Dover, DE, Sept. 21, 2022 (GLOBE NEWSWIRE) -- Metatron Inc. (OTC Pink: MRNJ), a mobile and web technology pioneer having developed over 2,000 apps on iTunes and Google Play, is pleased to announce that the Company has signed final agreement paperwork with Geek Labs Limited to complete Metatron's first acquisition of artificial intelligence technology. The acquisition was successfully negotiated by the two parties over the course of this past week. The acquisition will be a non-dilutive cash purchase and comes with immediate revenue-generating potential for Metatron. Furthermore, this technology acquisition is a wholly owned asset within the quickly growing $450 billion AI industry and can immediately be added to Metatron's corporate bottom line. CEO Joe Riehl commented: "One week ago we formally announced the formation of Metatron's Artificial Intelligence Division. Today we are announcing that we've inked a deal to complete our first AI tech acquisition. I want to send a crystal-clear message to our valued stakeholders that Metatron is entering a new chapter and taking fast steps to add impressive value for our investors. We already have our eye on a second acquisition and talks with the seller are at the midway point. Furthermore, our new AI division has begun planning projects with talented developers operating within the AI sector to build proprietary Metatron AI technology for use in specialty applications. Our new AI division also has begun performing due diligence on strategic AI patents that our team believes could be used in developing new technology and/or holding big tech companies accountable as more and more AI applications come into use."

While such provisions in the directive could make businesses "unhappy", Sarah Cameron, technology legal director at law firm Pinsent Masons, said the rules helped clarify liability for AI-enabled products for consumers and businesses alike.

WIRE)--Velodyne Lidar, Inc. (Nasdaq: VLDR, VLDRW) today announced a multi-year agreement to provide its lidar sensors to Stanley Robotics for an automated valet parking solution. The innovative service uses autonomous handling robots to help car parks to improve the customer experience and increase the number of vehicles that can be stored. Stanley Robotics is working with Velodyne's Puck and Velarray M1600 lidar sensors to provide perception and navigation capabilities that enable its all-electric Stan robot to operate autonomously and safely. The sensors provide real-time 3D perception data for localization, mapping, object classification and object tracking. Velodyne's power-efficient sensors support Stan robots in a wide range of challenging environmental conditions, including varied temperature, lighting and precipitation.

Since April, DALL-E has triggered an explosion of images generated using artificial intelligence. But the technology is spreading faster than creators can shape norms around its use.

There are huge volumes of child sexual abuse photos and videos online--millions of pieces are removed from the web every year. These illegal images are often found on social media websites, image hosting services, dark web forums, and legal pornography websites. Now a new tool on one of the biggest pornography websites is trying to interrupt people as they search for child sexual abuse material and redirect them to a service where they can get help. Since March this year, each time someone has searched for a word or phrase that could be related to child sexual abuse material (also known as CSAM) on Pornhub's UK website, a chatbot has appeared and interrupted their attempted search, asking them whether they want to get help with the behavior they're showing. During the first 30 days of the system's trial, users triggered the chatbot 173,904 times.

For new participants - Executive summary: (1) The task is to develop a voice anonymization system for speech data which conceals the speaker's voice identity while protecting linguistic content, paralinguistic attributes, intelligibility and naturalness. (2) Training, development and evaluation datasets are provided in addition to 3 different baseline anonymization systems, evaluation scripts, and metrics. Participants apply their developed anonymization systems, run evaluation scripts and submit objective evaluation results and anonymized speech data to the organizers. (3) Results will be presented at a workshop held in conjunction with INTERSPEECH 2022 to which all participants are invited to present their challenge systems and to submit additional workshop papers. For readers familiar with the VoicePrivacy Challenge - Changes w.r.t. 2020: (1) A stronger, semi-informed attack model in the form of an automatic speaker verification (ASV) system trained on anonymized (per-utterance) speech data. (2) Complementary metrics comprising the equal error rate (EER) as a privacy metric, the word error rate (WER) as a primary utility metric, and the pitch correlation and gain of voice distinctiveness as secondary utility metrics. (3) A new ranking policy based upon a set of minimum target privacy requirements.

The recent developments of artificial intelligence increase its capability for the creation of arts in both largely autonomous and collaborative contexts. In both contexts, Ai aims to imitate, combine, and extend existing artistic styles, and can transform creative practices. In our ongoing research, we investigate such Creative-Ai from sustainability and ethical perspectives. The two main focus areas are understanding the environmental sustainability aspects (material, practices) in the context of artistic processes that involve Creative-Ai, and ethical issues related to who gets to be involved in the creation process (power, authorship, ownership). This paper provides an outline of our ongoing research in these two directions. We will present our interdisciplinary approach, which combines interviews, workshops, online ethnography, and energy measurements, to address our research questions: How is Creative-Ai currently used by artist communities, and which future applications do artists imagine? When Ai is applied to creating art, how might it impact the economy and environment? And, how can answers to these questions guide requirements for intellectual property regimes for Creative-Ai?

By now, you've likely tried out one of the new AI-based image generation tools, which'sample' a range of image repository websites and online references to create all new visuals based on text prompts. DALL·E is the most well-known of these new apps, while Midjourney has also become popular in recent months, enabling users to create some startling visual artworks, with virtually no effort at all. Right now, it seems that you can – though there are some provisos to consider. "Subject to your compliance with these terms and our Content Policy, you may use Generations for any legal purpose, including for commercial use. This means you may sell your rights to the Generations you create, incorporate them into works such as books, websites, and presentations, and otherwise commercialize them."

Just as artificial intelligence has improved the decisions organizations make to optimize financial performance, improve processes, meet customer needs, and more, it will be critical in helping them reach their climate goals. In fact, because it can gather, complete, and interpret large, complex datasets on emissions and climate impact, A.I. is fundamentally important in helping to manage the full range of climate-related issues. BCG recently conducted a global survey of 1,000 leaders in A.I. and climate that tells us more about that potential--as well as the barriers getting in the way. We found that 87% of respondents feel that advanced analytics and A.I., or simply "A.I.," is a helpful tool in the fight against climate change today, but only 43% say that they have a vision for using A.I. in their own climate change efforts. Approximately 87% of respondents to a BCG survey found A.I. is a helpful tool in the fight against climate change.

This concentration features a multi-disciplinary curriculum that draws on insights from computer science, statistics, and business management. You will learn the statistical and computational methods for collecting, storing, and processing data; identifying patterns in large data sets; predicting and interpreting the findings; and making data-driven decisions. Developing additional skills will make you especially attractive to employers, and enable you to tap into more than one job market. Areas of study include actuarial science, marketing, quantitative risk analysis, law, and business. This concentration will prepare to use text mining, machine learning, and A.I. to detect patterns, predict outcomes, and derive insights related to regulation, compliance, litigation, and transactional law.