Still, Stadniuk laments missing what could have been pivotal moments of his professional "Apex Legends" career. GnaskeStrafeDel, his squad with Præstensgaard and Biggins, disbanded after the 2020 championship, but all three were set to come together once more under the GMT Esports banner at the beginning of 2022; the highly anticipated reunion was announced just weeks before the invasion. Stadniuk couldn't attend either the Apex Legends Global Series: Split 2 Playoffs LAN in Stockholm in April or the 2022 Championship in Raleigh, N.C., in July. His team won $13,000 without him at the ReWired Festival 2022 in October in Fayetteville, Arkansas. These three tournaments boasted international competition, million-dollar prize pools and more than 40 teams.

RALEIGH, NC, Oct 12, 2022 – EDJX, the pioneer in decentralized global serverless edge computing, today announced that it has formed a strategic partnership with Zeblok Computational to integrate the capabilities of the EDJX Platform with the Zeblok Ai-MicroCloud, a cloud-native, turnkey ML ops platform that enables businesses to deploy artificial intelligence (AI) applications easily and efficiently to thousands of edge locations at scale. The partnership will provide Zeblok customers access to the EDJX Platform capabilities utilizing EDJX compute, network, and storage resources. Zeblok's Ai-MicroCloud solves the problem of scaling at the edge, making it easy to deploy AI inferences to edge locations. Together the offering is a digital foundation for enterprises, cloud service providers, managed service providers, OEMs and ISVs to execute their AI strategies from Cloud-to-Edge for diverse use cases such as Smart Retail, Industry 4.0, Smart Cities, Smart Transportation and Logistics, and more. EDJX provides a decentralized Operating System EdjOS or the EDJX Platform that makes it possible for developers to build IoT, AI, and M2M applications and have the requisite computations executed as close as possible to the sources of data.

RALEIGH, NC / ACCESSWIRE / August 8, 2022 / 919 Marketing, one of the nation's fastest-growing content marketing agencies, announces the acquisition of ClickCulture, a Raleigh, N.C. -based award-winning web development and digital marketing company. This is the third acquisition by 919 Marketing to boldly expand its roster of technology-focused marketing services to become the full-service marketing leader for emerging and mature franchise brands and non-profit companies. "This exciting new partnership with the team at ClickCulture expands our company to give us more creative firepower and a deeper bench of talent to better serve our clients", says David Chapman, CEO, and founder of 919 Marketing. "We can now elevate our creative capabilities to include custom applications for websites, unique digital campaigns, and elite, award-winning graphic design to help our clients attract more customers and grow their businesses. We have a lot of smart people doing great work and now we have the data-driven creative capabilities needed to truly dominate as the holistic, one-stop solution for nonprofit companies and multi-location and franchise brands."

Professor Michael W. Berry is a Full Professor in the Departments of Electrical Engineering and Computer Science (EECS) and Mathematics at the University of Tennessee, Knoxville. He served as Interim Department Head of Computer Science from January 2004 to June 2007, and as Associate Head in the Department of Electrical Engineering and Computer Science from July 2007 to July 2012. He worked in the Communications Product Division of IBM in Raleigh, NC for about 1 year before accepting a research staff position in the Center for Supercomputing Research and Development at the University of Illinois at Urbana-Champaign. In 1990, he received a PhD in Computer Science from the University of Illinois at Urbana-Champaign. He has published well over 150 peer-refereed journal and conference publications and book chapters.

Last week, the Brookings Institution published an examination of the "extent, location, and concentration" of AI activity in 400 US metro areas, hailing it as the "next great'general purpose technology,'" with the power to spur economic growth. Key takeaways: Although it already feels like AI is everywhere, the tech is still in its early days--and in the US, AI development and commercialization is mega-concentrated in a handful of mostly coastal locales. But, but, but: Brookings also identified 13 other metro areas with "above-average involvement" in AI, including hubs you may have seen coming--New York, Boston, Seattle, Los Angeles, Washington, D.C., San Diego, Austin, Texas, and Raleigh, North Carolina--as well as smaller metro areas like Boulder, Colorado, Lincoln, Nebraska, Santa Cruz, California, Santa Maria-Santa Barbara, California, and Santa Fe, New Mexico. Zoom out: The above 15 metro areas account for two-thirds of AI activity nationwide--and for that matter, more than 50% of the areas Brookings looked at make up just 5% of AI activity, Wired reported.

Millimeter wave vehicular channels exhibit structure that can be exploited for beam alignment with fewer channel measurements compared to exhaustive beam search. With fixed layouts of roadside buildings and regular vehicular moving trajectory, the dominant path directions of channels will likely be among a subset of beam directions instead of distributing randomly over the whole beamspace. In this paper, we propose a deep learning-based technique to design a structured compressed sensing (CS) matrix that is well suited to the underlying channel distribution for mmWave vehicular beam alignment. The proposed approach leverages both sparsity and the particular spatial structure that appears in vehicular channels. We model the compressive channel acquisition by a two-dimensional (2D) convolutional layer followed by dropout. We incorporate the low-resolution phase shifter constraint during neural network training by using projected gradient descent for weight updates. Furthermore, we exploit channel spectral structure to optimize the power allocated for different subcarriers. Simulations indicate that our deep learningbased approach achieves better beam alignment than standard CS techniques which use random phase shift-based design. Numerical experiments also show that one single subcarrier is sufficient to provide necessary information for beam alignment. Millimeter-wave (mmWave) vehicular communication enables massive sensor data sharing and various emerging applications related to safety, traffic efficiency and infotainment [2]-[4]. Yuyang Wang is with Apple Inc., One Apple park way, Cupertino, CA, 95014, USA, email: yuywang@utexas.edu. Nitin Jonathan Myers is with Samsung Semiconductor Inc., 5465 Morehouse Dr, San Diego, CA 92121 USA, email: nitinjmyers@utexas.edu. Nuria González-Prelcic, and Robert W. Heath Jr. are with the Department of Electrical and Computer Engineering, North Carolina State University, 890 Oval Dr, Raleigh, NC 27606 USA, email: {ngprelcic, rwheathjr}@ncsu.edu. Part of this work has been presented at IEEE ICASSP 2020 [1]. This material is based upon work supported in part by the National Science Foundation under Grant No. ECCS-1711702, and by a Qualcomm Faculty Award.

What comes to your mind when you think of "artificial intelligence?" And you are right, sort of. AI is capable of doing all those things, plus it's capable of revolutionizing the business landscape. "For many people, artificial intelligence, or AI, is a mere concept, something that will happen in the future. But, in reality, AI has already become a part of mainstream businesses", says Michael Georgio, CMO of Imaginovation, a Raleigh, N.C.-based AI development company.

Artificial intelligence (AI), Machine Learning (ML) and automation will create more jobs than they eliminate. And the people employed in the new work environment must bring higher thinking skills, as well as social and emotional intelligence as technologists, to their workplaces and positions. In the Technologist Talk podcast series, Charles Eaton, Creating IT Futures CEO and CompTIA's executive vice president for social innovation, has referred to this workforce evolution as becoming "technologists, not just technicians." That was the key message shared by Diya Wynn, global readiness lead at Amazon Web Services Inc., during her breakout session at today's Women In Technology Summit Southeast (WITS) held in Raleigh, North Carolina. WITS is the only technical conference that features all women speakers and has programming specifically designed for women technologists working in technical and non-technical roles.

Matternet CEO Andreas Raptopoulos walks next to an operator carrying a drone used to deliver medical specimens after a flight in March at WakeMed Hospital in Raleigh, N.C. Matternet CEO Andreas Raptopoulos walks next to an operator carrying a drone used to deliver medical specimens after a flight in March at WakeMed Hospital in Raleigh, N.C. Underneath it is a metal box -- smaller than a shoebox -- with vials of blood samples inside of it that are now heading across the campus to the lab for analysis, guided by a drone operator on the ground. "This facility happens to be across a very busy road from our main campus hospital," says Stuart Ginn, an ENT surgeon and medical director of innovations at WakeMed. But when taken by carrier on foot or by car, he says "the logistics of getting those samples across often resulted in about a 45-minute time of delivery."

Diveplane, the company keeping the humanity in artificial intelligence (AI), today announced the availability of GEMINAI, the industry's first verifiable synthetic'twin' dataset. GEMINAI empowers businesses and government organizations to easily and safely sell, share and analyze sensitive datasets without the fear of mishandling, loss or theft. The'twin' dataset looks, acts, and feels realistic for the purposes of data modeling and analysis, but does not contain any personally identifiable information, which is critical for businesses that need to adhere to national and international privacy laws and compliance requirements, like GDPR, PHI and HIPAA. "We love seeing AI increasingly adopted by many industries, but we're finding that not all AI is created and trained equally," said Dr. Michael Capps, CEO of Diveplane. "Many businesses are forced to use inaccurate or incomplete data to train their AI due to privacy requirements, which can lead to the AI making poor or misleading decisions. With GEMINAI, we're eliminating that risk by creating a verifiable synthetic'twin' of the dataset, so that businesses don't need to sacrifice the quality of their AI for the sake of privacy. GEMINAI offers the best of both worlds and we're excited to introduce this first-of-its-kind technology to the market."