Press Release
10 Startups Selected for Accenture's 2020 FinTech Innovation Lab Asia-Pacific
Ten leading fintech companies have been selected for the seventh annual FinTech Innovation Lab Asia-Pacific, a mentorship program created by Accenture (NYSE: ACN) that helps startups fine-tune their business plans and solutions by pairing them with mentors from leading financial institutions. This press release features multimedia. Ten leading fintech companies have been selected for the seventh annual FinTech Innovation Lab Asia-Pacific. This year's program received applications from 162 companies across more than 30 countries, with solutions related to the five themes for the 2020 program: data & analytics; digital bank solutions; emerging technologies; health insurance ecosystem; and intelligent automation. Leveraging artificial intelligence (AI), advanced analytics, natural language processing and other technologies, the 10 selected startups -- which hail from seven markets -- have developed innovations designed to help financial institutions address a variety of challenges, including keeping up with compliance requirements, analyzing large volumes of structured and unstructured data, and building more-personalized customer products and services.
Daily AI Roundup: The 5 Coolest Things On Earth Today
AI Daily Roundup starts today! We are covering the top updates from around the world. The updates will feature state-of-the-art capabilities in artificial intelligence, Machine Learning, Robotic Process Automation, Fintech and human-system interactions. We will cover the role of AI Daily Roundup and their application in various industries and daily lives. Intel Federal LLC announced a three-year agreement with Sandia National Laboratories (Sandia) to explore the value of neuromorphic computing for scaled-up computational problems.
BrainChip Presents on AI in Edge Devices at Linley Fall Processor Conference 2020
WIRE)--BrainChip Holdings Ltd. (ASX: BRN), a leading provider of ultra-low power high performance AI technology, today announced that Chief Development Officer Anil Mankar will present "A Neuromorphic Processor for Power Efficient Edge AI Applications" at the Linley Fall Processor Conference 2020 October 20 at 9:30 a.m. BrainChip's presentation is part of the conference's first-day session "AI in Edge Devices." As part of the presentation, Mankar will provide an update on the AKD1000, BrainChip's first Neural network SoC (NSoC), and describe the advantages of processing information in the event-domain. A 10-minute Q&A session will immediately follow the conclusion of his speech. "Many edge-AI processors take advantage of the spatial sparsity in neural network models to eliminate unnecessary computations and save power," said Mankar.
Making Artificial Intelligence ethical, safe and innovative
The Legal Affairs Committee adopted three reports on Thursday on specific issues linked to the increased development and use of artificial intelligence systems. The Commission is expected to put forward a legislative proposal on the matter in early 2021. The legislative initiative by Iban García del Blanco (S&D, ES), adopted with 20 votes in favour, none against and 4 abstentions, urges the EU Commission to present a new legal framework outlining the ethical principles to be used when developing, deploying and using artificial intelligence, robotics and related technologies in the EU, including software, algorithms and data. MEPs adopted proposals on several guiding principles that must be taken into account by future laws including a human-centric, human-made and human-controlled AI; safety, transparency and accountability; safeguards against bias and discrimination; right to redress; social and environmental responsibility, and respect for fundamental rights. When it comes to AI with machine-learning (self-improving) capacities, it should be designed to allow for human oversight.
Nevada testing drones to deliver vital organs to transplant patients
LAS VEGAS – At 18 months old, Chris Rodriguez was diagnosed with heart failure and required a transplant. "My heart was pumping too much blood and my organs couldn't deal with it," said Rodriguez, now 14. "Most of my life, I've just been in and out of the hospital. More than 100,000 people are on the national transplant waiting list, and approximately 17 people die each day waiting to receive an organ transplant, according to the Health Resources and Services Administration. COVID-19 has complicated the situation even more, as travel restrictions and fewer commercial flights have made it difficult to transplant organs and highlighted the need for alternative travel methods to deliver vital organs. Nevada Donor Network partnered with MissionGo to test drones to deliver vital organs. "As a result of the COVID-19 pandemic, we have been subjected to fewer commercial flights to be able to transport organs for transplantation," Joe Ferreira, Nevada Donor Network CEO said. "We've had to look ...
Hailo challenges Intel and Google with its new AI modules for edge devices – TechCrunch
Hailo, a Tel Aviv-based startup best known for its high-performance AI chips, today announced the launch of its M.2 and Mini PCIe high-AI acceleration modules. Based around its Hailo-8 chip, these new models are meant to be used in edge devices for anything from smart city and smart home solutions to industrial applications. Today's announcement comes about half a year after the company announced a $60 million Series B funding round. At the time, Hailo said it was raising those new funds to roll out its new AI chips, and with today's announcement, it's making good on this promise. In total, the company has now raised $88 million.
Data Science to Accelerate Drug Discovery with Artificial Intelligence and Machine Learning, Says Frost & Sullivan
Frost & Sullivan's recent analysis, Data Science Impacting the Pharmaceutical Industry, finds that data science tools are promising technologies transforming drug discovery costs, speed, and efficiency. When combined with other emerging tech areas, artificial intelligence (AI) technologies move to the next phase of advancements. Hence, they are expected to witness adoption by pharma and biotech companies in the next four to five years. Further, with the COVID-19 pandemic, AI and machine learning (ML) can be used for drug research and clinical trials against the coronavirus to screen large databases and perform docking studies to identify existing potential drugs or design new drugs using advanced learning algorithms. For further information on this analysis, please visit: http://frost.ly/4l2.
Data Science to Accelerate Drug Discovery with Artificial Intelligence and Machine Learning, Says Frost & Sullivan
For further information on this analysis, please visit: http://frost.ly/4l2. "Applying data science tools in healthcare, especially for drug discovery, has a huge potential to systematically change the entire existing practices and methods," said Aarthi Janakiraman, Technical Insights Research Manager at Frost & Sullivan. "Additionally, pharmaceutical companies and hospitals are adopting this system rapidly, and its application is going to be established in all branches of healthcare." Janakiraman added: "Integrating AI and ML methods into drug discovery pipelines would cut down cost and time, and increase the efficiency of the entire research and development (R&D) process. Going forward, big pharma and mid-sized biotech companies can benefit by partnering with core AI startups and reducing the costs involved in setting up their own capabilities."
SoftBank unveils food service robot to reduce COVID-19 infection risk
SoftBank Group Corp.'s robot making unit on Monday unveiled its new food service robot in a move designed to reduce the risk of coronavirus infections between staff and customers at restaurants and other eateries. SoftBank Robotics Group Corp. said it will start renting out its Servi robot, which can automatically deliver meals and drinks from the kitchen to tables at eateries, in January. The company said it expects orders from not only restaurants but also hospitals, retailers and hotels. The 1-meter-high column-shaped robot, co-developed with California-based Bear Robotics Inc., can carry a load of up to 35 kilograms at a time. It figures out where it needs to go using artificial intelligence.
Building a Modern Enterprise with Artificial Intelligence
To stay competitive and relevant in their industries, enterprises increasingly need to become AI-driven. AI is a new key to improving business processes, making better decisions, monetizing data, increasing security and more. The growing importance of AI in the enterprise is a point that industry observers now emphasize. Just consider this view from the global consulting firm Deloitte: "As AI technologies standardize across industries, becoming an AI-fueled organization will likely be table stakes for survival. And that means rethinking the way humans and machines interact within working environments."1