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Category: robotics/AI – Page 2,241

Today, at least 45 start-ups are working on chips that can power tasks like speech and self-driving cars, and at least five of them have raised more than $100 million from investors. Venture capitalists invested more than $1.5 billion in chip start-ups last year, nearly doubling the investments made two years ago, according to the research firm CB Insights.

SAN FRANCISCO — For years, tech industry financiers showed little interest in start-up companies that made computer chips.

How on earth could a start-up compete with a goliath like Intel, which made the chips that ran more than 80 percent of the world’s personal computers? Even in the areas where Intel didn’t dominate, like smartphones and gaming devices, there were companies like Qualcomm and Nvidia that could squash an upstart.

But then came the tech industry’s latest big thing — artificial intelligence. A.I., it turned out, works better with new kinds of computer chips. Suddenly, venture capitalists forgot all those forbidding roadblocks to success for a young chip company.

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Toyota revealed a self-driving concept vehicle, the e-Palette, at the International Consumer Electronics Show (CES) in Las Vegas on Monday.

The electric, box-shaped vehicle will come in three sizes. The largest will be around the size of a bus and be able to haul freight and make large deliveries, while the smallest will be compact enough to travel on sidewalks. Toyota envisions the e-Palette will serve a variety of potential uses, allowing businesses to deliver goods, transport people, or use the vehicle as a mobile storefront or office.

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In the future, autonomy won’t just mean you can relax in the passenger seat on your drive home from work. Driverless vehicles of all kinds are set to revolutionize the cargo industry, too, from delivering a pizza or dropping off an Amazon package, to hauling much larger shipments across continents and the high seas. Naturally, Boeing is one of many companies investing in cargo planes of tomorrow, and is keen to show off some of its early work in the form of a huge octocopter capable of carrying loads of up to 500 pounds (over 250kg). In less than three months, engineers at Boeing built and carried out successful test flights of the all-electric prototype, possibly (but unofficially) breaking a Guinness world record in the process.

The rough-and-ready concoction of metal and batteries measures 15 feet long, 18 feet wide and 4 feet tall, weighing in at 747 pounds (nearly 339kg). In other words, it dwarfs the consumer DJI drone you got for Christmas. Obviously Boeing’s prototype is far from a commercial product, but the firm says it’ll be used “as a flying test bed to mature the building blocks of autonomous technology for future applications.”

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Almost two years after the acquisition by Intel, the deep learning chip architecture from startup Nervana Systems will finally be moving from its codenamed “Lake Crest” status to an actual product.

In that time, Nvidia, which owns the deep learning training market by a long shot, has had time to firm up its commitment to this expanding (if not overhyped in terms of overall industry dollar figures) market with new deep learning-tuned GPUs and appliances on the horizon as well as software tweaks to make training at scale more robust. In other words, even with solid technology at a reasonable price point, for Intel to bring Nervana to the fore of the training marke t–and push its other products for inference at scale along with that current, it will take a herculean effort–one that Intel seems willing to invest in given its aggressive roadmap for the Nervana-based lineup.

The difference now is that at least we have some insight into how (and by how much) this architecture differs from GPUs–and where it might carve out a performance advantage and more certainly, a power efficiency one.

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Lecture by Professor Oussama Khatib for Introduction to Robotics (CS223A) in the Stanford Computer Science Department.

Lecture 1 | introduction to robotics

In the first lecture of the quarter, Professor Khatib provides an overview of the course. CS223A is an introduction to robotics which covers topics such as Spatial Descriptions, Forward Kinematics, Inverse Kinematics, Jacobians, Dynamics, Motion Planning and Trajectory Generation, Position and Force Control, and Manipulator Design.

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Boeing unveils a squarish, skeletal quadcopter to try out new unmanned-delivery concepts.

Boeing’s newest prototype drone is a skeletal, squarish quadrotor built as a “flying test bed to mature the building blocks of autonomous technology for future applications,” the aircraft maker said in a statement.

Measuring 15 feet wide and 18 long, the Cargo Air Vehicle represents Boeing’s next step in its quest for next-generation vertical-takeoff-and-landing drones. Last year, the company acquired Aurora Flight Sciences, one year after the Virginia-based company established itself as one of the most interesting in the field by winning DARPAs VTOL X-Plane competition.

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In a technology first, a team of NASA engineers has demonstrated fully autonomous X-ray navigation in space—a capability that could revolutionize NASA’s ability in the future to pilot robotic spacecraft to the far reaches of the solar system and beyond.

The demonstration, which the team carried out with an experiment called Station Explorer for X-ray Timing and Navigation Technology, or SEXTANT, showed that could be used to accurately determine the location of an object moving at thousands of miles per hour in —similar to how the Global Positioning System, widely known as GPS, provides positioning, , and timing services to users on Earth with its constellation of 24 operating satellites.

“This demonstration is a breakthrough for future deep space exploration,” said SEXTANT Project Manager Jason Mitchell, an aerospace technologist at NASA’s Goddard Space Flight Center in Greenbelt, Maryland. “As the first to demonstrate X-ray navigation fully autonomously and in real-time in space, we are now leading the way.”

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