A Rye resident, Adler got to giant robots by way of other ventures. He launched his first startup in high school when he and a classmate founded a matchmaking site called amour.com. He said they continued to grow the company while they were students at Yale "before the internet was a big deal" and about the same time he got an offer from a venture capitalist to start a medical device company. Amour.com was sold to a French company that wanted the domain name and Adler began developing wireless miniature devices for tracking vital signs. He said he worked on that for six years, got it through the FDA and "raised a lot of money," before the dotcom crash of 2001.
In late August, an astronaut on board the International Space Station remotely operated a humanoid robot to inspect and repair a solar farm on Mars--or at least a simulated Mars environment, which in this case is a room with rust-colored floors, walls, and curtains at the German Aerospace Center, or DLR, in Oberpfaffenhofen, near Munich. European Space Agency astronaut Paolo Nespoli commanded the humanoid, called Rollin' Justin, as the robot performed a series of navigation, maintenance, and repair tasks. Instead of relying on direct teleoperation, Nespoli used a tablet computer to issue high-level commands to the robot. In one task, he used the tablet to position the robot and have it take pictures from different angles. Another command instructed Justin to grasp a cable and connect it to a data port.
I work with a lot of data science teams at our enterprise customers, and in the past several months, I've seen an increased adoption of machine learning and deep learning frameworks for a wide range of applications. As with other use cases in big data analytics and data science, these data science teams want to run their preferred deep learning frameworks and tools in Docker containers on the BlueData EPIC software platform. So part of my job is trying out these cool new tools and making sure they run as they should on our platform -- and to help develop new functionality that might solve any challenges. One of the most popular open-source frameworks for deep learning and machine learning is TensorFlow. TensorFlow was originally developed by researchers and engineers working at Google to conduct machine learning for deep neural networks research.
In a Silicon Valley startup, Fetch Robotics, about 50 employees, and 125 robots work cohesively. According to CEO Melonee Wise, the human employees see the robots as pets, even calling them "pups". There isn't any fear of a robotic uprising, or robots taking over human jobs. This is becoming the new normal, with many companies employing robots to supplement their workforce as opposed to completely replacing it. Despite the fear that robots are predicted to take over most jobs, the future might, in fact, be more about working alongside robots rather than robots running the workforce completely.
Investors might have expected Xilinx (NASDAQ:XLNX) to set the stock market on fire this year as it is pursuing growth in the fast-growing fields of artificial intelligence (AI) and cloud computing. But the chipmaker has underperformed the NASDAQ-100 Technology Sector so far this year despite posting steady growth in its revenue and earnings. The stock market has remained indifferent toward Xilinx's quarterly performances even though it stands to gain big from the growing adoption of its programmable chips in data centers, automotive solutions, and 5G wireless communications. But will the market's attitude toward Xilinx change with its upcoming fiscal second-quarter report that's due on Oct. 25? Let's take a look. Xilinx doesn't expect a massive improvement in its second-quarter revenue and earnings as compared to the year-ago quarter.
Many people question whether or not the 74.9 million baby boomers, who are now ages 52–70, will adopt the new technology. Boomers make up a good percentage of folks obtaining auto loans, home renovation loans and business loans. Additionally, the Wall Street Journal reported (subscription required) that boomers accrued $100 billion in Parent Plus loans to pay for their offspring's college tuition. Interestingly, on the flip side, Generation Y is reportedly the quickest to adopt new technology and devices. The millennials, who make up the largest generation to date, have been dubbed the "digital generation" due to being technologically savvy consumers, with the generations following closely behind the boomers apparently being comfortable with new technology and digital tools.
When Amit Zavery laid out the Oracle Cloud Platform roadmap at Oracle OpenWorld on October 2, one of the first themes he focused on was keeping that platform "open." "This is something that we really believe is important," said Zavery, senior vice president for Oracle Cloud Platform. At Oracle OpenWorld, Oracle Senior Vice President Amit Zavery emphasized that Oracle's application development, integration, management, and other platform services are built around open standards. Zavery emphasized that Oracle's application development, integration, management, and other platform services are built around open standards, including those for emerging technologies such as blockchain, machine learning, and chatbots. Oracle enhances the best open source innovations with tools for management, security, development, and high-performance infrastructure that companies need to put them to practical use.
Every piece of IT hardware runs on software, make no mistake. For the new era of mobile handheld devices to become truly smart smartphones, they will need to exhibit new software processing powers over and above the ability to'simply' take photos, play games and surf the web. To be clear, the next era of smart smartphones will feature an increasing amount of machine learning and Artificial Intelligence (AI). This assertion (or is it almost a truism?) is at the heart of Chinese telecommunications giant's strategy. The firm has (literally) etched AI into the DNA of the'chipset' of its new line of Mate Series devices running on the new Kirin 970, a product described as the first AI processor for smartphones with a dedicated Neural Network Processing Unit (NPU) i.e. neural being'like a brain'.
Digital is changing supply chain as well as all of business. Find numerous blogs on big data, blockchain, IoT, drones, artificial intelligence, machine learning, deep learning and augmented reality. "Deep learning will revolutionize supply chain automation." "The first to fully integrate the following technologies will create a near autonomous supply chain: IoT, Big Data, Blockchain, 3D Printing, Artificial Intelligence, Machine Learning and Deep Learning." "Artificial intelligence is the future and the future is here."
"Robots will reach human intelligence by 2029 and life as we know it will end in 2045". This isn't just any random prediction, it was made by Google's Chief of Engineering, Ray Kurzweil. After the announcement last week where we heard of Google's artificial intelligence group, DeepMind, who unveiled, AlphaGo – an AI so powerful that it derived thousands of years of human knowledge of the game before inventing better moves of its own, all in the space of three days - there is more and more evidence stacking up behind this claim. Even more proof was the AI's success. It managed to beat the human champion of an ancient Chinese board-game, not once, but 100 times over.