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Researchers develop artificial intelligence that can identify cancer cells
Scientists from Osaka University in Japan have developed artificial intelligence (AI) that can identify different types of cancers based on microscopy images of their cells. The AI was also able to determine whether the cancer cells were resistant to radiation, and further learned the differences between human and animal cancers. Since the accuracy and timeliness of traditional methods of identifying cancer cells are prone to delays and errors, an accurate and automated system for accomplishing this would be beneficial to cancer research and treatment overall. The results of the scientists’ research were published in the December 2018 issue of Cancer Research.
The type of AI developed for the cell identification is called a convolutional neural network (CNN); it’s loosely based on the connectivity patterns used by neurons in the brain and primarily used for classifying images. As described in their publication, the scientists used a training set of 10,000 images each of human cervical cancer cells (ME-180) and mouse squamous cancer cells (NR-S1), e.g., the thin, flat types of cells found on the surface of the skin and thin linings around various organs throughout the body. They also included images of radioresistant clones with the set, and ultimately obtained a 96% accuracy in a 2,000 image test.
Because the types of cells in a single cancerous tumor can vary widely, identifying the specific cells present is important for determining the best treatment. Thus, having a tool to provide this information quickly and accurately could have a significant impact. The Osaka team hopes to expand the types of cancers their AI can identify and ultimately establish a universal system that can identify all cancer cell types.
Using artificial intelligence in the battle against cancer is being explored throughout the world as the number of uses devised expands. In one notable instance, a team of scientists from The Institute of Cancer Research in London and the University of Edinburgh has developed an AI technique called REVOLVER (repeated evolution of cancer) which identifies DNA mutation patterns in cancers to predict the ways they will change in response to treatment. Similar to how bacteria become resistant to antibiotics, so too can cancers become resistant to the drugs used against them. By removing the unpredictability variable in cancer behavior, scientists would be able to stay ahead of the disease’s progress and tailor treatments accordingly.
The collaboration between AI and healthcare overall is growing, not just in cancer research – even Google is making contributions to the field. Fortunately, the agencies regulating developments are also attuned to the changes. Earlier this year at the AcademyHealth 2018 Health Datapalooza, the U.S. Food and Drug Administration (FDA) Commissioner Scott Gottlieb, MD signaled the agency’s positive position towards the field. “AI holds enormous promise for the future of medicine, and we’re actively developing a new regulatory framework to promote innovation in this space and support the use of AI-based technologies,” he stated at the event. He also referred to the agency’s plans to streamline their regulations and tools to be sufficiently flexible to handle the rapid pace of advancements and “focus on the ways in which real-world data flows.”
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Swedish unions consider police report over Tesla Megapack Supercharger
The Tesla Megapack Supercharger opened shortly before Christmas in Arlandastad, outside Stockholm.
Swedish labor unions are considering whether to file a police report related to a newly opened Tesla Megapack Supercharger near Stockholm, citing questions about how electricity is supplied to the site. The matter has also been referred to Sweden’s energy regulator.
Tesla Megapack Supercharger
The Tesla Megapack Supercharger opened shortly before Christmas in Arlandastad, outside Stockholm. Unlike traditional charging stations, the site is powered by an on-site Megapack battery rather than a direct grid connection. Typical grid connections for Tesla charging sites in Sweden have seen challenges for nearly two years due to union blockades.
Swedish labor union IF Metall has submitted a report to the Energy Market Inspectorate, asking the authority to assess whether electricity supplied to the battery system meets regulatory requirements, as noted in a report from Dagens Arbete (DA). The Tesla Megapack on the site is charged using electricity supplied by a local company, though the specific provider has not been publicly identified.
Peter Lydell, an ombudsman at IF Metall, issued a comment about the Tesla Megapack Supercharger. “The legislation states that only companies that engage in electricity trading may supply electricity to other parties. You may not supply electricity without a permit, then you are engaging in illegal electricity trading. That is why we have reported this… This is about a company that helps Tesla circumvent the conflict measures that exist. It is clear that it is troublesome and it can also have consequences,” Lydell said.
Police report under consideration
The Swedish Electricians’ Association has also examined the Tesla Megapack Supercharger and documented its power setup. As per materials submitted to the Energy Market Inspectorate, electrical cables were reportedly routed from a property located approximately 500 meters from the charging site.
Tomas Jansson, ombudsman and deputy head of negotiations at the Swedish Electricians’ Association, stated that the union was assessing whether to file a police report related to the Tesla Megapack Supercharger. He also confirmed that the electricians’ union was coordinating with IF Metall about the matter. “We have a close collaboration with IF Metall, and we are currently investigating this. We support IF Metall in their fight for fair conditions at Tesla,” Jansson said.
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Tesla HW4.5 spotted in new Model Y, triggers speculation
Owners taking delivery of recent Model Y builds have identified components labeled “AP45.”
Tesla’s Hardware 4.5 computer appears to have surfaced in newly delivered Model Y vehicles, prompting fresh speculation about an interim upgrade ahead of the company’s upcoming AI5 chip.
Owners taking delivery of recent Model Y builds have identified components labeled “AP45,” suggesting Tesla may have quietly started rolling out revised autonomy hardware.
Hardware 4.5 appears in new Model Y units
The potential Hardware 4.5 sighting was first reported by Model Y owner @Eric5un, who shared details of a Fremont-built 2026 Model Y AWD Premium delivered this January. As per the Model Y owner, the vehicle includes a new front camera housing and a 16-inch center display, along with an Autopilot computer labeled “AP45” and part number 2261336-02-A.
The Tesla owner later explained that he confirmed the part number by briefly pulling down the upper carpet liner below the Model Y’s glovebox. Other owners soon reported similar findings. One Model Y Performance owner noted that their December build also appeared to include Hardware 4.5, while another owner of an Austin-built Model Y Performance reported spotting the same “AP45” hardware.
These sightings suggest that Tesla may already be installing revised FSD computers in its new Model Y batches, despite the company not yet making any formal announcements about Hardware 4.5.
What Hardware 4.5 could represent
Clues about Hardware 4.5 have surfaced previously in Tesla’s Electronic Parts Catalog. As reported by NotATeslaApp, the catalog has listed a component described as “CAR COMPUTER – LEFT HAND DRIVE – PROVISIONED – HARDWARE 4.5.” The component, which features the part number 2261336-S2-A, is priced at $2,300.00.
Longtime Tesla hacker @greentheonly has noted that Tesla software has contained references to a possible three-SoC architecture for some time. Previous generations of Tesla’s FSD computer, including Hardware 3 and Hardware 4, use a dual-SoC design for redundancy. A three-SoC layout could allow for higher inference throughput and improved fault tolerance.
Such an architecture could also serve as a bridge to AI5, Tesla’s next-generation autonomy chip expected to enter production later in 2026. As Tesla’s neural networks grow larger and more computationally demanding, Hardware 4.5 may provide additional headroom for vehicles built before AI5 becomes widely available.
Elon Musk
Elon Musk’s Grokipedia is getting cited by OpenAI’s ChatGPT
Some responses generated by OpenAI’s ChatGPT have recently referenced information from Grokipedia.
Some responses generated by OpenAI’s ChatGPT have recently referenced information from Grokipedia, an AI-generated encyclopedia developed by rival xAI, which was founded by Elon Musk. The citations appeared across a limited set of queries.
Reports about the matter were initially reported by The Guardian.
Grokipedia references in ChatGPT
Grokipedia launched in October as part of xAI’s effort to build an alternative to Wikipedia, which has become less centrist over the years. Unlike Wikipedia, which is moderated and edited by humans, Grokipedia is purely AI-powered, allowing it to approach topics with as little bias as possible, at least in theory. This model has also allowed Grokipedia to grow its article base quickly, with recent reports indicating that it has created over 6 million articles, more than 80% of English Wikipedia.
The Guardian reported that ChatGPT cited Grokipedia nine times across responses to more than a dozen user questions during its tests. As per the publication, the Grokipedia citations did not appear when ChatGPT was asked about high-profile or widely documented topics. Instead, Grokipedia was referenced in responses to more obscure historical or biographical claims. The pattern suggested selective use rather than broad reliance on the source, at least for now.
Broader Grokipedia use
The Guardian also noted that Grokipedia citations were not exclusive to ChatGPT. Anthropic’s AI assistant Claude reportedly showed similar references to Grokipedia in some responses, highlighting a broader issue around how large language models identify and weigh publicly available information.
In a statement to The Guardian, an OpenAI spokesperson stated that ChatGPT “aims to draw from a broad range of publicly available sources and viewpoints.” “We apply safety filters to reduce the risk of surfacing links associated with high-severity harms, and ChatGPT clearly shows which sources informed a response through citations,” the spokesperson stated.
Anthropic, for its part, did not respond to a request for comment on the matter. As for xAI, the artificial intelligence startup simply responded with a short comment that stated, “Legacy media lies.”
Swedish unions consider police report over Tesla Megapack Supercharger
Tesla HW4.5 spotted in new Model Y, triggers speculation
