GENBETA car completes Monaco E-Prix lap powered solely by regenerative braking after AI-planned mountain descent; the feat was filmed and produced by Red Bull Media House

MONTE CARLO, Monaco and LONDON, May 3, 2025 /PRNewswire/ — In a daring demonstration enabled by Google Cloud’s AI capabilities, Formula E successfully charged its GENBETA prototype race car using only regenerative braking during a 1,000-vertical-meter mountain descent – generating enough energy to complete a full lap of the iconic Circuit de Monaco. Leveraging the Gemini API via Google AI Studio, Formula E planned the optimal “Mountain Recharge” route down a French alpine pass, analyzing data in real time to maximize energy recuperation.

The groundbreaking “Mountain Recharge” project, undertaken in collaboration with Google Cloud, Formula E’s Official Cloud Technology Services Partner and Official Cloud Security Partner, highlights the significant energy efficiency of Formula E vehicles. During races, the competing cars must regenerate approximately 40% of their required energy through braking. 

The challenge involved the GENBETA car descending the Col de Braus mountain road in “free-wheel mode”, starting with only minimal energy for system power-up. Driven by Formula E Test Driver James Rossiter, the car successfully generated the 1.6 to 2.0 kWh needed for the 3.337 km Monaco lap solely through gravity and optimized braking – equivalent to fully charging nearly 60 Google Pixel 9 Pro XL devices. The feat was filmed and produced by Red Bull Media House.

To determine the feasibility and plan the execution of the “Mountain Recharge” Formula E utilized several Google Cloud technologies:

Google AI Studio: The Gemini API via Google AI Studio was used to analyze the complex variables of the descent. The AI model helped identify and analyze optimal braking zones, calculate the impact of speed-to-weight ratios and gravitational forces, and refine driving angles to maximize energy regeneration.BigQuery: Google Cloud’s unified, serverless data to AI platform collected, stored, and analyzed real-time telemetry data transmitted from the car during the descent, providing crucial insights for verification and analysis.Firebase: Google Cloud’s application development platform, Firebase was used to rapidly build and host the intuitive dashboard application that allowed race engineers to visualize real-time car telemetry data from BigQuery on their Chromebooks and Pixel devices.NotebookLM: Google’s AI-powered research and writing assistant, NotebookLM, was used throughout the project lifecycle to consolidate technical specifications, logistical plans, and engineering data, streamlining collaboration between Formula E and Google Cloud teams.

Alex Aidan, VP Marketing, Formula E said: 

“This isn’t just another attention grabbing racing story – it’s a case study in how high-efficiency regeneration and cloud-based AI can revolutionise how we think about mobility, energy optimisation and sustainability. The challenge we faced illustrates the kind of real-world problems Google Cloud’s technology and that of our wider partner group can solve – whether it’s regenerative braking for road cars, dynamic route planning for delivery fleets, or efficient energy management in smart cities. It’s about developing technology that is designed to handle everyday circumstances and engineered to outrun. 

“At Formula E and with the GENBETA project, we’re all about pushing the boundaries of what’s possible and doing things others have never dreamed of. The way our partnership with Google Cloud has rapidly evolved and our longstanding relationship with ABB not only shows the potential for technology to transform racing, but how global brands are bringing their narratives and products to life through impactful collaboration.

Guillaume Roques, Senior Director, EMEA Marketing, Google Cloud said: “Google Cloud thrives on helping partners solve unique challenges with data and AI, and the ‘Mountain Recharge’ project is a fantastic demonstration of how AI can tackle complex, real-world challenges. Using our technologies, we were able to model the intricate physics of the descent and precisely calculate the regeneration potential. This isn’t just about race cars; it’s about how our AI capabilities can help any organization optimize for efficiency and sustainability by turning data into actionable insights.”

For more information you can watch the video here and read more in our blog post here. 

Supporting Partners:
The GENBETA project and the ‘Mountain Recharge’ were also supported by GENBETA partners ABB, Hankook and SABIC.

About Formula E and the ABB FIA Formula E World Championship: 

As the world’s first all-electric FIA World Championship and the only sport certified net zero carbon since inception, the ABB FIA Formula E World Championship brings dramatic racing to the heart of some of the world’s most iconic cities providing an elite motorsport platform for the world’s leading automotive manufacturers to accelerate electric vehicle innovation. 

The Formula E network of teams, manufacturers, partners, broadcasters, and host cities are united by a passion for the sport and belief in its potential to accelerate sustainable human progress and create a better future for people and planet. 

www.FIAFormulaE.com 

About ABB: 

ABB is a global technology leader in electrification and automation, enabling a more sustainable and resource-efficient future. By connecting its engineering and digitalization expertise, ABB helps industries run at high performance, while becoming more efficient, productive and sustainable so they outperform. At ABB, we call this ‘Engineered to Outrun’. The company has over 140 years of history and more than 105,000 employees worldwide. ABB’s shares are listed on the SIX Swiss Exchange (ABBN) and Nasdaq Stockholm (ABB). www.abb.com 

About Google Cloud

Google Cloud is the new way to the cloud, providing AI, infrastructure, developer, data, security, and collaboration tools built for today and tomorrow. Google Cloud offers a powerful, fully integrated and optimized AI stack with its own planet-scale infrastructure, custom-built chips, generative AI models and development platform, as well as AI-powered applications, to help organizations transform. Customers in more than 200 countries and territories turn to Google Cloud as their trusted technology partner.

View original content to download multimedia:https://www.prnewswire.com/news-releases/google-cloud-ai-helps-formula-e-in-groundbreaking-mountain-recharge-energy-feat-302445223.html

SOURCE Google Cloud

Annual feature celebrates graduating business students for achievement and influence

SAN FRANCISCO, May 3, 2025 /PRNewswire/ — Poets&Quants, the leading news source for graduate business education, has released its 11th annual Best & Brightest MBAs feature, which honors 100 of the most accomplished full-time MBAs from the Class of 2025.

“This year’s class could be described as more female and more international, with a stronger military presence,” says Jeff Schmitt, Poets&Quants’ senior writer, who launched the series in 2015. “What really distinguished Best & Brightest students this year was that they built things. They launched ventures early in their careers or started clubs or events at their business schools. They weren’t trying to maintain what already existed or follow the usual paths. They were creating something new – and they provided others with enrichment and opportunities as a result.”

This 2025 class features MBA graduates including Wharton School’s Simi Shah, a successful entrepreneur who has been invited to the White House twice and made the 2025 Forbes “30 Under 30” in Media. Mark O’Connell, a graduate of the University of Michigan’s Ross School, helped re-write the U.S. Maines combat training curriculum – and Ohio State’s Kyle Schembechler did the same for the U.S. Field Artillery School. At the University of Virginia’s Darden School, Amanda Golden has transitioned from covering the 2020 presidential election for NBC News to becoming a venture capitalist. By the same token, Evan Rizvi made the leap from opera singer to strategist at Boston University’s Questrom School.

To compile this year’s Best & Brightest MBAs, Poets&Quants reached out to 82 top graduate business schools worldwide to nominate their best candidates for the honor. Responses were judged by P&Q editorial according to four criteria: extracurricular involvement, academic and professional achievements, insightful responses, and faculty recommendations. Ultimately, P&Q received 220 nominations, including submissions from elite institutions ranging from INSEAD to the University of Chicago’s Booth School. By gender, Best & Brightest women outnumber men by a 60-to-40 margin, with 54 students hailing from outside the United States. The Boston Consulting Group also hired 8 Best & Brightest MBAs from the Class of 2025, the most of any employer.

As part of this feature, each MBA receives an in-depth profile, which covers subjects ranging from their proudest achievement to their favorite business movie. Over the coming months, Best & Brightest will also spotlight the best student responses related topics like their favorite faculty members, biggest school myths, and most interesting school traditions. 

The “Best & Brightest MBAs” is the second of a four-part series recognizing the world’s top business students. In April, Poets&Quants For Undergrads unveiled its 100 Best & Brightest Undergraduate Business Majors of 2025. This summer, Poets&Quants will also recognize its “Best & Brightest Executive MBAs” and “Best & Brightest Online MBAs.” In the fall, P&Q will continue its “Meet the Class” series that highlights the top incoming full-time MBA students at over 40 top business schools.

To read about the “100 Best & Brightest MBAs: Class of 2025”, CLICK HERE.

Poets&Quants, a part of Times Higher Education, is the leading resource for complete coverage of graduate business education. We feature multiple tools and authoritative content, including consolidated business school rankings, news and in-depth features, videos, podcasts, searchable directories, and events, empowering our community with information needed to make decisions along their journey from pre- to post-MBA.

Media Contact: Sat Sharma
Chief Revenue Officer
Poets & Quants
(917) 763-4088

This press release was issued through 24-7PressRelease.com. For further information, visit http://www.24-7pressrelease.com.

View original content to download multimedia:https://www.prnewswire.com/news-releases/poetsquants-names-best–brightest-mbas-of-2025-302445430.html

SOURCE Poets&Quants

STOCKHOLM, May 3, 2025 /PRNewswire/ — At this week’s ESTRO conference in Vienna, RaySearch Laboratories AB (publ) and Vision RT proudly announces the next step in their collaboration: the full integration of MapRT with RayStation®* treatment planning system. This integration enables full access to the MapRT clearance map in RayStation to guide the user during treatment planning in choosing beam trajectories clear from collisions between the treatment unit, patient and couch.

During CT simulation, MapRT cameras capture the entire surface of the patient, along with any immobilization accessories. The MapRT software then analyzes this data, alongside models of the treatment couch and machine, to identify safe gantry and couch angles which are represented by a clearance map that is immediately accessible in RayStation.

The integration is designed to optimize beam options for better plans and minimize the need for dry runs. This is particularly important for treatment plans where the couch is rotated. Recent studies have demonstrated that non-coplanar treatments can significantly improve treatment plans for several cancers, including lung1,2,3,4, breast5,6,7,8, head and neck cancers9,10,11,12,13, lymphoma14,15, and high-grade glioma16. These treatments can offer clinically relevant benefits, such as improved organ-at-risk dose sparing.

Helen Convery, Senior Dosimetrist (Development & Clinical Trials), who has tested the integration, says: “We have used MapRT at Raigmore Hospital since 2022 and have found it invaluable for checking for collision on all plans and optimizing non-coplanar plan angles. I think the integration into RayStation is of significant value and I can see it further streamlining and improving the efficiency of our workflow.”

Thomas Carter, VP of Marketing, Vision RT, adds: “We are already seeing clinics changing their planning techniques, allowing their patients to benefit from the extra beam options MapRT provides. This integration has the potential to streamline workflows, reduce errors, and free up resources, all while improving treatment predictability. It also opens the path for automated, collision-free planning.”

Björn Hårdemark, Deputy CEO, RaySearch: “Surface scanning is an excellent source of information about the most central aspect of radiation therapy – the patient. The tight integration between MapRT and RayStation makes this information available already during treatment planning, allowing the user to explore more creative beam configurations while maintaining clearance around the patient. It is a great example of how clinical benefit can be achieved through collaboration between radiation therapy technology vendors.”

MapRT is approved for CE marking and clinical distribution in the EU and UK. A version without the API is currently cleared for sale in the USA, with API version 510(k) pending.

About Vision RT
Vision RT is the inventor of Surface Guided Radiation Therapy (SGRT) which uses camera systems to track surface data, to offer more guidance across every step of the radiotherapy workflow: simulation, planning, treatment and dose visualization. We work tirelessly to improve the accuracy, efficiency, safety and comfort of radiation therapy.

Vision RT is part of the William Demant Invest (WDI) family, a leading Danish Medtech investor with a long-term investment perspective. The companies in WDI employ more than 21,000 people.

About RaySearch
RaySearch Laboratories AB (publ) is a medical technology company that develops innovative software solutions for improved cancer treatment. RaySearch markets the RayStation®* treatment planning system (TPS) and the oncology information system (OIS) RayCare®*. The most recent additions to the RaySearch product line are RayIntelligence® and RayCommand®*. RayIntelligence is an oncology analytics system (OAS) which enables cancer clinics to collect, structure and analyze data. RayCommand, a treatment control system (TCS), is designed to link the treatment machine and the treatment planning and oncology information systems.

RaySearch’s software has been sold to over 1,100 clinics in 47 countries. The company was founded in 2000 as a spin-off from the Karolinska Institute in Stockholm and the share has been listed on Nasdaq Stockholm since 2003. More information is available at raysearchlabs.com.

About RayStation
RayStation®* is a flexible, innovative treatment planning system, chosen by many leading cancer centers worldwide. It combines unique features such as unmatched adaptive therapy capabilities, multi-criteria optimization, market-leading algorithms for treatment plan optimization for HDR brachytherapy and external beam therapy with photons, electrons, and protons, as well as helium and carbon ions. RayStation supports a wide range of treatment machines, providing one control center for all treatment planning needs and ensuring centers get greater value from existing equipment. RayStation also seamlessly integrates with RayCare®*. By harmonizing the treatment planning, the care of cancer patients worldwide is improved.

* Subject to regulatory clearance in some markets.

Johan Löf, founder and CEO, RaySearch Laboratories AB (publ)
Telephone: +46 (0) 8 510 530 00 
johan.lof@raysearchlabs.com  

Learn more about us on:
LinkedIn
YouTube

[1] Ma M, Ren W, Li M, Niu C, Dai J. Dosimetric comparison of coplanar and non-coplanar beam arrangements for radiotherapy of patients with lung cancer: A meta-analysis. J Appl Clin Med Phys. 2021 Apr;22(4):34-43. doi: 10.1002/acm2.13197. Epub 2021 Feb 26. PMID: 33634946; PMCID: PMC8035566.

[2] Kim ST, An HJ, Kim JI, Yoo JR, Kim HJ, Park JM. Non-coplanar VMAT plans for lung SABR to reduce dose to the heart: a planning study. Br J Radiol. 2020 Jan;93(1105):20190596. doi: 10.1259/bjr.20190596. Epub 2019 Oct 22. PMID: 31625759; PMCID: PMC6948076.

[3] Lincoln JD, MacDonald RL, Syme A, Thomas CG. Static couch non-coplanar arc selection optimization for lung SBRT treatment planning. Phys Med Biol. 2023 Jul 21;68(15). doi: 10.1088/1361-6560/ace23f. PMID: 37369237.

[4]Chapet O, Khodri M, Jalade P, N’guyen D, Flandin I, D’hombres A, Romestaing P, Mornex F. Potential benefits of using non-coplanar field and intensity modulated radiation therapy to preserve the heart in irradiation of lung tumors in the middle and lower lobes. Radiother Oncol. 2006 Sep;80(3):333-40. doi: 10.1016/j.radonc.2006.07.009. Epub 2006 Aug 24. PMID: 16934354.

[5] J, F., et al. (2023). Locoregional breast radiotherapy including IMN: optimizing the dose distribution using an automated non-coplanar VMAT-technique. Acta oncologica (Stockholm, Sweden), [online] 62(10). doi:https://doi.org/10.1080/0284186X.2023.2264488.

[6] Xu, Y., Ma, P., Hu, Z., Tian, Y., Men, K., Wang, S., Xu, Y. and Dai, J. (2021). Non-coplanar volumetric modulated arc therapy for locoregional radiotherapy of left-sided breast cancer including internal mammary nodes. Radiology and Oncology, 55(4), pp.499–507. doi:https://doi.org/10.2478/raon-2021-0045.

[7] A, B., et al. (2023). Dosimetric Comparision of Coplanar versus Non-coplanar Volumetric Modulated Arc Therapy for Treatment of Bilateral Breast Cancers. Journal of medical physics, [online] 48(3). doi:https://doi.org/10.4103/jmp.jmp_36_23.

[8] Biau J, Lopez L, Thivat E, Casile M, Millardet C, Saroul N, Pham-Dang N, Molnar I, Bourhis J, Lapeyre M. Postoperative SBRT in the treatment of early-stage oropharyngeal and oral cavity cancers with high-risk margins: A dosimetric comparison of volumetric modulated arc therapy with or without non-coplanar arcs and acute toxicity outcomes from the STEREOPOSTOP GORTEC 2017-03 phase 2 trial. Clin Transl Radiat Oncol. 2022 Nov 14;38:169-174. doi: 10.1016/j.ctro.2022.11.07. PMID: 36466746; PMCID: PMC9712819.

[9]Woods KE, Ma TM, Cook KA, Morris ED, Gao Y, Sheng K, Kishan AU, Hegde JV, Felix C, Basehart V, Narahara K, Shen Z, Tenn S, Steinberg ML, Chin RK, Cao M. A Prospective Phase II Study of Automated Non-Coplanar VMAT for Recurrent Head and Neck Cancer: Initial Report of Feasibility, Safety, and Patient-Reported Outcomes. Cancers (Basel). 2022 Feb 14;14(4):939. doi: 10.3390/cancers14040939. PMID: 35205686; PMCID: PMC8870161.

[10] Gayen S, Kombathula SH, Manna S, Varshney S, Pareek P. Dosimetric comparison of coplanar and non-coplanar volumetric-modulated arc therapy in head and neck cancer treated with radiotherapy. Radiat Oncol J. 2020 Jun;38(2):138-147. doi: 10.3857/roj.2020.00143. Epub 2020 May 26. PMID: 33012157; PMCID: PMC7533406.

[11] Gayen S, Kombathula SH, Manna S, Varshney S, Pareek P. Dosimetric comparison of coplanar and non-coplanar volumetric-modulated arc therapy in head and neck cancer treated with radiotherapy. Radiat Oncol J. 2020 Jun;38(2):138-147. doi: 10.3857/roj.2020.00143. Epub 2020 May 26. PMID: 33012157; PMCID: PMC7533406.

[12] Subramanian VS, Subramani V, Chilukuri S, Kathirvel M, Arun G, Swamy ST, Subramanian K, Fogliata A, Cozzi L. Multi-isocentric 4π volumetric-modulated arc therapy approach for head and neck cancer. J Appl Clin Med Phys. 2017 Sep;18(5):293-300. doi: 10.1002/acm2.12164. Epub 2017 Aug 20. PMID: 28834021; PMCID: PMC5874945.

[13] Wild, E., Bangert, M., Nill, S. and Oelfke, U. (2015). Non-coplanar VMAT for nasopharyngeal tumors: Plan quality versus treatment time. Medical Physics, 42(5), pp.2157–2168. doi:https://doi.org/10.1118/1.4914863.

[14] Rossi L, Cambraia Lopes P, Marques Leitão J, Janus C, van de Pol M, Breedveld S, Penninkhof J, Heijmen BJM. On the Importance of Individualized, Non-Coplanar Beam Configurations in Mediastinal Lymphoma Radiotherapy, Optimized With Automated Planning. Front Oncol. 2021 Apr 15;11:619929. doi: 10.3389/fonc.2021.619929. PMID: 33937025; PMCID: PMC8082440.

[15]  Chen X, Jin D, Wang S, Li M, Huang P, Dai J. Non-coplanar intensity-modulated radiation therapy for young female patients with mediastinal lymphoma. J Appl Clin Med Phys. 2012 Nov 8;13(6):3769. doi: 10.1120/jacmp.v13i6.3769. PMID: 23149772; PMCID: PMC5718536.

[16] Yu VY, Landers A, Woods K, Nguyen D, Cao M, Du D, Chin RK, Sheng K, Kaprealian TB. A Prospective 4π Radiation Therapy Clinical Study in Recurrent High-Grade Glioma Patients. Int J Radiat Oncol Biol Phys. 2018 May 1;101(1):144-151. doi: 10.1016/j.ijrobp.2018.01.048. Epub 2018 Jan 31. PMID: 29619962.

This information was brought to you by Cision http://news.cision.com

https://news.cision.com/raysearch-laboratories/r/raysearch-laboratories-and-vision-rt-present-innovations-in-surface-guided-treatment-planning-at-est,c4144768

The following files are available for download:

View original content:https://www.prnewswire.com/news-releases/raysearch-laboratories-and-vision-rt-present-innovations-in-surface-guided-treatment-planning-at-estro-302445457.html

SOURCE RaySearch Laboratories