The Pixel 10 series might not launch until late August, but ahead of that we've already seen a possible prototype, and heard what's reportedly the ringtone.

Besides a rumor revealing the likely event date, an early prototype of the Google Pixel 10 Pro has leaked today.  more…

A new video of a dummy of the forthcoming iPhone 17 Pro Max has surfaced, backing up previous rumors that the model will be significantly thicker than the current model.Purported iPhone 17 Pro Max dummyThe news that the iPhone 17 Pro Max would have a thicker chassis than the current iPhone 16 Pro Max was first reported in March 2025. It was also reported that this model would get an advanced vapor chamber cooling system, which might account for the increased size.That cooling feature is expected to be in both of the new Pro models, but as yet there hasn't been news that the iPhone 17 Pro will also be thicker. The new video being circulated by leaker Majin Bu solely shows a dummy of the iPhone 17 Pro Max, but it does appear to confirm the extra thickness. Rumor Score: 🤔 Possible Continue Reading on AppleInsider | Discuss on our Forums

How Deepfakes Are Created Generative AI models enable the creation of highly realistic fake media. Most deepfakes today are produced by training deep neural networks on real images, video or audio of a target person. The two predominant AI architectures are generative adversarial networks (GANs) and autoencoders. A GAN consists of a generator network that produces synthetic images and a discriminator network that tries to distinguish fakes from real data. Through iterative training, the generator learns to produce outputs that increasingly fool the discriminator¹. Autoencoder-based tools similarly learn to encode a target face and then decode it onto a source video. In practice, deepfake creators use accessible software: open-source tools like DeepFaceLab and FaceSwap dominate video face-swapping (one estimate suggests DeepFaceLab was used for over 95% of known deepfake videos)². Voice-cloning tools (often built on similar AI principles) can mimic a person’s speech from minutes of audio. Commercial platforms like Synthesia allow text-to-video avatars (turning typed scripts into lifelike “spokespeople”), which have already been misused in disinformation campaigns³. Even mobile apps (e.g. FaceApp, Zao) let users do basic face swaps in minutes⁴. In short, advances in GANs and related models make deepfakes cheaper and easier to generate than ever. Diagram of a generative adversarial network (GAN): A generator network creates fake images from random input and a discriminator network distinguishes fakes from real examples. Over time the generator improves until its outputs “fool” the discriminator⁵ During creation, a deepfake algorithm is typically trained on a large dataset of real images or audio from the target. The more varied and high-quality the training data, the more realistic the deepfake. The output often then undergoes post-processing (color adjustments, lip-syncing refinements) to enhance believability¹. Technical defenses focus on two fronts: detection and authentication. Detection uses AI models to spot inconsistencies (blinking irregularities, audio artifacts or metadata mismatches) that betray a synthetic origin⁵. Authentication embeds markers before dissemination – for example, invisible watermarks or cryptographically signed metadata indicating authenticity⁶. The EU AI Act will soon mandate that major AI content providers embed machine-readable “watermark” signals in synthetic media⁷. However, as GAO notes, detection is an arms race – even a marked deepfake can sometimes evade notice – and labels alone don’t stop false narratives from spreading⁸⁹. Deepfakes in Recent Elections: Examples Deepfakes and AI-generated imagery already have made headlines in election cycles around the world. In the 2024 U.S. primary season, a digitally-altered audio robocall mimicked President Biden’s voice urging Democrats not to vote in the New Hampshire primary. The caller (“Susan Anderson”) was later fined $6 million by the FCC and indicted under existing telemarketing laws¹⁰¹¹. (Importantly, FCC rules on robocalls applied regardless of AI: the perpetrator could have used a voice actor or recording instead.) Also in 2024, former President Trump posted on social media a collage implying that pop singer Taylor Swift endorsed his campaign, using AI-generated images of Swift in “Swifties for Trump” shirts¹². The posts sparked media uproar, though analysts noted the same effect could have been achieved without AI (e.g., by photoshopping text on real images)¹². Similarly, Elon Musk’s X platform carried AI-generated clips, including a parody “Ad” depicting Vice-President Harris’s voice via an AI clone¹³. Beyond the U.S., deepfake-like content has appeared globally. In Indonesia’s 2024 presidential election, a video surfaced on social media in which a convincingly generated image of the late President Suharto appeared to endorse the candidate of the Golkar Party. Days later, the endorsed candidate (who is Suharto’s son-in-law) won the presidency¹⁴. In Bangladesh, a viral deepfake video superimposed the face of opposition leader Rumeen Farhana onto a bikini-clad body – an incendiary fabrication designed to discredit her in the conservative Muslim-majority society¹⁵. Moldova’s pro-Western President Maia Sandu has been repeatedly targeted by AI-driven disinformation; one deepfake video falsely showed her resigning and endorsing a Russian-friendly party, apparently to sow distrust in the electoral process¹⁶. Even in Taiwan (amidst tensions with China), a TikTok clip circulated that synthetically portrayed a U.S. politician making foreign-policy statements – stoking confusion ahead of Taiwanese elections¹⁷. In Slovakia’s recent campaign, AI-generated audio mimicking the liberal party leader suggested he plotted vote-rigging and beer-price hikes – instantly spreading on social media just days before the election¹⁸. These examples show that deepfakes have touched diverse polities (from Bangladesh and Indonesia to Moldova, Slovakia, India and beyond), often aiming to undermine candidates or confuse voters¹⁵¹⁸. Notably, many of the most viral “deepfakes” in 2024 were actually circulated as obvious memes or claims, rather than subtle deceptions. Experts observed that outright undetectable AI deepfakes were relatively rare; more common were AI-generated memes plainly shared by partisans, or cheaply doctored “cheapfakes” made with basic editing tools¹³¹⁹. For instance, social media was awash with memes of Kamala Harris in Soviet garb or of Black Americans holding Trump signs¹³, but these were typically used satirically, not meant to be secretly believed. Nonetheless, even unsophisticated fakes can sway opinion: a U.S. study found that false presidential ads (not necessarily AI-made) did change voter attitudes in swing states. In sum, deepfakes are a real and growing phenomenon in election campaigns²⁰²¹ worldwide – a trend taken seriously by voters and regulators alike. U.S. Legal Framework and Accountability In the U.S., deepfake creators and distributors of election misinformation face a patchwork of tools, but no single comprehensive federal “deepfake law.” Existing laws relevant to disinformation include statutes against impersonating government officials, electioneering (such as the Bipartisan Campaign Reform Act, which requires disclaimers on political ads), and targeted statutes like criminal electioneering communications. In some cases ordinary laws have been stretched: the NH robocall used the Telephone Consumer Protection Act and mail/telemarketing fraud provisions, resulting in the $6M fine and a criminal charge. Similarly, voice impostors can potentially violate laws against “false advertising” or “unlawful corporate communications.” However, these laws were enacted before AI, and litigators have warned they often do not fit neatly. For example, deceptive deepfake claims not tied to a specific victim do not easily fit into defamation or privacy torts. Voter intimidation laws (prohibiting threats or coercion) also leave a gap for non-threatening falsehoods about voting logistics or endorsements. Recognizing these gaps, some courts and agencies are invoking other theories. The U.S. Department of Justice has recently charged individuals under broad fraud statutes (e.g. for a plot to impersonate an aide to swing votes in 2020), and state attorneys general have considered deepfake misinformation as interference with voting rights. Notably, the Federal Election Commission (FEC) is preparing to enforce new rules: in April 2024 it issued an advisory opinion limiting “non-candidate electioneering communications” that use falsified media, effectively requiring that political ads use only real images of the candidate. If finalized, that would make it unlawful for campaigns to pay for ads depicting a candidate saying things they never did. Similarly, the Federal Trade Commission (FTC) and Department of Justice (DOJ) have signaled that purely commercial deepfakes could violate consumer protection or election laws (for example, liability for mass false impersonation or for foreign-funded electioneering). U.S. Legislation and Proposals Federal lawmakers have proposed new statutes. The DEEPFAKES Accountability Act (H.R.5586 in the 118th Congress) would, among other things, impose a disclosure requirement: political ads featuring a manipulated media likeness would need clear disclaimers identifying the content as synthetic. It also increases penalties for producing false election videos or audio intended to influence the vote. While not yet enacted, supporters argue it would provide a uniform rule for all federal and state campaigns. The Brennan Center supports transparency requirements over outright bans, suggesting laws should narrowly target deceptive deepfakes in paid ads or certain categories (e.g. false claims about time/place/manner of voting) while carving out parody and news coverage. At the state level, over 20 states have passed deepfake laws specifically for elections. For example, Florida and California forbid distributing falsified audio/visual media of candidates with intent to deceive voters (though Florida’s law exempts parody). Some states (like Texas) define “deepfake” in statutes and allow candidates to sue or revoke candidacies of violators. These measures have had mixed success: courts have struck down overly broad provisions that acted as prior restraints (e.g. Minnesota’s 2023 law was challenged for threatening injunctions against anyone “reasonably believed” to violate it). Critically, these state laws raise First Amendment issues: political speech is highly protected, so any restriction must be tightly tailored. Already, Texas and Virginia statutes are under legal review, and Elon Musk’s company has sued under California’s law (which requires platforms to label or block deepfakes) as unconstitutional. In practice, most lawsuits have so far centered on defamation or intellectual property (for instance, a celebrity suing over a botched celebrity-deepfake video), rather than election-focused statutes. Policy Recommendations: Balancing Integrity and Speech Given the rapidly evolving technology, experts recommend a multi-pronged approach. Most stress transparency and disclosure as core principles. For example, the Brennan Center urges requiring any political communication that uses AI-synthesized images or voice to include a clear label. This could be a digital watermark or a visible disclaimer. Transparency has two advantages: it forces campaigns and platforms to “own” the use of AI, and it alerts audiences to treat the content with skepticism. Outright bans on all deepfakes would likely violate free speech, but targeted bans on specific harms (e.g. automated phone calls impersonating voters, or videos claiming false polling information) may be defensible. Indeed, Florida already penalizes misuse of recordings in voter suppression. Another recommendation is limited liability: tying penalties to demonstrable intent to mislead, not to the mere act of content creation. Both U.S. federal proposals and EU law generally condition fines on the “appearance of fraud” or deception. Technical solutions can complement laws. Watermarking original media (as encouraged by the EU AI Act) could deter the reuse of authentic images in doctored fakes. Open tools for deepfake detection – some supported by government research grants – should be deployed by fact-checkers and social platforms. Making detection datasets publicly available (e.g. the MIT OpenDATATEST) helps improve AI models to spot fakes. International cooperation is also urged: cross-border agreements on information-sharing could help trace and halt disinformation campaigns. The G7 and APEC have all recently committed to fighting election interference via AI, which may lead to joint norms or rapid response teams. Ultimately, many analysts believe the strongest “cure” is a well-informed public: education campaigns to teach voters to question sensational media, and a robust independent press to debunk falsehoods swiftly. While the law can penalize the worst offenders, awareness and resilience in the electorate are crucial buffers against influence operations. As Georgia Tech’s Sean Parker quipped in 2019, “the real question is not if deepfakes will influence elections, but who will be empowered by the first effective one.” Thus policies should aim to deter malicious use without unduly chilling innovation or satire. References: https://www.security.org/resources/deepfake-statistics/. https://www.wired.com/story/synthesia-ai-deepfakes-it-control-riparbelli/. https://www.gao.gov/products/gao-24-107292. https://technologyquotient.freshfields.com/post/102jb19/eu-ai-act-unpacked-8-new-rules-on-deepfakes. https://knightcolumbia.org/blog/we-looked-at-78-election-deepfakes-political-misinformation-is-not-an-ai-problem. https://www.npr.org/2024/12/21/nx-s1-5220301/deepfakes-memes-artificial-intelligence-elections. https://apnews.com/article/artificial-intelligence-elections-disinformation-chatgpt-bc283e7426402f0b4baa7df280a4c3fd. https://www.lawfaremedia.org/article/new-and-old-tools-to-tackle-deepfakes-and-election-lies-in-2024. https://www.brennancenter.org/our-work/research-reports/regulating-ai-deepfakes-and-synthetic-media-political-arena. https://firstamendment.mtsu.edu/article/political-deepfakes-and-elections/. https://www.ncsl.org/technology-and-communication/deceptive-audio-or-visual-media-deepfakes-2024-legislation. https://law.unh.edu/sites/default/files/media/2022/06/nagumotu_pp113-157.pdf. https://dfrlab.org/2024/10/02/brazil-election-ai-research/. https://dfrlab.org/2024/11/26/brazil-election-ai-deepfakes/. https://freedomhouse.org/article/eu-digital-services-act-win-transparency. The post The Legal Accountability of AI-Generated Deepfakes in Election Misinformation appeared first on MarkTechPost.

Male fertility rates have been plummeting over the past half-century. An analysis from 1992 noted a steady decrease in sperm counts and quality since the 1940s. A more recent study found that male infertility rates increased nearly 80% from 1990 to 2019. The reasons driving this trend remain a mystery, but frequently cited culprits include obesity, poor diet, and environmental toxins. Infectious diseases such as gonorrhea or chlamydia are often overlooked factors that affect fertility in men. Accumulating evidence suggests that a common single-celled parasite called Toxoplasma gondii may also be a contributor: An April 2025 study showed for the first time that “human sperm lose their heads upon direct contact” with the parasite. I am a microbiologist, and my lab studies Toxoplasma. This new study bolsters emerging findings that underscore the importance of preventing this parasitic infection. The many ways you can get toxoplasmosis Infected cats defecate Toxoplasma eggs into the litter box, garden or other places in the environment where they can be picked up by humans or other animals. Water, shellfish and unwashed fruits and vegetables can also harbor infectious parasite eggs. In addition to eggs, tissue cysts present in the meat of warm-blooded animals can spread toxoplasmosis as well if they are not destroyed by cooking to proper temperature. While most hosts of the parasite can control the initial infection with few if any symptoms, Toxoplasma remains in the body for life as dormant cysts in brain, heart and muscle tissue. These cysts can reactivate and cause additional episodes of severe illness that damage critical organ systems. Between 30% and 50% of the world’s population is permanently infected with Toxoplasma due to the many ways the parasite can spread. Toxoplasma can target male reproductive organs Upon infection, Toxoplasma spreads to virtually every organ and skeletal muscle. Evidence that Toxoplasma can also target human male reproductive organs first surfaced during the height of the AIDS pandemic in the 1980s, when some patients presented with the parasitic infection in their testes. While immunocompromised patients are most at risk for testicular toxoplasmosis, it can also occur in otherwise healthy individuals. Imaging studies of infected mice confirm that Toxoplasma parasites quickly travel to the testes in addition to the brain and eyes within days of infection. Toxoplasma cysts floating in cat feces. DPDx Image Library/CDC In 2017, my colleagues and I found that Toxoplasma can also form cysts in mouse prostates. Researchers have also observed these parasites in the ejaculate of many animals, including human semen, raising the possibility of sexual transmission. Knowing that Toxoplasma can reside in male reproductive organs has prompted analyses of fertility in infected men. A small 2021 study in Prague of 163 men infected with Toxoplasma found that over 86% had semen anomalies. A 2002 study in China found that infertile couples are more likely to have a Toxoplasma infection than fertile couples, 34.83% versus 12.11%. A 2005 study in China also found that sterile men are more likely to test positive for Toxoplasma than fertile men. Not all studies, however, produce a link between toxoplasmosis and sperm quality. Toxoplasma can directly damage human sperm Toxoplasmosis in animals mirrors infection in humans, which allows researchers to address questions that are not easy to examine in people. Testicular function and sperm production are sharply diminished in Toxoplasma-infected mice, rats and rams. Infected mice have significantly lower sperm counts and a higher proportion of abnormally shaped sperm. In that April 2025 study, researchers from Germany, Uruguay, and Chile observed that Toxoplasma can reach the testes and epididymis, the tube where sperm mature and are stored, two days after infection in mice. This finding prompted the team to test what happens when the parasite comes into direct contact with human sperm in a test tube. After only five minutes of exposure to the parasite, 22.4% of sperm cells were beheaded. The number of decapitated sperm increased the longer they interacted with the parasites. Sperm cells that maintained their head were often twisted and misshapen. Some sperm cells had holes in their head, suggesting the parasites were trying to invade them as it would any other type of cell in the organs it infiltrates. In addition to direct contact, Toxoplasma may also damage sperm because the infection promotes chronic inflammation. Inflammatory conditions in the male reproductive tract are harmful to sperm production and function. The researchers speculate that the harmful effects Toxoplasma may have on sperm could be contributing to large global declines in male fertility over the past decades. Sperm exposed to Toxoplasma. Arrows point to holes and other damage to the sperm; asterisks indicate where the parasite has burrowed. The two nonconfronted controls at the bottom show normal sperm. Rojas-Barón et al/The FEBS Journal, CC BY-SA Preventing toxoplasmosis The evidence that Toxoplasma can infiltrate male reproductive organs in animals is compelling, but whether this produces health issues in people remains unclear. Testicular toxoplasmosis shows that parasites can invade human testes, but symptomatic disease is very rare. Studies to date that show defects in the sperm of infected men are too small to draw firm conclusions at this time. Additionally, some reports suggest that rates of toxoplasmosis in high-income countries have not been increasing over the past few decades while male infertility was rising, so it’s likely to only be one part of the puzzle. Regardless of this parasite’s potential effect on fertility, it is wise to avoid Toxoplasma. An infection can cause miscarriage or birth defects if someone acquires it for the first time during pregnancy, and it can be life-threatening for immunocompromised people. Toxoplasma is also the leading cause of death from foodborne illness in the United States. Taking proper care of your cat, promptly cleaning the litter box and thoroughly washing your hands after can help reduce your exposure to Toxoplasma. You can also protect yourself from this parasite by washing fruits and vegetables, cooking meat to proper temperatures before consuming and avoiding raw shellfish, raw water and raw milk. Bill Sullivan, Professor of Microbiology and Immunology, Indiana University. This article is republished from The Conversation under a Creative Commons license. Read the original article.

May 30, 20256 min readInside the Lifesaving Power of Doppler Weather RadarDoppler radar is one of the most revolutionary and lifesaving tools of modern meteorology, which has experts worried about outages because of recent staffing cuts and conspiracy theoriesBy Andrea Thompson edited by Dean Visser Mfotophile/Getty ImagesOutside every National Weather Service (NWS) office around the U.S. stands what looks like an enormous white soccer ball, perched atop metal scaffolding several stories high. These somewhat plain spheres look as ho-hum as a town water tower, but tucked inside each is one of modern meteorology’s most revolutionary and lifesaving tools: Doppler radar.The national network of 160 high-resolution radars, installed in 1988 and updated in 2012, sends out microwave pulses that bounce off raindrops or other precipitation to help forecasters see what is falling and how much—providing crucial early information about events ranging from flash floods to blizzards. And the network is especially irreplaceable when it comes to spotting tornadoes; it has substantially lengthened warning times and reduced deaths. Doppler radar has “really revolutionized how we’ve been able to issue warnings,” says Ryan Hanrahan, chief meteorologist of the NBC Connecticut StormTracker team.But now meteorologists and emergency managers are increasingly worried about what might happen if any of these radars go offline, whether because of cuts to the NWS made by the Trump administration or threats from groups that espouse conspiracy theories about the radars being used to control the weather. “Losing radar capabilities would “take us back in time by four decades,” says Jana Houser, a tornado researcher at the Ohio State University. If they go down, “there’s no way we’re going to be effective at storm warnings.”On supporting science journalismIf you're enjoying this article, consider supporting our award-winning journalism by subscribing. By purchasing a subscription you are helping to ensure the future of impactful stories about the discoveries and ideas shaping our world today.How Doppler radars workThe NWS installations form a network called the Next Generation Weather Radar, or NEXRAD. Inside each giant white sphere is a device that looks like a larger version of a home satellite TV dish, with a transmitter that emits pulses in the microwave region of the electromagnetic spectrum. Those pulses bounce off raindrops, snowflakes, hailstones—what meteorologists collectively call hydrometeors—and back to the dish antenna. (The pulses also sometimes bounce off bats, birds and even moving trains, which yield characteristic radar patterns that experts can usually identify.)Amanda MontañezThe power of the returning signals lets experts create a picture of size, shape and intensity of any precipitation—and this is what you see on a phone app’s radar map or a TV broadcast.But NEXRAD can do much, much more than show how hard it’s raining. Within its sphere, each unit rotates and scans up and down through the sky, helping forecasters see what is happening at multiple levels of a storm system. These vertical profiles can show, for example, whether a tornado is forming or a storm is creating a downburst—a rapid downward blast of wind. “Doppler radar basically allows us to see in the clouds,” Hanrahan says.And then there’s the “Doppler” part itself. The name refers to a phenomenon that’s familiar to many, thanks to the electromagnetic waves’ acoustic counterpart. We’ve all experienced this, often most obviously when we hear an emergency vehicle siren pass nearby: the pitch increases as the car gets closer and decreases as it moves away. Similarly, the returning radar bounce from a rain droplet or piece of tornadic debris that is moving toward the emitter will have a shorter wavelength than the pulse that was sent out, and the signal from an object moving away from the radar will have a longer wavelength. This allows the radar to efficiently distinguish the tight circulation of a tornado.These two images show how dual-polarization helps NWS forecasters detect a tornado that is producing damage. The left image shows how the Doppler radar can detect rotation. Between the two yellow arrows, the red color indicates outbound wind, while the green color indicate inbound wind, relative to the location of the radar. The right image shows how dual-polarization information helps detect debris picked up by the tornado.NOAAThe nation’s radar system was upgraded in 2012 to include what is called dual polarization. This means the signal has both vertically and horizontally oriented wavelengths, providing information about precipitation in more than one dimension. “A drizzle droplet is almost perfectly spherical, so it returns the same amount of power in the horizontal and in the vertical,” Hanrahan says, whereas giant drops look almost like “hamburger buns” and so send back more power in the horizontal than the vertical.Are Doppler radars dangerous? Can they affect the weather?Doppler radars do not pose any danger to people, wildlife or structures—and they cannot affect the weather.Along the electromagnetic spectrum, it is the portions with shorter wavelengths such as gamma rays and ultraviolet radiation that can readily damage the human body—because their wavelengths are the right size to interact with and damage DNA or our cells. Doppler radars emit pulses in wavelengths about the size of a baseball.Amanda MontañezBeing hit by extremely concentrated microwave radiation could be harmful; this is why microwave ovens have mesh screens that keep the rays from escaping. Similarly, you wouldn’t want to stand directly in front of a radar microwave beam. Military radar technicians found this out years ago when working on radars under operation, University of California, Los Angeles, climate scientist Daniel Swain said during one of his regular YouTube talks. They “had experiences like the candy bar in their pocket instantly melting and then feeling their skin getting really hot,” he said.Similar to how a microwave oven works, when the microwave signal from a radar hits a hydrometeor, the water molecules vibrate and so generate heat because of friction and reradiate some of the received energy, says Cynthia Fay, who serves as a focal point for the National Weather Service’s Radar Operations Center. But “microwave radiation is really not very powerful, and the whole point is that if you stand more than a couple dozen feet away from the dome it's not even really going to affect your body, let alone the global atmosphere,” Swain adds.At the radar’s antenna, the average power is about 23.5 megawatts (MW) of energy, Fay says. (A weak or moderate thunderstorm may generate about 18 MW in about an hour.) But the energy from the radar signal dissipates very rapidly with distance: at just one kilometer from the radar, the power is 0.0000019 MW, and at the radar’s maximum range of 460 kilometers, it is 8.8 x 10–12 MW, Fay says. “Once you’re miles away, it’s just really not a dangerous amount” of energy, Swain said in his video.A supercell thunderstorm that produced an F4 tornado near Meriden, KS, in May 1960, as seen from the WSR-3 radar in Topeka (left). A supercell thunderstorm that produced an EF5 tornado in Moore, OK, in May 2013, as seen from a modern Doppler weather radar near Oklahoma City (right).NOAAAnd Doppler radars spend most of their time listening for returns. According to the NWS, for every hour of operation, a radar may spend as little as seven seconds sending out pulses.The idea that Doppler radar can control or affect the weather is “a long-standing conspiracy [theory] that has existed really for decades but has kind of accelerated in recent years,” Swain said in his video. It has resurfaced recently with threats to the National Oceanic and Atmospheric Administration radar system from an antigovernment militia group, as first reported by CNN. The Washington Post reported that the group’s founder said that its members were carrying out “attack simulations” on sites in order to later destroy the radars,—which the group believes are “weather weapons,” according to an internal NOAA e-mail. NOAA has advised radar technicians at the NWS’s offices to exercise caution and work in teams when going out to service radars—and to notify local law enforcement of any suspicious activity.“NOAA is aware of recent threats against NEXRAD weather radar sites and is working with local and other authorities in monitoring the situation closely,” wrote a NWS spokesperson in response to a request for comment from Scientific American.What happens if weather radars go offline?NOAA’s radars have been on duty for 24 hours a day, seven days a week and 365 days a year since 1988 (with brief downtimes for maintenance and upgrades). “It’s amazing what workhorses these radars have been,” Hanrahan says.The image on the left shows a reflectivity radar image of a supercell thunderstorm that produced several tornadoes on April 19, 2023, near Oklahoma City, OK. The hook shape present often indicates rotation within the storm. The image on the right show velocity information that corresponds to the reflectivity image. Very strong inbound winds (green colors) are next to very strong outbound winds (bright red/yellow colors). This very strong inbound/outbound “couplet” indicates the very strong rotation of a tornado.NOAABut they do require that periodic maintenance because of all the large moving parts needed to operate them. And with Trump administration cuts to NOAA staffing and freezes on some spending, “we just got rid of a lot of the radar maintenance technicians, and we got rid of the budget to repair a lot of these sites,” Swain said in his video. “Most of these are functioning fine right now. The question is: What happens once they go down, once they need a repair?”It is this outage possibility that most worries weather experts, particularly if the breakdowns occur during any kind of severe weather. “Radars are key instruments in issuing tornado warnings,” the Ohio State University’s Houser says. “If a radar goes down, we’re basically down as to what the larger picture is.”And for much of the country—particularly in the West—there is little to no overlap in the areas that each radar covers, meaning other sites would not be able to step in if a neighboring radar is out. Hanrahan says the information provided by the radars is irreplaceable, and the 2012 upgrades mean “we don’t even need to have eyes on a tornado now to know that it’s happening. It’s something that I think we take for granted now.”

Salesforce has acquired cloud data management firm Informatica in an $8 billion equity deal, marking a major move in its push to strengthen its AI and data infrastructure capabilities. The announcement, made Tuesday, comes about a year after early rumors of the acquisition sent both companies’ stock prices sliding. At the time, Informatica denied it was for sale, but a lot can change in a year. Under the terms of the deal, Salesforce will pay $25 in cash per share for Informatica’s Class A and Class B-1 common stock, adjusting for its prior investment in the company. Informatica was founded in 1993 and works with more than 5,000 customers across more than 100 countries. The company had a $7.1 billion market cap at the time of publication. This acquisition will help bolster Salesforce’s agentic AI ambitions, the company’s press release stated, by giving the company more data infrastructure and governance to help its AI agents run more “safely, responsibly, and at scale across the modern enterprise.” “Together, we’ll supercharge Agentforce, Data Cloud, Tableau, MuleSoft, and Customer 360, enabling autonomous agents to act with intelligence, context, and confidence across every enterprise,” Salesforce CEO Marc Benioff said in the press release. “This is a transformational step in delivering enterprise-grade AI that is safe, responsible, and deeply integrated with the world’s data.” The path to this deal began in April 2024, when reports surfaced that Salesforce was eyeing Informatica. The market reaction was swift — both companies’ shares dipped on fears of a difficult integration or strategic mismatch. Informatica later issued a public statement denying any sale discussions. But what once seemed unlikely is now official. Techcrunch event Join us at TechCrunch Sessions: AI Secure your spot for our leading AI industry event with speakers from OpenAI, Anthropic, and Cohere. For a limited time, tickets are just $292 for an entire day of expert talks, workshops, and potent networking. Exhibit at TechCrunch Sessions: AI Secure your spot at TC Sessions: AI and show 1,200+ decision-makers what you’ve built — without the big spend. Available through May 9 or while tables last. Berkeley, CA | June 5 REGISTER NOW Informatica isn’t the first data management company Salesforce has acquired in the past year. In September, Salesforce snapped up Own Company for $1.9 billion in cash. “Data security has never been more critical, and Own’s proven expertise and products will enhance our ability to offer robust data protection and management solutions to our customers,” Salesforce general manager Steve Fisher said in a press release at the time. TechCrunch has reached out to Salesforce for more information.

Motorola Edge 2025 will likely launch later this year. The company has yet to confirm any details about the purported handset, However, leaked design renders of the model have surfaced online. It shows a similar design language to the preceding Motorola Edge 2024, but with an upgraded rear camera setup. Notably, the Motorola Edge 2024 was unveiled in select global markets in June 2024 with a Snapdragon 7s Gen 2 SoC, a 6.6-inch full HD+ curved pOLED screen, and a 50-megapixel dual rear camera unit.Motorola Edge 2025 Leaked Design RenderThe Motorola Edge 2025 has a largely similar design to the Motorola Edge 2024, according to leaked renders shared by tipster Evan Blass (@evleaks) in an X post. The purported handset appears with a curved display with very slim bezels and a centred hole-punch slot at the top.Motorola Edge 2025 leaked design renderPhoto Credit: X/@evleaksIt has a Quick Button on the left edge, similar to the preceding model. It is expected to be a customisable button which can be used to launch an app or perform a specific action within an app.The right edge of the Motorola Edge 2025 appear to house the volume and power buttons. The back panel is seen with a vegan leather finish in a dark green colourway. The rear camera unit is placed within a slightly raised, seamless, squarish module and has three camera sensors alongside an LED flash unit.Notably, the Motorola Edge 2024 comes with a 50-megapixel dual rear camera unit, including a 13-megapixel ultra-wide-angle shooter. It has a 32-megapixel front camera sensor as well. It sports a 6.6-inch full HD+ curved pOLED display, a Snapdragon 7s Gen 2 SoC, a 5,000mAh battery, and an IP68 build for dust and water resistance.  In the US, the Motorola Edge 2024 was priced at $549.99 (roughly Rs. 45,900) during launch for the sole 8GB + 256GB RAM and storage configuration. 

President Donald Trump has disrupted global trade and roiled markets in an effort to bring manufacturing jobs back to the U.S. Some of his top tech allies, however, have backed ventures that replace human workers with robots.Elon Musk, a top donor and adviser to Trump, has touted humanoid robots as a future growth area for electric-carmaker Tesla. "You can produce any product,” Musk said of the robots’ potential capacity during a February interview with Dubai's World Governments Summit.Amazon founder Jeff Bezos, who Trump last month called “terrific,” has invested in several advanced robotics firms.Bezos last year poured funds into Figure, a humanoid robot company that says its initial rollout will focus on manufacturers and warehouses, among other business applications. “We believe humanoids will revolutionize a variety of industries,” the company says on its website.Nvidia CEO Jensen Huang and OpenAI CEO Sam Altman – both of whom joined Trump on his recent trip to the Middle East – helmed their respective companies as each invested in Figure. OpenAI ended its partnership with Figure last year.“Trump is talking about bringing back the jobs, and he’s not understanding the tension between that goal and automation, which the tech bros have enthusiasm for,” Harry Holzer, a professor of public policy at Georgetown University and a former chief economist at the U.S. Department of Labor, told ABC News. “There’s a fundamental conflict between those goals.”MORE: Trump wants Apple to make iPhones in the US. Will it ever happen?Musk did not immediately respond to ABC News’ request for comment made through Musk-owned firm SpaceX. Neither Bezos, Huang nor Altman responded to ABC News’ request.Speaking at a conference in April, Huang said the onset of artificial intelligence would fuel "new types of factories," which in turn would create jobs in construction and steelmaking, as well as in trades such as plumbing and electricity.Even more, Huang said, AI is set to trigger a surge in productivity at companies that adopt the new technology, allowing them to add employees as the firms increase output and revenue."New jobs will be created, some jobs will be lost, every job will be changed," Huang said. "Remember, it's not AI that's going to take your job. It's not AI that's going to destroy your company. It's the company and the person who uses AI that's going to take your job. And so that's something to internalize."Even after a rollback of some levies, consumers face the highest overall average effective tariff rate since 1934, the Yale Budget Lab found earlier this month.A key reason for the tariffs, White House officials say: Reshoring factories and rejuvenating employment in the manufacturing industry.Commerce Secretary Howard Lutnick said this month in an interview with Fox News that Trump's vision for ushering in a "golden age" for America involved enticing manufacturers to open factories and build in the United States."We're going to have huge jobs in manufacturing. You've heard the president talk about trillions and trillions of factories being built in America," he said in the interview on May 11.In response to ABC News' request for comment, White House Spokesperson Kush Desai said "the importance of President Trump’s push to reinvigorate American industry goes beyond creating good-paying jobs for everyday Americans.""Supply chain shocks of critical pharmaceuticals, medical equipment, and semiconductors during the COVID era prove that America cannot rely on foreign imports. The Trump administration remains committed to reshoring manufacturing that’s critical to our national and economic security with a multifaceted approach of tariffs, tax cuts, rapid deregulation, and domestic energy production," Desai added.The share of U.S. workers in manufacturing has plummeted for decades. Roughly 8% of U.S. workers currently hold positions in manufacturing, which marks a steep decline from about a quarter of all employees as recently as 1970.Researchers attribute such decline to overlapping trends, including the offshoring of manufacturing to low-wage markets overseas and the adoption of labor-saving technology throughout the sector.Long before current advances, automation significantly increased productivity in U.S. factories, meaning the same number of workers could produce many more goods, researchers at Ball State University found in 2015. As a result, they said, manufacturing employment stagnated for decades even as output climbed.Popular Reads“Automation is something we’ve seen for a long time,” Philipp Kircher, a professor of industrial and labor relations at Cornell University, told ABC News.CEO of Meta and Facebook Mark Zuckerberg, Lauren Sanchez, Amazon founder Jeff Bezos, Google CEO Sundar Pichai and Tesla and SpaceX CEO Elon Musk attend the inauguration ceremony of Donald Trump in Washington, D.C., on Jan. 20, 2025.Julia Demaree Nikhinson, Pool via AFP via Getty Images, FILESome of Trump’s tech allies have backed firms that seek to further automate manufacturing, touting a new wave of artificial-intelligence equipped robots as a replacement for some workers and salve for labor shortages.Robotics outfit Vicarious boasts $250 million in investments from a set of backers that includes Bezos, Musk and Meta CEO Mark Zuckerberg – all of whom flanked Trump during his inauguration.On a webpage displaying photos of robots for use in warehouse settings, Vicarious tells potential clients that the products can “reduce both your costs and person-hour needs.”In 2022, Vicarious was acquired by Alphabet-backed robotics software firm Intrinsic. Alphabet CEO Sundar Pichai also sat alongside tech leaders at Trump’s inauguration.Alphabet did not respond to ABC News' request for comment. Meta declined to comment.Yong Suk Lee, a professor of economics and technology at the University of Notre Dame, described the views on automation among Trump’s tech allies and some of his trade advisers as “opposed.”The tech position, Lee said, would likely win out, even if some firms do open plants in the U.S.“If you want to reshore, are you going to pay the same wages as Vietnam? Probably not,” Lee said. “Companies are faced with higher labor costs. In that case, they’ll probably automate.”Discordant views among some tech leaders and White House officials surfaced in April, when Musk sharply criticized tariff-advocate Peter Navarro, Trump’s senior counselor for trade and manufacturing. Navarro, Musk said, is “truly a moron.”In an interview with CNBC, Navarro responded, saying Musk "isn't a car manufacturer — he's a car assembler.”MORE: Target CEO says tariffs risk 'massive' costs, but price hikes a 'last resort'To be sure, analysts said, automation in manufacturing would likely continue regardless of support from Trump’s tech allies, since producers are locked in a competition to lower costs and increase output. The precise outlook for manufacturing employment is unclear, they added, since additional technology may add jobs for those maintaining and optimizing the machinery.“Whether it’s the companies that currently support the U.S. president or not, somebody would be doing this innovation, maybe slightly slower,” Kircher said.Even at current employment levels, a labor shortage bedevils U.S. manufacturers. Roughly one of every five U.S. factories that failed to produce at full capacity cited a shortage of workers, Jason Miller, a professor of supply chain management at Michigan State University, found in a January study analyzing government data.Agility Robots, an Amazon-backed firm building humanoid robots, identifies the current push for rejuvenated U.S. manufacturing as an opportunity for greater adoption of technology.“Manufacturing companies are seeing a massive reshoring movement spanning various industries,” Agility Robots says on its website. “Adding a humanoid robot to your manufacturing facility is a great way to stay on the leading edge of automation.”In response to ABC News' request for comment, an Amazon spokesperson pointed to previous remarks about robotics made by a company executive."Our goal is to ensure these systems improve safety and productivity. Technology should be used to help us retain and grow our talent through skill development and reimagining how we make our workplace better, both in productivity and safety. If we do this well, we’re certain to always innovate for our customers," Tye Brady, chief technologist at Amazon Robotics, said in a September blog post.Amazon has "created more U.S. jobs in the last decade than any other company," Amazon said this month.

Details about an unreleased MacBook Pro configuration have surfaced on Chinese social media, suggesting that Apple may have evaluated a version with the M3 Ultra chip.Apple tested an M3 Ultra variant of the MacBook Pro, according to an iOS 18 code leak.The current 14-inch MacBook Pro and 16-inch MacBook Pro are available with Apple's M4 line of chips, including the M4, M4 Pro, and M4 Max. The same can be said for their M3 series counterparts, but a new leak suggests there may have been a fourth configuration planned.On Friday, a post on the Chinese website BiliBili detailed a few scrapped iPhone, iPad, and Mac configurations. The post's author lists observations derived from the OS of a pre-production prototype of the iPhone 16. Rumor Score: 🤔 Possible Continue Reading on AppleInsider | Discuss on our Forums