We all know AI is hot and investors are keenly aware of that.Topbots interviewed 15 investorsto find out what sort of AI they are most excited about and where they are putting their money down. In what area do you think AI will make the biggest impact? Answer the brief survey below to express your opinion.
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Mariya Yao from Topbots compiled a list of 15 investors who had a keen interest in AI. Max Gazor of CRV, for example, believes that AI will be most disruptive to industries where there’s “too much data for humans to process, a severe shortage of expert talent, and a high willingness to pay for even small productivity boosts.” He’s particularly intrigued by the promise of Cerebras, a stealth startup that promises to architect processor chips specialized for deep learning which should outperform GPUs. Check out the article to hear what the 14 other investors had to say.
Rossignol, the ski manufacturer teamed up with sports tech company PIQ to put an AI-powered computer — complete with an LED display — right on a pair of skis. Called the Rossingol Hero Master, the idea is similar to the PIQ Robot accessory, which attaches to ski boots and analyzes your turns, speed and other data while you ride.
This takes that idea to the next level with the technology built right into the skis. Rather than just sending the data to an app on your phone, the Hero Master comes with its own LED display so skiers can see real-time stats and other information (it also tracks stats in its own app, as well). The prototype uses onboard sensors and PIQ’s algorithms to analyze speed, turning angles, and other data. Behind the scenes, PIQ’s technology is powered by an AI called GAIA, which the company says was built with data from thousands of athletes.
Self-driving cars and robots that can zoom on their own around warehouses are just some of what’s possible because of AI. But expect unforeseen consequences if researchers ignore the inherent ethical dilemmas in the emerging technology. That’s one of the takeaways from a panel about AI ethics and education in San Francisco that was hosted by the Future of Life Institute. Although humans typically program AI-powered robots to accomplish a particular goal, these robots will typically make decisions on their own to reach the goal, explained Benjamin Kuipers, a computer science professor and AI researcher at the University of Michigan.
Illah Nourbakhsh, a robotics professor at Carnegie Mellon University, said that educators need to teach computer science and robotics students a basic understanding of ethics, because the technologies they are creating are so powerful that they “are actually changing society.” He cited the examples of drones being used in warfare and AI technologies being used in advertising as ways cutting-edge technology is being used on a global scale and changing consumer behaviour.
At its height back in 2000, the U.S. cash equities trading desk at Goldman Sachs’s New York headquarters employed 600 traders, buying and selling stock on the orders of the investment bank’s large clients. Today there are just two equity traders left. Automated trading programs have taken over the rest of the work, supported by 200 computer engineers.
Marty Chavez, the company’s deputy chief financial officer and former chief information officer, explained all this to attendees at a symposium on computing’s impact on economic activity held by Harvard’s Institute for Applied Computational Science last month. The experience of its New York traders is just one early example of a transformation of Goldman Sachs, and increasingly other Wall Street firms, that began with the rise in computerized trading, but has accelerated over the past five years, moving into more fields of finance that humans once dominated. Chavez, who will become chief financial officer in April, says areas of trading like currencies and even parts of business lines like investment banking are moving in the same automated direction that equities have already traveled.
Behavioural healthcare has been getting a great deal of attention lately from health IT experts, and not just because of a growing recognition that good mental health is key to improving overall patients outcomes.
At Beacon Health Options, a behavioural health management service provider partnering with health plans and employers, identifying high-risk patients before they enter a crisis is a financial and clinical imperative – one that has broad implications for an incredibly vulnerable and difficult-to-treat population. Beacon has entered into a partnership with a machine learning company called Cyft to integrate more individualized risk stratification technology into its patient management processes.
This week, ZeroStackannounced the first-ever private cloud stack managed by an AI “learning engine,” delivering a true self-driving environment. ZeroStack’s solution involves on-premises hardware and software that is managed by a cloud-based, self-service portal. This
“cloud-managed” platform has enabled the company to collect, monitor, analyze and model over 1 million objects over the past 18 months. ZeroStack has taken this experience and all that data and used it to build its own AI known as Z-Brain. ZeroStack has leveraged the data to build algorithms to productize predictive models to help improve both short- and long-term decision making.
The solution will continue to collect telemetry data and leverage machine learning to provide new insights that can help customers have a better-running private cloud. Changes can then be fully automated or recommended to organizations that aren’t comfortable with an AI making decisions about their data centres.
Having recently launched a new method for ordering pizza, Domino’s latest endeavour to reach consumers is a Facebook Messenger integration meant to reach its audience at the core of where it spends most of its time. Simply by adding Domino’s to a new chat, Dom (the company’s interfacing chat bot) will prompt you to start a new order, reorder a previous selection or track your existing delivery. You’ll be able to surface a full menu and customize your order, and you won’t have to register for an account even if you don’t already have one.
Autonomous vehicle trials can now take place on public roads in Singapore, after the Road Traffic Act (RTA) was amended today to give the Land Transport Authority (LTA) a flexible regulatory framework to keep pace with the rapidly evolving technology.
Announcing the changes, Second Minister for Transport Ng Chee Meng said the Minister for Transport will now be allowed to create new rules which can place time and space limits on the AV trials, set standards for the design of the AV equipment, and impose requirements to share data from the trials.