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Researchers develop artificial intelligence that can identify cancer cells

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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.

Microscopic image of skin cancer cells (squamous) in a mouse (blue). | Credit: Catherine and James Galbraith, Oregon Health and Science University, Knight Cancer Institute/NIH, CC BY-NC 2.0.

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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Accidental computer geek, fascinated by most history and the multiplanetary future on its way. Quite keen on the democratization of space. | It's pronounced day-sha, but I answer to almost any variation thereof.

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Tesla reveals it is using AI to make factories more sustainable: here’s how

Tesla is using AI in its Gigafactory Nevada factory to improve HVAC efficiency.

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Credit: Tesla

Tesla has revealed in its Extended Impact Report for 2024 that it is using Artificial Intelligence (AI) to enable its factories to be more sustainable. One example it used was its achievement of managing “the majority of the HVAC infrastructure at Gigafactory Nevada is now AI-controlled” last year.

In a commitment to becoming more efficient and making its production as eco-friendly as possible, Tesla has been working for years to find solutions to reduce energy consumption in its factories.

For example, in 2023, Tesla implemented optimization controls in the plastics and paint shops located at Gigafactory Texas, which increased the efficiency of natural gas consumption. Tesla plans to phase out natural gas use across its factories eventually, but for now, it prioritizes work to reduce emissions from that energy source specifically.

It also uses Hygrometric Control Logic for Air Handling Units at Giafactory Berlin, resulting in 17,000 MWh in energy savings each year. At Gigafactory Nevada, Tesla saves 9.5 GWh of energy through the use of N-Methylpyrrolidone refineries when extracting critical raw material.

Perhaps the most interesting way Tesla is conserving energy is through the use of AI at Gigafactory Nevada, as it describes its use of AI to reduce energy demand:

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“In 2023, AI Control for HVAC was expanded from Nevada and Texas to now include our Berlin-Brandenburg and Fremont factories. AI Control policy enables HVAC systems within each factory to work together to process sensor data, model factory dynamics, and apply control actions that safely minimize the energy required to support production. In 2024, this system achieved two milestones: the majority of HVAC infrastructure at Gigafactory Nevada is now AI-controlled, reducing fan and thermal energy demand; and the AI algorithm was extended to manage entire chiller plants, creating a closed-loop control system that optimizes both chilled water consumption and the energy required for its generation, all while maintaining factory conditions.”

Tesla utilizes AI Control “primarily on systems that heat or cool critical factory production spaces and equipment.” AI Control communicates with the preexisting standard control logic of each system, and any issues can be resolved by quickly reverting back to standard control. There were none in 2024.

Tesla says that it is utilizing AI to drive impact at its factories, and it has proven to be a valuable tool in reducing energy consumption at one of its facilities.

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Tesla analysts believe Musk and Trump feud will pass

Tesla CEO Elon Musk and U.S. President Donald Trump’s feud shall pass, several bulls say.

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The White House, Public domain, via Wikimedia Commons
President Donald J. Trump purchases a Tesla on the South Lawn, Tuesday, March 11, 2025. (Official White House Photo by Molly Riley)

Tesla analysts are breaking down the current feud between CEO Elon Musk and U.S. President Donald Trump, as the two continue to disagree on the “Big Beautiful Bill” and its impact on the country’s national debt.

Musk, who headed the Department of Government Efficiency (DOGE) under the Trump Administration, left his post in May. Soon thereafter, he and President Trump entered a very public and verbal disagreement, where things turned sour. They reconciled to an extent, and things seemed to be in the past.

However, the second disagreement between the two started on Monday, as Musk continued to push back on the “Big Beautiful Bill” that the Trump administration is attempting to sign into law. It would, by Musk’s estimation, increase spending and reverse the work DOGE did to trim the deficit.

President Trump has hinted that DOGE could be “the monster” that “eats Elon,” threatening to end the subsidies that SpaceX and Tesla receive. Musk has not been opposed to ending government subsidies for companies, including his own, as long as they are all abolished.

How Tesla could benefit from the ‘Big Beautiful Bill’ that axes EV subsidies

Despite this contentious back-and-forth between the two, analysts are sharing their opinions now, and a few of the more bullish Tesla observers are convinced that this feud will pass, Trump and Musk will resolve their differences as they have before, and things will return to normal.

ARK Invest’s Cathie Wood said this morning that the feud between Musk and Trump is another example of “this too shall pass:”

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Additionally, Wedbush’s Dan Ives, in a note to investors this morning, said that the situation “will settle:”

“We believe this situation will settle and at the end of the day Musk needs Trump and Trump needs Musk given the AI Arms Race going on between the US and China. The jabs between Musk and Trump will continue as the Budget rolls through Congress but Tesla investors want Musk to focus on driving Tesla and stop this political angle…which has turned into a life of its own in a roller coaster ride since the November elections.”

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Tesla shares are down about 5 percent at 3:10 p.m. on the East Coast.

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Tesla scrambles after Musk sidekick exit, CEO takes over sales

Tesla CEO Elon Musk is reportedly overseeing sales in North America and Europe, Bloomberg reports.

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Credit: Tesla

Tesla scrambled its executives around following the exit of CEO Elon Musk’s sidekick last week, Omead Afshar. Afshar was relieved of his duties as Head of Sales for both North America and Europe.

Bloomberg is reporting that Musk is now overseeing both regions for sales, according to sources familiar with the matter. Afshar left the company last week, likely due to slow sales in both markets, ending a seven-year term with the electric automaker.

Tesla’s Omead Afshar, known as Elon Musk’s right-hand man, leaves company: reports

Afshar was promoted to the role late last year as Musk was becoming more involved in the road to the White House with President Donald Trump.

Afshar, whose LinkedIn account stated he was working within the “Office of the CEO,” was known as Musk’s right-hand man for years.

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Additionally, Tom Zhu, currently the Senior Vice President of Automotive at Tesla, will oversee sales in Asia, according to the report.

It is a scramble by Tesla to get the company’s proven executives over the pain points the automaker has found halfway through the year. Sales are looking to be close to the 1.8 million vehicles the company delivered in both of the past two years.

Tesla is pivoting to pay more attention to the struggling automotive sales that it has felt over the past six months. Although it is still performing well and is the best-selling EV maker by a long way, it is struggling to find growth despite redesigning its vehicles and launching new tech and improvements within them.

The company is also looking to focus more on its deployment of autonomous tech, especially as it recently launched its Robotaxi platform in Austin just over a week ago.

Tesla officially launches Robotaxi service with no driver

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However, while this is the long-term catalyst for Tesla, sales still need some work, and it appears the company’s strategy is to put its biggest guns on its biggest problems.

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