Synthetic media generated by AI and represents another dark side of technology and the issue. A deepfake is created by pitting two computer programs against each other -- which are called Generative Adversarial Networks, or GANs. Although this form of Artificial Intelligence has been in the spotlight for the most part of 2019, the biggest news that blew the issue wide open was a LinkedIn user by the name Katie Jones, who appeared on the platform & started connecting with the Who's Who of the political elite in Washington DC. The ease with which deep learning created a real-life image of a person & then penetrated the social media was alarming not just for lawmakers & regulators, but for the general public as well. Lawmakers are especially worried about how this can affect and/or manipulate the 2020 Presidential elections in the U.S. People falling prey to misinformation can greatly jeopardize the transparency of the democratic process.

Researchers agree that unleashing deep-learning models on the vast amounts of data available today has progressed artificial-intelligence capabilities to once unattainable levels. However, deep learning isn't the ideal technique for every application in which AI could provide significant performance gains over what humans could achieve alone. Earlier this year at the AI Frontiers conference in Santa Clara, California, we sat down with AI experts from some of the world's leading technology-first organizations to learn about other techniques researchers are exploring to expand the applications of AI. An edited version of their remarks follows. Mohak Shah, lead expert, data science, Bosch Research and Technology Center, North America: In terms of technology, I think acceleration is going to come when we put all the pieces together.

Chooch AI has released a new computer vision service that allows users to detect and categorize events in any kind of local video stream. Dubbed Chooch Edge AI, the technology was unveiled at this week's TechCrunch Disrupt startup event in San Francisco and leverages Chooch AI's object recognition capabilities. "Our clients requested a fast, easy to install, complete embedded AI solution many times over," said Chooch AI CEO Emrah Gultekin. "There are locations where connectivity is an issue, and now we can offer detailed inferencing on the edge, with less stress on the overall network." To that end, Chooch Edge AI can be installed on any camera device that meets the minimum hardware requirements, which include Linux, 1GB RAM, and an ARM 32, ARM 64, or Intel x86-64 chip.

Scientists have created a prosthetic leg which amputees can really feel. While prosthetic limbs are far more advanced than in the 20th century, their major flaw is that they are not really part of someone's body. Amputees cannot feel them, so are at constant risk of falling, needing to concentrate and must keep an eye on the leg's position at all times. Now researchers have solved the problem, allowing people to feel every time their prosthetic foot hits the ground or knee bends to walk. Their new prosthetic leg does this by sending electrical signals to four electrodes surgically implanted into the tibial nerve in someone's thigh.

UPS has become the first drone delivery service to receive full approval from the Federal Aviation Administration. The company's program, called Flight Forward, is operated in partnership with Matternet, which provides drone logistics networking company in Mountain View, California. Previously, UPS's pilots were only allowed to fly the drones within line of sight, but the FAA approval means they'll be able to significantly expand their delivery range. 'This is history in the making, and we aren't done yet,' said David Abney, UPS chief executive officer in a statement. UPS's Flight Forward drone delivery program is the first to earn full approval by the FAA (pictured one of the drones they will use in the program) The program's currently deployed in Raleigh, North Carolina, where UPS's drones have made more than 1,000 flights carrying deliveries around the WakeMed Health & Hospitals campus.

Taking a pay cut in your 30s could put you at risk of memory loss and poor brain function in middle age, research suggests. Scientists assessed how changes in salary affected the brain health of more than 3,000 US adults. The 20-year study began in 1990, and followed the participants through the Great Recession, a period of economic instability across the world. Results showed volunteers whose pay had been slashed at least once over the two decades performed worse on cognitive tests. The French researchers claim the impact of a pay cut on brain health was three times greater than that of one year of natural ageing.

Ahmad S. Mazumder is a principal field application engineer in IP Engineering division of Silvaco. He is responsible for development and customer support in all analog and interface IPs. He is an industry veteran on the development of high-speed memory, interface IPs, and many types of analog IPs. He worked on cutting edge DDR, extreme high-speed SerDes, interfaces, ESD, and QoR for 24 years at various SoC companies (Intel, Broadcom, C-Cube Microsystems, etc). He recently joined Silvaco's IP Engineering division.

Part I: Why is managing machine learning products so hard? And why should you care? In my previous article, I talked about the biggest difference that Machine Learning (ML) brings: ML enables a move away from having to program the machine to true autonomy (self-learned). Machines make predictions and improve insights based on patterns they identify in data without humans explicitly telling them what to do. That's why ML is particularly useful for challenging problems that are difficult for people to explain to machines.

In the center of Seattle-based food-tech company Picnic's 8,000-square-foot lab, an automated assembly line consists of a conveyor belt propped upon a metal base. To demonstrate the production, a Picnic worker places a pre-made 16-inch circle of pizza dough into the first module. A form of artificial intelligence (AI) called deep learning uses numerous layers of mathematical formulas to process and assess the size, dimensions and placement of the pizza on the belt, and to adjust the module lighting so a computer-vision camera can properly see it. The pizza chugs along to a series of modules where a small hose evenly squirts tomato sauce over the dough, then a tray dispenses cheese, followed by a spray of pepperoni and ham. The pizza completes its journey through the automated assembly line in a little over a minute. The finished product glistens golden brown when it emerges from the oven.

Latin America is an ocean of opportunities for developing talent, business and innovation in sectors where Montreal is a leader. Despite their complementarity, Montreal rarely looks at Latin America and vice-versa. "Connecting Intelligence" aims to push forward, conversations leading to understanding how entrepreneurs, and organizations in Montreal and other countries could collaborate to impact the lives of many. This panel is open to people from all sectors, as AI is not a sector but a science that could be applied to all sectors. Sectors invited include video games, life sciences, cyber-security, deep tech, fintech, aerospace, advanced manufacturing technologies, telecom, agritech, nanotech, advanced materials, environment.