"The addition of these faculty is expanding our interdisciplinary cohort of AI researchers across the entire campus. We expect these four outstanding faculty members are the first wave of hires who will increase our capabilities for AI and machine learning research across all five of Rensselaer's schools," said James Hendler, director of the AIRC, and a Rensselaer Tetherless World Professor of Computer, Web, and Cognitive Science. The Rensselaer-IBM AIRC is dedicated to advancing the science of artificial intelligence and enabling the use of AI and machine learning in research investigations, innovations, and applications of joint interest to both Rensselaer and IBM. The collaboration fosters the growth of AI and machine learning capabilities through faculty hires, by funding specific research initiatives, and through funding top graduate students as IBM AI Horizons fellows. For more information about the AIRC, watch this video.
"AI: More than Human," an exhibition that appeared at London's Barbican Art Gallery this past summer and can now be seen at the Forum in Groningen, the Netherlands, mirrors the muddled zeitgeist of artificial intelligence. It seeks to bring together the various elements of art, research, and commerce, displaying interactive installations as well as projects applying AI in fields as diverse as agriculture and neuroscience. Rather than untangle these distinct areas, Barbican curator Anna Holsgrove has chosen to intermix them under sections titled the Dream of AI, Mind Machines, Data Worlds, and Endless Evolution. I saw the show in the company of computational artist Memo Akten, who has been at the forefront of many micro-movements, learning new tools to study how they expand human creativity. At the Barbican, Akten presented the latest iteration of Learning to See (2017), an interactive installation in which machine-learning software analyzes a live feed from a camera pointed at a table covered with everyday objects.
Should restrictions be placed on the use of artificial intelligence? Google CEO Sundhar Pichai certainly does, and so do a host of other business leaders, including the CEOs of IBM and H2O.ai, as the chorus of calls for putting limits on the spread of the rapidly evolving technology gets louder. Pichai aired his opinion on the matter in an opinion piece published Monday in the Financial Times, titled "Why Google thinks we need to regulate AI" (story is protected by a paywall). In the story, Pichai, who is also CEO of Google's parent company, Alphabet, shared his lifelong love of technology, as well as the breakthroughs that his company is making in using AI to fight breast cancer, improve weather forecasts, and reduce flight delays. As virtuous as these AI-powered accomplishments are, they don't account for the negative impacts that AI also can have, Pichai wrote.
Set the buzz factor aside for a minute, and understand that artificial intelligence is doing real work for real companies. Even in the early stages of implementation, AI is providing enterprise organizations with benefits: Efficiency in operations, cybersecurity protections, innovation, and stronger customer relationships. However, the race to implement AI and machine learning also raises citizen privacy concerns. There have been revelations about the potential for algorithmic bias reflected in data sources. There has been speculation about AI applications going rogue.
Artificial Intelligence used to only exist in movies, in science fiction, but over the past decade AI has been replacing jobs, according to CNBC 30 percent of jobs risk being taken over by AI. Recently, one of the biggest tech guys of the industry Elon Musk stated that "AI will make jobs pointless." This has hence led us to wonder what jobs will be replaced by AI in the near future? This has also led us to worry whether our own jobs will be replaced. Therefore, I have compiled a list of jobs that will be replaced by AI in the near future, and also a list of jobs that probably won't be replaced.
In this AI Podcast, Serkan Piantino from Spell describes how his company is making machine learning easier. Piantino, CEO of the New York-based startup and former director of engineering for Facebook AI Research, explained to AI Podcast host Noah Kravitz how he's bringing compute power to those that don't have easy access to GPU clusters. We want to empower and transform the global workforce by making deep learning and artificial intelligence accessible to everyone. We believe that as organizations and individuals can harness the power of machine learning, our world will change quickly. Our mission is to make sure the technology driving this change is not mysterious and locked away but open and available for everyone.
FogHorn, a Silicon Valley-based startup, is one of the early movers in the IIoT and edge computing market. The company has raised a total of $47.5M in funding over four rounds. The latest funding came from a Series B round in October 2017 by Intel Capital and Saudi Aramco Energy Ventures. Founded in 2014, FogHorn has been squarely focused on edge analytics and edge intelligence. According to the company, its solution enables high-performance edge processing, optimized analytics, and heterogeneous applications to be hosted as close as possible to the control systems and physical sensor infrastructure that pervade the industrial world.
Artificial intelligence (AI) has already had a profound impact on business and society. Applied AI and machine learning (ML) are creating safer workplaces, more accurate health diagnoses and better access to information for global citizens. The Fourth Industrial Revolution will represent a new era of partnership between humans and AI, with potentially positive global impact. AI advancements can help society solve problems of income inequality and food insecurity to create a more "inclusive, human-centred future" according to the World Economic Forum (WEF). There is nearly limitless potential to AI innovation, which is both positive and frightening.
The most well-funded US artificial intelligence startup is Nuro, with just over $1B in disclosed equity funding, including a $940M Series B from SoftBank in February 2019. The California-based startup is developing autonomous vehicles, with a focus on last-mile delivery. Nuro is followed by New York's UiPath ($1B in disclosed equity funding) and Illinois' Avant ($655M). There are 9 unicorn startups on our map: robotic process automation vendor UiPath ($7.1B valuation), autonomous vehicles software provider Argo AI ($7B), agtech startup Indigo Agriculture ($3.5B), Nuro ($2.7B), alternative lending startup Avant ($1.9B), AI-powered predictive sales platform InsideSales.com The startup with the least funding on the list is Rhode Island's The Innovation Scout, a SaaS platform that connects enterprises with startups, accelerators, and more.
Shares of AMD, which will report earnings next week, rose 1% to a record high. Nvidia shares were also up 1%. Intel's stock was up 8.6% at $68.75, a level it has not seen since the peak of the dotcom boom in 2000, propelling the broader Nasdaq and the Philadelphia SE Semiconductor Index to record highs. Other major chipmakers such as Taiwan Semiconductor Manufacturing Co Ltd (TSMC) and Texas Instruments have also given upbeat forecasts this month, cementing hopes of a rebound in the market that fell nearly 12% in 2019, according to research firm Gartner. However, Intel has struggled with delays in its 10nm chip technology, losing its lead to rival TSMC in the race to supply to the "new data economy", which includes 5G, autonomous vehicles and artificial intelligence.