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WeBank, IBM and Other Organizations Jointly Held the 1st International Workshop on Federated Machine Learning in conjunction with IJCAI 2019
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Once a concept, AI is now ushering in a key stage of application. What’s the solution to the data silos among businesses? Given the enhanced regulation on data at home and abroad, what’s the solution to data privacy and security concerns? What’s the status quo of Federated Machine Learning and how to establish an ecosystem for FML in the future?
WeBank, IBM and other organizations jointly held the 1st International Workshop on Federated Machine Learning for User Privacy and Data Confidentiality (FML’19) in conjunction with the 28th International Joint Conference on Artificial Intelligence (IJCAI-19) on Aug. 12, 2019, to further discussion on these issues.
President of IJCAI, Chair of FML Steering Committee, Chief AI Officer of WeBank Professor Qiang Yang delivered opening remarks at the workshop. Dr. Shahrokh Daijavad from IBM and Dr. Jakub Konečný from Google presented keynote addresses. In the panel discussion, top scholars from WeBank, Bar-Ilan University, IBM, Squirrel AI, Google, Huawei, Clustar, Sinovation Ventures and many other renowned enterprises and universities shared and discussed their findings and experience in FML as an emerging AI technology.
This workshop received 40 papers, of which 12 were presented during the workshop, 19 presented via poster. Awards include Best Theory Paper Award, Best Application Paper Award, Best Student Paper Award, Best Presentation Award. Selected high quality papers will be invited for publication in a special issue in the IEEE Intelligent Systems journal. All these attracted numerous scholars to engage in discussions and join efforts for building the FML ecosystem.
Experts from IBM and Google Share Groundbreaking Findings with a Focus on the Theory and Application of FML
Privacy and security are becoming a key concern in our digital age. On 25th May last year, the implementation of General Data Protection Regulation (GDPR) by the EU, the toughest Act on data privacy protection, stressed that user data collection must be open and transparent. A series of laws and regulations from China and overseas also pose new challenges to the traditional way of handling data and model for cooperation. Seeking ways for AI to adapt to this new reality became top priority, a demand that led to this workshop on FML.
A wealth of solutions and breakthroughs were shared by Dr. Shahrokh Daijavad from IBM and Dr. Jakub Konečný from Google in their speech on FML.
Besides how FML can help tackle challenges in the business world, Dr. Shahrokh Daijavad also shared the concept of Fusion AI, which means to train models on widely distributed data sets, but fuse them to produce one equivalent to what centralized training would yield. “Unlike traditional machine learning, in Fusion AI, model parameters are shared and data is not transferred, which makes Fusion AI model better than models that moving data centrally.” Given the widely distributed data, the development of Fusion AI and FML became ever important and imminent.
“FML enables machine learning engineers and data scientists to work productively with decentralized data with privacy by default,” said Dr. Jakub Konečný from Google. He also shared with us how FML works and its use cases at Google. In the case of Gboard, as on-device data is privacy sensitive or large or is more relevant than server-side proxy data, and labels can be inferred naturally via user interaction, the application of Federated RNN compared to prior n-gram model can increase the accuracy of next-word prediction by 24%, and the click rate of prediction strip by 10%.
Major Figure Panelists Discuss the Way Ahead for FML
The moderator of the panel discussion, AI Principal Scientist of WeBank Dr. Lixin Fan joined panelists including Professor Benny Pinkas from Bar-Ilan University, Dr. Shahrokh Daijavad of IBM Academy of Technology, Chief Architect of Squirrel AI Dr. Richard Tong, Research Scientist of Google Dr. Jakub Konečný, Dr. Baofeng Zhang from CTO Office of CBG Software in Huawei, Executive VP of Clustar Dr. Junxue Zhang, VP of AI Institute in Sinovation Ventures Dr. Ji Feng and other experts in a host of in-depth exchanges with attendees, to shed light on the way ahead for FML.
Experts shared thoughts in the panel discussion on questions including but not limited to: How to meet the security and compliance requirements? Is there a way to extend the value of data while observing user privacy and data security? Given the classic trade-off between data regulation and development of AI, how to achieve the long-term goal of establishing a stable and win-win business ecosystem?
List of Award-Winners
Best Theory Paper Award, Best Application Paper Award, Best Student Paper Award and Best Presentation Award selected by all attendees were announced at the closing of the workshop.
Best Theory Paper Award:
Preserving User Privacy for Machine Learning: Local Differential Privacy or Federated Machine Learning? By Huadi Zheng, Haibo Hu & Ziyang Han;
Best Application Paper Award:
FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare. By Yiqiang Chen, Jindong Wang, Chaohui Yu, Wen Gao & Xin Qin;
Best Student Paper Award:
Quantifying the Performance of Federated Transfer Learning. By Qinghe Jing, Weiyan Wang, Junxue Zhang, Han Tian & Kai Chen;
Best Presentation Award:
Federated Generative Privacy. By Aleksei Triastcyn and Boi Faltings.
President of IJCAI, Chief AI Officer of WeBank Professor Qiang Yang, Chief Architect of Squirrel AI Dr. Richard Tong, andVP of AI Institute in Sinovation Ventures Dr. Ji Feng presented the awards.
“The mission of this International Federated Machine Learning Workshop is to facilitate further understanding in the academia, business community as well as legal and regulatory institutions by promoting the establishment of FML ecosystem in the hope that more businesses will join and build a platform for students aspired to work in FML to find research teams that suit them,” said Professor Qiang Yang.
Held Aug. 10-16, 2019 in Macao, China, IJCAI-19 is one of the leading International Academic Conference on AI, attracting over 3000 AI research personnel and experts. The 1st International Workshop on Federated Machine Learning (FML’19) was a highlight for experts joining this event. Visionaries in the academia and industrial sector expressed the willingness to be part of the effort for academic research, application of FML in the future, and the development and boom of AI ecosystem.
STOCKHOLM, April 5, 2024 /PRNewswire/ — EQT AB’s Q1 Announcement 2024 will be published on Thursday 18 April 2024 at approximately 07:30 CEST. EQT will host a conference call at 08:30 CEST to present the report, followed by a Q&A session.
The presentation and a video link for the webcast will be available here from the time of the publication of the Q1 Announcement.
To participate by phone and ask questions during the Q&A, please register here in advance. Upon registration, you will receive your personal dial-in details.
The webcast can be followed live here and a recording will be available afterwards.
Information on EQT AB’s financial reporting
The EQT AB Group has a long-term business model founded on a promise to its fund investors to invest capital, drive value creation and create consistent attractive returns over a 5 to 10-year horizon. The Group’s financial model is primarily affected by the size of its fee-generating assets under management, the performance of the EQT funds and its ability to recruit and retain top talent.
The Group operates in a market driven by long-term trends and thus believes quarterly financial statements are less relevant for investors. However, in order to provide the market with relevant and suitable information about the Group’s development, EQT publishes quarterly announcements with key operating numbers that are relevant for the business performance (taking Nasdaq’s guidance note for preparing interim management statements into consideration). In addition, a half-year report and a year-end report including financial statements and further information relevant for investors is published. Finally, EQT also publishes an annual report including sustainability reporting.
Contact
Olof Svensson, Head of Shareholder Relations, +46 72 989 09 15
EQT Shareholder Relations, [email protected]
Rickard Buch, Head of Corporate Communications, +46 72 989 09 11
EQT Press Office, [email protected], +46 8 506 55 334
This information was brought to you by Cision http://news.cision.com
https://news.cision.com/eqt/r/invitation-to-presentation-of-eqt-ab-s-q1-announcement-2024,c3956826
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- Kia drives forward transformation into ‘Sustainable Mobility Solutions Provider’
- Roadmap enables Kia to proactively respond to uncertainties in mobility industry landscape, including changes in EV market
- Company to expand EV line-up with more models; enhance HEV line-up to manage fluctuation in EV demand
- Goal to sell 1.6 million EVs annually in 2030, introducing 15 models
- PBV to play a key role in Kia’s growth, targeting 250,000 PBV sales annually by 2030 with PV5 and PV7 models
- Kia to invest KRW 38 trillion by 2028, including KRW 15 trillion for future business
- 2024 business guidance : KRW 101 tln in revenue with KRW 12 tln in operating profit; operating profit margin of 11.9% on sales of 3.2 million units globally
- CEO reaffirms Kia’s commitment to ESG management
SEOUL, South Korea, April 5, 2024 /PRNewswire/ — Kia Corporation (Kia) today shared an update on its future strategies and financial targets at its CEO Investor Day in Seoul, Korea.
Based on its innovative achievements in the years since the announcement of mid-to-long-term business initiatives, Kia is focusing on updating its 2030 strategy announced last year and further strengthening its business strategy in response to uncertainties across the global mobility industry landscape.
During the event, Kia updated its mid-to-long-term business strategy with a focus on electrification, and its PBV business. Kia reiterated its 2030 annual sales target of 4.3 million units, including 1.6 million units of electric vehicles (EVs). The 2030 4.3 million annual sales target is 34.4 percent higher than the brand’s 2024 annual goal of 3.2 million units.
The company also plans to become a leading EV brand by selling a higher percentage of electrified models among its total sales, including hybrid electric vehicles (HEV), plug-in hybrid (PHEV), and battery EVs, projecting electrified model sales of 2.48 million units annually or 58 percent of Kia’s total sales in 2030.
“Following our successful brand relaunch in 2021, Kia is enhancing its global business strategy to further the establishment of an innovative EV line-up and accelerate the company’s transition to a sustainable mobility solutions provider,” said Ho Sung Song, President and CEO of Kia. “By responding effectively to changes in the mobility market and efficiently implementing mid-to-long-term strategies, Kia is strengthening its brand commitment to the wellbeing of customers, communities, the global society, and the environment.”
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VANCOUVER, BC, April 4, 2024 /PRNewswire/ — BioVaxys Technology Corp. (CSE: BIOV) (FRA: 5LB) (OTCQB: BVAXF) (the “Company“) is providing this bi-weekly update on the status of the management cease trade order granted on February 29, 2024 (the “MCTO“), by its principal regulator, the Ontario Securities Commission (the “OSC“), under National Policy 12-203 – Management Cease Trade Orders (“NP 12-203“), following the Company’s announcement on February 21, 2024 (the “Default Announcement“), that it was unable to file its audited annual financial statements for the year ended October 31, 2023, its management’s discussion and analysis of financial statements for the year ended October 31, 2023, its annual information form for the year ended October 31, 2023, and related filings (collectively, the “Required Annual Filings“). Under National Instrument 51-102, the Required Annual Filings were required to be made no later than February 28, 2024.
As a result of the delay in filing the Required Annual Filings, the Company was unable to file its interim financial statements for the three months ended January 31, 2024, its management’s discussion and analysis of financial statements for the three months ended January 31, 2024, and related filings (collectively, the “Required Interim Filings“). Under National Instrument 51-102, the Required Interim Filings were required to be made no later than April 1, 2024.
The Company anticipates filing the Required Annual Filings by April 30, 2024. The auditor of the Company requires additional time to complete its audit of the Company, including the Company’s recent acquisition of all intellectual property, immunotherapeutics platform technologies, and clinical stage assets of the former IMV Inc. that closed on February 16, 2024. In addition, the Company anticipates filing the Required Interim Filings immediately after the filing of the Required Annual Filings.
Except as herein disclosed, there are no material changes to the information contained in the Default Announcement. In addition, (i) the Company is satisfying and confirms that it intends to continue to satisfy the provisions of the alternative information guidelines under NP 12-203 and issue bi-weekly default status reports for so long as the delay in filing the Required Annual Filings and/or Required Interim Filings is continuing, each of which will be issued in the form of a press release; (ii) the Company does not have any information at this time regarding any anticipated specified default subsequent to the default in filing the Required Annual Filings and Required Interim Filings; (iii) the Company is not subject to any insolvency proceedings; and (iv) there is no material information concerning the affairs of the Company that has not been generally disclosed.
About BioVaxys Technology Corp.
BioVaxys Technology Corp. (www.biovaxys.com), a biopharmaceuticals company registered in British Columbia, Canada, is a clinical-stage biopharmaceutical company dedicated to improving patient lives with novel immunotherapies based on the DPX™ immune-educating technology platform and it’s HapTenix© ‘neoantigen’ tumor cell construct platform, for treating cancers, infectious disease, antigen desensitization, and other immunological fields. The Company’s clinical stage pipeline includes maveropepimut-S which is in Phase II clinical development for advanced Relapsed-Refractory Diffuse Large B Cell Lymphoma (DLBCL) and platinum resistant ovarian cancer, and BVX-0918, a personalized immunotherapeutic vaccine using it proprietary HapTenix© ‘neoantigen’ tumor cell construct platform which is soon to enter Phase I in Spain for treating refractive late-stage ovarian cancer. The Company is also capitalizing on its tumor immunology know-how and creation of a unique library of T-lymphocytes & other datasets post-vaccination with its personalized immunotherapeutic vaccines to utilize predictive algorithms and other technologies to identify new targetable tumor antigens. BioVaxys common shares are listed on the CSE under the stock symbol “BIOV” and trade on the Frankfurt Bourse (FRA: 5LB) and in the US (OTCQB: BVAXF). For more information, visit www.biovaxys.com and connect with us on X and LinkedIn.
ON BEHALF OF THE BOARD
Signed “James Passin“
James Passin, Chief Executive Officer
Phone: +1 646 452 7054
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