This company tames killer robots

MIT Technology Review

A seven-foot-tall robot arm moves in a blur, carrying a piece of metal about the size of a bowling ball from one workbench to another at superhuman speed. But when a human worker reaches for the piece, the robot goes into slow motion and then eventually stops. The machine and the young man are assembling a car suspension together. To anyone familiar with industrial robots, this seems insane. Industrial robots are capable of killing a person.

AI and machine learning need data storage resources


Many things come in bundles. Amit Ray, author of Mindfulness Meditation for Corporate Leadership and Management says "As more and more artificial intelligence is entering into the world, more and more emotional intelligence must enter into leadership." A report by Source Media, sponsored by Pure Storage says powerful, advanced computing and storage capacity and capabilities are needed too. Currently, some radiology departments use it effectively to improve workloads. Progress across other clinical activities depends on extra computing and storage power for two activities, training and clinical use.

Inside Amazon's $3.5 million competition to make Alexa chat like a human


Onstage at the launch of Amazon's Alexa Prize, a multimillion-dollar competition to build AI that can chat like a human, the winners of last year's challenge delivered a friendly warning to 2018's hopefuls: your bot will mess up, it will say something offensive, and it will be taken offline. Elizabeth Clark, a member of last year's champion Sounding Board team from the University of Washington, was onstage with her fellow researchers to share what they'd learned from their experience. What stuck out, she said, were the bloopers. "One thing that came up a lot around the holidays was that a lot of people wanted to talk to our bot about Santa," said Clark. "Unfortunately, the content we had about Santa Claus looked like this: 'You know what I realized the other day? Santa Claus is the most elaborate lie ever told.'" The bot chose this line because it had been taught using jokes from Reddit, explained Clark, and while it might be diverting for adults, "as you can imagine, a lot of people who want to talk about Santa Claus … are children." And telling someone's curious three-year-old that Santa is a lie, right before Christmas?

AI Drone Learns to Detect Brawls

IEEE Spectrum Robotics Channel

Drones armed with computer vision software could enable new forms of automated skyborne surveillance to watch for violence below. One glimpse of that future comes from UK and Indian researchers who demonstrated a drone surveillance system that can automatically detect small groups of people fighting each other. The seed idea for researchers to develop such a drone surveillance system was first planted in the wake of the Boston Marathon bombing that killed three and injured hundreds in 2013. It was not until the Manchester Arena bombing that killed 23 and wounded 139--including many children leaving an Ariana Grande concert--when the researchers made some progress. This time, they harnessed a form of the popular artificial intelligence technique known as deep learning.

Brain-based circuitry just made artificial intelligence a whole lot faster


We take the vast computing power of our brains for granted. But scientists are still trying to get computers to the brain's level. This is how we ended up with artificial intelligence algorithms that learn through virtual neurons -- the neural net. Now a team of engineers has taken another step closer to emulating the computers in our noggins: they've built a physical neural network, with circuits that even more closely resemble neurons. When they tested an AI algorithm on the new type of circuitry, they found that it performed as well as conventional neural nets already in use.

Life lessons from artificial intelligence: What Microsoft's AI chief wants computer science grads to know about the future


In addition to awarding Bachelors, Masters and Ph.D. degrees, the Allen School recognized two 2018 Alumni Impact Award recipients, Yaw Anokwa and Eileen Bjorkman.

IBM And NVIDIA Reach The Summit: The World's Fastest Supercomputer

Forbes Technology

IBM, NVIDIA, and the U.S. Department of Energy (DOE) recently announced that they have completed testing the world's fastest supercomputer, Summit, at the Oak Ridge National Laboratory in Oak Ridge, Tennessee. Capable of over 200 petaflops (200 quadrillion operations per second), Summit consists of 4600 IBM dual socket Power 9 nodes, connected by over 185 miles of fiber optic cabling. Each node is equipped with 6 NVIDIA Volta TensorCore GPUs, delivering total throughput that is 8 times faster than its predecessor, Titan, for double precision tasks, and 100 times faster for reduced precision tasks common in deep learning and AI. China has held the top spot in the Top 500 for the last 5 years, so this brings the virtual HPC crown home to the USA. Figure 1: The Summit Supercomputer at the Department of Energy's Oak Ridge National Labs is now the fastest computer in the world. Some of the specifications are truly amazing; the system exchanges water at the rate of 9 Olympic pools per day for cooling, and as an AI supercomputer, Summit has already achieved (limited) "exascale" status, delivering 3 exaflops of AI precision performance.

Cloud Computing and AI transform the Banking sector


With the adoption and development of cognitive computing capabilities, the way customers interact with their banks will ultimately change for good. Artificial intelligence and cloud computing will empower banks to efficiently redefine the workflow, create innovative products and services, and transform customer experiences. Many banks have adopted AI, infusing it into their customer experience. This development is witness to AI's role in banking becoming increasingly crucial and visible over the next few years. The introduction of cloud computing and AI will permit the banking workforce to discard repetitive, process driven tasks towards the more strategic and innovative kinds of work that will ultimately drive the industry forward.

Why This Startup Created A Deep Learning Chip For Autonomous Vehicles

Forbes Technology

HANOVER, GERMANY - APRIL 25: Close up of the digital display while a camera and radar system assists as artificial intelligence takes over driving the car during tests of autonomous car abilities conducted by Continental AG on the A2 highway on April 25, 2018, near Hanover, Germany. Israeli artificial intelligence (AI) startup, Hailo Technologies, has closed a $12.5 million series A from Maniv Mobility, OurCrowd, and NextGear to develop a chip for deep learning on edge devices and processing of high-resolution sensory data in real time. According to a report from Markets and Markets, edge computing will be worth $6.72 billion by 2020, and IC Insights reported that integrated circuits in cars are expected to generate global sales of $42.9 billion in 2021. In 2017, McKinsey reported in the study, Self Driving Car Technology: when will robots hit the road?, that ADAS systems grew to 140 million in 2016 from 90 million units in 2014. "Because of the low latency required for autonomous driving and advanced driving assistance, deep learning with convolutional neural networks, running on in-vehicle hardware, is necessary," offers Tom Coughlin, IEEE Fellow and President at Coughlin Associates.

Why Micron Is So Excited About Artificial Intelligence


Memory specialist Micron (NASDAQ:MU) sells both DRAM, a type of computer memory that's used in virtually every kind of computing device, and NAND flash, which is rapidly gaining traction for high-performance data storage applications as it's quicker and more efficient than hard disk drive-based storage. Micron's business has continued to benefit from what seems like an insatiable amount of demand for both DRAM and NAND in applications such as mobile phones and data center servers. One of the sub-segments within data center servers is the market for servers that handle machine learning, commonly referred to as artificial intelligence, processing tasks. That sub-segment is small today, with data center chip giant Intel estimating the market at around 7% of total data center server shipments in 2016, but it's also, according to Intel, the fastest growing. The companies that make the processors that perform these machine learning computations are clearly very excited about the artificial intelligence opportunity as it means they'll get to sell a lot more computing power over the years.