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EY announces winners of EY NextWave Global Data Science Challenge launched to connect STEM students worldwide

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EY today announces the launch of the initiative to connect Science, Technology, Engineering and Mathematics (STEM) students worldwide, with the winners of the first EY NextWave Global Data Science Challenge.

The Challenge provides STEM students with the opportunity to analyze real-world problems through data and develop initiatives that will help build a better working world. Top participants received an EY Badge, recognizing their knowledge and skills in data science. The EY Badges program supports EY people in shaping their own careers by earning credentials in skills that differentiate them in the market, such as data analytics or artificial intelligence (AI).

For this year’s Challenge, the students used real-world data from Skyhook, a pioneer in location technology, to help tackle the task of smart mobility in cities as the urban population rises across the globe. Future challenges will continue to mirror the EY focus on building a better working world for all people, clients and communities.

The EY NextWave Global Data Science Challenge attracted more than 4,500 students from nearly 500 universities. A judging panel comprised of EY leadership and data science professionals assessed in-person presentations of more than 50 of the top performing teams in the competition. The three global winners were chosen among those who combined the best results with in-depth insights and contributions to building a better working world. Of the 12,000 entries received, the 2019 EY NextWave Data Science Challenge winners are:

First placeSergio Banchero. Sergio is from Argentina, pursuing his Master’s degree in Data Science at the University of Western Australia in Perth. Sergio analyzed the data created by devices as they moved from the city center to the city border. He created models that could be used for real-time decision making, such as identifying issues in transportation networks; identifying blocked roads and the impact on city traffic; and identifying common travel patterns to extend and enhance the public transportation network.

Second placeKatherine Edgley and Philipp Barthelme. Katherine is from the US and is pursuing her Master’s degree in Computational Applied Mathematics at the University of Edinburgh; Philipp is from Germany and is pursuing his Master’s degree in Statistics with Data Science at the University of Edinburgh. Katherine and Philipp used recurrent neural networks – which use sequential formation to make predictions – to create models that could provide companies and people with optimal traffic routes and parking, for example.

Third place: Chia Yew Ken. Chia is from Singapore and is currently pursuing an Engineering Bachelor’s degree in Information Systems Technology and Design with a specialization in Artificial Intelligence at the Singapore University of Technology and Design. Chia used long-short-term-memory (LSTM), a special form of recurrent neural networks that can retain memory over long periods of time and are used to classify, process and make predictions. Chia developed models that could be used to identify over-crowded roads and intersections, reschedule traffic or schedule road work.

Future for the EY NextWave Data Science Challenge

Moving forward, EY teams are implementing an enhanced EY NextWave Data Science Challenge that deepens their relationship with students and will enable students to participate in potentially world-transforming initiatives and earn EY Badges.

The new program will publish challenges on an ongoing basis and students will achieve EY Badges by solving the issues and participating in innovative crowdsourcing initiatives. For example, an online marketplace and a discussion board will help students connect and create inclusive, global teams to tackle the challenges. University faculty can also create challenges to motivate students with real-world issues, either as an assignment or to propose competitions to the global community of students.

Beatriz Sanz Saiz, EY Global Advisory Data Analytics Leader, says:

“Our goal is to mobilize millions of students worldwide through this network, so that they contribute, together with EY teams, to build a better working world, with a sense of purpose, belonging and reciprocity as they develop their skills in data science. The EY NextWave Data Science Challenge connects students with academic leaders, industry professionals and real-world challenges to foster future career development. We are proud of today’s EY NextWave Data Science Challenge winners, who have demonstrated innovative approaches to creating smarter cities and improving mobility. We hope that their projects, and the new Challenge we’re announcing today, will inspire even more students to embark on STEM careers.”

Artificial Intelligence

Siri Co-Founder Tom Gruber Joins Sherpa.ai as Strategic Advisor

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Sherpa.ai, one of the leading companies in predictive Digital Assistants and Artificial Intelligence, has announced today that Tom Gruber, co-founder and CTO of Siri, is joining the company as Strategic Advisor. Gruber will work with the Sherpa.ai team as they develop new AI-based features. As part of the agreement, Sherpa.ai is the only Digital Assistant company that he is advising.

Gruber’s incorporation implies a significant milestone for the Basque company, as he is considered to be one of the top experts in Artificial Intelligence and digital assistants, worldwide.

“The arrival of Tom Gruber to our company makes it clear that we are at the global forefront, in terms of Artificial Intelligence and digital assistants,” said Xabi Uribe-Etxebarria, founder and CEO of Sherpa.ai. “Sherpa’s mission is to augment and accelerate human potential through the application of personal AI and Tom’s experience and outlook are perfectly aligned with that mission.”

“I visited the company headquarters in Bilbao and I was impressed with their Artificial Intelligence technology. Among the Digital Assistant companies that I have seen, I am most excited by the Sherpa.ai product and team, that’s why I decided to join them,” added Tom Gruber.

Tom Gruber is a researcher, designer, and entrepreneur, with a focus on technology to augment human intelligence and well being. He was the co-founder and CTO of the team that created Siri, which was acquired by Apple in 2010. At Apple for over 8 years, Tom led the Advanced Development Group that designed and prototyped new capabilities for Siri and related products that bring intelligence to the interface.

Throughout his career, Gruber has applied Artificial Intelligence technology to support individual and collective human knowledge. He founded companies to support human collaboration and knowledge sharing, and his research at Stanford University laid the groundwork for the exchange of semantic information sharing and the Semantic Web.

Gruber will advise Sherpa.ai in the development the next of generation of digital assistant features, such as predictive and proactive personalization.

Sherpa.ai offers a white-label digital assistant, in relationships with major automobile manufacturers and telcos. It recently closed a $15 million round of financing to accelerate its growth.

Recently, Sherpa.ai launched important new products, like the Sherpa.ai Conversational OS platform, which allows the digital assistant technology to be integrated into any device, and the Sherpa.ai Predictive and Recommending Engine,through which companies can equip any product with predictive technology.

Additionally, in April, the company presented Sherpa News, a free news application based on Artificial Intelligence, available for Android and iOS, which completes the catalog of mobile applications, alongside Sherpa Assistant, the digital assistant that has been downloaded millions of times since its launch.

 

SOURCE Sherpa.ai

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Artificial Intelligence

Xpeng G3 achieves highest score among EVs in China’s latest C-NCAP safety test

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The Xpeng G3 2019 version obtained the highest total score of 92.2% among electric vehicles in the latest China New Car Assessment Program (C-NCAP) safety test, according to official results announced on 13 July.

The G3 smart EV SUV achieved a 5-star standard safety rating, and was among the first batch of new energy vehicles received 5-star rating by C-NCAP after it released new rules in line with international standards. C-NCAP released the new version of its regulations in 2018, adding safety evaluation standards for pure electric vehicles, and performance evaluations for active safety functions.

According to the official C-NCAP results, the G3 received 96.50% in passenger safety and 94.09% in active safety, both the highest rankings among electric vehicles in this latest safety evaluation by the Chinese authority.

In C-NCAP’s most stringent 64-kilometer offset collision, the G3 received the highest score of 19.758 among all types of vehicles. In addition, the G3’s active safety system has gone through over 3,000 hours of data acquisition. The road test for its automatic emergency braking function recorded zero malfunctions in every 150,000 km.

“The C-NCAP results are a strong endorsement of Xpeng’s in-house R&D, safety design and quality control capability,” said Xpeng Motors Chairman & CEO He Xiaopeng. “The new C-NCAP regulations are the most stringent yet for EVs, but the G3 has matched or exceeded these standards, rating it the safest electric vehicle in the China market.”

The G3’s comprehensive active and passive safety features are supported by its strong body architecture, with 70% of the vehicle body made of high-strength steel (including 6.7% ultra-high strength steel and 1500MPa 7.5% thermoformed steel), creating a rigid safety cage to withstand collisions from different directions. This architecture can quickly disperse collision forces through various nodes, effectively reducing locally concentrated force to help prevent the vehicle body crumpling in a collision.

During the R&D phase, Xpeng conducted five rounds of safety tests on the G3, including 63 vehicle collisions and 40 sliding tests to cover a full range of collision scenarios. The G3 also went through more than 1,000 structural optimization simulations in the R&D phase, taking more than 30,000 hours. Additionally, the G3 has the following active safety systems:

  • Forward collision warning (FCW)
  • Automatic emergency brake (AEB) with pedestrian protection
  • Lane departure warning (LDW)
  • Intelligent speed limit assist (SLA)
  • Blind spot detection (BSD)
  • Lane change alert (LCA)
  • Rear cross traffic alert (RCTA)
  • MSB electric seatbelt (with collision warning)

 

SOURCE XPENG Motors

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Artificial Intelligence

TVS Motor Singapore to Invest US$7 Million in Scienaptic Systems, an AI Powered Decision Platform

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TVS Motor (Singapore) Pte. Limited, a wholly-owned subsidiary of TVS Motor Company Limited, India, has signed definitive agreements to invest US$7 million in Scienaptic Systems Inc., a Delaware corporation, headquartered in New York City. TVS Motor (Singapore) Pte. Limited led this Series A funding in Scienaptic. The closing of the investment is subject to obtaining appropriate regulatory approvals.

Scienaptic has combined latest big data technologies and proprietary machine learning and artificial intelligence algorithms on its decision platform, “Ether.” Solutions built on Ether enable enterprises to improve risk and credit assessment, monitor evolving fraud patterns, and improve customer journeys and experience. Scienaptic counts several marquee Fortune 100 enterprises as its clients.

Rajesh Narasimhan, Board Member of TVS Motor Company and CEO of TVS Motor (Singapore), stated that, “We evaluated many companies providing big data analytics and risk management solutions and found Scienaptic’s product offerings and solutions with their ability to help organizations leverage actionable insights through the power of a strong analytics platform to be a clear differentiator and a unique proposition. Scienaptic’s end-to-end data analytics solution, with applicability to customers in various industries, has the potential to generate a new profit stream for our group. We are happy to invest in, and strategically partner with, Scienaptic as they continue to pursue bottom-line impact for Fortune 100 companies, and to leverage Scienaptic for our businesses. Our current investment in Scienaptic is part of the initial set of investments being made in strategically relevant digital startups.”

Pankaj Kulshreshtha, Founder & CEO of Scienaptic added, “We are witnessing the adoption of our AI platform at Fortune 100 companies. With the cutting edge instruments on our platform, companies are able to drive adoption of AI in their processes. The investment by TVS enables us to accelerate our sales and product development. We found a significant match in value systems between the two organizations and believe that our collective strengths will enable Scienaptic to grow exponentially and become a global leader in AI-powered decisioning space.”

 

SOURCE TVS Motor

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