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Researchers find graphene can strengthen the brain’s neural signals
A recent study from a group of researchers at the International School for Advanced Studies (SISSA) in Italy and the Catalan Institute of Nanoscience and Nanotechnology (ICN2) in Spain have demonstrated how graphene could be combined with neurological tissue, allowing the material to become a valuable tool for medicine and other biological processes.
In a statement to the IEEE Spectrum, Laura Ballerini, a researcher in neurons and nanomaterials at SISSA, stated that the results of the recent study demonstrate that graphene might tune neuronal activities by altering ion mobility at the cell interface depending on the how the single-layer graphene is engineered. According to the researcher, graphene-based nanomaterials have come to represent potential tools in neurology and neurosurgery.
“These materials are increasingly engineered as components of a variety of applications such as biosensors, interfaces, or drug-delivery platforms. In particular, in neural electrode or interfaces, a precise requirement is the stable device/neuronal electrical coupling, which requires governing the interactions between the electrode surface and the cell membrane,” she said.
Graphene has been dubbed as a supermaterial, thanks to its unique set of properties. Graphene, described in simplest terms, is a thin layer of graphite, the same material used in pencil lead. What is particularly remarkable with graphene is that it takes some near-miraculous properties when it is isolated from graphite. At one atom thick, graphene stands as the world’s first two-dimensional material ever discovered. It also boasts a tensile strength of 130 gigapascals, making it ~100 times stronger than steel. Apart from being thin and durable, graphene is also flexible, transparent, seemingly impermeable to most gases and liquids, and most of all, highly conductive.
These properties have allowed graphene to be viewed as a potential game-changer in several fields, including electronics, solar cells, semiconductors, and of course, biomedical technology. Just last year, researchers from the Graphene Flagship developed graphene-based field-effect transistors which have the capability to record brain activity in high resolution while maintaining an optimal level of signal-to-noise ratio (SNR).
Graphene is characterized by its hexagonal atomic structure.
Ballerini noted that thanks to graphene’s electrical properties, transparency, and flexibility, the material has become the ideal material candidate for several ongoing researches. Among these studies, the primary goal has been to analyze and investigate how graphene can tune neuronal excitability, as well as to demonstrate that the material can selectively modify membrane-associated neuronal functions. Ballerini and her team’s latest research, for one, operated under the hypothesis that there would be specific interactions between graphene and potassium ions in the extracellular solution which would regulate cell excitability.
“Graphene properties might (thus) affect neuronal information processing through the physical interactions of such a nanomaterial with the biological environment. Nanomaterials might then represent, in general, unconventional tools to gain insights into genuine biological processes,” Ballerini’s team stated in their conclusion to the recent study.
Ballerini and her team’s research could be accessed here.
The applications of graphene are wide, from practical solutions such as water filtration systems and faster internet speeds to measuring brain activity. The material, if any, seems to be tailor-fit for Elon Musk’s neurotechnology startup, Neuralink, which aims to create brain-computer interface systems. Considering that the startup is aimed at developing neural lace technologies, advances in graphene, showcased in these recent studies, could very well help make Musk’s vision of “wizard hats for the brain” a reality.
Elon Musk
Tesla Semi finally has an FSD timeline and it’s waiting on the Cybercab
Elon Musk told investors Semi self-driving should start working by early 2027, per today’s earnings.
During Wednesday’s’ Tesla Q2 earnings call, an analyst asked Elon Musk when Tesla would look at autonomy for the Semi. His answer set a real timeline for the first time, noting that self-driving on the Tesla Semi is expected to start working “around the end of this year or early next year”.
Musk framed the delay as a matter of priority, not capability. Tesla’s self-driving team is currently focused on Model 3, Model Y, and Cybercab, the vehicles that make up the overwhelming majority of Tesla’s fleet. Since Semi trucks on the road remain a small fraction of that total even after the recent Nevada factory ramp, Musk said it made more sense to keep the software team’s attention on what he called “the march of nines of safety” for the higher volume vehicles first. Autonomous Semi development is “taking a bit of a backseat for the next six months or so,” he said, before adding that it “will definitely be working next year and in time for the scale-up to high production of the Tesla Semi.”
Tesla Semi’s official battery capacity leaked by California regulators
The timeline lines up with what’s already been showing up on public roads. In June, a Tesla Semi was spotted in Sunnyvale wearing a full validation rig, the same rooftop sensor array Tesla mounts on vehicles ahead of an FSD milestone.
A second unit was seen near Fremont days later with a matching camera suite and lens washers. Separately, Tesla analyst Nic Cruz Patane posted video this month of the production Semi’s exterior camera array, ten AI4 based units built directly into the truck rather than added later.
Tesla Semi AI4 cameras. The production version has 10 cameras on its exterior.
These trucks are designed to be autonomous. pic.twitter.com/GH3BamxIBQ
— Nic Cruz Patane (@niccruzpatane) April 14, 2026
Musk also gave the reason autonomy on the Semi matters in the first place, a persistent shortage of qualified truck drivers. “There is a really serious shortage of truckers,” he said on the call, framing a self-driving Semi as important both for addressing that shortage and for improving safety and comfort for the drivers running the truck today.
The timing also tracks with the Semi’s production reality. Tesla’s Q2 shareholder letter, dropped language promising the Semi would reach volume production this year. Musk pointed to 4680 battery cell output as the near-term constraint on Semi and Cybercab production. A software timeline landing in early 2027 gives Tesla’s autonomy team room to work while the hardware ramp catches up behind it.
It’s worth nothing that this isn’t necessarily a promise the Semi ships driverless next year. Musk’s own language, self-driving “working” by early 2027, describes internal validation catching up to hardware already riding on every production truck, not a public unsupervised rollout.
Tesla (NASDAQ: TSLA) reported its earnings for the first quarter of 2026 on Wednesday afternoon. Here’s what the company reported compared to what Wall Street analysts expected.
The earnings results come after Tesla reported a massive beat on vehicle deliveries for the second quarter, delivering 489,126 vehicles and building 451,758 cars during the three-month span.
This was a major shock for those on Wall Street as they anticipated somewhere around 400,000 deliveries for the quarter, and showed Tesla still has plenty of demand for its vehicles around the world and in the U.S. despite losing the $7,500 EV Tax Credit last year.
Tesla Q2 2026 Earnings Results
- Non-GAAP EPS – $0.33 reported vs. $0.53 expected
- Revenues – $28.236 billion reported vs. $26.4 billion expected
- Free Cash Flow- -$1.092B
- Profit -$ 4.751B
Tesla (beat/missed) analyst expectations, so the market response to the company’s quarter is what we will look for next.
Tesla shares closed today down just over 1 percent, trading at $374.01.
In the past, it has been anyone’s guess with what Tesla shares will do after they report earnings. Strong quarters have resulted in sharp drops, while lackluster quarters have seen the stock shoot up considerably.
Tesla will hold its Q2 2026 Earnings Call in about 90 minutes at 5:30 p.m. on the East Coast. Remarks will be made by CEO Elon Musk and other executives, who will shed some light on the investor questions that we covered earlier this week.
You can stream it below. Additionally, we will be doing our Live Blog on X and Facebook.
Q2 2026 Earnings Call https://t.co/zZS6ii2TWK
— Tesla (@Tesla) July 22, 2026
Tesla is about to make parking in busy parking lots at businesses and other points of interest less stressful than ever by allowing drivers more control over where they park and how, CEO Elon Musk confirmed on X.
Tesla has been working to improve the parking performance of vehicles utilizing the Full Self-Driving suite, but now it is looking to add more customization, allowing drivers to choose the specific space they park in, but also potentially the orientation the car pulls into the spot:
It’s coming soon
— Elon Musk (@elonmusk) July 21, 2026
Musk has reiterated on X twice over the past several weeks that Tesla is working to make things with the FSD suite based more on the driver’s specific preferences and behaviors that were seen in past drives.
Essentially, it sounds like if you tend to park away from a business to avoid other vehicles, Tesla FSD will soon recognize that preference of yours and start parking further away as well. Additionally, the prospect of assigned parking spaces has been something many owners have voiced concerns about.
Living in a community with assigned parking spaces makes using FSD incredibly difficult as it will rarely park in the correct spot when there are so many to choose from. This is also pertinent in work settings where there are sometimes assigned parking spaces.
The updates to Tesla’s Full Self-Driving suite in terms of listening to driver preferences with parking are also extending to routing. Tesla announced yesterday that with the release of its 2026 Summer Update, it was adding Automatic Navigation and Preferred Routes:
Tesla reveals 2026 Summer Update with crazy fixes to Nav and more
Tesla has always maintained the idea that any human input is bad input, and that, ideally, Tesla Full Self-Driving will always make the right decision. Of course, this is all in theory, but the issue is that so many of Tesla’s interventions have come because it does something that is not necessarily wrong, but perhaps not what the driver would prefer.
Taking these preferences into account will help Tesla alleviate some of the potentially unnecessary interventions that drivers perform.
Tesla Semi finally has an FSD timeline and it’s waiting on the Cybercab
Tesla (TSLA) Q2 2026 earnings results: miss on EPS, beat on revenue
