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) …
In a quiet corner of rural Hampshire, a robot called Rachel is pootling around an overgrown field. With bright orange casing and a smartphone clipped to her back end, she looks like a cross between an expensive toy and the kind of rover used on space missions. Up close, she has four USB ports, a disc-like GPS receiver, and the nuts and bolts of a system called Lidar, which enables her to orient herself using laser beams. She cost around £2,000 to make. Every three seconds, Rachel takes a closeup photograph of the plants and soil around her, which will build into a forensic map of the field and the wider farm beyond. After 20 minutes or so of this, she is momentarily disturbed by two of the farm's dogs, unsure what to make of her.
Mendelian is helping doctors diagnose rare genetic diseases faster. We are looking for an experienced Software Engineer passionate about NLP (natural language processing) who can help us design and deploy production biomedical text mining techniques and help us grow our Spark, Docker, Tensor Flow, Kubernetes infrastructure, as well as exploring and implementing new technologies and frameworks. Get in touch if you want to play a key role in a high-impact growing startup -- and if you are cool with building stuff that save people's lives. We built an online medical search engine supporting physicians in identifying genes that can explain certain rare conditions. Rare diseases (all 7,000 known types combined) affect over 350m people (more than cancer!) and take on average 7 years to diagnose in clinics.
Getting an autonomous vehicle to drive safely under idealized road conditions has technically been possible for a while now, but for the real world, the cars are going to have to learn to drive a little bit more like us. That's where Comma.ai, a startup founded by notorious iPhone hacker George Hotz, comes in. Rather than teaching its computer systems what a tree or a stop sign looks like, Comma.ai's Openpilot technology analyzes the patterns of everyday drivers to train its self-driving models. The company is pulling in millions of miles of driving data from a dashcam app called Chffr and a plug-in module called Panda, then aggregating that data to create an autonomous system that mimics human drivers.
The Massachusetts Institute of Technology announced this week that it would invest $1 billion in a new college of computer engineering: the Stephen A. Schwarzman College of Computing. And when the new building hosts its first classes in 2022, it'll be the largest structural addition to MIT's campus since the 1950s. Yet another AI-forward institution of note is Carnegie Mellon University (CMU), which partnered with Bosch's Center for Artificial Intelligence on an $8 million research project that goes through 2023. CMU has the additional distinction of being the first university to offer an undergraduate degree in AI, and it neighbors the ARM Institute, a $250 million initiative focused on accelerating the advancement of transformative robotics technologies and education in the U.S. manufacturing industry. This week, I participated in a tour of startups in Pittsburgh's blossoming robotics and automation industry, the majority of which draw on CMU not just for funding, but for expertise.
Perhaps China's biggest advantage is the sheer quantity of its data. Tencent's WeChat platform alone has over 889 million daily active users. Chinese e-commerce purchases are almost double U.S. totals. But China's data advantage involves more than just quantity. As China witnesses an explosion of O2O (online-to-offline) startups, their data is creating a new intelligence layer unparalleled in the West.
Pairing artificial intelligence and the blockchain might be what you would expect from a scammer looking to make a quick buck in 2018. The two concepts, after all, are two of the most buzzed about and least understood ideas in the tech universe. And the blockchain, the database design introduced by bitcoin, has lately been the most popular route for anyone looking to raise money for an idea that sounds too good to be true. Despite how easy the combination is to mock, the idea of applying the blockchain to AI is attracting a growing roster of serious entrepreneurs and venture capitalists, many of them with impressive academic credentials. Dawn Song, a computer science professor at UC Berkeley, and Ben Goertzel, the chief scientist at Hanson Robotics, have been among the big names arguing that the blockchain could be a crucial way to push back against some of the most worrying trends facing the field of artificial intelligence.
Whether you post every cup of coffee to Instagram, model, vlog, or occasionally watch a YouTube video, there is a new artificial intelligence startup that enables you to analyze your content and interactions by people, time, or even sentiment. Hey.ai is a new consumer analytics and insights platform that helps users to discover interesting insights about themselves based on the social data. Today, Hey.ai, announces the public launch of its personal analytics platform. Founded by Hari Rajagopalan and the team that previously co-founded Chatbase at Google's Area120 incubator, Hey.ai helps you to make sense of your data. The platforms also helps you discover potentially offensive or dubious content you or your friends may have created.
AI, or artificial intelligence, has taken root in biotech. In this article, we explore its newfound niches in the industry. Artificial intelligence (AI) and machine learning (ML) have become ubiquitous in tech startups, fueled largely by the increasing availability and amount of data and cheaper, more powerful computers. Now, if you are a new tech startup, ML or AI capabilities represent your minimum ticket to enter the industry. Over the past few years, AI and ML have started to peek their heads into the realm of biotech, due to an analogous transformation of biotech data.
Machine Learning (ML) is currently the verge that has the biggest impact on the banking industry. Take a look at how 5 largest banks of the US are using ML in their workflows. The Federal Reserve of the US has recently published an official report on the largest banks in the US. It lists quite a ton of banks, yet we are not surprised by the fact 5 largest and most influential banks of the US are investing heavily into imbuing their services with Artificial Intelligence (AI) and ML. Just to illustrate the efficiency of this approach -- these banks have closed more than 400 of local branches in 2016 and still met their margin thresholds, as mobile banking combined with the ML helped them meet and exceed their customer's expectations.
Artificial intelligence (AI) is advancing by leaps and bounds, with exciting new applications launching every day. But a blockchain-based startup believes the transition from an "information economy" to an "intelligence economy" will prove a bumpy ride for many people. Large corporations have built most of the common AI systems that many people use today. CEN says this centralization has the danger of monopolizing AI – leaving most of us out of the loop. According to CEN, this is not the only problem.