Mass-market military drones are one of MIT Technology Review’s 10 Breakthrough Technologies of 2023. Explore the rest of the list here.
When the United States first fired a missile from an armed Predator drone at suspected Al Qaeda leaders in Afghanistan on November 14, 2001, it was clear that warfare had permanently changed. During the two decades that followed, drones became the most iconic instrument of the war on terror. Highly sophisticated, multimillion-dollar US drones were repeatedly deployed in targeted killing campaigns. But their use worldwide was limited to powerful nations.
Then, as the navigation systems and wireless technologies in hobbyist drones and consumer electronics improved, a second style of military drone appeared—not in Washington, but in Istanbul. And it caught the world’s attention in Ukraine in 2022, when it proved itself capable of holding back one of the most formidable militaries on the planet.
The Bayraktar TB2 drone, a Turkish-made aircraft from the Baykar corporation, marks a new chapter in the still-new era of drone warfare. Cheap, widely available drones have changed how smaller nations fight modern wars. Although Russia’s invasion of Ukraine brought these new weapons into the popular consciousness, there’s more to their story.
Explosions in Armenia, broadcast on YouTube in 2020, revealed this new shape of war to the world. There, in a blue-tinted video, a radar dish spins underneath cyan crosshairs until it erupts into a cloud of smoke. The action repeats twice: a crosshair targets a vehicle mounted with a spinning dish sensor, its earthen barriers no defense against aerial attack, leaving an empty crater behind.
The clip, released on YouTube on September 27, 2020, was one of many the Azerbaijan military published during the Second Nagorno-Karabakh War, which it launched against neighboring Armenia that same day. The video was recorded by the TB2.
It encompasses all the horrors of war, with the added voyeurism of an unblinking camera.
In that conflict and others, the TB2 has filled a void in the arms market created by the US government’s refusal to export its high-end Predator family of drones. To get around export restrictions on drone models and other critical military technologies, Baykar turned to technologies readily available on the commercial market to make a new weapon of war.
The TB2 is built in Turkey from a mix of domestically made parts and parts sourced from international commercial markets. Investigations of downed Bayraktars have revealed components sourced from US companies, including a GPS receiver made by Trimble, an airborne modem/transceiver made by Viasat, and a Garmin GNC 255 navigation radio. Garmin, which makes consumer GPS products, released a statement noting that its navigation unit found in TB2s “is not designed or intended for military use, and it is not even designed or intended for use in drones.” But it’s there.
Commercial technology makes the TB2 appealing for another reason: while the US-made Reaper drone costs $28 million, the TB2 only costs about $5 million. Since its development in 2014, the TB2 has shown up in conflicts in Azerbaijan, Libya, Ethiopia, and now Ukraine. The drone is so much more affordable than traditional weaponry that Lithuanians have run crowdfunding campaigns to help buy them for Ukrainian forces.
The TB2 is just one of several examples of commercial drone technology being used in combat. The same DJI Mavic quadcopters that help real estate agents survey property have been deployed in conflicts in Burkina Faso and the Donbas region of Ukraine. Other DJI drone models have been spotted in Syria since 2013, and kit-built drones, assembled from commercially available parts, have seen widespread use.
These cheap, good-enough drones that are free of export restrictions have given smaller nations the kind of air capabilities previously limited to great military powers. While that proliferation may bring some small degree of parity, it comes with terrible human costs. Drone attacks can be described in sterile language, framed as missiles stopping vehicles. But what happens when that explosive force hits human bodies is visceral, tragic. It encompasses all the horrors of war, with the added voyeurism of an unblinking camera whose video feed is monitored by a participant in the attack who is often dozens, if not thousands, of miles away.
By: Kelsey D. Atherton
Title: Mass-market military drones have changed the way wars are fought
Sourced From: www.technologyreview.com/2023/01/30/1067348/mass-market-military-drones-have-changed-the-way-wars-are-fought/
Published Date: Mon, 30 Jan 2023 09:00:00 +0000
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Procurement in the age of AI
Procurement professionals face challenges more daunting than ever. Recent years’ supply chain disruptions and rising costs, deeply familiar to consumers, have had an outsize impact on business buying. At the same time, procurement teams are under increasing pressure to supply their businesses while also contributing to business growth and profitability.
Deloitte’s 2023 Global Chief Procurement Officer Survey reveals that procurement teams are now being called upon to address a broader range of enterprise priorities. These range from driving operational efficiency (74% of respondents) and enhancing corporate social responsibility (72%) to improving margins via cost reduction (71%).
To meet these rising expectations, many procurement teams are turning to advanced analytics, AI, and machine learning (ML) to transform the way they make smart business buying decisions and create value for the organization.
New procurement capabilities unlocked by AI
AI and ML tools have long helped procurement teams automate mundane and manual procurement processes, allowing them to focus on more strategic initiatives. But recent advances in natural language processing (NLP), pattern recognition, cognitive analytics, and large language models (LLMs) are “opening up opportunities to make procurement more efficient and effective,” says Julie Scully, director of software development at Amazon Business.
The good news is procurement teams are already well-positioned to capitalize on these technological advances. Their access to rich data sources, ranging from contracts to invoices, enables AI/ML solutions that can illuminate the insights contained within this data. Acting on these insights unlocks new capabilities that can enhance decision-making and improve spending patterns across the organization.
Predicting supply chain disruptions. In an era of constant supply chain disruptions, procurement teams are often faced with inconsistent item availability, which can negatively impact employee and customer experience. Indeed, the Deloitte 2023 Global Chief Procurement Officer survey finds that only 25% of firms are able to identify supply disruptions promptly “to a large extent.”
AI tools can help address this issue by recognizing patterns that indicate an emerging supply shortage and automatically recommending two or three product alternatives to business buyers, thereby preventing supply disruptions. These predictive capabilities also empower procurement teams to establish buying policies that proactively account for items that are more likely to go out of stock.
Answering pressing questions quickly. Sifting through data to understand the cause of a supply chain disruption, product defect, or other risk is time-consuming for a procurement professional. LLM-powered chatbots can streamline these processes by understanding complex queries about orders and “putting together a nuanced answer,” says Scully. “AI can query a wide variety of sources to fully answer a question quickly and in a way that feels natural and understandable.” In addition to providing fast and accurate answers to pressing questions, AI promises to reduce the need to explain procurement issues eventually. Instead, it will proactively analyze orders, buying patterns, and the current situation to provide instant support.
Offering customized recommendations. As business buyers increasingly demand personalized experiences, procurement officers seek ways to customize their interactions with business procurement systems. Scully provides the example of an employee tasked with hosting a holiday party for 150 employees who needs help deciding what to order. An AI-based procurement tool posed that scenario, she says, could generate a proposed shopping cart, sifting through “millions and billions of data points to recommend and suggest items that the employee may not have even thought of.”
Better yet, she adds, “as we get into really large language models, AI/ML can help answer questions or help buy items you didn’t even know you needed by understanding your particular situation in a much more detailed way.”
Influencing compliance spend. Procurement professionals aim to balance employees’ freedom to purchase the items they need with minimal intervention. However, self-sufficiency should not come at the cost of proper spend
By: MIT Technology Review Insights
Title: Procurement in the age of AI
Sourced From: www.technologyreview.com/2023/11/28/1083628/procurement-in-the-age-of-ai/
Published Date: Tue, 28 Nov 2023 16:00:00 +0000
Did you miss our previous article…
The Download: COP28 controversy and the future of families
This is today’s edition of The Download our weekday newsletter that provides a daily dose of what’s going on in the world of technology.
Why the UN climate talks are a moment of reckoning for oil and gas companies
The United Arab Emirates is one of the world’s largest oil producers. It’s also the site of this year’s UN COP28 climate summit, which kicks off later this week in Dubai.
It’s a controversial host, but the truth is that there’s massive potential for oil and gas companies to help address climate change, both by cleaning up their operations and by investing their considerable wealth and expertise into new technologies.
The problem is that these companies also have a vested interest in preserving the status quo. If they want to be part of a net-zero future, something will need to change—and soon. Read the full story.
How reproductive technology can reverse population decline
Birth rates have been plummeting in wealthy countries, well below the “replacement” rate. Even in China, a dramatic downturn in the number of babies has officials scrambling, as its population growth turns negative.
So, what’s behind the baby bust and can new reproductive technology reverse the trend? MIT Technology Review is hosting a subscriber-only Roundtables discussion on how innovations from the lab could affect the future of families at 11am ET this morning, featuring Antonio Regalado, our biotechnology editor, and entrepreneur Martín Varsavsky, founder of fertility clinic Prelude Fertility. Don’t miss out—make sure you register now.
I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology.
1 Instagram recommends sexual content to adults that follow kids
Test accounts were served risqué posts and disturbing videos. (WSJ $)
Meta was aware it had millions of underage users, a complaint alleges. (NYT $)
2 The first transatlantic flight powered by alternative fuels has taken off
Waste fats and corn leftovers are fueling the flight between London and New York. (BBC)
Here are the key phrases you need to know to understand climate change. (Vox)
Everything you need to know about the wild world of alternative jet fuels. (MIT Technology Review)
3 The United Arab Emirates planned to strike oil deals during COP28
Which doesn’t seem terribly climate-friendly. (BBC)
AUAE AI firm is believed to have covertly worked with Chinese companies. (NYT $)
China’s own carbon emissions are on course to peak soon. (Economist $)
4 Starlink can only operate in Gaza with Israel’s approval
That’s according to Elon Musk, who is visiting Israel currently. (FT $)
5 Foxconn is struggling to build iPhones in India
So the manufacturer started shipping over skilled workers from China. (Rest of World)
6 The world’s banana supply is in serious trouble
A deadly fungus is sweeping through crops—and there’s no known cure. (Bloomberg $)
7 Digital car keys don’t always work the way they’re supposed to
Which is a major problem if you can’t guarantee your vehicle is secure. (The Verge)
8 It’s not just you—dating is tough
But these tips can help to make it a less harrowing experience. (WP $)
Here’s how the net’s newest matchmakers help you find love. (MIT Technology Review)
9 Big dogs don’t live that long
But biotech company Loyal is hoping to change that with an experimental drug. (Wired $)
These scientists are working to extend the life span of pet dogs—and their owners. (MIT Technology Review)
10 The quiet bliss of living in an internet-free home
And how you can achieve it, too. (The Atlantic $)
How to log off. (MIT Technology Review)
Quote of the day
“He ignored me royally, which is his privilege. And he lost almost all the money that he had invested.”
—Christine Lagarde, president of the European Central Bank, explains to students in Frankfurt how one of her sons lost his money on crypto, despite her repeated warnings, Reuters reports.
The big story
Are you ready to be a techno-optimist again?
Back in 2001, MIT Technology Review picked 10 emerging areas of innovation that we promised would “change the world.” It was a time of peak techno-optimism.
By: Rhiannon Williams
Title: The Download: COP28 controversy and the future of families
Sourced From: www.technologyreview.com/2023/11/28/1083923/the-download-cop28-controversy-and-the-future-of-families/
Published Date: Tue, 28 Nov 2023 13:10:00 +0000
Finding value in generative AI for financial services
With tools such as ChatGPT, DALLE-2, and CodeStarter, generative AI has captured the public imagination in 2023. Unlike past technologies that have come and gone—think metaverse—this latest one looks set to stay. OpenAI’s chatbot, ChatGPT, is perhaps the best-known generative AI tool. It reached 100 million monthly active users in just two months after launch, surpassing even TikTok and Instagram in adoption speed, becoming the fastest-growing consumer application in history.
According to a McKinsey report, generative AI could add $2.6 trillion to $4.4 trillion annually in value to the global economy. The banking industry was highlighted as among sectors that could see the biggest impact (as a percentage of their revenues) from generative AI. The technology “could deliver value equal to an additional $200 billion to $340 billion annually if the use cases were fully implemented,” says the report.
For businesses from every sector, the current challenge is to separate the hype that accompanies any new technology from the real and lasting value it may bring. This is a pressing issue for firms in financial services. The industry’s already extensive—and growing—use of digital tools makes it particularly likely to be affected by technology advances. This MIT Technology Review Insights report examines the early impact of generative AI within the financial sector, where it is starting to be applied, and the barriers that need to be overcome in the long run for its successful deployment.
DOWNLOAD THE REPORT
The main findings of this report are as follows:
Corporate deployment of generative AI in financial services is still largely nascent. The most active use cases revolve around cutting costs by freeing employees from low-value, repetitive work. Companies have begun deploying generative AI tools to automate time-consuming, tedious jobs, which previously required humans to assess unstructured information.
There is extensive experimentation on potentially more disruptive tools, but signs of commercial deployment remain rare. Academics and banks are examining how generative AI could help in impactful areas including asset selection, improved simulations, and better understanding of asset correlation and tail risk—the probability that the asset performs far below or far above its average past performance. So far, however, a range of practical and regulatory challenges are impeding their commercial use.Legacy technology and talent shortages may slow adoption of generative AI tools, but only temporarily. Many financial services companies, especially large banks and insurers, still have substantial, aging information technology and data structures, potentially unfit for the use of modern applications. In recent years, however, the problem has eased with widespread digitalization and may continue to do so. As is the case with any new technology, talent with expertise specifically in generative AI is in short supply across the economy. For now, financial services companies appear to be training staff rather than bidding to recruit from a sparse specialist pool. That said, the difficulty in finding AI talent is already starting to ebb, a process that would mirror those seen with the rise of cloud and other new technologies.
More difficult to overcome may be weaknesses in the technology
By: MIT Technology Review Insights
Title: Finding value in generative AI for financial services
Sourced From: www.technologyreview.com/2023/11/26/1083841/finding-value-in-generative-ai-for-financial-services/
Published Date: Mon, 27 Nov 2023 01:00:00 +0000
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