If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Chief Technology Officer at Integrity Management Services, Inc., where she is leading cutting-edge technology solutions (AI) for clients. Artificial intelligence is ubiquitous today. Most of us do not know where AI is being used and are unaware of the biased decisions that some of these algorithms produce. There are AI tools that claim to infer "criminality" from face images, race from facial expressions and emotion recognition through eye movements. Many of these technologies are increasingly used in applications that impact credit card checks, fraud detection, criminal justice decisions, hiring practices, healthcare outcomes, spreading misinformation, education, lifestyle decisions and more.
Can you increase the number of images in any dataset? Machine learning, Deep learning, Artificial intelligence all require large amounts of data. However, data is not always available in every case. The programmer needs to work with the small amount of data available. Hence the use of data augmentation came into the picture.
Waabi founder and CEO Raquel Urtasan, a computer scientist and University of Toronto professor, sees a new path to commercializing self-driving technology. Computer scientist Raquel Urtasan, an artificial intelligence expert who led a team of Toronto-based engineers for Uber's self-driving vehicle program, is launching tech startup Waabi with an $83.5 million funding round and a new "AI mindset" approach to commercializing automated driving. The Series A round, among the biggest for any Canadian tech startup, is led by Khosla Ventures and includes investment from Uber, Radical Ventures, 8VC, OMERS Ventures and BDC Capital's Women in Technology Venture Fund. Aurora Innovation, the self-driving tech company that acquired Uber ATG last December, is a minority investor. AI experts including Stanford University's Fei-Fei Li, the University of Toronto's Geoffrey Hinton and Sanja Fidler and the University of California, Berkeley's Pieter Abbeel also participated in the round.
The College of Engineering Awards acknowledge the extraordinary efforts of the college's teaching and research assistants, staff and faculty members. Sam Burden is an expert in sensorimotor control and hybrid systems and their application to robotics, neuroengineering and cyber-physical systems. He is a founding co-director of the Laboratory for Amplifying Movement and Performance (AMP Lab), where his research focuses on developing mathematical and computational modeling tools to enable collaborative learning and control between humans and machines. As a first-generation college graduate and UW engineering alum, Burden is committed to broadening participation in engineering, a goal he pursues in his role as the first DEI coordinator for the ECE department, where he works to define and implement the department's diversity, equity and inclusion goals through the formation of an advisory committee and partnering with other department leaders on strategic planning, funding, hiring and recruiting. He is the recipient of an ARO Young Investigator Award, WRF Early Faculty Award and an NSF CAREER Award.
Most of us take it for granted that we can read another person's emotions through subtleties such as body language, yet this is a real struggle for many others. Researchers at Stanford University modified Google's augmented reality glasses to read emotions in others and notify the wearer. The glasses detect someone's mood through their eye contact, facial expressions and body language, and then tell the wearer what emotions it's picking up. "Emotion AI taps into the individual," explains Zabeth Venter, CEO and co-founder of Averly. "If you think about facial recognition, which is a kind of emotion AI, I can pick up if you like what I'm saying by whether your smile is a smirk or a real genuine smile."
Netflix recently released Season 2 of Love, Death & Robots, an anthology show that adapts short stories into animated films. Science fiction author Zach Chapman thinks the new season is a big improvement over Season 1, with fewer episodes that feel silly or underdeveloped. "I do think that these stories are way more consistent," Chapman says in Episode 469 of the Geek's Guide to the Galaxy podcast. "I wouldn't say that there's an episode that I didn't like in this season, whereas there were quite a few that I didn't like in Season 1." Geek's Guide to the Galaxy host David Barr Kirtley was pleased to see the show move in a more serious direction, after a first season that seemed primarily aimed at teenage boys. "This show started as an attempt to reboot Heavy Metal, so it did have that kind of aesthetic," he says.
Coinbase has built the world's leading compliant cryptocurrency platform serving over 30 million accounts in more than 100 countries. With multiple successful products, and our vocal advocacy for blockchain technology, we have played a major part in mainstream awareness and adoption of cryptocurrency. We are proud to offer an entire suite of products that are helping build the cryptoeconomy and increase economic freedom around the world. There are a few things we look for across all hires we make at Coinbase, regardless of role or team. First, we look for signals that a candidate will thrive in a culture like ours, where we default to trust, embrace feedback, disrupt ourselves, and expect sustained high performance because we play as a championship team.
European Union (EU) lawmakers have introduced new rules that will shape how companies use artificial intelligence (AI). The rules are the first of their kind to introduce regulation to the sector, and the EU's approach is unique in the world. In the US, tech firms are largely left to themselves, while in China, AI innovation is often government-led and used regularly to monitor citizens without too much hindrance from regulators. The EU bloc, however, is taking an approach that aims to maximise the potential of AI while maintaining privacy laws. There are new regulations around cases that are perceived as endangering people's safety or fundamental rights, such as AI-enabled behaviour manipulation techniques.
This article is part 1 of our bias in AI series, an update to the original article in our Biotech Review of the year – issue 8. Read part 2 here. During the COVID-19 pandemic, the notion of different health outcomes for different populations has gained increased profile in the public consciousness, particularly in light of the varying effect of COVID-19 on different community groups. Varying outcomes can arise for a variety of reasons, one of which is bias (whether conscious or unconscious) in the healthcare system. But surely this isn't something that needs to be considered in relation to AI in health research, as AI systems are inanimate and can't display human faults…right? There is often a misconception that medical devices and AI systems can't produce biased results, as they work using logic and process, rather than being tainted by flawed assumptions based on human error or prejudice. However, ultimately it is humans that design medical devices, which are tested on human collected datasets.
Pandemic, new regulations send enterprises hunting for data to level-up their AISAN MATEO, Calif., May 18, 2021 (GLOBE NEWSWIRE) -- Explorium, the External Data platform that automatically discovers thousands of relevant data signals and uses them to improve analytics and machine learning, has closed its $75M Series C funding round, led by global venture capital and private equity firm Insight Partners, with existing investors Zeev Ventures, Emerge, F2 Venture Capital, 01 Advisors and Dynamic Loop Capital also participating. The round brings Explorium’s total investment to more than $127M, as George Mathew, Managing Director at Insight Partners and former President & COO of Alteryx, joins Explorium’s board of directors. Explorium’s latest capital raise, eight months after its Series B, comes on the heels of a year that revealed the limitations — and perils — of predictive models based entirely on internal data, as well as the challenges of obtaining impactful and reliable data from outside a company’s four walls. Reviewing the events of 2020, consulting firm McKinsey & Co. noted: “In a few short months, consumer purchasing habits, activities and digital behavior changed dramatically, making preexisting consumer research, forecasts and predictive models obsolete. Moreover, as organizations scrambled to understand these changing patterns, they discovered little of use in their internal data.” As business conditions evolved and regulations restricted access to crucial sources of information, business teams went hunting outside their organizations for data to support machine learning and other mission-critical analytics—and discovered it was no easy task. A recent Explorium study found enterprises were hungry for external data but had no clear idea how to get it. Of the respondents: 79% perceived external data as very valuable for analysis and modeling93% said finding relevant data took high or medium effort81% said they spent at least $100K a month acquiring external dataLess than 33% have an organized strategy for acquiring it. “Just a few years ago, enterprises were trying to get machine learning up and running. Now they’re realizing the importance not just of data quality, but data diversity,” said Dave Menninger, SVP & Research Director at Ventana Research. “Nearly 80% of the participants in our Machine Learning research are working with external data to enrich their models. The challenge is how to access that information easily and keep it up to date.” Explorium stands out as a singular solution to enterprises’ data dilemma. Its External Data Platform analyzes data models, searches its wide collection of thousands of external data signals and automatically discovers the most relevant signals to improve analytics and machine learning. Data scientists and business analysts can quickly enrich their predictive models with external data, benchmark the boost in performance and deploy the models with just a few keystrokes, with the assurance that all data is compliant with current regulations. Since the start of the pandemic, Explorium has doubled its customer base and more than quadrupled revenue. Companies like BlueVine, GlassesUSA.com, Melio and PepsiCo use Explorium to enhance AI models for use cases including lead scoring, identifying default risk and fraud and upleveling analytics such as demand forecasting and customer lifetime value. “Machine learning is key to our competitive strategy, and external data is what powers it,” said Elad Zoldan, Head of Data at Melio. “Before we started using Explorium, we had to search for data source by source and strike separate deals with different providers. It wasn’t a scalable or flexible solution. With Explorium, we have a universe of external data at our fingertips, and an incredibly efficient way to figure out what data will make the biggest impact.” In addition to its ML Engine for automated external data discovery and feature engineering, Explorium has released Signal Studio, a new product that enables data and business analyst teams to quickly find and integrate the most relevant external data signals to their analytics pipelines. “We’re seeing data become the new differentiator,” said George Mathew, Managing Director at Insight Partners. “AI and machine learning are already table stakes. Everyone has them. Competitive advantage will depend not just on the quality of your models but on the diversity of data fueling those models, making Explorium a unique proposition for data scientists and analysts alike.” “As we saw last year, machine learning models and tools for advanced analytics are only as good as the data behind them. And often that data is not sufficient,” said Maor Shlomo, CEO at Explorium. “We’re addressing a business-critical need, guiding data scientists and business leaders to the signals that will help them make better predictions and achieve better business outcomes.” About ExploriumExplorium provides the first External Data Platform to improve Analytics and Machine Learning. Explorium enables organizations to automatically discover and use thousands of relevant data signals to improve predictions and ML model performance. Explorium External Data Platform empowers data scientists and analysts to acquire and integrate third-party data efficiently, cost-effectively and in compliance with regulations. With faster, better insights from their models, organizations across fintech, insurance, consumer goods, retail and e-commerce can increase revenue, streamline operations and reduce risks. Learn more at www.explorium.ai. About Insight PartnersInsight Partners is a leading global venture capital and private equity firm investing in high-growth technology and software ScaleUp companies that are driving transformative change in their industries. Founded in 1995, Insight Partners has invested in more than 400 companies worldwide and has raised through a series of funds more than $30 billion in capital commitments. Insight’s mission is to find, fund and work successfully with visionary executives, providing them with practical, hands-on software expertise to foster long-term success. Across its people and its portfolio, Insight encourages a culture around a belief that ScaleUp companies and growth create opportunity for all. For more information on Insight and all its investments, visit insightpartners.com or follow us on Twitter @insightpartners. Media contactTheresa Carper415 848 9175 email@example.com