Kinema Systems claims to have launched what it describes as “the world’s first deep learning 3D vision system for industrial robots”.
A large part of the world’s commerce moves in boxes arranged on pallets. Depalletizing boxes in warehouses, distribution centers and factories is a difficult task that has become more challenging with changing demographics and an increase in product mix.
One of the world’s largest automotive suppliers, Bosch, provided a massive stage today for Nvidia CEO Jen-Hsun Huang to showcase its new artificial intelligence platform for self-driving cars.
Speaking in the heart of Berlin to several thousand attendees at Bosch Connected World — an annual conference dedicated to the Internet of Things — Huang detailed how deep learning is fueling an AI revolution in the auto industry.
One of the challenges in robotics development is the fact that the computer processing required is just massive, often too much for a complex machine to handle onboard without packing very large pieces of hardware.
One way around it has been to connect the robots up to cloud computing systems which run such things as neural networks and can remotely process data – but this is inefficient and slow.
Robotics and automation giant Denso says it’s become the lead investor in Thinci
Denso says its investment in startup will help accelerate next-generation automotive technology, using innovative deep learning and vision processing silicon and software.
The company adds that its investment will lead to advancements in driver assistance and autonomous driving, improve the efficiency of thermal systems, and optimize the productivity of the vehicle’s powertrain.
Tony Cannestra, Denso International America’s director of corporate ventures, says: “Denso has been researching new developments in the area of computer vision processing. We strongly believe that Thinci’s technology will soon become a key component of next generation autonomous driving systems that require advanced computing techniques combined with deep learning capabilities. Continue reading Denso invests in deep learning and vision processing startup Thinci
A US non-profit company has designed an innovative method of controlling the spread of lionfish threatening to devastate fish stocks and coral reef ecosystems in warmer ocean waters.
Robots In Service of the Environment (Rise) joined deep ocean research charity, Nekton, on its maiden voyage in the North Atlantic to test a prototype being developed to operate remotely in deep water to locate and deliver a fatal electric shock to the invasive species.
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A web-based machine language system solves crossword puzzles far better than commercially-available products, and may help machines better understand language.
Researchers at Cambridge University have designed a web-based platform which uses artificial neural networks to answer standard crossword clues better than existing commercial products specifically designed for the task.
Fujitsu claims it has developed a new deep learning technology to analyse time-series data with high precision, a discovery that could help improve the efficiency of embedded chips in wearables and devices, for example.
When applied to Internet of Things data, the company says, its new technology “significantly improves accuracy by about 25 per cent compared to previous technology”.
Honeybee Robotics is beginning a new phase of development of its Planetary Deep Drill, a lightweight and portable drill designed eventually to reach kilometers below the surface of icy formations in the Martian polar caps, Enceladus, or Europa.
After validating the drill’s performance in laboratory tests, the company is now undertaking field trials at a gypsum quarry, where rock formations provide conditions analogous to drilling through future planetary targets.