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DeepDream: How Alexander Mordvintsev Excavated the Computer's Hidden Layers

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Early in the morning on May 18, 2015, Alexander Mordvintsev made an amazing discovery. He had been having trouble sleeping. Just after midnight, he awoke with a start. He was sure he'd heard a noise in the Zurich apartment where he lived with his wife and child. Afraid that he hadn't locked the door to the terrace, he ran out of the bedroom to check if there was an intruder. All was fine; the terrace door was locked, and there was no intruder.


Artificial Intelligence and Robotics Research is on Oct 26 2020 at Zurich

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The IOT consist of computer devices, digital machines, objects and people that are given with unique identifiers. It has an ability to transfer data without human to human interaction or human to computer interaction over a network. The Internet of Things (IoT) refers to the networked interconnection of objects equipped with ubiquitous intelligence, or simply "smart objects". Several endeavours have been made in the last decade to bring together standard modelling languages with generic simulation frameworks.


An autonomous daredevil pushes the limits of flight

ZDNet

How do you test your mettle if you're a fighter pilot? You pull some gnarly acrobatics that push your hardware (and body) to the limit, such as the Matty flip or the power loop. Aerospace engineers have long relied on test pilots to push the limits of manned aircraft in order to learn crucial lessons about aerodynamics, thrust, and the complicated materials science behind modern planes. Drones, especially those designed for difficult environments or severe weather conditions, could benefit from the same kind of acrobatic proofing. To that end, researchers from the University of Zurich (part of the NCCR Robotics consortium) and Intel have developed a quadcopter that can perform incredible aerial acrobatics autonomously.


Reimagining knee replacements with additive technology and artificial intelligence

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Italian medical implant manufacturer REJOINT is introducing mass customization and therapy personalization through a combination of Electron Beam Melting (EBM) and computerized analysis of intraoperative and post-operative data collection through IoT-connected sensorized wearables. The market for knee implants is now estimated at around five million implants per year worldwide. In advanced markets, already in 2011 the number of surgical procedures was 150 per 100,000 inhabitants, with peaks of 250 in some markets such as Austria and Switzerland. The strongest annual increase (7%) occurred in patients 64 years and under 1. The knee arthroplasty market until recently solely consisted of standard prosthetic systems, with a limited range of sizes available.


Drones learn acrobatics by themselves

Robohub

Researchers from NCCR Robotics at the University of Zurich and Intel developed an algorithm that pushes autonomous drones to their physical limit. Since the dawn of flight, acrobatics has been a way for pilots to prove their bravery and worth. It is also a way to push the envelope of what can be done with an aircraft, learning lessons that are useful to all pilots and engineers. The same is true for unmanned flight. Professional drone pilots perform acrobatic maneuvers in dedicated competitions, pushing drones to their physical limits and perfecting their control and efficiency.


Google employees demand company cuts contracts with police in leaked letter

The Independent - Tech

More than 1600 Google employees are demanding that the company stop selling technology to police departments. "We're disappointed to know that Google is still selling to police forces, and advertises its connection with police forces as somehow progressive, and seeks more expansive sales rather than severing ties with police and joining the millions who want to defang and defund these institutions," the letter reads, according to Techcrunch. "Why help the institutions responsible for the knee on George Floyd's neck to be more effective organizationally? Not only that, but the same Clarkstown police force being advertised by Google as a success story has been sued multiple times for illegal surveillance of Black Lives Matter organizers." The letter, signed by 1666 employees, was addressed to Alphabet CEO Sundar Pichai.


The Age of Analog Networks

AI Magazine

A large class of systems of biological and technological relevance can be described as analog networks, that is, collections of dynamical devices interconnected by links of varying strength. Some examples of analog networks are genetic regulatory networks, metabolic networks, neural networks, analog electronic circuits, and control systems. Analog networks are typically complex systems which include nonlinear feedback loops and possess temporal dynamics at different time scales. Both the synthesis and reverse engineering of analog networks are recognized as knowledge-intensive activities, for which few systematic techniques exist. In this paper we will discuss the general relevance of the analog network concept and describe an evolutionary approach to the automatic synthesis and the reverse engineering of analog networks.


This robot can tell when sewers need repairing by scratching the walls

New Scientist

A four-legged robot that inspects concrete can walk through underground sewage tunnels and detect when they need repairing. Hendrik Kolvenbach at the Swiss Federal Institute of Technology (ETH Zurich) in Switzerland and his colleagues have developed a robot that scratches one of its legs against concrete to determine the condition it is in. The robot is waterproof and it can wade through water and climb over obstacles. Because many modern sewage systems were built decades ago, constant underground monitoring is needed to prevent major leaks.


Massive Growth Of Global Lab Automation Industry 2020:Booming Worldwide Top Key Players Perkinelmer, Inc., Danaher Corporation, Thermo Fisher Scientific, Inc., Agilent Technologies, Inc – 3w Market News Reports

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By Equipment the market for lab automation is segmented into automated liquid handlers, automated plate handlers, robotic arm, automated storage and retrieval systems. By software the lab automation market is segmented into laboratory information management system, laboratory information system, chromatography data system, electronic lab notebook, scientific data management system. On the basis of analyzer the market is segmented into biochemistry analyzers, immuno-based analyzers, hematology analyzers segments. By application the segmentation of the market is drug discovery, genomics, proteomics, protein engineering, bio analysis, analytical chemistry, system biology, clinical diagnostics, lyophilization. Based on end user the lab automation market is segmented into biotechnology & pharmaceuticals, hospitals, research institutions, academics, private labs. On the basis of geography, lab automation market report covers data points for 28 countries across multiple geographies such as North America & South America, Europe, Asia-Pacific, and Middle East & Africa. Some of the major countries covered in this report are U.S., Canada, Germany, France, U.K., Netherlands, Switzerland, Turkey, Russia, China, India, South Korea, Japan, Australia, Singapore, Saudi Arabia, South Africa, and Brazil among others. In 2017, North America is expected to dominate the market.


Four ways machine learning is powering the mobility revolution

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When Switzerland decided to slash congestion and pollution by removing tens of thousands of cargo trucks from its Alpine highways, it built the Gotthard Tunnel, the longest and deepest rail tunnel in the world. This feat of modern engineering is a boon to civilian and commercial entities alike, but such ingenious construction projects aren't the only way we can improve the future of transportation and logistics. Instead, in an increasingly competitive and connected world where just 29 percent of transportation and logistics (T&L) CEOs are confident their company's revenues will grow in the next year, more and more T&L companies are turning to new, cloud-based machine learning services that can help them become more efficient and drive a better experience for their customers. This convergence of the cloud and AI is enabling widespread innovation in autonomous technology, especially mobility. That's game-changing, as 68 percent of heads of T&L companies believe that changes in core technologies of service provision will disrupt their industry in the next five years, according to PWC, while 65 percent anticipate progress in distribution channels will do the same.