Veeva [NYSE: VEEV] is the leader in cloud-based software for the global life sciences industry. Committed to innovation, product excellence, and customer success, our customers range from the world's largest pharmaceutical companies to emerging biotechs. Veeva's software helps our customers bring medicines and therapies to patients faster. We are the first public company to become a Public Benefit Corporation. As a PBC, we are committed to making the industries we serve more productive, and we are committed to creating high-quality employment opportunities.

An international group of researchers led by the Harvard astronomer who believes the first interstellar object discovered was a'lightsail' from another civilization have announced a new project to search for signs of'extraterrestrial technological civilizations' (ETCs) in space. Known as the Galileo Project, the researchers - led by Harvard astrophysicist Avi Loeb - will use artificial intelligence and look at data from existing and future astronomical surveys and high-resolution telescopes. The project will have three objectives: to search for unidentified aerial phenomena (UAP), other interstellar objects like'Oumuamua and satellites created by ETCs. A new project will search for'extraterrestrial technological civilizations' in space has been announced. Pictured is the famous Tic-Tac footage, which has been previously acknowledged as real by the Navy.

Ms. Kinstler is a doctoral candidate in rhetoric and has previously written about technology and culture. "Alexa, are we humans special among other living things?" One sunny day last June, I sat before my computer screen and posed this question to an Amazon device 800 miles away, in the Seattle home of an artificial intelligence researcher named Shanen Boettcher. But after some cajoling from Mr. Boettcher (Alexa was having trouble accessing a script that he had provided), she revised her response. "I believe that animals have souls, as do plants and even inanimate objects," she said. "But the divine essence of the human soul is what sets the human being above and apart. Mr. Boettcher, a former Microsoft general manager who is now pursuing a Ph.D. in artificial intelligence and spirituality at the University of St. Andrews in Scotland, asked me to rate Alexa's response on a scale from 1 to 7. I gave it a 3 -- I wasn't sure that we humans should be set "above and apart" from other ...

Charging infrastructure is the coupling link between power and transportation networks, thus determining charging station siting is necessary for planning of power and transportation systems. While previous works have either optimized for charging station siting given historic travel behavior, or optimized fleet routing and charging given an assumed placement of the stations, this paper introduces a linear program that optimizes for station siting and macroscopic fleet operations in a joint fashion. Given an electricity retail rate and a set of travel demand requests, the optimization minimizes total cost for an autonomous EV fleet comprising of travel costs, station procurement costs, fleet procurement costs, and electricity costs, including demand charges. Specifically, the optimization returns the number of charging plugs for each charging rate (e.g., Level 2, DC fast charging) at each candidate location, as well as the optimal routing and charging of the fleet. From a case-study of an electric vehicle fleet operating in San Francisco, our results show that, albeit with range limitations, small EVs with low procurement costs and high energy efficiencies are the most cost-effective in terms of total ownership costs. Furthermore, the optimal siting of charging stations is more spatially distributed than the current siting of stations, consisting mainly of high-power Level 2 AC stations (16.8 kW) with a small share of DC fast charging stations and no standard 7.7kW Level 2 stations. Optimal siting reduces the total costs, empty vehicle travel, and peak charging load by up to 10%.

Computational intelligence-based ocean characteristics forecasting applications, such as Significant Wave Height (SWH) prediction, are crucial for avoiding social and economic loss in coastal cities. Compared to the traditional empirical-based or numerical-based forecasting models, "soft computing" approaches, including machine learning and deep learning models, have shown numerous success in recent years. In this paper, we focus on enabling the deep learning model to learn both short-term and long-term spatial-temporal dependencies for SWH prediction. A Wavelet Graph Neural Network (WGNN) approach is proposed to integrate the advantages of wavelet transform and graph neural network. Several parallel graph neural networks are separately trained on wavelet decomposed data, and the reconstruction of each model's prediction forms the final SWH prediction. Experimental results show that the proposed WGNN approach outperforms other models, including the numerical models, the machine learning models, and several deep learning models.

NAHA – The U.S. Marine Corps have held a drill in Japan with orders given in Japanese for the first time, according to the troops, in a move aimed at enhancing their partnership with the Self-Defense Forces. Although it remains unclear whether the Marines will interact in Japanese during actual operations, use of the language in Marine training suggests Washington is attempting to engage Japan's Ground-Self Defense Force in new operations involving remote islands, according to an SDF source. In a Marine exercise on April 29 at an airfield on Ie Island in Okinawa Prefecture, a Marine is confirmed to have directed other members in Japanese to move a rocket and fire it while pointing at a spot on the map. The exercise was part of the Marines' new Expeditionary Advanced Base Operations, or EABO, in which troops practice securing a base for an attack on an island. "We would very much like to increase our partnership and interoperability," said Capt.

The Software Report is pleased to announce The Top 100 Software Companies of 2021. This year's awardee list is comprised of a wide range of companies from the most well-known such as Microsoft, Adobe, and Salesforce to the relatively newer but rapidly growing - Qualtrics, Atlassian, and Asana. A good number of awardees may be new names to some but that should be no surprise given software has always been an industry of startups that seemingly came out of nowhere to create and dominate a new space. Software has become the backbone of our economy. From large enterprises to small businesses, most all rely on software whether for accounting, marketing, sales, supply chain, or a myriad of other functions. Software has become the dominant industry of our time and as such, we place a significance on highlighting the best companies leading the industry forward. The following awardees were nominated and selected based on a thorough evaluation process. Among the key criteria considered were ...

As the Chemistry-Kayak (affectionately known as the ChemYak) swept over the Arctic estuary waters, Victoria Preston was glued to a monitor in a boat nearby, watching as the robot's sensors captured new data. She and her team had spent weeks preparing for this deployment. With only a week to work on-site, they were making use of the long summer days to collect thousands of observations of a hypothesized chemical anomaly associated with the annual ice-cover retreat. The robot moved up and down the stream, using its chemical sensors to detect the composition of the flowing water. Its many measurements revealed a short-lived but massive influx of greenhouse gases in the water during the annual "flushing" of the estuary as ice thawed and receded.

As part of the lead-up to Transform 2021 coming up July 12-16, we're excited to put a spotlight on some of our conference speakers who are leading impactful diversity, equity, and inclusion initiatives in AI and data. We were lucky to land a conversation with Huma Abidi, senior director of AI software products and engineering at Intel. She spoke about her DE&I work in her private life, including her support for STEM education for girls in the U.S. and all over the world, founding the Women in Machine Learning group at Intel, and more. HA: This one is easy. I lead a globally diverse team of engineers and technologists responsible for delivering world-class products that enable customers to create AI solutions.