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Elroy Air unveils its heavy payload, long-flying autonomous VTOL cargo drone, with 500 orders worth $1 billion already on the books.


Given that autonomous functioning, heavier capacity, longer flight time than most cargo drones, and VTOL operation, Elroy says the Chaparral will transform how express freight is managed in developed markets, and open the activity to many others currently shut out.

“The Chaparral is an important part of the future of express logistics,” said Elroy Air CEO David Merrill. “It is built for full end-to-end automation, and it will safely and efficiently make express shipping possible in thousands of new places. It’s a delivery drone that’s faster than ground transport and lower cost than today’s traditional aircraft.”

The company says it has secured purchase agreements for more than 500 of its VTOL cargo drones from commercial, defense, and humanitarian customers, amounting to more than $1 billion in value. Those clients include Mesa Airlines, a regional US carrier operating large fleets on behalf of partners that include American and United Airlines. Freight giant DHL has also expressed its intent to order 150 Chaparral aircraft to facilitate express parcel and healthcare activity.

Cybersecurity professionals are already using this tech to identify new types of malware and protect sensitive data for organizations. The beauty of implementing AI systems in a cybersecurity strategy is that they learn as they analyze more data, so they get better at their jobs with new experiences.

The business world is ever-changing, and customer behavior is evolving. Managing the radical transformation can be challenging, but it doesn’t have to be when you’ve got AI at your beck and call. Several SMEs and startups have leveraged AI to capture market share and establish their brand.

Soon, AI in business will no longer be a luxury — it will be a necessity. Companies that don’t keep pace with consumers’ expectations will fall short and lose market share. The only way to stay relevant is to adopt the trend.

The Industrial Internet of Things (IIoT) connects IoT with Industry. The IIoT allows companies to reap information from their machines and environments to create intelligent, self-learning machines. This interconnected ecosystem provides numerous benefits for enterprises, such as reduced downtime, increased throughput and safety, and predictive maintenance — leading to greater efficiency. The 4th Industrial Revolution is fueled by exponential advancements in digital technology and brings us closer to a sustainable future of intelligent manufacturing environments that operate with zero emissions. With the advent of Industry 4.0, there has been a massive increase in the levels of data being produced by intelligent machines. This enormous increase in information can be hard to manage and analyze effectively without converting into usable insights. These insights are gained through the use of various technologies, including intelligent digital twins that allow for real-time monitoring of a machine’s condition, AI that can analyze large amounts of data to produce actionable insights, and connected devices that provide live status updates.

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Tesla has launched an in-car karaoke microphone called TeslaMic. But it’s only available in China for now.

This is a talk by Ray Kurzweil for course 6.S099: Artificial General Intelligence. For this entire recording, Ray did not use slides, so the video does not show any slides. This class is free and open to everyone. Our goal is to take an engineering approach to exploring possible paths toward building human-level intelligence for a better world.

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The new foundation of the artificial intelligence (AI) economy is flexible, remote work. Thanks to advances in technology that enable remote work at an unimaginable scale, organizations developing AI can now collaborate with people from almost anywhere, including previously inaccessible areas. People across the globe can now contribute to building AI in meaningful ways, particularly through data preparation and annotation work. This has led to the emergence of a new and growing freelance category — focused on AI training data annotation and collection.

While many AI economy participants join searching for additional income, a good portion of data annotators join the AI economy because they are seeking challenging opportunities. Whatever their reason, contributors benefit positively from the new opportunities flexible work affords. Geography is no longer an impediment to skill development or participation in projects that they’re enthusiastic about.

Organizations building AI are embracing remote contracting arrangements in order to access the contributions of people around the world. These contributors may not necessarily live in technology hubs, nor have had the opportunity to participate in AI before the arrival of these remote options. In fact, professional options in their locale may be limited as a whole. Appen recently released their Impact Pulse survey of the crowd and found that 40% of contributors rely on the work from home model due to barriers of accessing traditional work. Thirty-two percent were living below the global poverty line before starting with Appen, and of those, 53% have been lifted above due to their work in the AI Economy.

Sunflower Labs announces a flurry of client acquisitions of its security drone-in-dock Beehive System in both the US and Europe.


San Carlos-based Sunflower Labs has announced a spate of new clients for its automated Beehive System security drone-and-dock, in deals ranging from Switzerland to the US South.

Sunflower said the recent series of new drone-and-dock deals include partners like US security group ADT Inc, stowage company10 Federal Self Storage, Swiss Federal Railways, and the Gerald R. Ford International Airport in Grand Rapids, Michigan. It also involves a deepening of its previous relationship with German company Security Robotics Development & Solutions.

Researchers from KTH Royal Institute of Technology and Stanford University have fabricated a material for computer components that enables the commercial viability of computers that mimic the human brain.

Electrochemical random access (ECRAM) memory components made with 2D titanium carbide showed outstanding potential for complementing classical transistor technology, and contributing toward commercialization of powerful computers that are modeled after the brain’s neural network. Such neuromorphic computers can be thousands times more energy efficient than today’s computers.

These advances in computing are possible because of some fundamental differences from the classic computing architecture in use today, and the ECRAM, a component that acts as a sort of synaptic cell in an artificial neural network, says KTH Associate Professor Max Hamedi.