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#432271 Your Shopping Experience Is on the Verge ...

Exponential technologies (AI, VR, 3D printing, and networks) are radically reshaping traditional retail.

E-commerce giants (Amazon, Walmart, Alibaba) are digitizing the retail industry, riding the exponential growth of computation.

Many brick-and-mortar stores have already gone bankrupt, or migrated their operations online.

Massive change is occurring in this arena.

For those “real-life stores” that survive, an evolution is taking place from a product-centric mentality to an experience-based business model by leveraging AI, VR/AR, and 3D printing.

Let’s dive in.

E-Commerce Trends
Last year, 3.8 billion people were connected online. By 2024, thanks to 5G, stratospheric and space-based satellites, we will grow to 8 billion people online, each with megabit to gigabit connection speeds.

These 4.2 billion new digital consumers will begin buying things online, a potential bonanza for the e-commerce world.

At the same time, entrepreneurs seeking to service these four-billion-plus new consumers can now skip the costly steps of procuring retail space and hiring sales clerks.

Today, thanks to global connectivity, contract production, and turnkey pack-and-ship logistics, an entrepreneur can go from an idea to building and scaling a multimillion-dollar business from anywhere in the world in record time.

And while e-commerce sales have been exploding (growing from $34 billion in Q1 2009 to $115 billion in Q3 2017), e-commerce only accounted for about 10 percent of total retail sales in 2017.

In 2016, global online sales totaled $1.8 trillion. Remarkably, this $1.8 trillion was spent by only 1.5 billion people — a mere 20 percent of Earth’s global population that year.

There’s plenty more room for digital disruption.

AI and the Retail Experience
For the business owner, AI will demonetize e-commerce operations with automated customer service, ultra-accurate supply chain modeling, marketing content generation, and advertising.

In the case of customer service, imagine an AI that is trained by every customer interaction, learns how to answer any consumer question perfectly, and offers feedback to product designers and company owners as a result.

Facebook’s handover protocol allows live customer service representatives and language-learning bots to work within the same Facebook Messenger conversation.

Taking it one step further, imagine an AI that is empathic to a consumer’s frustration, that can take any amount of abuse and come back with a smile every time. As one example, meet Ava. “Ava is a virtual customer service agent, to bring a whole new level of personalization and brand experience to that customer experience on a day-to-day basis,” says Greg Cross, CEO of Ava’s creator, an Austrian company called Soul Machines.

Predictive modeling and machine learning are also optimizing product ordering and the supply chain process. For example, Skubana, a platform for online sellers, leverages data analytics to provide entrepreneurs constant product performance feedback and maintain optimal warehouse stock levels.

Blockchain is set to follow suit in the retail space. ShipChain and Ambrosus plan to introduce transparency and trust into shipping and production, further reducing costs for entrepreneurs and consumers.

Meanwhile, for consumers, personal shopping assistants are shifting the psychology of the standard shopping experience.

Amazon’s Alexa marks an important user interface moment in this regard.

Alexa is in her infancy with voice search and vocal controls for smart homes. Already, Amazon’s Alexa users, on average, spent more on Amazon.com when purchasing than standard Amazon Prime customers — $1,700 versus $1,400.

As I’ve discussed in previous posts, the future combination of virtual reality shopping, coupled with a personalized, AI-enabled fashion advisor will make finding, selecting, and ordering products fast and painless for consumers.

But let’s take it one step further.

Imagine a future in which your personal AI shopper knows your desires better than you do. Possible? I think so. After all, our future AIs will follow us, watch us, and observe our interactions — including how long we glance at objects, our facial expressions, and much more.

In this future, shopping might be as easy as saying, “Buy me a new outfit for Saturday night’s dinner party,” followed by a surprise-and-delight moment in which the outfit that arrives is perfect.

In this future world of AI-enabled shopping, one of the most disruptive implications is that advertising is now dead.

In a world where an AI is buying my stuff, and I’m no longer in the decision loop, why would a big brand ever waste money on a Super Bowl advertisement?

The dematerialization, demonetization, and democratization of personalized shopping has only just begun.

The In-Store Experience: Experiential Retailing
In 2017, over 6,700 brick-and-mortar retail stores closed their doors, surpassing the former record year for store closures set in 2008 during the financial crisis. Regardless, business is still booming.

As shoppers seek the convenience of online shopping, brick-and-mortar stores are tapping into the power of the experience economy.

Rather than focusing on the practicality of the products they buy, consumers are instead seeking out the experience of going shopping.

The Internet of Things, artificial intelligence, and computation are exponentially improving the in-person consumer experience.

As AI dominates curated online shopping, AI and data analytics tools are also empowering real-life store owners to optimize staffing, marketing strategies, customer relationship management, and inventory logistics.

In the short term,retail store locations will serve as the next big user interface for production 3D printing (custom 3D printed clothes at the Ministry of Supply), virtual and augmented reality (DIY skills clinics), and the Internet of Things (checkout-less shopping).

In the long term,we’ll see how our desire for enhanced productivity and seamless consumption balances with our preference for enjoyable real-life consumer experiences — all of which will be driven by exponential technologies.

One thing is certain: the nominal shopping experience is on the verge of a major transformation.

Implications
The convergence of exponential technologies has already revamped how and where we shop, how we use our time, and how much we pay.

Twenty years ago, Amazon showed us how the web could offer each of us the long tail of available reading material, and since then, the world of e-commerce has exploded.

And yet we still haven’t experienced the cost savings coming our way from drone delivery, the Internet of Things, tokenized ecosystems, the impact of truly powerful AI, or even the other major applications for 3D printing and AR/VR.

Perhaps nothing will be more transformed than today’s $20 trillion retail sector.

Hold on, stay tuned, and get your AI-enabled cryptocurrency ready.

Join Me
Abundance Digital Online Community: I’ve created a digital/online community of bold, abundance-minded entrepreneurs called Abundance Digital.

Abundance Digital is my ‘onramp’ for exponential entrepreneurs — those who want to get involved and play at a higher level. Click here to learn more.

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Posted in Human Robots

#432262 How We Can ‘Robot-Proof’ Education ...

Like millions of other individuals in the workforce, you’re probably wondering if you will one day be replaced by a machine. If you’re a student, you’re probably wondering if your chosen profession will even exist by the time you’ve graduated. From driving to legal research, there isn’t much that technology hasn’t already automated (or begun to automate). Many of us will need to adapt to this disruption in the workforce.

But it’s not enough for students and workers to adapt, become lifelong learners, and re-skill themselves. We also need to see innovation and initiative at an institutional and governmental level. According to research by The Economist, almost half of all jobs could be automated by computers within the next two decades, and no government in the world is prepared for it.

While many see the current trend in automation as a terrifying threat, others see it as an opportunity. In Robot-Proof: Higher Education in the Age of Artificial Intelligence, Northeastern University president Joseph Aoun proposes educating students in a way that will allow them to do the things that machines can’t. He calls for a new paradigm that teaches young minds “to invent, to create, and to discover”—filling the relevant needs of our world that robots simply can’t fill. Aoun proposes a much-needed novel framework that will allow us to “robot-proof” education.

Literacies and Core Cognitive Capacities of the Future
Aoun lays a framework for a new discipline, humanics, which discusses the important capacities and literacies for emerging education systems. At its core, the framework emphasizes our uniquely human abilities and strengths.

The three key literacies include data literacy (being able to manage and analyze big data), technological literacy (being able to understand exponential technologies and conduct computational thinking), and human literacy (being able to communicate and evaluate social, ethical, and existential impact).

Beyond the literacies, at the heart of Aoun’s framework are four cognitive capacities that are crucial to develop in our students if they are to be resistant to automation: critical thinking, systems thinking, entrepreneurship, and cultural agility.

“These capacities are mindsets rather than bodies of knowledge—mental architecture rather than mental furniture,” he writes. “Going forward, people will still need to know specific bodies of knowledge to be effective in the workplace, but that alone will not be enough when intelligent machines are doing much of the heavy lifting of information. To succeed, tomorrow’s employees will have to demonstrate a higher order of thought.”

Like many other experts in education, Joseph Aoun emphasizes the importance of critical thinking. This is important not just when it comes to taking a skeptical approach to information, but also being able to logically break down a claim or problem into multiple layers of analysis. We spend so much time teaching students how to answer questions that we often neglect to teach them how to ask questions. Asking questions—and asking good ones—is a foundation of critical thinking. Before you can solve a problem, you must be able to critically analyze and question what is causing it. This is why critical thinking and problem solving are coupled together.

The second capacity, systems thinking, involves being able to think holistically about a problem. The most creative problem-solvers and thinkers are able to take a multidisciplinary perspective and connect the dots between many different fields. According to Aoun, it “involves seeing across areas that machines might be able to comprehend individually but that they cannot analyze in an integrated way, as a whole.” It represents the absolute opposite of how most traditional curricula is structured with emphasis on isolated subjects and content knowledge.

Among the most difficult-to-automate tasks or professions is entrepreneurship.

In fact, some have gone so far as to claim that in the future, everyone will be an entrepreneur. Yet traditionally, initiative has been something students show in spite of or in addition to their schoolwork. For most students, developing a sense of initiative and entrepreneurial skills has often been part of their extracurricular activities. It needs to be at the core of our curricula, not a supplement to it. At its core, teaching entrepreneurship is about teaching our youth to solve complex problems with resilience, to become global leaders, and to solve grand challenges facing our species.

Finally, with an increasingly globalized world, there is a need for more workers with cultural agility, the ability to build amongst different cultural contexts and norms.

One of the major trends today is the rise of the contingent workforce. We are seeing an increasing percentage of full-time employees working on the cloud. Multinational corporations have teams of employees collaborating at different offices across the planet. Collaboration across online networks requires a skillset of its own. As education expert Tony Wagner points out, within these digital contexts, leadership is no longer about commanding with top-down authority, but rather about leading by influence.

An Emphasis on Creativity
The framework also puts an emphasis on experiential or project-based learning, wherein the heart of the student experience is not lectures or exams but solving real-life problems and learning by doing, creating, and executing. Unsurprisingly, humans continue to outdo machines when it comes to innovating and pushing intellectual, imaginative, and creative boundaries, making jobs involving these skills the hardest to automate.

In fact, technological trends are giving rise to what many thought leaders refer to as the imagination economy. This is defined as “an economy where intuitive and creative thinking create economic value, after logical and rational thinking have been outsourced to other economies.” Consequently, we need to develop our students’ creative abilities to ensure their success against machines.

In its simplest form, creativity represents the ability to imagine radical ideas and then go about executing them in reality.

In many ways, we are already living in our creative imaginations. Consider this: every invention or human construct—whether it be the spaceship, an architectural wonder, or a device like an iPhone—once existed as a mere idea, imagined in someone’s mind. The world we have designed and built around us is an extension of our imaginations and is only possible because of our creativity. Creativity has played a powerful role in human progress—now imagine what the outcomes would be if we tapped into every young mind’s creative potential.

The Need for a Radical Overhaul
What is clear from the recommendations of Aoun and many other leading thinkers in this space is that an effective 21st-century education system is radically different from the traditional systems we currently have in place. There is a dramatic contrast between these future-oriented frameworks and the way we’ve structured our traditional, industrial-era and cookie-cutter-style education systems.

It’s time for a change, and incremental changes or subtle improvements are no longer enough. What we need to see are more moonshots and disruption in the education sector. In a world of exponential growth and accelerating change, it is never too soon for a much-needed dramatic overhaul.

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Posted in Human Robots

#432036 The Power to Upgrade Our Own Biology Is ...

Upgrading our biology may sound like science fiction, but attempts to improve humanity actually date back thousands of years. Every day, we enhance ourselves through seemingly mundane activities such as exercising, meditating, or consuming performance-enhancing drugs, such as caffeine or adderall. However, the tools with which we upgrade our biology are improving at an accelerating rate and becoming increasingly invasive.

In recent decades, we have developed a wide array of powerful methods, such as genetic engineering and brain-machine interfaces, that are redefining our humanity. In the short run, such enhancement technologies have medical applications and may be used to treat many diseases and disabilities. Additionally, in the coming decades, they could allow us to boost our physical abilities or even digitize human consciousness.

What’s New?
Many futurists argue that our devices, such as our smartphones, are already an extension of our cortex and in many ways an abstract form of enhancement. According to philosophers Andy Clark and David Chalmers’ theory of extended mind, we use technology to expand the boundaries of the human mind beyond our skulls.

One can argue that having access to a smartphone enhances one’s cognitive capacities and abilities and is an indirect form of enhancement of its own. It can be considered an abstract form of brain-machine interface. Beyond that, wearable devices and computers are already accessible in the market, and people like athletes use them to boost their progress.

However, these interfaces are becoming less abstract.

Not long ago, Elon Musk announced a new company, Neuralink, with the goal of merging the human mind with AI. The past few years have seen remarkable developments in both the hardware and software of brain-machine interfaces. Experts are designing more intricate electrodes while programming better algorithms to interpret neural signals. Scientists have already succeeded in enabling paralyzed patients to type with their minds, and are even allowing brains to communicate with one another purely through brainwaves.

Ethical Challenges of Enhancement
There are many social and ethical implications of such advancements.

One of the most fundamental issues with cognitive and physical enhancement techniques is that they contradict the very definition of merit and success that society has relied on for millennia. Many forms of performance-enhancing drugs have been considered “cheating” for the longest time.

But perhaps we ought to revisit some of our fundamental assumptions as a society.

For example, we like to credit hard work and talent in a fair manner, where “fair” generally implies that an individual has acted in a way that has served him to merit his rewards. If you are talented and successful, it is considered to be because you chose to work hard and take advantage of the opportunities available to you. But by these standards, how much of our accomplishments can we truly be credited for?

For instance, the genetic lottery can have an enormous impact on an individual’s predisposition and personality, which can in turn affect factors such as motivation, reasoning skills, and other mental abilities. Many people are born with a natural ability or a physique that gives them an advantage in a particular area or predisposes them to learn faster. But is it justified to reward someone for excellence if their genes had a pivotal role in their path to success?

Beyond that, there are already many ways in which we take “shortcuts” to better mental performance. Seemingly mundane activities like drinking coffee, meditating, exercising, or sleeping well can boost one’s performance in any given area and are tolerated by society. Even the use of language can have positive physical and psychological effects on the human brain, which can be liberating to the individual and immensely beneficial to society at large. And let’s not forget the fact that some of us are born into more access to developing literacy than others.

Given all these reasons, one could argue that cognitive abilities and talents are currently derived more from uncontrollable factors and luck than we like to admit. If anything, technologies like brain-machine interfaces can enhance individual autonomy and allow one a choice of how capable they become.

As Karim Jebari points out (pdf), if a certain characteristic or trait is required to perform a particular role and an individual lacks this trait, would it be wrong to implement the trait through brain-machine interfaces or genetic engineering? How is this different from any conventional form of learning or acquiring a skill? If anything, this would be removing limitations on individuals that result from factors outside their control, such as biological predisposition (or even traits induced from traumatic experiences) to act or perform in a certain way.

Another major ethical concern is equality. As with any other emerging technology, there are valid concerns that cognitive enhancement tech will benefit only the wealthy, thus exacerbating current inequalities. This is where public policy and regulations can play a pivotal role in the impact of technology on society.

Enhancement technologies can either contribute to inequality or allow us to solve it. Educating and empowering the under-privileged can happen at a much more rapid rate, helping the overall rate of human progress accelerate. The “normal range” for human capacity and intelligence, however it is defined, could shift dramatically towards more positive trends.

Many have also raised concerns over the negative applications of government-led biological enhancement, including eugenics-like movements and super-soldiers. Naturally, there are also issues of safety, security, and well-being, especially within the early stages of experimentation with enhancement techniques.

Brain-machine interfaces, for instance, could have implications on autonomy. The interface involves using information extracted from the brain to stimulate or modify systems in order to accomplish a goal. This part of the process can be enhanced by implementing an artificial intelligence system onto the interface—one that exposes the possibility of a third party potentially manipulating individual’s personalities, emotions, and desires by manipulating the interface.

A Tool For Transcendence
It’s important to discuss these risks, not so that we begin to fear and avoid such technologies, but so that we continue to advance in a way that minimizes harm and allows us to optimize the benefits.

Stephen Hawking notes that “with genetic engineering, we will be able to increase the complexity of our DNA, and improve the human race.” Indeed, the potential advantages of modifying biology are revolutionary. Doctors would gain access to a powerful tool to tackle disease, allowing us to live longer and healthier lives. We might be able to extend our lifespan and tackle aging, perhaps a critical step to becoming a space-faring species. We may begin to modify the brain’s building blocks to become more intelligent and capable of solving grand challenges.

In their book Evolving Ourselves, Juan Enriquez and Steve Gullans describe a world where evolution is no longer driven by natural processes. Instead, it is driven by human choices, through what they call unnatural selection and non-random mutation. Human enhancement is bringing us closer to such a world—it could allow us to take control of our evolution and truly shape the future of our species.

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Posted in Human Robots

#432021 Unleashing Some of the Most Ambitious ...

At Singularity University, we are unleashing a generation of women who are smashing through barriers and starting some of the most ambitious technology companies on the planet.

Singularity University was founded in 2008 to empower leaders to use exponential technologies to solve our world’s biggest challenges. Our flagship program, the Global Solutions Program, has historically brought 80 entrepreneurs from around the world to Silicon Valley for 10 weeks to learn about exponential technologies and create moonshot startups that improve the lives of a billion people within a decade.

After nearly 10 years of running this program, we can say that about 70 percent of our successful startups have been founded or co-founded by female entrepreneurs (see below for inspiring examples of their work). This is in sharp contrast to the typical 10–20 percent of venture-backed tech companies that have a female founder, as reported by TechCrunch.

How are we so dramatically changing the game? While 100 percent of the credit goes to these courageous women, as both an alumna of the Global Solutions Program and our current vice chair of Global Grand Challenges, I want to share my reflections on what has worked.

At the most basic level, it is essential to deeply believe in the inherent worth, intellectual genius, and profound entrepreneurial caliber of women. While this may seem obvious, this is not the way our world currently thinks—we live in a world that sees women’s ideas, contributions, work, and existence as inherently less valuable than men’s.

For example, a 2017 Harvard Business Review article noted that even when women engage in the same behaviors and work as men, their work is considered less valuable simply because a woman did the job. An additional 2017 Harvard Business Review article showed that venture capitalists are significantly less likely to invest in female entrepreneurs and are more likely to ask men questions about the potential success of their companies while grilling women about the potential downfalls of their companies.

This doubt and lack of recognition of the genius and caliber of women is also why women are still paid less than men for completing identical work. Further, it’s why women’s work often gets buried in “number two” support roles of men in leadership roles and why women are expected to take on second shifts at home managing tedious household chores in addition to their careers. I would also argue these views as well as the rampant sexual harassment, assault, and violence against women that exists today stems from stubborn, historical, patriarchal views of women as living for the benefit of men, rather than for their own sovereignty and inherent value.

As with any other business, Singularity University has not been immune to these biases but is resolutely focused on helping women achieve intellectual genius and global entrepreneurial caliber by harnessing powerful exponential technologies.

We create an environment where women can physically and intellectually thrive free of harassment to reach their full potential, and we are building a broader ecosystem of alumni and partners around the world who not only support our female entrepreneurs throughout their entrepreneurial journeys, but who are also sparking and leading systemic change in their own countries and communities.

Respecting the Intellectual Genius and Entrepreneurial Caliber of Women
The entrepreneurial legends of our time—Steve Jobs, Elon Musk, Mark Zuckerberg, Bill Gates, Jeff Bezos, Larry Page, Sergey Brin—are men who have all built their empires using exponential technologies. Exponential technologies helped these men succeed faster and with greater impact due to Moore’s Law and the Law of Accelerating Returns which states that any digital technology (such as computing, software, artificial intelligence, robotics, quantum computing, biotechnology, nanotechnology, etc.) will become more sophisticated while dramatically falling in price, enabling rapid scaling.

Knowing this, an entrepreneur can plot her way to an ambitious global solution over time, releasing new applications just as the technology and market are ready. Furthermore, these rapidly advancing technologies often converge to create new tools and opportunities for innovators to come up with novel solutions to challenges that were previously impossible to solve in the past.

For various reasons, women have not pursued exponential technologies as aggressively as men (or were prevented or discouraged from doing so).

While more women are founding firms at a higher rate than ever in wealthy countries like the United States, the majority are small businesses in linear industries that have been around for hundreds of years, such as social assistance, health, education, administrative, or consulting services. In lower-income countries, international aid agencies and nonprofits often encourage women to pursue careers in traditional handicrafts, micro-enterprise, and micro-finance. While these jobs have historically helped women escape poverty and gain financial independence, they have done little to help women realize the enormous power, influence, wealth, and ability to transform the world for the better that comes from building companies, nonprofits, and solutions grounded in exponential technologies.

We need women to be working with exponential technologies today in order to be powerful leaders in the future.

Participants who enroll in our Global Solutions Program spend the first few weeks of the program learning about exponential technologies from the world’s experts and the final weeks launching new companies or nonprofits in their area of interest. We require that women (as well as men) utilize exponential technologies as a condition of the program.

In this sense, at Singularity University women start their endeavors with all of us believing and behaving in a way that assumes they can achieve global impact at the level of our world’s most legendary entrepreneurs.

Creating an Environment Where Woman Can Thrive
While challenging women to embrace exponential technologies is essential, it is also important to create an environment where women can thrive. In particular, this means ensuring women feel at home on our campus by ensuring gender diversity, aggressively addressing sexual harassment, and flipping the traditional culture from one that penalizes women, to one that values and supports them.

While women were initially only a small minority of our Global Solutions Program, in 2014, we achieved around 50% female attendance—a statistic that has since held over the years.

This is not due to a quota—every year we turn away extremely qualified women from our program (and are working on reformulating the program to allow more people to participate in the future.) While part of our recruiting success is due to the efforts of our marketing team, we also benefited from the efforts of some of our early female founders, staff, faculty, and alumnae including Susan Fonseca, Emeline Paat-Dahlstrom, Kathryn Myronuk, Lajuanda Asemota, Chiara Giovenzana, and Barbara Silva Tronseca.

As early champions of Singularity University these women not only launched diversity initiatives and personally reached out to women, but were crucial role models holding leadership roles in our community. In addition, Fonseca and Silva also both created multiple organizations and initiatives outside of (or in conjunction with) the university that produced additional pipelines of female candidates. In particular, Fonseca founded Women@TheFrontier as well as other organizations focusing on women, technology and innovation, and Silva founded BestInnovation (a woman’s accelerator in Latin America), as well as led Singularity University’s Chilean Chapter and founded the first SingularityU Summit in Latin America.

These women’s efforts in globally scaling Singularity University have been critical in ensuring woman around the world now see Singularity University as a place where they can lead and shape the future.

Also, thanks to Google (Alphabet) and many of our alumni and partners, we were able to provide full scholarships to any woman (or man) to attend our program regardless of their economic status. Google committed significant funding for full scholarships while our partners around the world also hosted numerous Global Impact Competitions, where entrepreneurs pitched their solutions to their local communities with the winners earning a full scholarship funded by our partners to attend the Global Solution Program as their prize.

Google and our partners’ support helped individuals attend our program and created a wider buzz around exponential technology and social change around the world in local communities. It led to the founding of 110 SU chapters in 55 countries.

Another vital aspect of our work in supporting women has been trying to create a harassment-free environment. Throughout the Silicon Valley, more than 60% of women convey that while they are trying to build their companies or get their work done, they are also dealing with physical and sexual harassment while being demeaned and excluded in other ways in the workplace. We have taken actions to educate and train our staff on how to deal with situations should they occur. All staff receives training on harassment when they join Singularity University, and all Global Solutions Program participants attend mandatory trainings on sexual harassment when they first arrive on campus. We also have male and female wellness counselors available that can offer support to both individuals and teams of entrepreneurs throughout the entire program.

While at a minimum our campus must be physically safe for women, we also strive to create a culture that values women and supports them in the additional challenges and expectations they face. For example, one of our 2016 female participants, Van Duesterberg, was pregnant during the program and said that instead of having people doubt her commitment to her startup or make her prove she could handle having a child and running a start-up at the same time, people went out of their way to help her.

“I was the epitome of a person not supposed to be doing a startup,” she said. “I was pregnant and would need to take care of my child. But Singularity University was supportive and encouraging. They made me feel super-included and that it was possible to do both. I continue to come back to campus even though the program is over because the network welcomes me and supports me rather than shuts me out because of my physical limitations. Rather than making me feel I had to prove myself, everyone just understood me and supported me, whether it was bringing me healthy food or recommending funders.”

Another strength that we have in supporting women is that after the Global Solutions Program, entrepreneurs have access to a much larger ecosystem.

Many entrepreneurs partake in SU Ventures, which can provide further support to startups as they develop, and we now have a larger community of over 200,000 people in almost every country. These members have often attended other Singularity University programs, events and are committed to our vision of the future. These women and men consist of business executives, Fortune 500 companies, investors, nonprofit and government leaders, technologists, members of the media, and other movers and shakers in the world. They have made introductions for our founders, collaborated with them on business ventures, invested in them and showcased their work at high profile events around the world.

Building for the Future
While our Global Solutions Program is making great strides in supporting female entrepreneurs, there is always more work to do. We are now focused on achieving the same degree of female participation across all of our programs and actively working to recruit and feature more female faculty and speakers on stage. As our community grows and scales around the world, we are also intent at how to best uphold our values and policies around sexual harassment across diverse locations and cultures. And like all businesses everywhere, we are focused on recruiting more women to serve at senior leadership levels within SU. As we make our way forward, we hope that you will join us in boldly leading this change and recognizing the genius and power of female entrepreneurs.

Meet Some of Our Female Moonshots
While we have many remarkable female entrepreneurs in the Singularity University community, the list below features a few of the women who have founded or co-founded companies at the Global Solutions Program that have launched new industries and are on their way to changing the way our world works for millions if not billions of people.

Jessica Scorpio co-founded Getaround in 2009. Getaround was one of the first car-sharing service platforms allowing anyone to rent out their car using a smartphone app. GetAround was a revolutionary idea in 2009, not only because smartphones and apps were still in their infancy, but because it was unthinkable that a technology startup could disrupt the major entrenched car, transport, and logistics companies. Scorpio’s early insights and pioneering entrepreneurial work brought to life new ways that humans relate to car sharing and the future self-driving car industry. Scorpio and Getaround have won numerous awards, and Getaround now serves over 200,000 members.

Paola Santana co-founded Matternet in 2011, which pioneered the commercial drone transport industry. In 2011, only military, hobbyists or the film industry used drones. Matternet demonstrated that drones could be used for commercial transport in short point-to-point deliveries for high-value goods laying the groundwork for drone transport around the world as well as some of the early thinking behind the future flying car industry. Santana was also instrumental in shaping regulations for the use of commercial drones around the world, making the industry possible.

Sara Naseri co-founded Qurasense in 2014, a life sciences start-up that analyzes women’s health through menstrual blood allowing women to track their health every month. Naseri is shifting our understanding of women’s menstrual blood as a waste product and something “not to be talked about,” to a rich, non-invasive, abundant source of information about women’s health.

Abi Ramanan co-founded ImpactVision in 2015, a software company that rapidly analyzes the quality and characteristics of food through hyperspectral images. Her long-term vision is to digitize food supply chains to reduce waste and fraud, given that one-third of all food is currently wasted before it reaches our plates. Ramanan is also helping the world understand that hyperspectral technology can be used in many industries to help us “see the unseen” and augment our ability to sense and understand what is happening around us in a much more sophisticated way.

Anita Schjøll Brede and Maria Ritola co-founded Iris AI in 2015, an artificial intelligence company that is building an AI research assistant that drastically improves the efficiency of R&D research and breaks down silos between different industries. Their long-term vision is for Iris AI to become smart enough that she will become a scientist herself. Fast Company named Iris AI one of the 10 most innovative artificial intelligence companies for 2017.

Hla Hla Win co-founded 360ed in 2016, a startup that conducts teacher training and student education through virtual reality and augmented reality in Myanmar. They have already connected teachers from 128 private schools in Myanmar with schools teaching 21st-century skills in Silicon Valley and around the world. Their moonshot is to build a platform where any teacher in the world can share best practices in teachers’ training. As they succeed, millions of children in some of the poorest parts of the world will have access to a 21st-century education.

Min FitzGerald and Van Duesterberg cofounded Nutrigene in 2017, a startup that ships freshly formulated, tailor-made supplement elixirs directly to consumers. Their long-term vision is to help people optimize their health using actionable data insights, so people can take a guided, tailored approaching to thriving into longevity.

Anna Skaya co-founded Basepaws in 2016, which created the first genetic test for cats and is building a community of citizen scientist pet owners. They are creating personalized pet products such as supplements, therapeutics, treats, and toys while also developing a database of genetic data for future research that will help both humans and pets over the long term.

Olivia Ramos co-founded Deep Blocks in 2016, a startup using artificial intelligence to integrate and streamline the processes of architecture, pre-construction, and real estate. As digital technologies, artificial intelligence, and robotics advance, it no longer makes sense for these industries to exist separately. Ramos recognized the tremendous value and efficiency that it is now possible to unlock with exponential technologies and creating an integrated industry in the future.

Please also visit our website to learn more about other female entrepreneurs, staff and faculty who are pioneering the future through exponential technologies. Continue reading

Posted in Human Robots

#431995 The 10 Grand Challenges Facing Robotics ...

Robotics research has been making great strides in recent years, but there are still many hurdles to the machines becoming a ubiquitous presence in our lives. The journal Science Robotics has now identified 10 grand challenges the field will have to grapple with to make that a reality.

Editors conducted an online survey on unsolved challenges in robotics and assembled an expert panel of roboticists to shortlist the 30 most important topics, which were then grouped into 10 grand challenges that could have major impact in the next 5 to 10 years. Here’s what they came up with.

1. New Materials and Fabrication Schemes
Roboticists are beginning to move beyond motors, gears, and sensors by experimenting with things like artificial muscles, soft robotics, and new fabrication methods that combine multiple functions in one material. But most of these advances have been “one-off” demonstrations, which are not easy to combine.

Multi-functional materials merging things like sensing, movement, energy harvesting, or energy storage could allow more efficient robot designs. But combining these various properties in a single machine will require new approaches that blend micro-scale and large-scale fabrication techniques. Another promising direction is materials that can change over time to adapt or heal, but this requires much more research.

2. Bioinspired and Bio-Hybrid Robots
Nature has already solved many of the problems roboticists are trying to tackle, so many are turning to biology for inspiration or even incorporating living systems into their robots. But there are still major bottlenecks in reproducing the mechanical performance of muscle and the ability of biological systems to power themselves.

There has been great progress in artificial muscles, but their robustness, efficiency, and energy and power density need to be improved. Embedding living cells into robots can overcome challenges of powering small robots, as well as exploit biological features like self-healing and embedded sensing, though how to integrate these components is still a major challenge. And while a growing “robo-zoo” is helping tease out nature’s secrets, more work needs to be done on how animals transition between capabilities like flying and swimming to build multimodal platforms.

3. Power and Energy
Energy storage is a major bottleneck for mobile robotics. Rising demand from drones, electric vehicles, and renewable energy is driving progress in battery technology, but the fundamental challenges have remained largely unchanged for years.

That means that in parallel to battery development, there need to be efforts to minimize robots’ power utilization and give them access to new sources of energy. Enabling them to harvest energy from their environment and transmitting power to them wirelessly are two promising approaches worthy of investigation.

4. Robot Swarms
Swarms of simple robots that assemble into different configurations to tackle various tasks can be a cheaper, more flexible alternative to large, task-specific robots. Smaller, cheaper, more powerful hardware that lets simple robots sense their environment and communicate is combining with AI that can model the kind of behavior seen in nature’s flocks.

But there needs to be more work on the most efficient forms of control at different scales—small swarms can be controlled centrally, but larger ones need to be more decentralized. They also need to be made robust and adaptable to the changing conditions of the real world and resilient to deliberate or accidental damage. There also needs to be more work on swarms of non-homogeneous robots with complementary capabilities.

5. Navigation and Exploration
A key use case for robots is exploring places where humans cannot go, such as the deep sea, space, or disaster zones. That means they need to become adept at exploring and navigating unmapped, often highly disordered and hostile environments.

The major challenges include creating systems that can adapt, learn, and recover from navigation failures and are able to make and recognize new discoveries. This will require high levels of autonomy that allow the robots to monitor and reconfigure themselves while being able to build a picture of the world from multiple data sources of varying reliability and accuracy.

6. AI for Robotics
Deep learning has revolutionized machines’ ability to recognize patterns, but that needs to be combined with model-based reasoning to create adaptable robots that can learn on the fly.

Key to this will be creating AI that’s aware of its own limitations and can learn how to learn new things. It will also be important to create systems that are able to learn quickly from limited data rather than the millions of examples used in deep learning. Further advances in our understanding of human intelligence will be essential to solving these problems.

7. Brain-Computer Interfaces
BCIs will enable seamless control of advanced robotic prosthetics but could also prove a faster, more natural way to communicate instructions to robots or simply help them understand human mental states.

Most current approaches to measuring brain activity are expensive and cumbersome, though, so work on compact, low-power, and wireless devices will be important. They also tend to involve extended training, calibration, and adaptation due to the imprecise nature of reading brain activity. And it remains to be seen if they will outperform simpler techniques like eye tracking or reading muscle signals.

8. Social Interaction
If robots are to enter human environments, they will need to learn to deal with humans. But this will be difficult, as we have very few concrete models of human behavior and we are prone to underestimate the complexity of what comes naturally to us.

Social robots will need to be able to perceive minute social cues like facial expression or intonation, understand the cultural and social context they are operating in, and model the mental states of people they interact with to tailor their dealings with them, both in the short term and as they develop long-standing relationships with them.

9. Medical Robotics
Medicine is one of the areas where robots could have significant impact in the near future. Devices that augment a surgeon’s capabilities are already in regular use, but the challenge will be to increase the autonomy of these systems in such a high-stakes environment.

Autonomous robot assistants will need to be able to recognize human anatomy in a variety of contexts and be able to use situational awareness and spoken commands to understand what’s required of them. In surgery, autonomous robots could perform the routine steps of a procedure, giving way to the surgeon for more complicated patient-specific bits.

Micro-robots that operate inside the human body also hold promise, but there are still many roadblocks to their adoption, including effective delivery systems, tracking and control methods, and crucially, finding therapies where they improve on current approaches.

10. Robot Ethics and Security
As the preceding challenges are overcome and robots are increasingly integrated into our lives, this progress will create new ethical conundrums. Most importantly, we may become over-reliant on robots.

That could lead to humans losing certain skills and capabilities, making us unable to take the reins in the case of failures. We may end up delegating tasks that should, for ethical reasons, have some human supervision, and allow people to pass the buck to autonomous systems in the case of failure. It could also reduce self-determination, as human behaviors change to accommodate the routines and restrictions required for robots and AI to work effectively.

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