During an Inside the Lab: Building for the metaverse with AI livestream event on Wednesday, Meta CEO Mark Zuckerberg didn't just expound on his company's unblinking vision for the future, dubbed the Metaverse. He also revealed that Meta's research division is working on a universal speech translation system that could streamline users' interactions with AI within the company's digital universe. "The big goal here is to build a universal model that can incorporate knowledge across all modalities... all the information that is captured through rich sensors," Zuckerberg said. "This will enable a vast scale of predictions, decisions, and generation as well as whole new architectures training methods and algorithms that can learn from a vast and diverse range of different inputs." Zuckerberg noted that Facebook has continually striven to develop technologies that enable more people worldwide to access the internet and is confident that those efforts will translate to the Metaverse as well.

This paper studies the problem of matching two complete graphs with edge weights correlated through latent geometries, extending a recent line of research on random graph matching with independent edge weights to geometric models. Specifically, given a random permutation $\pi^*$ on $[n]$ and $n$ iid pairs of correlated Gaussian vectors $\{X_{\pi^*(i)}, Y_i\}$ in $\mathbb{R}^d$ with noise parameter $\sigma$, the edge weights are given by $A_{ij}=\kappa(X_i,X_j)$ and $B_{ij}=\kappa(Y_i,Y_j)$ for some link function $\kappa$. The goal is to recover the hidden vertex correspondence $\pi^*$ based on the observation of $A$ and $B$. We focus on the dot-product model with $\kappa(x,y)=\langle x, y \rangle$ and Euclidean distance model with $\kappa(x,y)=\|x-y\|^2$, in the low-dimensional regime of $d=o(\log n)$ wherein the underlying geometric structures are most evident. We derive an approximate maximum likelihood estimator, which provably achieves, with high probability, perfect recovery of $\pi^*$ when $\sigma=o(n^{-2/d})$ and almost perfect recovery with a vanishing fraction of errors when $\sigma=o(n^{-1/d})$. Furthermore, these conditions are shown to be information-theoretically optimal even when the latent coordinates $\{X_i\}$ and $\{Y_i\}$ are observed, complementing the recent results of [DCK19] and [KNW22] in geometric models of the planted bipartite matching problem. As a side discovery, we show that the celebrated spectral algorithm of [Ume88] emerges as a further approximation to the maximum likelihood in the geometric model.

Artificial Intelligence (AI), is a societal buzzword that now crosses every area of human experience. Whether it is our leisure activities, our medical interventions, our banking transactions or our shopping pursuits, AI is now pivotal to the way in which we conduct our personal lives. This phenomenon has not emerged haphazardly, but is a trajectory that has ensued from the benefits that business has enjoyed from its use, and one that now every area of commerce needs to employ, and maintain, in order to enjoy any success. According to IBM, 65 percent of all organisations will have accelerated the use of digital technologies by 2022 and more than 85 percent of advanced adopters are reducing operating costs. Artificial Intelligence is here to stay.

The United States Navy announced the launch of a new joint fleet of unmanned drones in the Middle East with allied nations to patrol vast swaths of volatile waters as tensions simmer with Iran. Vice Admiral Brad Cooper, who leads the 5th Fleet, said 100 unmanned drones, both sailing and submersible, would dramatically multiply the surveillance capacities of the US Navy, allowing it to keep a close eye on waters critical to the flow of global oil and shipping. Trade at sea has been targeted in recent years as Tehran's nuclear deal with world powers collapsed. "By using unmanned systems, we can just simply see more. They're high reliability and remove the human factor," Cooper said on the sidelines of a defence exhibition in Abu Dhabi, adding the systems are "the only way to cover on whatever gaps that we have today".

The graph represents a network of 1,214 Twitter users whose tweets in the requested range contained "#FinServ", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Sunday, 20 February 2022 at 02:41 UTC. The requested start date was Sunday, 20 February 2022 at 01:01 UTC and the maximum number of days (going backward) was 14. The maximum number of tweets collected was 7,500. The tweets in the network were tweeted over the 2-day, 21-hour, 13-minute period from Thursday, 17 February 2022 at 03:16 UTC to Sunday, 20 February 2022 at 00:30 UTC.

What Women CEOs in Africa Need to Know about Artificial Intelligence (AI) is an unprecedented convening of the CEOs of leading African corporations, designed to provide a one-stop intensive primer on AI at a strategic business level for large African corporates. The summit has been conceptualized as a collaboration between Africa.com's Artificial Intelligence (AI), enables machines to exhibit human-like cognition. AI is leading the next wave of digital disruption across businesses globally. As Africa moves forward in the business and tech worlds shaped and accelerated by COVID, this summit examines where Africa is headed in its use of AI, and how AI may provide a platform for Africa to leapfrog in strategic realms.

There's a strand of thinking, from sci-fi films to Stephen Hawking that suggests artificial intelligence (AI) could spell doom for humans. But conservationists are increasingly turning to AI as an innovative tech solution to tackle the biodiversity crisis and mitigate climate change. From camera trap and satellite images to audio recordings, the report notes: "AI can learn how to identify which photos out of thousands contain rare species; or pinpoint an animal call out of hours of field recordings – hugely reducing the manual labour required to collect vital conservation data." AI is helping to protect species as diverse as humpback whales, koalas and snow leopards, supporting the work of scientists, researchers and rangers in vital tasks, from anti-poaching patrols to monitoring species. With machine learning (ML) computer systems that use algorithms and models to learn, understand and adapt, AI is often able to do the job of hundreds of people, getting faster, cheaper and more effective results.

Technology is improving every aspect of a business today. As a result, many organizations from various sectors are improving their digital transformation efforts. One way they do so is by including innovative AI solutions. AI is simply artificial intelligence. Neither would it destroy it.

Using'smart screws' and artificial intelligence, doctors in the UAE have successfully lengthened an Emirati man's leg. The rare, intricate operation is the first of its kind to be performed in the Middle East. The 25-year-old man had been suffering from a congenital defect, due to which his right leg was 9cm shorter than his left. The imbalance affected his pelvic region, causing severe lower back pain. Dr Bilal Al Yafoui, head of the Orthopaedics and Trauma Department at Rashid Hospital, performed the operation.

Now, we trust the complex processes underlying artificial intelligence (AI) with everything from navigation to movie recommendations to targeted advertising. Can we also trust machine learning with our health care? The integration of AI and cancer care was a popular topic in 2021, as evidenced by prominent sessions at two of last year's AACR conferences: the 14th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved, held virtually October 6-8, 2021, and the San Antonio Breast Cancer Symposium (SABCS), held in a hybrid format December 7-10, 2021. During these sessions, experts gave an overview of how machine learning works, shared data on new applications of AI technologies, and emphasized important considerations for making algorithms equitable. Recognizing that a diverse audience of breast cancer clinicians and researchers may have questions about the fundamentals of AI, the SABCS session "Artificial Intelligence: Beyond the Soundbites" opened with a talk titled, "Everything You Always Wanted to Know About AI But Were Afraid to Ask," presented by Regina Barzilay, PhD, the AI faculty lead at the Jameel Clinic of the Massachusetts Institute of Technology.