Alexa-maker Amazon is creating a machine learning and artificial intelligence research lab at USC as the retail giant grapples with growing privacy concerns around its products. The Center for Secure and Trusted Machine Learning, part of USC's Viterbi School of Engineering, will support research that looks at new ways to secure and preserve privacy in machine learning and can be applied at scale "to support billions of users."
Amazon's artificial intelligence systems extend beyond its smart home devices; the company automates much of its processes using machine learning; including product recommendation, the Amazon Echo and the Amazon Go store (a brick and mortar location that runs without cashiers). Amazon also recently launched Halo, a wearable fitness tracker comparable to the Fitbit that also connects with Alexa and the rest of its smart devices.
A.I. and machine learning underpin almost all Amazon's products, and the technology is what powers any smart home device. The "internet of things" concept -- the idea that different individual computers can communicate with one another on a universal network -- is also powered by A.I. Nearly all big tech companies use A.I.
"A.I. fuels just about everything we do at Amazon, and we challenge ourselves every day to find ways to use this technology to benefit customers," a company spokesperson told dot.LA. "A.I. is a key part of our culture because we are customer obsessed, and these technologies have developed as great tools for developing and improving customer experiences."
Amazon wouldn't comment on if it will use this research to develop its A.I.-enabled products, like the Alexa smart device.
Though it has relationships with other colleges, the program with USC is Amazon's first machine learning-focused fellowship project with a campus.
The center's goal is to make A.I. and machine learning technologies more secure and trusted by the public. It will be directed by Salman Avestimehr, professor of computer and electrical engineering at USC, who will also oversee related fellowships and the overall project.
Avestimehr said he thinks there are many companies besides Amazon that could benefit from the center's research.
"Amazon is interested in this, and many others. [Machine learning] is a hot topic, and it's on everybody's mind," Avestimehr said. "Privacy, security and trust resonates with everybody."
Salman Avestimehr is a professor of computer and electrical engineering at USC.
Privacy, according to Avestimehr, refers to keeping individual users' data safe, while security is related to securing the open-source systems from threats. "Since everybody can be a part of this ecosystem of machine learning, therefore it is also open to any adversary behavior," he added.
There's also the challenge big tech companies face in getting their customers to fully trust their automated systems (and keep using their devices).
Google is another tech giant that's trying to figure out how to approach and market A.I., which it uses in many facets of its business including its Google Home devices, which compete with Amazon's Alexa. Lead researchers and engineers at Google have quit over concerns the company and its CEO Sundar Pichai aren't prioritizing diversity in developing A.I. -- an issue they've voiced since 2015. Google's co-head of ethical A.I. Margaret Mitchell is currently under investigation for allegedly sharing classified Google documents with outside sources.
"If this is something like coming up with this algorithm to run your home, how would you trust that? How do you trust this algorithm that is learning by itself?," Avestimehr said.
Amazon had similar issues. Cybersecurity researchers including those at Check Point have uncovered privacy concerns with the Alexa, including the ability to hack into the device, steal personal information and change which "skills" Alexa can perform. "Successful exploitation would have required just one click," Check Point wrote in its report.
At CES last year, Amazon said it sold at least 200 million Alexa devices to date, and that its customers use the voice assistant prompts to control their smart homes a combined "hundreds of millions of times" each week.
"At Amazon, privacy and security are foundational," an Amazon spokesperson said. "Our highest priorities are keeping customers' information safe, providing customers with transparency and control, and making privacy controls incredibly easy to use and understand."
The technology and research produced by the lab could lead to a wider understanding of how A.I. and machine learning works. Avestimehr said he hopes it'll also convince the public to engage with more complex A.I. systems that could actually be dangerous, like autonomous vehicles.
"They're not making big decisions yet," Avestimehr said of most current A.I. systems.
Under Avestimehr's direction, the center will accept qualified USC PhD candidates into its Amazon Machine Learning Fellows program, where they will gain access to funded research projects, annual fellowships, public research symposiums and annual workshops. The program will also reach out to younger engineers; there are plans to train and eventually recruit high school and university students.
"Related to our university, it's good at attracting talent, educating talent and these fellowship resources will be very useful to drawing talented students, educating them and [also] recognizing the greatest students we have at USC," Avestimehr said.
Amazon and USC have partnered before on projects. The ecommerce giant said through a spokesperson that it chose to work with USC to develop a machine learning center partly because it deepens Amazon's access to the graduate talent pool.
"We are delighted to bring together top talent at Amazon and USC in a joint mission to drive ground-breaking advances in privacy and security preserving machine learning; advances that enable us to continue to safely and securely deliver experiences," Amazon's Alexa AI Vice President — and former USC vice dean of engineering — Prem Natarajan said in a statement.
Though it's headquartered in Seattle, Amazon has a sizable operation in Los Angeles. The company said it continues to hire at its hub in L.A., and added, "there are currently more than 500 tech and corporate roles available." Right now, Amazon said it employs thousands in L.A. County.
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At a time when the clinical health care workforce is suffering from burnout and attrition in the wake of the pandemic, Regard’s technology looks to alleviate some of the pressure on health care workers. The startup’s AI-enabled software is integrated directly into a provider’s system and uses an algorithm to analyze patients’ medical records, allowing physicians to more easily diagnose them.
Since launching its flagship product in 2020, Regard’s technology has been used on more than 30,000 patients, according to the company. The startup charges health care providers around $500 to $700 per month for access, co-founder and CEO Eli Ben-Joseph told dot.LA, with its customers including Torrance Memorial Medical Center, Cedars-Sinai Medical Center and roughly a dozen other hospitals across the U.S.
“We’re building something that’s a game-changer for doctors,” Ben-Joseph said. “It’s helping them catch medical conditions that they would have missed. So regardless of market conditions, we’re able to have value and I think investors saw that and got excited.”
Co-founders from left to right: CEO Eli Ben-Joseph, CTO Thomas Moulia, and COO Nate Wilson. Courtesy of Regard
Founded by pre-med students Ben-Joseph, Nate Wilson and Thomas Moulia in 2017, Regard got its start through Cedars Sinai’s Techstars-backed accelerator program. It was at the accelerator program that Ben-Joseph observed physicians’ workflows and saw the need for a product like Regard’s; he recalled noticing how doctors would constantly pop in and out of a patient’s room, shuttling between the patient and a computer where they could enter data and notes.
“I think that’s why so many doctors are burning out now, as they just don’t have software that really enables them,” Joseph said.
Ben-Joseph—who coupled a bachelor’s degree in bioengineering from MIT with a master’s in computer science from Stanford—noted that Regard’s technology can automatically detect up to 50 of the most common medical conditions, including heart failure, diabetes, obesity, depression and anxiety.
“We have a 90% accuracy rate at the minimum,” he said. “Physicians will look at our software and accept it, but it’s not perfect. We tell physicians to treat it like the relationship [with a] medical student.”
This year’s focus will be different from the typical accelerator: Startups in this group will test their products directly with companies active in the ocean economy for four months, collecting data on what works, what doesn’t and further developing proof of concept. Braid Theory will help these startups come up with their business plan and pitches, and connect them to investors and potential partners in the field. In return, it takes an equity warrant that can be converted after three years.
The startups joining Braid Theory typically span industries like port logistics, aquaculture and energy, all of them aiming to test their technologies and untapped opportunities of the burgeoning industry. The accelerator’s goal is to bring those companies from pre-revenue into commercialization.
And all of them are looking to solve challenges within the blue economy ecosystem, many of which have also been exacerbated by the COVID-19 pandemic. With 31% of all goods floating across the ocean to and from the U.S. pass through the Port of L.A. and the Port of Long Beach, COVID-19 strangled supply chains and increased the volume of goods handled at L.A. 's premiere dock by nearly 16% between 2020 and 2021. This created numerous logistical challenges for the dwindling workforce at the nation’s busiest ports while increasing emissions.
“The thing that we're trying to think about are ways in which we can leverage biological systems and software to make more immediate changes in markets that have a low barrier to entry,” Braid Theory co-founder Jim Cooper said of accelerator’s approach to addressing a wide range of climate and logistical issues.
Cooper founded Braid Theory with his colleague Ann Carpenter after the pair left PortTechLA, a maritime and logistics incubator that shuttered in 2016. The two wanted to create an accelerator for port and ocean startups that went beyond logistics and took into account other promising sectors of the ocean economy, including sustainable fish and plant cultivation as well as tools to make the shipping sector more efficient.
Jim Cooper co-founded Braid Theory with his former colleague from PortTechLA, Ann Carpenter.Image courtesy of Braid Theory
Accelerators like Braid Theory are attempting to fill a void in the blue economy ecosystem. Despite being home to several universities with robust maritime research centers and a giant port infrastructure that could be better optimized, few startups survive in Los Angeles due to a lack of early stage funding, according to a 2020 report from the Los Angeles Economic Development Corporation. The accelerator provides funds and lab space and investor connections to nascent startups tackling a wide range of ocean-related problems.
The same report found that ocean startups, particularly early-stage ones, have a difficult time getting funding to accommodate the need for expensive lab equipment like centrifuges, chillers and pipettes. Startups in the blue economy space are primarily funded through federal and state dollars, NGOs and philanthropies, and competitions. But while angel funding has historically been slow to trickle into blue economy startups, some are starting to take note of the size of the market. In the first cohort, eight out of 12 startups received federal funding and investor funding with the help of Braid Theory.
The accelerator’s first graduating class included Florida-based Tampa DeepSea Xplorers, which makes seafaring autonomous vehicles that can scrape the bottom of the ocean and collect data faster for researchers to use as they study climate change impact or source for different medicines. Irvine-based ReCreate Energy is another graduate, which sources algae to create a more sustainable bio-crude oil that can be used at gas and oil refineries. While FlashQ, a Canada-based AI platform, is trying to reduce truck congestion and the emissions caused by them at the port by creating a scheduling platform that optimizes waiting and shipment times.
“The key is the opportunity, the opportunity was there,” Mimi Carter, a biotech investor with the Pasadena Angels, said of the business opportunities in the ocean market. “We saw a market that was unaddressed and is still an emerging market.”
A cluster of cranes at the Port of Long Beach.Photo by DJANA 575/ Shutterstock
To Carter’s credit, L.A. County boasts 75 miles of coastline that the LAEDC expects by 2023 will produce more than $80 billion in regional output, make roughly $50 billion in gross county product, and create over 200,000 direct and indirect jobs, according to a 2020 report. And, according to the Los Angeles Economic Development Corporation, economic and job growth in this sector relies heavily on the creation and implementation of new technologies, making angel investors necessary players in bolstering the ocean economy.
“Not only do we want to be investing in a sustainable product, but someone we count as a first mover,” Carter said of her investment approach. Already, groups like the Pasadena Angels and Techstars L.A. have made investments in the space. Reece Pacheco, a blue economy angel investor, is quietly working on a new venture fund around the blue tech space that hasn’t been announced yet.
“What we're starting to see is there are entrepreneurs who are either coming up through these research firms, or there are entrepreneurs who have cut their teeth elsewhere but care about the ocean,” Pacheco said.
There’s also Braid Theory’s neighbor (and landlord), AltaSea, the nonprofit research hub that has facilitated a number of partnerships with companies across the world.
“We do want to become the leading destination for the blue economy in terms of technology, finance, the education pathways it takes for students to get into these jobs in the future, and then the actual workforce development for the jobs of the future,” said Terry Tamminen, the new CEO of AltaSea.
Braid Theory’s makeshift shipping container-turned-lab is next door to a slew of other startups and projects in the blue economy space. USC researchers are incubating bubbling cauldrons of kelp that could create biofuels and alternative food sources. While Oceanographer Robert Ballard, who found the Titanic wreckage in 1985, set up a sea exploration program a few doors down.
“The ocean is more than a destination for tourists and a place for Jacques Cousteau and David Attenborough to go diving,” Tamminen said. “It's actually something right at our doorstep that we need to protect for our own survival, but it’s also an economic opportunity.”
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