that they could within the sector.

A few years ago, a group of Mayo Clinic researchers recognized this major problem. The health system was producing a huge amount of research on AI in clinical contexts, but it was still having a hard time actually deploying those AI models at scale.

That realization led to the creation of Lucem Health, a platform for clinical AI solution deployment. The North Carolina-based startup, which launched in 2021, closed a $7.7 million Series A funding round last week.

35-year-old Weibao Wang was charged with stealing Apple’s trade secrets for self-driving cars and fleeing to China. Officials say Wang is still at large and if convicted faces ten years in prison for each trade secret violation. NBC News’ Dana Griffin shares the latest.

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