US Import Demand Is Dropping Off A Cliff
US Import Demand Is Dropping Off A Cliff
By Henry Byers of FreightWaves
The latest ocean container bookings data reveals that despite the…
By Henry Byers of FreightWaves
The latest ocean container bookings data reveals that despite the strong levels of inbound cargo during the first five months of 2022, import demand is not just softening — it’s dropping off a cliff. Because capacity on the trans-Pacific has remained relatively stable, Drewry’s container spot rates from China to the West Coast have plunged 41% month-over-month to $9,630.
Freight forwarders will enjoy expanding margins on ocean freight, while U.S. trucking carriers and intermodal volume providers may start to see volume risks.
Consumer buying patterns are rapidly normalizing to pre-COVID levels, and U.S. retailers are stuck with too much inventory. Target shares dropped Tuesday morning after executives said the company would mark down unwanted items, cancel purchase orders and move quickly to get rid of excess inventory.
Container imports bound for the U.S. have dropped over 36% since May 24. (This index measures departing container volumes at the port of origin). This is a troubling sign for domestic U.S. freight markets that have been benefiting from an unprecedented surge of containerized import volumes over the last 18 months. Since ocean transit times for these inbound container volumes have recently been averaging between 30 and 35 days, we will begin seeing the softer volumes show up at U.S. ports in the first couple of weeks of July.
This also puts U.S. containerized imports from all countries of origin down 36% year-over-year, which is a reversion back to the volume levels of the summer of 2020. But what is the cause of the sudden drop in containerized import volumes? Well, there are a few simultaneous factors converging that serve as likely explanations for why volumes are suddenly dropping.
The inventory glut
At the forefront of these reasons is the buildup of inventory here in the U.S. resulting from companies attempting to both replenish inventories that were largely depleted in 2021, but also from these companies wanting to keep enough inventory on hand in case of any further disruptions that may occur. Consecutive rounds of COVID lockdowns in China only exacerbated those fears, but after the war between Russia and Ukraine broke out more than 100 days ago, the geopolitical risks seem to only be escalating, and for better or for worse, companies decided that they would rather have the inventory safely here in the U.S. than risk having it abroad should there be a sudden surge in consumer demand.
So, if consumers are now shifting buying trends from goods to services, those goods-producing companies may get stuck with too much inventory or the wrong inventory in order to try to capture sales. This buildup of inventory will inevitably lead to a slowdown in new import orders abroad and thus will only add to the demand destruction we are seeing for containerized imports into the U.S. Just Tuesday Target announced an “aggressive” inventory reduction plan led by canceling orders and marking down even more inventory.
The chart above, displaying rising inventories, and the chart below, displaying falling imports, reveal that retailers are upside down after the last surge of freight to hit the United States’ shores and are throttling down freight velocity in their networks.
The consumer is getting crushed
Conditions for the consumer seem to be getting worse and worse as inflation takes hold and prices get more and more expensive. Just this week, AAA reported a new record high for gasoline prices at $4.51 per gallon on its national index.
Some economists speculate that with the Fed beginning to raise rates and draw down its balance sheet, we may be experiencing “peak inflation.” However, even if inflationary pressures begin to ease, consumers may still be overexposed to rising interest rates through the use of credit in a way that could further deteriorate demand and discretionary spending.
Credit card spending has been accelerating at a time when personal savings rates have continued to decrease and move toward some of their lowest rates (last reading 4.4) since the Great Financial Crisis (4.5 in August 2009). There are two ways to read very low savings rates: either consumers are exceptionally confident and exuberantly spending their money or consumers are spending every last dollar they have in an attempt to keep their heads above water in a high-inflation environment. Either way, there isn’t any slack left in consumer wallets — it’s hard to imagine consumer spending growing from here.
Unfortunately, inflationary pressures in energy and food don’t know or care that American consumers are out of money — inflation in those sectors was caused by supply shocks, not artificially stimulated demand. It is also important to keep in mind that the rate of growth for the Producer Price Index has been outpacing the Consumer Price Index, so some producers may still be taking some hits from rising costs that have not yet been passed on to the consumer.
So even though total revolving credit outstanding is just at pre-pandemic levels, it is nonetheless accelerating, and if prices continue to rise, it is reasonable to expect that revolving credit outstanding will rise as well.
At first glance, one may look at retail sales (charted below) and conclude that they are growing, but keep in mind that the report is measured in nominal dollars unadjusted for inflation and represents increases in the prices of goods being sold — not so much the strength or resilience of consumers. Goods-producing companies will not be alone. Services and tech companies will also be under pressure in the coming months, and sell-offs could lead to layoffs.
As we see a growing number of signs pointing toward further demand destruction from U.S. consumers, and thus a further reversion of import container volumes back to levels closer to 2019, it is worth examining the trade lane that handles a majority of that volume: China to the U.S.
When looking at aggregated volumes from China to all U.S. ports, we are able to see that volumes have been declining from the “peak of peak season” in September 2021 through Tuesday (currently down 51% from that peak). While late March through the beginning of May is historically (pre-trade war/pre-pandemic) a softer period for volumes on this trade lane, it is important to realize that this decline in volumes has also been amplified by the COVID restrictions and lockdowns implemented by the Chinese government in Shanghai as well as other important manufacturing regions in China (most notably around Beijing and its major nearby port of Tianjin).
Despite the lockdowns, a decline in volumes on this major trade lane was seemingly inevitable in 2022 as the massive volumes moved between these two countries in 2021 were at unprecedented and unsustainable levels. Now some industry observers are calling for a “container surge” as China reopens, but it seems that the demand destruction has already spilled over into this trade lane in a big way.
The ‘container surge’ that never was
The “container surge” that many have been expecting from Shanghai (thought to be building during the lockdowns) appears to have mostly already been rerouted through the Port of Ningbo (yellow). With access to the Port of Shanghai being largely blocked due to landside restrictions (i.e., road closures), shippers were quick to reroute volumes through the closest alternate major port to the Port of Shanghai (red). Since the lockdowns began in Shanghai in late March, the decline in Shanghai new bookings (and thus load volumes) has been more than offset by a surge of volumes through Ningbo from rerouted containers. This led to booking lead times hitting their lowest levels on record as shippers scrambled to get their volumes moving.
Despite the reopening of Shanghai, total container volumes from China to the U.S. have continued their downward trajectory, and that trend is not likely to be reversed by an easing of COVID restrictions alone. As of the latest data points, if this is the “container surge” from Shanghai to U.S. ports upon its reopening last Wednesday, then right now, it is barely a “blip on the radar” compared to the volumes from Shanghai to the U.S. that what we have seen over the last 18 to 22 months. This could easily change within our bookings data for the weeks ahead, and if there is pent-up demand, it will undoubtedly show up in the bookings data, but as of Tuesday, it has not yet materialized in any significant way.
This steady decline in volumes from China to the U.S. has also put significant downward pressure on spot rates from the demand side. As capacity remained relatively consistent in the first few weeks post-lockdown (March 28 onward), the drop in volumes caused a decline in both the Freightos Baltic Daily Index and the Drewry World Container Index spot rates from China/East Asia to the U.S. West Coast (down 41% per FEU month-over-month [m/m] – $9,630), as well as from China/East Asia to the U.S. East Coast (down 36% per FEU m/m – $11,907). While this has been a welcome downturn in spot rates for shippers that battled the record-setting spot rates of 2021, we should also keep in mind that these spot rates remain elevated on a y/y basis (73% to the West Coast and 59% to the East Coast).
If bookings continue to soften through June, we expect to see spot rates on this trade lane decline further, but ocean carriers may go to greater lengths than ever before to try and protect their record-setting earnings. They have already been cutting capacity on major trade routes through measures such as blank sailings and reassigning vessels to other services, but if the decline in volumes accelerates in the weeks ahead, we may see the alliances test their strength and discipline like never before.
If rates start dropping quickly, it is reasonable to suspect that the ocean carriers that have not locked in a majority of their allocations in longer-term contracts may begin aggressively undercutting one another as they compete in the spot market.
Interestingly enough, the last port labor negotiations at LAX/LGB that caused disruptions to supply chains (and thus led to a buildup of inventory in the U.S.) in 2014-15 created a similar situation. Coming off of a record year, that may sound like an unlikely scenario, but there is a distinct possibility that sharply softening spot rates could cause a shakeup and/or reorganization of the current alliances.
Asking the right dumb questions
You’ll have to forgive the truncated newsletter this week. Turns out I brought more back from Chicago than a couple of robot stress balls (the one piece…
You’ll have to forgive the truncated newsletter this week. Turns out I brought more back from Chicago than a couple of robot stress balls (the one piece of swag I will gladly accept). I was telling someone ahead of the ProMat trip that I’ve returned to 2019 travel levels this year. One bit I’d forgotten was the frequency and severity of convention colds — “con crud,” as my comics friends used to call it.
I’ve been mostly housebound for the last few days, dealing with this special brand of Chicago-style deep-dish viral infection. The past three years have no doubt hobbled my immune system, but after catching COVID-19 three times, it’s frankly refreshing to have a classic, good old-fashioned head cold. Sometimes you want the band you see live to play the hits, you know? I’m rediscovering the transformative properties of honey in a cup of tea.
The good news for me is that (and, hopefully, you) is I’ve got a trio of interviews from ProMat that I’ve been wanting to share in Actuator. As I said last week, the trip was really insightful. At one of the after-show events, someone asked me how one gets into tech journalism. It’s something I’ve been asked from time to time, and I always have the same answer. There are two paths in. One is as a technologist; the other is as a journalist.
It’s obvious on the face of it. But the point is that people tend to enter the field in one of two distinct ways. Either they love writing or they’re really into tech. I was the former. I moved to New York City to write about music. It’s something I still do, but it’s never fully paid the bills. The good news for me is I sincerely believe it’s easier to learn about technology than it is to learn how to be a good writer.
I suspect the world of robotics startups is similarly bifurcated. You enter as either a robotics expert or someone with a deep knowledge of the field that’s being automated. I often think about the time iRobot CEO Colin Angle told me that, in order to become a successful roboticist, he first had to become a vacuum salesman. He and his fellow co-founders got into the world through the robotics side. And then there’s Locus robotics, which began as a logistics company that started building robots out of necessity.
Both approaches are valid, and I’m not entirely sure one is better than the other, assuming you’re willing to surround yourself with assertive people who possess deep knowledge in areas where you fall short. I don’t know if I entirely buy the old adage that there’s no such thing as a dumb question, but I do believe that dumb questions are necessary, and you need to get comfortable asking them. You also need to find a group of people you’re comfortable asking. Smart people know the right dumb questions to ask.
Covering robotics has been a similar journey for me. I learned as much about supply chain/logistics as the robots that serve them at last week’s event. That’s been an extremely edifying aspect of writing about the space. In robotics, no one really gets to be a pure roboticist anymore.
Q&A with Rick Faulk
I’m gonna kick things off this week with highlights from a trio of ProMat interviews. First up is Locus Robotics CEO, Rick Faulk. The full interview is here.
TC: You potentially have the foundation to automate the entire process.
RF: We absolutely do that today. It’s not a dream.
It’s not lights out. Lights out might happen 10 years from now, but the ROI is not there to do it today. It may be there down the road. We’ve got advanced product groups working on some things that are looking at how to get more labor out of the equation. Our strategy is to minimize labor over time. We’re doing integrations with Berkshire Grey and others to minimize labor. To get to a dark building is going to be years away.
Have you explored front-of-house — retail or restaurants?
We have a lot of calls about restaurants. Our strategy is to focus. There are 135,000 warehouses out there that have to be automated. Less than 5% are automated today. I was in Japan recently, and my meal was filled by a robot. I look around and say, “Hey, we could do that.” But it’s a different market.
What is the safety protocol? If a robot and I are walking toward each other on the floor, will it stop first?
It will stop or they’ll navigate around. It’s unbelievably smart. If you saw what happened on the back end — it’s dynamically planning paths in real time. Each robot is talking to other robots. This robot will tell this robot over here, “You can’t get through here, so go around.” If there’s an accident, we’ll go around it.
They’re all creating a large, cloud-based map together in real time.
That’s exactly what it is.
When was the company founded?
[In] 2014. We actually spun out of a company called Quiet Logistics. It was a 3PL. We were fully automated with Kiva. Amazon bought Kiva in 2012, and said, “We’re going to take the product off the market.” We looked for another robot and couldn’t find one, so we decided to build one.
The form factors are similar.
Their form factor is basically the bottom. It goes under a shelf and brings the shelf back to the station to do a pick. The great thing about our solution is we can go into a brownfield building. They’re great and they work, but it will also take four times the number of robots to do the same work our robots do.
Amazon keeps coming up in my conversations in the space as a motivator for warehouses to adopt technologies to remain competitive. But there’s an even deeper connection here.
Amazon is actually our best marketing organization. They’re setting the bar for SLAs (service-level agreements). Every single one of these 3PLs walking around here [has] to do same- or next-day delivery, because that’s what’s being demanded by their clients.
Do the systems’ style require in-person deployment?
The interesting thing during COVID is we actually deployed a site over FaceTime.
Someone walked around the warehouse with a phone?
Yeah. It’s not our preferred method. They probably actually did a better job than we did. It was terrific.
As far as efficiency, that could make a lot of sense, moving forward.
Yeah. It does still require humans to go in, do the installation and training — that sort of thing. I think it will be a while before we get away from that. But it’s not hard to do. We take folks off the street, train them and in a month they know how to deploy.
Where are they manufactured?
We manufacture them in Boston, believe it or not. We have contract manufacturers manufacturing some components, like the base and the mast. And then we integrate them together in Boston. We do the final assembly and then do all the shipments.
As you expand sales globally, are there plans to open additional manufacturing sites?
We will eventually. Right now we’re doing some assemblies in Amsterdam. We’re doing all refurbishments for Europe in Amsterdam. […] There’s a big sustainability story, too. Sustainability is really important to big clients like DHL. Ours is an inherently green model. We have over 12,000 robots in the field. You can count the number of robots we’ve scrapped on two hands. Everything gets recycled to the field. A robot will come back after three or four years and we’ll rewrap it. We may have to swap out a camera, a light or something. And then it goes back into service under a RaaS model.
What happened in the cases where they had to be scrapped?
They got hit by forklifts and they were unrepairable. I mean crushed.
Any additional fundraising on the horizon?
We’ve raised about $430 million, went through our Series F. Next leg in our financing will be an IPO. Probably. We have the numbers to do it now. The market conditions are not right to do it, for all the reasons you know.
Do you have a rough timeline?
It will be next year, but the markets have got to recover. We don’t control that.
Q&A with Jerome Dubois
Next up, fittingly, is Jerome Dubois, the co-founder of Locus’ chief competitor, 6 River Systems (now a part of Shopify). Full interview here.
TC: Why was [the Shopify acquisition] the right move? Had you considered IPO’ing or moving in a different direction?
JD: In 2019, when we were raising money, we were doing well. But Shopify presents itself and says, “Hey, we’re interested in investing in the space. We want to build out a logistics network. We need technology like yours to make it happen. We’ve got the right team; you know about the space. Let’s see if this works out.”
What we’ve been able to do is leverage a tremendous amount of investment from Shopify to grow the company. We were about 120 employees at 30 sites. We’re at 420 employees now and over 110 sites globally.
Amazon buys Kiva and cuts off third-party access to their robots. That must have been a discussion you had with Shopify.
Up front. “If that’s what the plan is, we’re not interested.” We had a strong positive trajectory; we had strong investors. Everyone was really bullish on it. That’s not what it’s been. It’s been the opposite. We’ve been run independently from Shopify. We continue to invest and grow the business.
From a business perspective, I understand Amazon’s decision to cut off access and give itself a leg up. What’s in it for Shopify if anyone can still deploy your robots?
Shopify’s mantra is very different from Amazon. I’m responsible for Shopify’s logistics. Shopify is the brand behind the brand, so they have a relationship with merchants and the customers. They want to own a relationship with the merchant. It’s about building the right tools and making it easier for the merchant to succeed. Supply chain is a huge issue for lots of merchants. To sell the first thing, they have to fulfill the first thing, so Shopify is making it easier for them to print off a shipping label.
Now, if you’ve got to do 100 shipping letters a day, you’re not going to do that by yourself. You want us to fulfill it for you, and Shopify built out a fulfillment network using a lot of third parties, and our technology is the backbone of the warehouse.
Watching you — Locus or Fetch — you’re more or less maintaining a form factor. Obviously, Amazon is diversifying. For many of these customers, I imagine the ideal robot is something that’s not only mobile and autonomous, but also actually does the picking itself. Is this something you’re exploring?
Most of the AMR (autonomous mobile robot) scene has gotten to a point where the hardware is commoditized. The robots are generally pretty reliable. Some are maybe higher quality than others, but what matters the most is the workflows that are being enacted by these robots. The big thing that’s differentiating Locus and us is, we actually come in with predefined workflows that do a specific kind of work. It’s not just a generic robot that comes in and does stuff. So you can integrate it into your workflow very quickly, because it knows you want to do a batch pick and sortation. It knows that you want to do discreet order picking. Those are all workflows that have been predefined and prefilled in the solution.
With respect to the solving of the grabbing and picking, I’ve been on the record for a long time saying it’s a really hard problem. I’m not sure picking in e-comm or out of the bin is the right place for that solution. If you think about the infrastructure that’s required to solve going into an aisle and grabbing a pink shirt versus a blue shirt in a dark aisle using robots, it doesn’t work very well, currently. That’s why goods-to-person makes more sense in that environment. If you try to use arms, a Kiva-like solution or a shuttle-type solution, where the inventory is being brought to a station and the lighting is there, then I think arms are going to be effective there.
Are these the kinds of problems you invest R&D in?
Not the picking side. In the world of total addressable market — the industry as a whole, between Locus, us, Fetch and others — is at maybe 5% penetration. I think there’s plenty of opportunity for us to go and implement a lot of our technology in other places. I also think the logical expansion is around the case and pallet operations.
Interoperability is an interesting conversation. No one makes robots for every use case. If you want to get near full autonomous, you’re going to have a lot of different robots.
We are not going to be a fit for 100% of the picks in the building. For the 20% that we’re not doing, you still leverage all the goodness of our management consoles, our training and that kind of stuff, and you can extend out with [the mobile fulfillment application]. And it’s not just picking. It’s receiving, it’s put away and whatever else. It’s the first step for us, in terms of proving wall-to-wall capabilities.
What does interoperability look like beyond that?
We do system interoperability today. We interface with automation systems all the time out in the field. That’s an important part of interoperability. We’re passing important messages on how big a box we need to build and in what sequence it needs to be built.
When you’re independent, you’re focused on getting to portability. Does that pressure change when you’re acquired by a Shopify?
I think the difference with Shopify is, it allows us to think more long-term in terms of doing the right thing without having the pressure of investors. That was one of the benefits. We are delivering lots of longer-term software bets.
Q&A with Peter Chen
Lastly, since I’ve chatted with co-founder Pieter Abbeel a number of times over the years, it felt right to have a formal conversation with Covariant CEO Peter Chen. Full interview here.
TC: A lot of researchers are taking a lot of different approaches to learning. What’s different about yours?
PC: A lot of the founding team was from OpenAI — like three of the four co-founders. If you look at what OpenAI has done in the last three to four years to the language space, it’s basically taking a foundation model approach to language. Before the recent ChatGPT, there were a lot of natural language processing AIs out there. Search, translate, sentiment detection, spam detection — there were loads of natural language AIs out there. The approach before GPT is, for each use case, you train a specific AI to it, using a smaller subset of data. Look at the results now, and GPT basically abolishes the field of translation, and it’s not even trained to translation. The foundation model approach is basically, instead of using small amounts of data that’s specific to one situation or train a model that’s specific to one circumstance, let’s train a large foundation-generalized model on a lot more data, so the AI is more generalized.
You’re focused on picking and placing, but are you also laying the foundation for future applications?
Definitely. The grasping capability or pick and place capability is definitely the first general capability that we’re giving the robots. But if you look behind the scenes, there’s a lot of 3D understanding or object understanding. There are a lot of cognitive primitives that are generalizable to future robotic applications. That being said, grasping or picking is such a vast space we can work on this for a while.
You go after picking and placing first because there’s a clear need for it.
There’s clear need, and there’s also a clear lack of technology for it. The interesting thing is, if you came by this show 10 years ago, you would have been able to find picking robots. They just wouldn’t work. The industry has struggled with this for a very long time. People said this couldn’t work without AI, so people tried niche AI and off-the-shelf AI, and they didn’t work.
Your systems are feeding into a central database and every pick is informing machines how to pick in the future.
Yeah. The funny thing is that almost every item we touch passes through a warehouse at some point. It’s almost a central clearing place of everything in the physical world. When you start by building AI for warehouses, it’s a great foundation for AI that goes out of warehouses. Say you take an apple out of the field and bring it to an agricultural plant — it’s seen an apple before. It’s seen strawberries before.
That’s a one-to-one. I pick an apple in a fulfillment center, so I can pick an apple in a field. More abstractly, how can these learnings be applied to other facets of life?
If we want to take a step back from Covariant specifically, and think about where the technology trend is going, we’re seeing an interesting convergence of AI, software and mechatronics. Traditionally, these three fields are somewhat separate from each other. Mechatronics is what you’ll find when you come to this show. It’s about repeatable movement. If you talk to the salespeople, they tell you about reliability, how this machine can do the same thing over and over again.
The really amazing evolution we have seen from Silicon Valley in the last 15 to 20 years is in software. People have cracked the code on how to build really complex and highly intelligent looking software. All of these apps we’re using [are] really people harnessing the capabilities of software. Now we are at the front seat of AI, with all of the amazing advances. When you ask me what’s beyond warehouses, where I see this really going is the convergence of these three trends to build highly autonomous physical machines in the world. You need the convergence of all of the technologies.
You mentioned ChatGPT coming in and blindsiding people making translation software. That’s something that happens in technology. Are you afraid of a GPT coming in and effectively blindsiding the work that Covariant is doing?
That’s a good question for a lot of people, but I think we had an unfair advantage in that we started with pretty much the same belief that OpenAI had with building foundational models. General AI is a better approach than building niche AI. That’s what we have been doing for the last five years. I would say that we are in a very good position, and we are very glad OpenAI demonstrated that this philosophy works really well. We’re very excited to do that in the world of robotics.
News of the week
The big news of the week quietly slipped out the day after ProMat drew to a close. Berkshire Grey, which had a strong presence at the event, announced on Friday a merger agreement that finds SoftBank Group acquiring all outstanding capital stock it didn’t already own. The all-cash deal is valued at around $375 million.
The post-SPAC life hasn’t been easy for the company, in spite of a generally booming market for logistics automation. Locus CEO Rick Faulk told me above that the company plans to IPO next year, after the market settles down. The category is still a young one, and there remains an open question around how many big players will be able to support themselves. For example, 6 River Systems and Fetch have both been acquired, by Shopify and Zebra, respectively.
“After a thoughtful review of value creation opportunities available to Berkshire Grey, we are pleased to have reached this agreement with SoftBank, which we believe offers significant value to our stockholders,” CEO Tom Wagner said in a release. “SoftBank is a great partner and this merger will strengthen our ability to serve customers with our disruptive AI robotics technology as they seek to become more efficient in their operations and maintain a competitive edge.”
Unlike the Kiva deal that set much of this category in motion a decade ago, SoftBank maintains that it’s bullish about offering BG’s product to existing and new customers. Says managing partner, Vikas J. Parekh:
As a long-time partner and investor in Berkshire Grey, we have a shared vision for robotics and automation. Berkshire Grey is a pioneer in transformative, AI-enabled robotic technologies that address use cases in retail, eCommerce, grocery, 3PL, and package handling companies. We look forward to partnering with Berkshire Grey to accelerate their growth and deliver ongoing excellence for customers.
A healthy Series A this week from Venti Technologies. The Singapore/U.S. firm, whose name translates to “large Starbucks cup,” raised $28.8 million, led by LG Technology Ventures. The startup is building autonomous systems for warehouses, ports and the like.
“If you have a big logistics facility where you run vehicles, the largest cost is human capital: drivers,” co-founder and CEO Heidi Wyle tells TechCrunch. “Our customers are telling us that they expect to save over 50% of their operations costs with self-driving vehicles. Think they will have huge savings.”
This week in fun pivots, Neubility is making the shift from adorable last-mile delivery robots to security bots. This isn’t the company’s first pivot, either. Kate notes that it’s now done so five times since its founding. Fifth time’s the charm, right?
Neubility currently has 50 robots out in the world, a number it plans to raise significantly, with as many as 400 by year’s end. That will be helped along by the $2.6 million recently tacked onto its existing $26 million Series A.
Model-Prime emerged out of stealth this week with a $2.3 million seed round, bringing its total raise to $3.3 million. The funding was led by Eniac Ventures and featured Endeavors and Quiet Capital. The small Pittsburgh-based firm was founded by veterans of the self-driving world, Arun Venkatadri and Jeanine Gritzer, who were seeking a way to create reusable data logs for robotics companies.
The startup says its tech, “handles important tasks like pulling the metadata, automated tagging, and making logs searchable. The vision is to make the robotics industry more like web apps, or mobile apps, where it now seems silly to build your own data solution when you could just use Datadog or Snowflake instead.”
Saildrone, meanwhile, is showcasing Voyager, a 33-foot uncrewed water vehicle. The system sports cameras, radar and an acoustic system designed to map a body of water down to 900 feet. The company has been testing the boat out in the world since last February and is set to begin full-scale production at a rate of a boat a week.
Finally, some research out of MIT. Robust MADER is a new version of MADER, which the team introduced in 2020 to help drones avoid in-air collisions.
“MADER worked great in simulations, but it hadn’t been tested in hardware. So, we built a bunch of drones and started flying them,” says grad student Kota Kondo. “The drones need to talk to each other to share trajectories, but once you start flying, you realize pretty quickly that there are always communication delays that introduce some failures.”
The new version adds in a delay before setting out on a new trajectory. That added time will allow it to receive and process information from fellow drones and adjust as needed. Kondo adds, “If you want to fly safer, you have to be careful, so it is reasonable that if you don’t want to collide with an obstacle, it will take you more time to get to your destination. If you collide with something, no matter how fast you go, it doesn’t really matter because you won’t reach your destination.”
Here you go, way too fast. Don’t slow down, you’re gonna crash. Na-na-na-na-na-na-na-na-na. (Subscribe to Actuator!)
Asking the right dumb questions by Brian Heater originally published on TechCrunchtesting covid-19 singapore japan europe
Cuban election: high turnout despite opposition call for boycott
Cubans turned out in higher numbers than expected at the recent elections.
Results of the five-yearly Cuban national assembly elections on March 26 will have disappointed opposition figures, who had called for a boycott to signal unhappiness with the government’s performance.
Two-thirds of the electorate submitted valid votes (that were not spoiled nor blank) despite opposition calls for people to stay away. Given all the difficulties and tensions of the past few years, the high numbers of voters seems to suggest that, although it is under strain, the Cuban political system is more resilient than expected. Turnout had been dropping since the days of former leader Fidel Castro, and poor voter numbers could have signalled significant dissatisfaction with the current president, Miguel Díaz-Canel Bermúdez.
One of the reasons for the high turnout may be a sense of communal rejection of US threats to national sovereignty, the importance of which should not be ignored, according to historians such as Louis Pérez. Tightening of US sanctions has certainly contributed to everyday suffering and economic hardship. Another reason for a high turnout may be President Díaz-Canel Bermúdez’s efforts to push ahead with reforms, increasing accountability and creating more opportunities for private enterprise and participation in decision-making at local level.
The election results and turnout of 76% might also be interpreted as an indication that among the majority who still support the government even in the middle of the recession, there is an increased willingness to actively express preferences rather than offer unconditional loyalty. This shift is expressed in the growing proportion (up from 20% of valid votes in 2018 to 28% in 2023) who selected specific candidates from the list for their constituency, rather than fully complying with official encouragement to simply indicate acceptance of the complete slate.
The elections mark the end of the first term of Díaz-Canel Bermúdez, during which the population has suffered from a severe recession.
Since the last election in 2018, the country has witnessed a series of major disasters, including a plane crash, three hurricanes, three tropical storms, a tornado, a gas explosion that destroyed a hotel and a huge fire at the country’s main oil depot. But the economic impact of those disasters were dwarfed by two further blows: the COVID pandemic and, above all, US foreign policy towards Cuba.
Despite the development and successful roll-out of effective vaccines, the possibility of an economic bounce-back from the COVID-induced recession (an 11% fall in GDP) has been effectively blocked by unprecedented restrictions on Cuba’s access to international trade and finance resulting from US sanctions imposed by the Trump administration and maintained under Joe Biden’s presidency.
March 2023 election: type of vote
The effects of COVID and tightened US sanctions have combined with the sorry state of the country’s infrastructure. Another factor was caused by the price of food and energy imports soaring between 2020 and 2022, which resulted in power outages and food shortages. A 2021 currency reform exacerbated disruption and hardships by sparking an inflationary surge.
Read more: Cuba: why record numbers of people are leaving as the most severe economic crisis since the 1990s hits -- a photo essay
Long queues and a growing sense of frustration also contributed to unprecedented protests in mid-2021 and a record-breaking wave of emigration. In 2022, almost 250,000 people – over 2% of the population – are reported to have left for the US, including many of Cuba’s youngest and brightest.
How do elections work?
The Cuban electoral system was originally created as a “participatory” rather than “representative” system of democracy in an attempt to avoid the political conflict, violence, corruption and foreign interference experienced before the 1959 revolution, as described by political scientist William LeoGrande.
As the Cuban Communist party is the only legal political party, Cuban elections are not contests between parties. The 470 candidates for the national assembly do not represent the party. Instead, around half of them are representatives of municipal governments (themselves elected in municipal elections) and the rest are nominated by bigger organisations. These include neighbourhood committees, official trade unions, the women’s federation, students’ organisations and the small farmers’ association. Local electoral commissions then select one candidate for each seat from the list of nominated candidates. It is not a requirement for candidates, members of mass organisations or the electoral commission to be members of the party; however, many are, effectively making it impossible for self-proclaimed dissidents to be selected.
The local electoral commissions, whose members are selected from the mass organisations, are responsible for the organisation of the ballots and counting of the vote. Once selected, candidates must receive over 50% of valid votes to become a member of the national assembly. Voters can either accept all the candidates on the list for their constituency (a “united vote”) or select some and not others. Voting is secret and voluntary.
Over the years, and particularly over the past decade, efforts have been made to ensure that candidates are representative of the population. They include ministers, workers, farmers, educators, managers and health workers. The average age of candidates in 2023, at 46 years, is lower than previous elections, while the proportion who are non-white has increased (45% compared with 41% in 2018), and 53% are women.
The national turnout for these elections, confirmed by the national electoral commission, was 76%. Although this is above the turnout in legislative elections in the UK (67.3% in 2019) and US (at 62.8% of the voting age population in 2020 and 47.5% in 2022, according to the Pew Research Center), it is significantly less than the 86% recorded in the last national election in 2018. The abstention rate increased, from 14% registered electors in 2018 to 24% in 2023, and in blank or spoiled ballots, from 5.6% to 9.7%, a possible indication that the hardship of the past few years have taken their toll on public confidence in the government.
Díaz-Canel Bermúdez, who lacks the status and charisma of his predecessors Fidel Castro and his brother, Raúl Castro (who were both leaders of the 1959 revolution), will need to be alert to concerns of the electorate as he begins his second term. He will need to find ways to improve living standards quickly. He has pushed ahead with reforms to allow Cubans to create private companies, foster innovation through university-enterprise links, and devolve budgets and decision-making to enable municipal authorities to directly respond to local demands.
However, with inflation persisting and fiscal resources overstretched, his scope for macroeconomic stimulation is restricted. A major obstacle is the US government’s seeming commitment to retain the most important economic sanctions, but Díaz-Canel Bermúdez must prevent further erosion in confidence in Cuba’s government and its political system.
Emily Morris has received funding from University College London, the Ford Foundation and the British Embassy, Havana.recession pandemic us government trump gdp oil uk
Aspen looks to rebound in production and revenue after Covid-19
Last year, South African-based vaccine manufacturer Aspen Pharmacare was facing reports that it had not received a single order for its manufactured Covid-19…
Last year, South African-based vaccine manufacturer Aspen Pharmacare was facing reports that it had not received a single order for its manufactured Covid-19 shots and that manufacturing lines were sitting idle. But now the vaccine producer is looking to turn things around.
Aspen’s disclosure of its financial results in March unveiled that manufacturing revenue had decreased by 12% to R 603 million ($33.8 million), which Lorraine Hill, Aspen Group’s COO, said is attributable to lower Covid vaccine sales.
However, things were not all negative as Aspen said it was in negotiations with customers seeking to “secure a portion of Aspen’s sterile manufacturing capabilities.”
Aspen CEO Steven Saad said in a release:
The Group’s performance under challenging trading conditions was anticipated and is aligned to guidance previously shared for the first half of the financial year. Consistent with our previous communications, we are optimistic that the results for the second half of this financial year will not only exceed those reported for the first half but will also exceed those of the second half of the prior year.
Aspen had initially invested in three sterile manufacturing lines at its production site in Gqeberha, South Africa, and had plans to invest in two more production lines. The intention was to transition the manufacturing of its own anesthetic products from third-party producers to enhance the supply, Hill told Endpoints News in an email.
“The COVID pandemic, however, fast-tracked our plans to manufacture vaccines as we pivoted and re-prioritized in-housing our anesthetic products to manufacture the COVID vaccine,” Hill said.
Hill stated that in August of last year, Aspen entered a long-term agreement with India’s Serum Institute for Aspen to manufacture, market and eventually distribute four vaccines in Africa. The Serum Institute deal will also help Aspen gain further entry into the routine vaccine market, which has “sustainable” demand and can diversify the manufacturer’s portfolio, Hill told Endpoints.
“This is an important milestone as Aspen seeks to optimize our sterile manufacturing capacity in Gqeberha. The four products are Pneumococcal vaccine, Rotavirus vaccine, Polyvalent Meningococcal Vaccine and the Hexavalent Vaccine with transfer activities currently underway,” Hill said.
The company also secured agreements with the Bill & Melinda Gates Foundation and the Coalition for Epidemic Preparedness Innovations in the meantime. Hill added that the grant funding from these deals has helped to offset the production costs related to starting production of the Serum Institute vaccines.
Saad added in the release that Aspen expects the new manufacturing business to bring in around R 2 billion ($112 million) in 2024.vaccine pandemic covid-19 africa india
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