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Intel CEO believes autonomous driving data is the new oil

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The LA Auto Show may be remembered more for its technologies than the actual cars it showcased. That’s because automakers and technology companies are no longer isolated; instead, they’re part of a new and fascinating picture in which, when it comes to the future of automobiles, “data is the new oil.”

Intel CEO Brian Krzanich, delivering a keynote address at the Automobility LA conference (as part of the LA Auto Show) on Nov. 15, described the confluence of automobiles, data dependence, and connectivity as being equally valuable as an integrated whole as automobiles currently are on oil. Krzanich stated,

“We are in a time when technology is valued not just for the devices it produces, but for the experiences it makes possible. Data has the potential to radically change the way we think about the driving experience: as consumers, as automakers, as technologists, and as citizens of our communities,”

Intel’s interest in self-driving vehicles has grown over the last year after acquiring machine vision company, Itseez, Inc. this past May. With Itseez in its portfolio, Intel is developing algorithms and implementations of computer vision around automobiles, among other applications. Additionally, a partnership with BMW and system-on-a-chip maker and ex-Tesla partner Mobileye may produce an open platform for designing autonomous vehicles.

“It’s not enough just to capture the data,” Krzanich argued. “We have to turn the data into an actionable set of insights to get the full value out of it. To do that requires an end-to-end computing solution from the car through the network and to the cloud — and strong connectivity.”

Krzanich’ keynote speech marks the first time that Intel, the semiconductor conglomerate, has ever had a prominent role at an automobile show. It follows an editorial that he wrote earlier in the year in which he outlined five key points to accelerate Intel’s transformation from a PC company to a company that powers the cloud and billions of smart, connected computing devices. According to Krzanich:

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  • The cloud is the most important trend shaping the future of the smart, connected world. Virtualization and software are increasingly defining infrastructure in the cloud and data center.
  • The many “things” that make up the PC Client business and the Internet of Things are made much more valuable by their connection to the cloud. The Internet of Things encompasses all smart devices – every device, sensor, console and any other client device – that are connected to the cloud. Everything that a “thing” does can be captured as a piece of data, measured real-time, and is accessible from anywhere. The biggest opportunity in the Internet of Things is its ubiquity.
  • Memory and programmable solutions such as FPGAs, which are integrated circuits that can be programmed in the field after manufacture, will deliver entirely new classes of products for the data center and the Internet of Things. Breakthrough innovations and products to the cloud and data center infrastructure are revolutionizing the performance and architecture of the data center, with growth for years to come.
  • 5G will become the key technology for access to the cloud, providing computing power to a device and connecting it to the cloud makes it more valuable. The example of the autonomous vehicle, with its need for connectivity to the cloud alongside the cloud’s need for machine learning capabilities, requires the most up-to-date algorithms and data sets to allow the vehicle to operate safely. In this way, connectivity is fundamental to every one of the cloud-to-thing segments we will drive.
  • Moore’s Law, in which Intel co-founder Gordon Moore in 1965 noticed that the number of transistors per square inch on integrated circuits had doubled every year since their invention, will continue. This concept has fueled the recent technology revolution.

Krzanich elaborated at the Automobility LA conference that autonomous cars may soon utilize sensors from LIDAR, sonar, and radar, as well as GPS and cameras. A single autonomous vehicle could generate approximately 4 terabytes (4,000 GB) of data daily. “Every autonomous car will generate the data equivalent of almost 3,000 people. Extrapolate this further and think about how many cars are on the road. Let’s estimate just 1 million autonomous cars worldwide — that means automated driving will be representative of the data of 3 billion people,” Krzanich said.

The keynote speech augmented an Intel press statement that its Capital division will invest $250 million over the next two years into developing technologies around autonomous vehicles, which are “areas where technology can directly mitigate risks while improving safety, mobility, and efficiency at a reduced cost; and companies that harness the value of the data to improve reliability of automated driving systems.”

Source: Brian Krzanich Editorial

Carolyn Fortuna is a writer and researcher with a Ph.D. in education from the University of Rhode Island. She brings a social justice perspective to environmental issues. Please follow me on Twitter and Facebook and Google+

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Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad

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Credit: Teslarati

Tesla rolled out Full Self-Driving version 14.2 yesterday to members of the Early Access Program (EAP). Expectations were high, and Tesla surely delivered.

With the rollout of Tesla FSD v14.2, there were major benchmarks for improvement from the v14.1 suite, which spanned across seven improvements. Our final experience with v14.1 was with v14.1.7, and to be honest, things were good, but it felt like there were a handful of regressions from previous iterations.

While there were improvements in brake stabbing and hesitation, we did experience a few small interventions related to navigation and just overall performance. It was nothing major; there were no critical takeovers that required any major publicity, as they were more or less subjective things that I was not particularly comfortable with. Other drivers might have been more relaxed.

With v14.2 hitting our cars yesterday, there were a handful of things we truly noticed in terms of improvement, most notably the lack of brake stabbing and hesitation, a major complaint with v14.1.x.

However, in a 62-minute drive that was fully recorded, there were a lot of positives, and only one true complaint, which was something we haven’t had issues with in the past.

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The Good

Lack of Brake Stabbing and Hesitation

Perhaps the most notable and publicized issue with v14.1.x was the presence of brake stabbing and hesitation. Arriving at intersections was particularly nerve-racking on the previous version simply because of this. At four-way stops, the car would not be assertive enough to take its turn, especially when other vehicles at the same intersection would inch forward or start to move.

This was a major problem.

However, there were no instances of this yesterday on our lengthy drive. It was much more assertive when arriving at these types of scenarios, but was also more patient when FSD knew it was not the car’s turn to proceed.

This improvement was the most noticeable throughout the drive, along with fixes in overall smoothness.

Speed Profiles Seem to Be More Reasonable

There were a handful of FSD v14 users who felt as if the loss of a Max Speed setting was a negative. However, these complaints will, in our opinion, begin to subside, especially as things have seemed to be refined quite nicely with v14.2.

Freeway driving is where this is especially noticeable. If it’s traveling too slow, just switch to a faster profile. If it’s too fast, switch to a slower profile. However, the speeds seem to be much more defined with each Speed Profile, which is something that I really find to be a huge advantage. Previously, you could tell the difference in speeds, but not in driving styles. At times, Standard felt a lot like Hurry. Now, you can clearly tell the difference between the two.

It seems as if Tesla made a goal that drivers should be able to tell which Speed Profile is active if it was not shown on the screen. With v14.1.x, this was not necessarily something that could be done. With v14.2, if someone tested me on which Speed Profile was being used, I’m fairly certain I could pick each one.

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Better Overall Operation

I felt, at times, especially with v14.1.7, there were some jerky movements. Nothing that was super alarming, but there were times when things just felt a little more finicky than others.

v14.2 feels much smoother overall, with really great decision-making, lane changes that feel second nature, and a great speed of travel. It was a very comfortable ride.

The Bad

Parking

It feels as if there was a slight regression in parking quality, as both times v14.2 pulled into parking spots, I would have felt compelled to adjust manually if I were staying at my destinations. For the sake of testing, at my first destination, I arrived, allowed the car to park, and then left. At the tail-end of testing, I walked inside the store that FSD v14.2 drove me to, so I had to adjust the parking manually.

This was pretty disappointing. Apart from parking at Superchargers, which is always flawless, parking performance is something that needs some attention. The release notes for v14.2. state that parking spot selection and parking quality will improve with future versions.

However, this was truly my only complaint about v14.2.

You can check out our full 62-minute ride-along below:

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Elon Musk

SpaceX issues statement on Starship V3 Booster 18 anomaly

The incident unfolded during gas-system pressure testing at the company’s Massey facility in Starbase, Texas. 

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Credit: SpaceX/X

SpaceX has issued an initial statement about Starship Booster 18’s anomaly early Friday. The incident unfolded during gas-system pressure testing at the company’s Massey facility in Starbase, Texas. 

SpaceX’s initial comment

As per SpaceX in a post on its official account on social media platform X, Booster 18 was undergoing gas system pressure tests when the anomaly happened. Despite the nature of the incident, the company emphasized that no propellant was loaded, no engines were installed, and personnel were kept at a safe distance from the booster, resulting in zero injuries.

“Booster 18 suffered an anomaly during gas system pressure testing that we were conducting in advance of structural proof testing. No propellant was on the vehicle, and engines were not yet installed. The teams need time to investigate before we are confident of the cause. No one was injured as we maintain a safe distance for personnel during this type of testing. The site remains clear and we are working plans to safely reenter the site,” SpaceX wrote in its post on X. 

Incident and aftermath

Livestream footage from LabPadre showed Booster 18’s lower half crumpling around the liquid oxygen tank area at approximately 4:04 a.m. CT. Subsequent images posted by on-site observers revealed extensive deformation across the booster’s lower structure. Needless to say, spaceflight observers have noted that Booster 18 would likely be a complete loss due to its anomaly.

Booster 18 had rolled out only a day earlier and was one of the first vehicles in the Starship V3 program. The V3 series incorporates structural reinforcements and reliability upgrades intended to prepare Starship for rapid-reuse testing and eventual tower-catch operations. Elon Musk has been optimistic about Starship V3, previously noting on X that the spacecraft might be able to complete initial missions to Mars.

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Investor's Corner

Tesla analyst maintains $500 PT, says FSD drives better than humans now

The team also met with Tesla leaders for more than an hour to discuss autonomy, chip development, and upcoming deployment plans.

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Credit: Tesla

Tesla (NASDAQ:TSLA) received fresh support from Piper Sandler this week after analysts toured the Fremont Factory and tested the company’s latest Full Self-Driving software. The firm reaffirmed its $500 price target, stating that FSD V14 delivered a notably smooth robotaxi demonstration and may already perform at levels comparable to, if not better than, average human drivers. 

The team also met with Tesla leaders for more than an hour to discuss autonomy, chip development, and upcoming deployment plans.

Analysts highlight autonomy progress

During more than 75 minutes of focused discussions, analysts reportedly focused on FSD v14’s updates. Piper Sandler’s team pointed to meaningful strides in perception, object handling, and overall ride smoothness during the robotaxi demo.

The visit also included discussions on updates to Tesla’s in-house chip initiatives, its Optimus program, and the growth of the company’s battery storage business. Analysts noted that Tesla continues refining cost structures and capital expenditure expectations, which are key elements in future margin recovery, as noted in a Yahoo Finance report. 

Analyst Alexander Potter noted that “we think FSD is a truly impressive product that is (probably) already better at driving than the average American.” This conclusion was strengthened by what he described as a “flawless robotaxi ride to the hotel.”

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Street targets diverge on TSLA

While Piper Sandler stands by its $500 target, it is not the highest estimate on the Street. Wedbush, for one, has a $600 per share price target for TSLA stock.

Other institutions have also weighed in on TSLA stock as of late. HSBC reiterated a Reduce rating with a $131 target, citing a gap between earnings fundamentals and the company’s market value. By contrast, TD Cowen maintained a Buy rating and a $509 target, pointing to strong autonomous driving demonstrations in Austin and the pace of software-driven improvements. 

Stifel analysts also lifted their price target for Tesla to $508 per share over the company’s ongoing robotaxi and FSD programs. 

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