NEW YORK, NY, Nov. 17, 2022 (GLOBE NEWSWIRE) -- Dataiku, the platform for Everyday AI, today announced Ben Taylor's appointment as its first Chief AI Strategist. Taylor, a visionary in the advancements of AI, machine learning, and data science, joins the company to help accelerate momentum as it continues to experience soaring demand amongst enterprise organizations and business users. "A simple truth we face is that AI will be part of every business, whether you like it or not. The only question is whether you want to be a leader or a laggard," said Taylor. "However, the technology itself is nothing without people asking the right questions and bringing what makes us intrinsically human to AI. "This is what makes Dataiku truly special - the company is not just about the technical aspects of its solid AI platform but is centered around collaboration and the people who create the types of jaw-dropping projects I hope to be a part of.

In a study published in Nature Communication recently, a team led by Prof. BI Guoqiang from the University of Science and Technology of China (USTC) and Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences (CAS), together with collaborators from the United States, developed a software package named IsoNet for the isotropic reconstruction for cryogenic electron tomography (cryoET). Their work effectively solved the intrinsic "missing-wedge" problem and low signal-to-noise ratio problems in cryoET. Anisotropic resolution caused by the intrinsic "missing-wedge" problem has long been a challenge when using CryoET for the visualization of cellular structures. To solve this, the team developed IsoNet, a software package based on iterative self-supervised deep learning artificial neural network. Using the rotated cryoET tomographic 3D reconstruction data as the training set, their algorithm is able to perform missing-edge correction on the cryoET data. Simultaneously, a denoising process is added to the IsoNet, allowing the artificial neural network to recover missing information and denoise tomographic 3D data simultaneously.

TAMPERE, Finland--(BUSINESS WIRE)--Tampere, one of Finland's largest cities, is the first in Europe to introduce the Liveable Well-Being City indicators, which Japan uses to measure well-being factors from the perspective of residents in its 27 cities. The indicators will provide important information to support knowledge management on the state of the urban environment, the quality of services and the well-being of citizens. The co-operation between Tampere and Japan will start with the application of the indicators developed in co-operation between Smart City Institute Japan and several research institutes and universities. The model utilises both objective and subjective data collected from urban residents to improve well-being and streamline everyday life. The data is an important foundation for knowledge management: it enables cities to identify their success points and development needs from the residents' perspective.

NEW YORK--(BUSINESS WIRE)--While the majority of organizations that use artificial intelligence (AI) are still experimenting with the technology, only 12% are using it at an AI maturity level that achieves a strong competitive advantage, according to new global research from Accenture (NYSE: ACN). "The Art of AI Maturity: Advancing from Practice to Performance" uncovers strategies for AI success through a holistic framework, which includes a new index to express company AI maturity on a 0-100 scale. According to the research, AI maturity is the degree to which organizations outperform their peers in a combination of AI-related foundational and differentiating capabilities. These capabilities include the technology -- data, AI, cloud -- as well as organizational strategy, Responsible AI, C-suite sponsorship, talent and culture. The research puts the median AI maturity of organizations at a moderate score of 36, revealing most companies have significant opportunities to generate greater value with AI.

AMSTERDAM – Stellantis N.V. and aiMotive, a leading developer of advanced artificial intelligence and autonomous driving software, today announced that they have entered into an agreement for Stellantis to acquire aiMotive. This acquisition enhances Stellantis' artificial intelligence and autonomous driving core technology, expands its global talent pool, and boosts the mid-term development of the all-new STLA AutoDrive platform. "Acquiring aiMotive's world-class artificial intelligence and autonomous driving technology is an important contribution to becoming a sustainable mobility tech company," said Yves Bonnefont, Stellantis Chief Software Officer. "aiMotive's class-leading expertise and startup spirit will accelerate our journey to deliver our Dare Forward 2030 goals." Stellantis' software teams are already developing the three all-new technology platforms (STLA Brain, STLA SmartCockpit, STLA AutoDrive) that will be deployed at scale across the four all-new STLA vehicle platforms (STLA Small, STLA Medium, STLA Large, STLA Frame), starting in 2024. The software strategy, as announced during Stellantis' Software Day in December 2021, is expected to generate approximately €20 billion in incremental annual revenues by the end of the decade, as part of the Dare Forward 2030 strategic plan bold objectives, backed by more than a €30 billion* investment in electrification and software.

Lyft customers know it as the bright-pink app to tap when they need a car ride or to rent a bike or scooter. Today the company announced it wants to be the place to go to care for your own car. Lyft's app will offer a way to find and reserve parking in 16 cities, summon roadside assistance, and schedule vehicle maintenance. Adding those new services is a small step for an app but part of a much bigger shift in ride hailing. As Lyft and its larger competitor Uber search for a way to finally generate a profit, some visions they once espoused for the future have been tweaked, if not left on the side of the road.

TuSimple Holdings Inc. co-founder Mo Chen has taken control of the self-driving trucking company as federal authorities continue to investigate TuSimple's relationship with Mr. Chen's other startup, a Chinese hydrogen-trucking company. A TuSimple filing with the Securities and Exchange Commission on Wednesday shows that Mr. Chen has 59% of the voting power at the San Diego-based company, giving him control as of Nov. 9, a day before the company announced it had ousted its board of directors. Mr. Chen acquired the stake through stock purchases using his family trust and British Virgin Islands-based entities, according to the securities filing. TuSimple's newly appointed chief executive officer, Cheng Lu, said, "We have a strong sense of urgency to put our company back on track and regain trust from all stakeholders." A weekly digest of tech reviews, headlines, columns and your questions answered by WSJ's Personal Tech gurus.

Microblink, a global leader in AI-powered computer vision technology, has been listed as one of the fastest growing companies on the prestigious Deloitte's Technology Fast 500 list. Microblink's exponential growth rate of 284 percent is attributed to its enterprise-ready AI solutions and best-in-class user experience born of a culture of curiosity and a fearless team. Recognized for the third time, Microblink's technology leverages Artificial Intelligence and Machine Learning to generate solutions for its two business segments; Identity and Commerce. The identity product portfolio encompasses solutions for ID scanning, identity document verification and identity verification to improve the customer onboarding experience. For commerce businesses, they are developing solutions that create magical shopping experiences while using purchasing data to empower retailers and CPGs.

BOCA RATON, Fla., Nov. 15, 2022 (GLOBE NEWSWIRE) -- Totaligent, Inc. ("Totaligent" or "the Company") (OTCPK: TGNT) announces it has completed testing of its scalable Nvidia clusters and has started to build a super cluster, with 2.4 Terabytes of GPU ram and 18 Terabytes of system ram. Totaligent's new supercomputer will allow the Company's Artificial Intelligence to deliver nearly instantaneous data processing and modeling for its person-based digital marketing platform. "Having the power and speed to deliver near real-time results when building target audiences from billions of records for customers is critical to Totaligent's success and acceptance in the person-based digital marketing world. Now, when we append large datasets that used to take days to process, our AI completes the task in about a minute. The combination of data, speed, and a complete set of easy-to-use marketing tools, at an affordable price, will enable Totaligent to provide unparalleled results for its users upon the launch of its integrated digital platform," stated Ted DeFeudis, CEO.

On November 14th 2022, MeetKai, the LA-based AI and metaverse company held an extraordinary meeting with Kura Kura Bali, within the 17th G20 Heads of State and Government Summit, taking place in Bali this year. In an agreement between MeetKai Inc. and the CEO of PT Bali Turtle Island Development, Aaron Tham, the tech startup agreed to establish an R&D product development center in Kura Kura Bali focusing on software development and data science, as well as metaverse, AI and VR services. As hinted in their August New York metaverse launch, where a hyper-realistic anamorphic animation of Bali boasted "A Better Metaverse is Coming" in the middle of Times Square, MeetKai intends to "bring an inclusive metaverse to life", where wonders of the real world become accessible to everyone, everywhere. This Monday, MeetKai Co-Founders, serial entrepreneur Weili Dai, and CEO James Kaplan, agreed to contribute e-learning technology and training to support education in Bali. The company intends to support UID Bali Campus with connection and capacity building, subject expert matter, and synergy for events taking place in Kura Kura Bali; and most importantly, to contribute to their training data scientist programme by assuring cloud platform capacity and other machine learning skills to develop and strengthen the human resources skills in data science.