Robots in the work place can perform hazardous or even 'impossible' tasks; e.g., toxic waste clean-up, desert and space exploration, and more. AI researchers are also interested in the intelligent processing involved in moving about and manipulating objects in the real world.
Elon Musk is hailed as an innovator and disrupter who went from knowing next to nothing about building cars to running the world's most valuable automaker in the space of 16 years. But his record shows he is more of a fast learner who forged alliances with firms that had technology Tesla lacked, hired some of their most talented people, and then powered through the boundaries that limited more risk-averse partners. Now, Musk and his team are preparing to outline new steps in Tesla's drive to become a more self-sufficient company less reliant on suppliers at its "Battery Day" event on Tuesday. Musk has been dropping hints for months that significant advances in technology will be announced as Tesla strives to produce the low-cost, long-lasting batteries that could put its electric cars on a more equal footing with cheaper gasoline vehicles. New battery cell designs, chemistries and manufacturing processes are just some of the developments that would allow Tesla to reduce its reliance on its long-time battery partner, Japan's Panasonic, people familiar with the situation said.
Are we here to re-create ourselves as robotic humanoids? In a recent podcast, Robert J. Marks discusses what robots can do for us with retired internist and author Geoffrey Simmons. In his most recent book, Are We Here to Re-Create Ourselves?: The Convergence of Designs (2019), Simmons argues that in creating artificially intelligent robots, we are trying to recreate the human being. But can we really recreate everything about ourselves? For example, they discussed, can robots be counselors? Should robots go into space instead of humans?
The applications of deep learning has been explored in various components throughout the autonomous driving stack, for example, in perception, prediction, and planning. Deep learning can also be used in mapping, a critical component for higher-level autonomous driving. Having accurate maps is essential to the success of autonomous driving for routing, localization as well as to ease perception. Maps with varying degrees of information can be obtained through subscribing to the commercially available map service. However, in areas where maps are not available, self-driving vehicles need to rely on their own map building capability to ensure the functionality and safety of autonomous driving.
All over the world today, businesses and brands are employing automation to make their operations more efficient and effective while reducing redundancy as much as possible. While this might bring to mind a picture of robots take over jobs, that is not entirely the case as Artificial Intelligence is, in fact, a business asset, enhancing and promoting human capabilities and efforts. Before we can talk about AI and its numerous advantages, we need a clear definition of what it is. In simple terms, AI is all about systems mimicking human intelligence when carrying out tasks, and improving on this intelligence using information garnered from observation and interaction. AI involves data analysis and super thinking to predict patterns using past events.
The chief of Iran's paramilitary Revolutionary Guard threatened Saturday to go after everyone who had a role in a top general's January killing during a U.S. drone strike in Iraq. The guard's website quoted Gen. Hossein Salami as saying, "Mr. Our revenge for martyrdom of our great general is obvious, serious and real." U.S. President Donald Trump warned this week that Washington would harshly respond to any Iranian attempts to take revenge for the death of Gen. Qassem Soleimani, tweeting that "if they hit us in any way, any form, written instructions already done we're going to hit them 1000 times harder." The president's warning came in response to a report that Iran was plotting to assassinate the U.S. ambassador to South Africa in retaliation for Soleimani's killing at Baghdad's airport at the beginning of the year.
Welcome to the fifth article in TNW's guide to the AI apocalypse. In this series we examine some of the most popular doomsday scenarios prognosticated by modern AI experts. Previous articles in this series include: Misaligned Objectives, Artificial Stupidity, Wall-E Syndrome, and Humanity Joins the Hivemind. We've danced around the subject of killer robots in the previous four editions in this series, but it's time to look the machines in their beady red eyes and… speculate. First things first: the reason why we haven't covered'killer robots' in this series so far is because it's an incredibly unlikely doomsday scenario. But, even in today's modern age of AI-everything, that particular scenario remains highly unlikely.
Amazon applied science manager Dr. Nashlie Sephus has lived in New York City, Atlanta, Silicon Valley, and Seoul while pursuing her education and work in machine learning. She knows the look of a community that's thriving from technology and innovation, but she didn't see that growth happening in her hometown of Jackson, Mississippi. That's why last week she concluded an 18-month process by signing contracts to secure 12 acres of land that will be home to the Jackson Tech District. The Bean Path, a nonprofit organization created by Sephus, will operate a maker and innovation space on the land. There will also be restaurants and residential lofts spread across eight buildings, all located near the historically Black Jackson State University.
The White House's recent decision to allow the sale of advanced weapons systems to the United Arab Emirates highlights the deliberate shift in US policy towards the UAE after it signed "normalisation" accords with Israel. Why would the UAE want American drones as it already has dozens of Chinese armed unmanned aerial vehicles (UAVs) in its inventory? And why has the United States now agreed to these sales, overcoming its traditional reticence to sell sophisticated weapons to other countries? Chinese armed drones have made a significant effect on the battlefields across the Middle East and North Africa. They have been used to assassinate Houthi rebel leaders in Yemen, kill ISIL-affiliated fighters in the Sinai, and for a time help Khalifa Haftar dominate the battlespace in Libya.
Note: The colab GPU runtime is approximate 12 hours post that, the runtime will be disconnected, the data stored will be lost. Since in our case each epoch would take 2 hours and need to train for more than 20 epochs to observe the preliminary results. Here are some of the results obtained after training the model for 30 epochs.