TL;DR
UK tribunal rules Holiday Extras discriminated against a remote worker by refusing to let her keep her camera off during calls
Enterprises deployed AI agents ahead of the controls needed to manage them — and they did it knowingly. That is the central finding across the five parallel surveys VentureBeat Research fielded in June, spanning every layer of the agentic stack. Now those enterprises are retrofitting to catch up with their own standards, and they are budgeting for it: In each of the five control layers we measured, 57 to 68% of enterprises plan to switch vendors or add new ones within 12 months, and roughly a third, depending on the layer, plan to move within the quarter.
VentureBeat Research measured the five controls an enterprise has to build before it can trust an agent: identity, evaluation, cost telemetry, the context layer, and orchestration. Identity governs which agent is allowed to do what, under whose credentials. Evaluation determines whether the agent’s work is any good. Cost telemetry tracks what each agent costs to run. The context layer supplies the business data and definitions agents draw on when they answer. And the orchestration control plane coordinates multi-step agent work. Each of our five reports measures one of those controls.
Most deployed “agents” are chatbots wearing the label. Seventy-one percent of enterprises said a quarter or fewer of their deployed “agents” can complete multi-step work on their own; only 10% said true agents are the majority of what they run. These respondents are positioned to know: 81% recommend or decide AI purchases at their companies. A single-prompt chatbot with a human reading every answer needs none of the controls the other four reports measure. A true multi-step agent needs all of them — and most enterprises can’t say which one they’ve deployed. (Full findings: Agentic Orchestration report.)
Autonomy is outrunning trust in the evaluations that gate it. Two-thirds of enterprises either already allow an agent to push a code or system change to production on automated evaluation results alone, with no human review, or are actively engineering toward that within 12 months. Only 5% fully trust the evaluations that would make that call — and half of enterprises shipped an agent that passed internal evaluations and then caused a customer-facing failure in the past year. Before removing human review from any workflow, test evaluations against production outcomes rather than internal benchmarks. (Full findings: Agent Reliability & Evals report.)
Companies that let agents share credentials get hit more often. Sixty-nine percent of companies let at least some of their agents share credentials — multiple agents operating under one API key or service account. Organizations that allow credential sharing anywhere experienced a security incident or near-miss at a 63.5% rate (47 of 74), against 40.9% (nine of 22) at companies where every agent has its own scoped identity. The fix is scoped identity for every agent, starting with the ones that touch production systems. (Full findings: Agentic Security & Identity report.)
The most expensive hardware in the building runs at half capacity or less. More than eight in 10 enterprises that run their own GPUs reported utilization of 50% or less, and only 44% rigorously track what their AI compute actually costs and returns. The number worth chasing first isn’t more GPUs — it’s the utilization and per-workload cost of the ones already running. (Full findings: AI Infrastructure & Compute report.)
Agents answer confidently from data nobody governs. Fifty-seven percent of enterprises traced a confident, wrong agent answer in the past six months to their own missing or inconsistent business context — wrong metrics, stale definitions, absent documents — and most saw it happen more than once. Governing the definitions agents answer from — metrics and entities first — has to come before scaling the agents that depend on them. (Full findings: Context Layers / RAG report.)
No layer has an entrenched incumbent: The defaults today are the built-in tools that ship with the big AI platforms enterprises already use. Switching intent runs highest in orchestration itself, where 68% plan to adopt, add, or replace platforms within 12 months and 34% within the quarter. Our surveys did not ask which direction that money moves — toward the platforms’ built-in tools or toward the specialists challenging them — and that open question is the next four quarters of this market.
About this research
VentureBeat Research fielded five parallel surveys in June 2026 under its VB Pulse program: Agentic Orchestration (101 respondents), Agent Reliability & Evals (157), Agentic Security & Identity (107), AI Infrastructure & Compute (107), and Context Layers / RAG (101) — 573 qualified respondents in total, all at organizations with 100 or more employees. Samples are self-selected, and some findings should be read directionally; each report carries its full methodology note. What the pattern supports more strongly than any single percentage is the direction: every survey, independently, points the same way. VentureBeat produces both this research and VB Transform, the conference where these reports debuted.
Prentis, a new AI research lab focused on computer use models, co-founded by serial entrepreneur Ritankar Das, and tech heavyweights Reid Hoffman and Marc Pincus, is in talks to raise $100 million at a $1 billion valuation, according to two people familiar with the discussions.
Launched in April, Prentis is training models to learn how office workers navigate routine workflows across documents and systems, with the goal of building AI agents that can control computers to automate those tasks.
Prentis will ostensibly develop agents tailored to these customers’ needs, such as handling insurance claims and automating customs duty refund exceptions without needing a human to hunt down paperwork.
The startup has already signed contracts worth up to $50 million with several customers, including healthcare management service organization, a manufacturer, and goods and clothing manufactures, the two people familiar with the discussions tell TechCrunch, echoing investor materials obtained by TechCrunch that predict an estimated $75 million annualized run rate by the third quarter of this year. (Prentis’s pitch deck notes those figures reflect estimated annualized value based on a contracted fee equal to 20% of savings realized, not recognized revenue, and are “performance-dependent and subject to final execution.”)
By its own account, Prentis says its Hive-32B model outperforms rivals, including OpenAI’s GPT-5.4 and Anthropic’s Claude Opus 4.6, on two computer-use benchmarks: WindowsAgentArena, which measures end-to-end task completion on real Windows applications; and ScreenSpot-v2, which tests a model’s ability to locate the right on-screen control.
In its pitch deck, the company argues its edge comes from running a much smaller, cheaper model. In fact, it claims roughly 10 times lower cost per task than frontier APIs, saying it’s more economical to deploy across everyday workflows. TechCrunch hasn’t independently verified the company’s benchmark results.
The startup is betting that automating everyday office tasks will soon outpace coding as AI’s biggest use case, but it’s a crowded market. Anthropic, Open AI, and Mira Murati’s Thinking Machines are also working on developing AI agents for computer use, one of sources said. Anthropic has also been acquiring talent in the category directly — it bought the Seattle computer-use startup Vercept earlier this year, folding in its founders and shutting down its product.
Prentis didn’t respond to TechCrunch’s request for comment.
Ritankar Das, CEO of Prantis, is also the founder of Titan, a holding company that builds and operates AI companies. Das, now 31, was UC Berkeley’s youngest University Medalist in more than a century, graduating at 18 with a double major in bioengineering and chemical biology before earning a master’s in biomedical engineering at Oxford.
He founded Titan in 2014 after dropping out of an AI PhD program at Cambridge, where he’d been a Gates Cambridge Scholar. Das has described Titan as an intentional throwback to an old-fashioned holding-company model like Berkshire Hathaway, one that’s funded by its own exits rather than outside limited partners.
Other businesses launched and operated by Titan include AI-powered virtual care provider Tala Health, which raised a $100 million seed round last year, and Forta Health, an autism care startup that raised $55 million led by Insight Partners in 2024. Titan-founded disease prediction company Dascena was acquired by CirrusDx in 2022.
Prentis is a side project of sorts for its two other co-founders. Hoffman, the LinkedIn co-founder and Greylock partner, said last month that he was stepping down from Microsoft’s board after nearly a decade to go “founder mode” on Manas AI, an AI drug-discovery startup he’s also backing; he was an early OpenAI investor and co-founded Inflection AI with Mustafa Suleyman before Microsoft absorbed most of that team in 2024.
Pincus, the Zynga founder, now runs the investment firm Reinvent Capital with Hoffman as a senior adviser, and published a memoir, “Life at the Speed of Play,” last month.
Prentis has already hired more than 25 employees, including researchers who previously worked at OpenAI, Google DeepMind, Meta, Tencent and Alibaba, according to its website.
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.
UK tribunal rules Holiday Extras discriminated against a remote worker by refusing to let her keep her camera off during calls
A UK employment tribunal has ruled that forcing a remote worker with anxiety, ADHD, and autism to turn on her camera during a video training session amounted to disability discrimination. Laura Tait, a home-based travel consultant at Holiday Extras, was awarded compensation after the Croydon tribunal found the company failed to make reasonable adjustments for her conditions. The ruling does not ban camera-on policies outright, but it establishes that employers must consider individual accommodations for disabled workers who find video calls distressing.
Tait joined Holiday Extras in June 2021 as a remote consultant selling travel insurance, a role in which voice calls accounted for roughly three-quarters of customer interactions. By 2022, she had informed managers that work-induced stress was triggering repeated absences and that she could manage her anxiety more effectively through live chat and email channels. She requested that two or three days each week be allocated to text-based work instead of phone or video calls.
The company offered temporary adjustments during periods of phased return but refused to guarantee a permanent shift in her workload, arguing that voice calls were the core business function and that changes would be unfair to other staff. On August 24, 2023, during a remote training session, Tait asked to keep her camera off because she felt “super anxious,” but was told to start with it on and see how she managed. She was unable to cope and had to leave the session.
Tait went on sick leave in October 2023 and has not returned. The tribunal found that Holiday Extras failed to make several reasonable adjustments, including allowing her to join meetings with her camera off and permanently increasing her share of chat and email shifts. It concluded that accommodating Tait would have had minimal impact on more than 50 other travel consultants and that the company’s refusal left her at a substantial disadvantage.
Employment lawyers cautioned that the decision does not mean all camera-on policies are automatically unlawful, since it turned on Holiday Extras’ specific failure to adjust for a worker whose combined disabilities made video calls particularly burdensome. The case arrives as courts on both sides of the Atlantic increasingly scrutinise how workplace policies interact with disability protections, from camera requirements in remote meetings to AI systems that penalise workers on medical leave. Compensation will be decided at a later hearing.
President Donald Trump is escalating the fight over European Union antitrust penalties against Apple, Google, and other U.S. tech companies by opening a trade investigation that could lead to new tariffs.
Trump announced the investigation in a social media post after the European Commission fined Google 890 million euros on July 23 for violating the Digital Markets Act.
The fine included 460 million euros, or about $517 million, for favoring Google services in search results and 430 million euros, or about $483 million, for restricting how businesses direct Google Play users to alternative purchasing options.
“The United States of America is not a PIGGYBANK’ for Europe, nor will we allow it to be,” Trump wrote. He accused the EU of unfairly taking money from American companies and said its penalties should be reversed.
Trump predicted that the investigation would result in a “substantial tariff” against the EU. He didn’t identify a tariff rate, affected products, or a timetable for completing the investigation.
Section 301 of the Trade Act of 1974 allows the U.S. trade representative to investigate foreign government practices considered unjustifiable, unreasonable, or discriminatory and harmful to American commerce. A finding against the EU could support tariffs or other trade restrictions.
The US-based investigation obviously can’t overturn European Commission decisions or erase fines imposed under EU law. Apple and Google must separately challenge those penalties through the European legal system.
The announcement comes three days after 25 Republican lawmakers urged Trump to use Section 301 against the EU’s Digital Markets Act and Digital Services Act.
The lawmakers argued that the rules disproportionately burden American technology companies and give foreign competitors easier access to the U.S. market. European officials maintain that the regulations apply according to companies’ size and market power rather than their nationality.
Trump also threatened to use Section 301 on September 5, 2025, if foreign governments continued imposing fines and regulations that he said discriminated against American technology companies.
Although the July 23 Google fine immediately preceded Trump’s announcement, he also named Apple, Meta, Amazon, and other U.S. companies in his criticism of European regulators.
The European Commission fined Apple 500 million euros on April 23, 2025, after finding that its App Store rules restricted developers from directing customers to offers outside Apple’s payment system.
Apple appealed the fine on July 7, 2025, arguing that the Commission’s demands went beyond what the Digital Markets Act requires and dictated how Apple must operate the App Store.
The company has said it spent hundreds of thousands of engineering hours and made dozens of product and policy changes to comply with the law. Apple has also accused the Commission of repeatedly changing its expectations during the compliance process.
European regulators say the anti-steering rules give consumers access to competing offers and prevent gatekeepers from using control of an app store to disadvantage rivals. The Commission has designated services operated by Apple, Alphabet, Amazon, Meta, Microsoft, and ByteDance as gatekeepers under the DMA.
The disagreement is no longer limited to whether individual App Store or Google Play rules comply with European law. Trump is attempting to treat the EU’s regulatory system itself as a discriminatory trade practice, potentially connecting technology enforcement to tariffs on unrelated European goods.
Section 301 gives the administration a mechanism to investigate the EU and impose trade penalties if U.S. officials find that European regulations burden American commerce. The investigation marks a meaningful escalation, but it won’t determine whether Apple or Google violated European law.
Tariffs are collected from U.S. importers, which may absorb the cost or pass some of it to businesses and consumers. Any duties covering products outside the technology industry could therefore affect companies that had no role in the EU’s enforcement decisions.
The investigation, reported by The Associated Press, also follows a broader expansion of Section 301 action by the Trump administration. New tariffs on imports from more than 60 countries took effect July 23 over alleged failures to enforce bans on goods produced through forced labor.
For Apple, the investigation adds federal trade pressure to a dispute it is already fighting through European courts. It may raise the political and economic cost of future EU penalties, but only European regulators or judges can withdraw or overturn the existing fine.
Earlier this year, I picked up a rather unfortunate habit: vaping. More specifically, I started smoking flavored vapes manufactured in China’s so-called “Vape Valley” and sold throughout the United States.
Flavored nicotine vapes are largely illegal in the US, yet convenience stores and tobacco shops across the country have generated billions of dollars in sales from these products in recent years, despite periodic law enforcement seizures and efforts by the Food and Drug Administration to keep them off the market. More recently, Chinese manufacturers have found a new way to sidestep the law, escaping regulatory oversight altogether.
Like many people, I assumed the only addictive chemical in these products was synthetic nicotine, which vape manufacturers have used for years to avoid FDA oversight. But after Congress closed that loophole in 2022—expanding regulation beyond tobacco-derived nicotine—Chinese manufactures began filling their vapes with little-studied chemicals that mimic nicotine’s effects, known as nicotine analogs.
Because current regulations still narrowly define what counts as nicotine, Chinese companies have been able to sell nicotine analog vapes in the US without having to worry about federal tobacco rules, which generally require companies to submit new products to the FDA for scientific review before they can be legally marketed.
“This is just like whack-a-mole, these companies will do everything they can to circumvent regulation,” says Robert Jackler, an emeritus professor of head and neck surgery at Stanford University and the founder of an interdisciplinary research group studying the impacts of tobacco advertising.
The effects of nicotine analogs on humans haven’t been extensively researched, but animal studies have found that one of the most popular variants, 6-methyl-nicotine, could be more potent and addictive than regular nicotine. Vapes containing nicotine analogs may also expose users to other mysterious chemicals. One 2024 study found that some manufacturers were selling nicotine analog vapes that contained additional unlabeled ingredients, including artificial sweeteners and cooling agents with unknown inhalation risks. “What’s on the label has very little relationship to what’s in it,” says Jackler.
Researchers first documented the emergence of vapes containing 6-methyl-nicotine and other nicotine analogs in the US market about three years ago. But the chemical compounds themselves are nothing new—tobacco companies have been researching them since as far back as the 1970s.
A 2005 review of millions of previously secret internal industry documents found Big Tobacco had long explored nicotine-like compounds as replacements for nicotine, in part because they believed they could help circumvent potential regulation.
But US tobacco companies never wound up marketing mainstream products containing any of these nicotine-like chemicals. Instead, they surfaced decades later in disposable vapes made by Chinese manufacturers, which have proven extremely adept at finding new ways to keep selling their wares in the United States.
Chinese vape companies “are extremely creative, they are extremely smart,” says Rich Marianos, a former official with the US Bureau of Alcohol, Tobacco, Firearms and Explosives who is now executive director of the Tobacco Law Enforcement Network, an advocacy group that does not publicly disclose its funding.
“The Chinese have been flooding the American market with illegal vape products designed to target children for years. These fake nicotine products appear to be a new scheme to trick American consumers into putting illicit, potentially dangerous chemicals into their body,” Tim Sheehy, a Republican senator from Montana, said in a statement to WIRED. “The Trump Administration has made cracking down on these unregulated Chinese products a priority, and I hope they continue to sound the alarm on this problem.”
But Jeckler notes that the Trump administration has effectively dismantled the Centers for Disease Control and Prevention office responsible for the agency’s tobacco prevention programs and significantly reduced the size of the FDA’s Center for Tobacco Products. That means much of the effort to regulate nicotine analogs has fallen to the states. Jackler says he’s aware of four states—California, Nebraska, Indiana, and Tennessee—that have expanded their definitions of tobacco products to explicitly include nicotine-like chemicals. But there is still no comprehensive federal law that treats these substances the same way as tobacco-derived or synthetic nicotine.
Community-led open source project hosting site Codeberg has formally announced that projects whose code is largely or fully machine-generated through LLMs and other ‘AI’ tools will no longer be welcome. This follows on the heels of a similar ban on cryptocurrency-related projects.
The community vote was on two issues, the first being the notion that scraping of project code for the use in LLMs should be forbidden, which was a motion that easily passed. The second motion was on disallowing projects whose code was substantially generated by LLMs like Claude, OpenAI Codex, and similar. This motion passed with 358 in favor versus 144 against.
In the earlier linked blog post the reasoning behind especially this second issue is expanded upon, covering not only ‘license whitewashing’, but also the direct and indirect hardware costs, with the expanding ‘AI’ datacenter hyperscaling having massively increased hardware costs for Codeberg over the past years, as the costs have been largely externalized.
Also covered is also the aspect of these LLM-based tools destroying the OSS community, which is something that is backed up by recent studies. Even if we ignore that such LLM-tools are destroying the cognitive abilities of its users, there’s an argument to be made that if LLM-scraping is disallowed, then it’s consistent to also not allow LLM-generated code.
In the Terms of Use you can see these changes, both for LLMs and for cryptocurrency projects.
Thanks to [mk-fg] for the tip.
Security
Stop the spread (of online recruiting and propaganda)
Europol and its partners’ investigators flagged 4,340 “horrific” URLs for removal over several weeks in June and July as part of an ongoing crackdown on The Com (short for community), a loosely knit network of online groups whose young members participate in a range of illicit activities. These range from hacking, swatting, and digital extortion to real-life shootings, stabbings, and other physical violence.
Europol’s recent Referral Action Days, aimed at disrupting The Com’s online ecosystem and stopping the spread of its propaganda, is part of the larger Project Compass operation. Project Compass began in 2025, and its partner law-enforcement agencies span the US, UK, and EU member states.
Investigators from Belgium, Finland, Hungary, Ireland, Luxembourg, the Netherlands, Portugal, Spain, and Sweden participated in the Referral Action Days during June and July.
Various groups linked to The Com post content online to recruit members and groom young victims using social media, gaming platforms, and messaging apps.
“The more extreme and harmful the content a user or group can produce or extort, the higher their status within the online community,” according to Europol. “These acts are often livestreamed on social media platforms, where online bystanders cheer them on, and later saved and disseminated.”
The URLs flagged for removal during this latest push to disrupt The Com’s recruiting activities included “violent videos and images depicting self-harm, suicide, child sexual abuse material (CSAM), animal cruelty, and violent attacks,” the international cops said.
This, the European cops say, includes so-called blood walls, which are paintings made with blood that display the extorter’s alias and group affiliation, and cut-signs, where the victims are forced to carve the extorter’s name into their bodies.
It also includes videos of street attacks and arson, plus manuals on how to commit these violent attacks, along with instructions on grooming and extorting vulnerable minors, and conducting doxxing and swatting.
Europol says its European Counter Terrorism Centre has received “hundreds” of requests from member states and others over the past two years to help investigate crimes linked to The Com. It describes the online network as a “global threat, particularly concerning minors as both victims and perpetrators.”
Last year, both the UK and US issued similar warnings about a subset of The Com that recruits children and teens for contract shootings, kidnappings, and other real-life violent crimes. In July 2025, the FBI said that In Real Life (IRL) Com had become increasingly brazen in its swat-for-hire and violence-as-a-service solicitations.
The FBI’s alert followed a similar notice from the UK National Crime Agency about a “deeply concerning” trend of The Com recruiting teenage boys to commit a range of criminal acts, from cyber fraud and ransomware to child sexual abuse.®
Will Elon Musk actually face legal consequences for illegally paying voters in an attempt to interfere in an election? We’re at least one step closer to finding out.
Back during the 2024 Presidential election, he got away with offering $1 million to a “random” (not actually random) voter who would sign his petition in an effort to get out the vote for Donald Trump in Pennsylvania.
He then tried to run back that strategy a few months later during a special election for judges in Wisconsin. It didn’t work out so well for him. It flopped so badly that Musk said he would no longer get so invested in elections any more. Who knows if he’ll keep that promise. Probably not.
And now the Wisconsin Elections Commission has decided that the whole “we’ll pay you to sign this petition” nonsense likely violates the law.
The motion approved by the elections commission said it found probable cause that Musk broke Wisconsin law by making a social media post offering $1 million to people who voted in the Supreme Court election “in order to induce them to vote in that election.”
[….]
Three Wisconsin voters received checks from Musk, including two who got them in person at the Green Bay rally. Two weeks before the election, Musk’s political action committee, America PAC, offered $100 to voters who signed a petition in opposition to “activist judges,” or referred someone to sign it.
And, before you rush out to claim that it was clearly a partisan/biased decision, turns out it really wasn’t. The commission is equally split between Republicans and Democrats:
The Wisconsin Elections Commission, consisting of three Democrats and three Republicans, voted 5-1 in closed session on Thursday to refer the complaints to the district attorney, the commission’s spokesperson, Emilee Miklas, said.
Brown County District Attorney David Lasee, a Republican, did not immediately return a message seeking comment Tuesday.
Of course, it is an open question as to whether or not Lasee will actually do anything about this. Some groups are pushing him to act on the referral. And they called out that Lasee had put a stop to other “get out the vote” campaigns, warning them that their actions (offering food, water, and rides to the polls) could violate election bribery laws. Here’s Kristin Lyerly from the Committee to Protect Healthcare:
“The commission did their job. Now it’s time for District Attorney Lasee to do his,” she added. “This isn’t about political outcomes. It’s about whether the law applies to everyone or just everyone except the richest man in the world.”
Others argued the law should be applied fairly, pointing to an April 2024 incident where Lasee warned local get out the vote organizers that an event they planned risked violating state election bribery law.
The event offered food, water and rides to the polls — as well as cash prizes for social media influencers who got the most people out to vote. The groups canceled the effort after receiving a letter from Lasee questioning its legality.
“When the district attorney’s office believed local organizations may have crossed a legal line, it acted quickly,” said community organizer Christina Thor. “Our community deserves to see that same standard applied today. The same urgency, the same scrutiny, and the same commitment to applying that law fairly.”
So, here we have a very clear opportunity to see whether the law is applied equally to Musk, or whether yet another law enforcement official decides that there can be no consequences for rampant law-breaking.
Should this move forward, I guarantee you that Musk and his hordes of cult-like fans will insist that this prosecution is political. But, again, that seems like bullshit. At some point, those who break the law with impunity have to be held accountable for their actions.
One of the most frustrating things about the last decade has been watching the rich and powerful face zero consequences for doing many, many terrible things — a pattern that breeds exactly the kind of toxic cynicism that lets everyone else assume that the rules don’t apply to themselves either. This is a chance to take a stand and prove that wrong. Those actions should have consequences, and screaming “political prosecution” when it’s clearly not should never be a literal get out of jail free card.
Filed Under: bribery, consequences, david lasee, elections, elon musk, wisconsin
Ctrl-Alt-Speech is a weekly podcast about the latest news in online speech, from Mike Masnick and Everything in Moderation‘s Ben Whitelaw.
Subscribe now on Apple Podcasts, Overcast, Spotify, Pocket Casts, YouTube, or your podcast app of choice — or go straight to the RSS feed. To get extended episodes with additional coverage, support us on Patreon.
Our third annual Live at TrustCon recording of Ctrl-Alt-Speech! Ben was back this year! Mike and Ben were joined live on stage with Kat Duffy, senior fellow for digital and cyberspace policy at the Council on Foreign Relations and Zoe Darme, Director for Trust, Knowledge and Information Products at Google. They cover:
Special thanks to the Trust & Safety Professionals Association (TSPA) and all the work they do each year in putting on TrustCon, and for allowing us to host the live podcast as the closing session again this year.
Filed Under: ai, artificial intelligence, content moderation, france, trust and safety, trustcon
Companies: hugging face, openai, xai
Unlike many budding engineers, K.J. Ray Liu wasn’t inspired to enter the field by tinkering with electronics or following in the footsteps of a family member. Growing up in Taichung, Taiwan, he answered his government’s call for students to become electrical engineers to help manufacture semiconductors in the 1970s, when the country’s economy was struggling.
“Students who were good in math, science, and physics all wanted to be an electrical engineer because that was the top priority of the government,” Liu says. “That’s how I got into engineering. Now Taiwan is a world leader in semiconductors.”
K.J. Ray Liu
Occupation
Retired professor of information technology and a digital signal processing researcher at the University of Maryland in College Park
Member grade
Fellow
Alma maters
National Taiwan University; University of Michigan; UCLA
But by the time he graduated from university in 1983, semiconductor facilities were still under construction, so there were no jobs available.
Instead, he went on to have a successful career as an educator and entrepreneur in the United States.
For 31 years, he was a professor of information technology and a digital signal processing researcher at the University of Maryland in College Park until he retired in 2021.
Liu was the chairman, CEO, and CTO of Origin Wireless, a startup he founded in Rockville, Md. Origin, which was acquired by ADT in February, pioneers artificial intelligence for wireless sensing and indoor tracking.
Liu, an IEEE Fellow, is an active IEEE volunteer who served as the organization’s president in 2022.
IEEE honored him with this year’s Haraden Pratt Award for “transformative and impactful leadership.”
Liu is credited with increasing the diversity of nominees for IEEE’s Fellow program, which is the highest level of membership. He also led the effort to realign the organization’s regions geographically to ensure more equitable global representation on the IEEE Board of Directors.
He received the Pratt honor on 24 April during a ceremony in New York City. The IEEE Foundation sponsored the Board-level award.
“More than anything, I share the honor with the volunteers and staff I had the privilege to work alongside,” he says. “Our hard work is fueled by our shared devotion to this professional home we love and care for so much.”
In the 1970s, Taiwan’s policymakers decided to improve the country’s economy by pivoting from making products such as shoes and umbrellas to manufacturing electronics.
The industry got its start in 1976 when RCA, a major electronics company at the time, agreed to transfer licensed semiconductor processes to Taiwan’s Industrial Technology Research Institute. ITRI spun off several semiconductor-related companies including the Taiwan Semiconductor Manufacturing Co. TSMC, launched in 1987, is the world’s largest dedicated semiconductor foundry.
Liu graduated in 1983 with a bachelor’s degree in electrical engineering from National Taiwan University, in Taipei. At the time, there were no semiconductor companies to work for, he says.
“Nowadays, many of the country’s university graduates go right to TSMC to get a job,” he says. “But back then, there was no real job market.
“Most of my classmates—including me—came to the U.S. for graduate studies. Many of us stayed and, over the last three to four decades, contributed to the development of electronic computer communication technology in the U.S.”
Liu left Taiwan after a two-year mandatory stint in the Republic of China Armed Forces to attend the University of Michigan, in Ann Arbor, where in 1987 he earned a master’s degree in electrical engineering.
“If I can help make IEEE a better professional home for future members, that is something that I can pay back to IEEE.”
He went on to earn a Ph.D. in electrical, electronics, and communications engineering in 1990 from the University of California, Los Angeles. His interest in digital signal processing and very-large-scale integration (VLSI) was sparked while at UCLA. Today VLSI powers all modern electronics.
“When I was a graduate student, there was no wireless communication. Everybody had a landline,” he explains.
VLSI was an important, active research field at the time.
“My research interest was digital signal processing,” he says. “One day I saw a book on VLSI signal processing on my professor’s bookshelf. I immediately thought to myself: That is the field I want to pursue.
“VLSI is one lane, digital signal processing is the other, and there is a bridge linking the two. I was interested in both areas, so I did my Ph.D. thesis on VLSI signal processing.”
After graduating, Liu joined the University of Maryland, where he is credited with establishing its signal processing research program.
In addition to teaching, he conducted research on a broad range of signal processing and communication aspects. The topics include bioinformatics, game theory, signal processing algorithms and architectures, and wireless sensing and communications.
He has authored more than 10 books and 900 papers, and he holds 250 patents. You can find his research papers in the IEEE Xplore Digital Library.
Liu is considered to be a pioneer in the field of ambient sensing. The technology gathers environmental data and is used in security systems and health-monitoring devices.
He came up with the idea, he says, while working on a project in 2009 for the U.S. Navy. He was trying to solve a problem the Navy was having with the wireless communication systems used in its submarines. Because submarines are made of metal, radio waves were unable to penetrate the vessels’ compartments and instead bounced around, creating interference, he says.
His solution was to use a relatively unknown concept in physics: time-reversal signal processing. The technique captures waves, such as sound and electromagnetic signals, and sends them back through the same medium in reverse, flipping the signal from last-in to first-out, and re-emits them.
“By using time-reversal feed, we could increase the signal-to-noise ratio by four times,” he says. “That improved performance dramatically.”
He became fascinated by the physics of time-reversal signal processing, he says, and wondered how he could apply the concept to serve society. After three years of research, he came up with the idea of using wireless sensing applications through ambient radio waves from surrounding Wi-Fi networks.
“I learned to turn Wi-Fi networks into sensing networks that decipher our activities,” he says. “We could know everything happening around us—our motions, breathing, heartbeat, even fall detection—without any wearables.”
Through the university’s incubator, which encourages faculty to work on projects with an impact on society, he launched Origin in 2013. The company’s Wi-FI and AI sensing technology enables accurate indoor tracking, motion detection, and health monitoring without the need for wearable devices or cameras. Its products, including its remote patient monitoring, received three innovation awards at the 2020 and 2021 Consumer Electronics shows, including one for best innovation.
Liu joined IEEE in 1986 as a graduate student to access its research papers, he says.
“If you didn’t join an IEEE society, you didn’t get its journal—which meant that you couldn’t read the most up-to-date research papers,” he says. “So, I joined the IEEE Signal Processing Society. When I attended my first signal processing conference, I knew I had found a professional home. I met many like-minded people, and together, we built a professional home for our members worldwide.”
He became an active volunteer, holding top leadership positions including 2012–2013 president of the Signal Processing Society and 2016–2017 director of IEEE Division IX, which covers societies focused on signal processing, data transmission, navigation, and transportation. In 2019 he was vice president of the Technical Activities Board.
In 2022 he served as IEEE president and CEO. The three accomplishments during his term he says he is most proud of are increasing the prize money for the IEEE Medal of Honor, overseeing the realignment of IEEE regions, and establishing greater financial transparency.
The reason for increasing the prize for IEEE’s highest award—from US $50,000 to $2 million—in 2025, he says, was to underscore the importance of the technologies the IEEE community develops. Those innovations include semiconductors, the Internet, and the GPU. The money for the Medal of Honor now exceeds that of the Nobel Prize, which carries an award of roughly $1 million.
“We need the whole world to understand the IEEE community has made the most impact on society in the last century,” Liu says. “Nevertheless, we did not receive the attention and respect we deserved, so we needed to help ourselves. We want the whole world to know what our contributions are.”
His next achievement was realigning IEEE’s regions. During the past several years, membership in Region 10, which covers countries in Asia and the Pacific, has grown from 10 percent of total membership to nearly 40 percent, he says. It is the largest and most populous of IEEE’s geographic areas, but its members were not equitably represented on the Board of Directors. Each region had one representative on the Board.
“The region has 40 percent of the members but only makes up 10 percent of the Board,” Liu says. “That didn’t make sense to a lot of us.”
The IEEE Board in 2022 approved region realignment. The total number of regions remains at 10, but their organization is changing. Effective 1 January 2028, the six U.S.-based regions will be consolidated into five, and Region 10 will be split into two. IEEE will no longer use the Region 1 designation. The new Region 2 will represent the Northeastern and Eastern U.S. Region 10 will cover North Asia, and the new Region 11 will represent South Asia and the Pacific.
Liu also succeeded in leading a movement that persuaded the IEEE Board to invest in a better financial reporting system to have a clearer understanding of the organization’s finances. A more modern system now tracks banking transactions, contracts, expense reports, and other spending.
“Now we know exactly where the money comes from and where it is spent,” he says, “so that we can make more informed decisions.
“If I can help make IEEE a better professional home for future members, that is something that I can pay back to IEEE,” he adds. “I truly appreciate what IEEE offered me. From student to professor to an established leader, at every stage, it offered me different opportunities to grow. That is why I worked very hard when I was president to make sure everybody realizes it is a professional home for our entire career.”
From Your Site Articles
Related Articles Around the Web
Nvidia, Microsoft, Meta, Palantir, and more than 20 other tech companies signed an open letter urging policymakers not to impose “premature restrictions” on open-weight AI models, warning that broad limits could “stifle competition or drive innovation overseas.” CNBC reports: They wrote that open-weight models strengthen competition and ensure that the benefits of the technology are “broadly shared rather than concentrated in a few hands.” “Relying solely on closed models is not inherently safe: they can be breached, misused, or fail in ways that outsiders cannot detect,” the letter said. “And concentrating advanced AI capabilities behind a small number of closed models compounds that risk.”
Elon Musk, who runs an AI business under his rocket company SpaceX, also applified the letter on social media, writing that it has his “full support” in a post on X. SpaceX did not officially sign the letter. Greg Brockman, OpenAI’s president, said Thursday that the company believes in broad access, and that he has not been involved in any conversations with the Trump administration about potentially banning Chinese open-weight models in the U.S.
“I think that, that fundamentally, AI and AI usage is something that is actually very important to democratize,” Brockman told reporters during a briefing in New York City. “And so, for me, at a sort of deep level, I think that having more models, more usage, that is a good thing.” OpenAI CEO Sam Altman addressed the letter in a post on X on Friday, writing that he wants the U.S. to win with both open-weight and proprietary models, and that he is “glad to see this.”
[…] In the letter on Friday, the U.S. tech companies said that concerns about unlawful distillation should be addressed through “targeted legal and commercial frameworks” instead of with “sweeping restrictions on techniques that play an important role in AI innovation.” “Our AI leadership will be judged not by one frontier AI model, but by whether the United States builds a strong, open ecosystem that diffuses into every sector,” the letter said. “This is essential for creating opportunities for innovation and prosperity across the country.” The letter follows a separate appeal signed by nearly 200 Silicon Valley companies, including Proton and Y Combinator, warning that restricting U.S. access to Chinese open-weight AI models could cripple the next generation of American startups. “American leadership requires two things: world-leading American open-weight models and continued access for U.S. builders to open models already available worldwide,” the startup founders wrote. Instead of broad prohibitions, they argue the government should adopt targeted safeguards.
Of course, these signees “have an obvious economic stake in seeing open AI models flourish,” notes TechCrunch. “Companies like Nvidia, Microsoft Azure, and other infrastructure providers have a vested interest in pushing for commoditized models: If models are interchangeable, people will buy more GPUs, rent more cloud capacity, and build more applications.”
Ripple Payments Joins MiCA With 14 Firms, Does It Mean Anything For XRP?
The House | The City of London can help the new chancellor deliver growth in every postcode
Weekend Open Thread: Brooks Brothers
Democrats look to World Cup watch parties to register thousands of voters
Grayscale Files For Worldcoin ETF, WLD Registers Sharp Rise
Sail Virtually Aboard The “Itanic” With IA-64 Emulator
Unregistered fitter used Gas Safe logo on business flyers
Turtle Beach Command Series KB7 review: a nifty screen-equipped gaming keyboard
Big Money Is Entering XRP
New Jersey voter registration controversy explained: How 6,600 noncitizens got on the rolls, and what happens next
Kaspersky exposes OkoBot’s 20-module crypto wallet attack
Johnny Depp’s R-Rated Gothic Cult Classic Gets New Release Ahead of Sydney Sweeney Remake
Durham County Council to send out electoral registration emails
Ethics, other provisions in crypto Clarity Act to be further discussed
MiCA Licensing Faces Delays as ESMA Adds 14 CASPs to Register
Chip Stocks Enter Bear Market After Moonshot Ai Unveils Kimi K3 Model
Shanghai science forum photos show China’s AI and robotics advances in rivalry with US
Watch Flock Safety CEO Garrett Langley discuss the future of surveillance at TechCrunch Disrupt 2026
Subway Sandwich Computers Get a Second Life as Gaming Machines
The 35 Best Board Games for Family Game Night
You must be logged in to post a comment Login