We’re down to the final two days before TechCrunch Sessions: AI unites the broader AI community at UC Berkeley’s Zellerbach Hall on Thursday, June 5! Expect a packed agenda with top speakers, expert panels, top-tier networking, and Side Events from o

We’re down to the final two days before TechCrunch Sessions: AI unites the broader AI community at UC Berkeley’s Zellerbach Hall on Thursday, June 5! Expect a packed agenda with top speakers, expert panels, top-tier networking, and Side Events from o

Want to connect with 1,000+ founders, investors, and tech leaders gathering in Boston for TechCrunch All Stage on July 15? Apply by June 10 to host a Side Event during “TC All Stage Week” (July 13–19) — and put your brand front and center. Whether yo

Want to connect with 1,000+ founders, investors, and tech leaders gathering in Boston for TechCrunch All Stage on July 15? Apply by June 10 to host a Side Event during “TC All Stage Week” (July 13–19) — and put your brand front and center. Whether yo

In just 2 days, TechCrunch Sessions: AI takes over UC Berkeley’s Zellerbach Hall for a one-day summit built for the minds shaping AI. Expect hard questions, bold ideas, and real insight—designed to challenge your assumptions, sharpen your competitive

Think you know which AI assistant was the first to use natural language processing for everyday tasks? Or which researcher coined the term “deep learning,” revolutionizing AI? If so, this is your chance to win two TechCrunch Sessions: AI

The countdown continues, and only a few tables remain if you want to exhibit at TechCrunch All Stage, happening July 15 in Boston, so now’s the moment to act. Only 4 days remain to book your table and until space is almost completely gone.  Why

If you’ve ever been locked out of your work computer, you know the urgent need to reach IT support. Unfortunately, help desk staff are often busy assisting others, which can mean a significant delay before you regain access. Andrei Serban realized the critical importance of IT’s manual work when he was a product lead on Rippling’s apps and integrations team. Serban, who joined Rippling after it acquired his coding security startup Fuzzbuzz in 2023, saw an opportunity to automate many of the help desk’s basic tasks with AI, from resetting passwords, to granting access to apps like Figma and Miro, to routine troubleshooting. Serban couldn’t wait to get started on his vision. He left Rippling last year to found Console, a startup on a mission to help IT teams reduce mundane, repetitive tasks, thereby freeing up time for help desk professionals to work on more strategic and sophisticated projects. While trying to automate help desk functions isn’t new, Console differentiates itself from existing competitors — including Moveworks, which was acquired by ServiceNow in March for $2.85 billion — by forgoing long, complex installation processes. Thanks to its easy integration with Slack, Console’s AI assistant can be made available to everyone in the company in just a few weeks. “We’re able to get there so fast because we don’t require you to replace your help desk,” he said. Console sees itself as an AI co-worker that up-levels existing help desk professionals. Serban even suggested that as companies digitize more of their operations, the IT function will become increasingly vital. Employees message Console on Slack and the startup’s AI agent quickly responds to requests because it knows everything about the user, from their specific laptop model to the applications they have permission to use. Console’s AI can resolve over 50% of the tasks on its own, and it will loop in someone from IT for more complex issues, Serban said. Techcrunch event Save now through June 4 for TechCrunch Sessions: AI Save $300 on your ticket to TC Sessions: AI—and get 50% off a second. Hear from leaders at OpenAI, Anthropic, Khosla Ventures, and more during a full day of expert insights, hands-on workshops, and high-impact networking. These low-rate deals disappear when the doors open on June 5. 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 The fast install time attracted customers, including Scale AI, Flock Safety, and Calendly. These customer wins have led Console to secure $6.2 million in seed funding from Thrive Capital. Vince Hankes, a partner at Thrive, said that the firm, which has backed many of the leading AI companies, including OpenAI, Cursor, and Scale AI, has had a thesis about artificial intelligence’s potential to assist with IT tasks since ChatGPT was first released in the fall of 2022. While Hankes acknowledged that Console’s fast integration might make it seem easily replaceable, he believes its AI technology will improve so quickly with user adoption that it will become an indispensable, deeply integrated system essential to everyone at the customer’s company. Console’s goal is to eventually start supporting other functions, including answering employee requests about HR, finance, and legal. “We want Console to be an employee’s first call for help,” Serban said.  Topics

IBM and Roche are teaming up on an AI solution to a challenge faced by millions worldwide: the relentless daily grind of diabetes management. Their new brainchild, the Accu-Chek SmartGuide Predict app, provides AI-powered glucose forecasting capabilities to users. The app doesn’t just track where your glucose levels are—it tells you where they’re heading. Imagine having a weather forecast, but for your blood sugar. That’s essentially what IBM and Roche are creating.AI-powered diabetes managementThe app works alongside Roche’s continuous glucose monitoring sensor, crunching the numbers in real-time to offer predictive insights that can help users stay ahead of potentially dangerous blood sugar swings.What caught my eye were the three standout features that address very specific worries diabetics face. The “Glucose Predict” function visualises where your glucose might be heading over the next two hours—giving you that crucial window to make adjustments before things go south.For those who live with the anxiety of hypoglycaemia (when blood sugar plummets to dangerous levels), the “Low Glucose Predict” feature acts like an early warning system, flagging potential lows up to half an hour before they might occur. That’s enough time to take corrective action.Perhaps most reassuring is the “Night Low Predict” feature, which estimates your risk of overnight hypoglycaemia—often the most frightening prospect for diabetes patients. Before tucking in for the night, the AI-powered diabetes management app gives you a heads-up about whether you might need that bedtime snack. This feature should bring peace of mind to countless households.“By harnessing the power of AI-enabled predictive technology, Roche’s Accu-Chek SmartGuide Predict App can help empower people with diabetes to take proactive measures to manage their disease,” says Moritz Hartmann, Head of Roche Information Solutions.How AI is speeding up diabetes researchIt’s not just patients benefiting from this partnership. The companies have developed a rather clever research tool using IBM’s watsonx AI platform that’s transforming how clinical study data gets analysed.Anyone who’s been involved in clinical research knows the mind-numbing tedium of manual data analysis. IBM and Roche’s tool does the heavy lifting—digitising, translating, and categorising all that anonymised clinical data, then connecting the dots between glucose monitoring data and participants’ daily activities.The result? Researchers can spot meaningful patterns and correlations in a fraction of the time it would normally take. This behind-the-scenes innovation might do more to advance diabetes care and management in the long run than the app itself.What makes this collaboration particularly interesting is how it brings together two different worlds. You’ve got IBM’s computing prowess and AI know-how pairing up with Roche’s decades of healthcare and diabetes expertise.”Our long-standing partnership with IBM underscores the potential of cross-industry innovation in addressing unmet healthcare needs and bringing significant advancements to patients faster,” says Hartmann.“Using cutting-edge technology such as AI and machine learning helps us to accelerate time to market and to improve therapy outcomes at the same time.”Christian Keller, General Manager of IBM Switzerland, added: “The collaboration with Roche underlines the potential of AI when it’s implemented with a clear goal—assisting patients in managing their diabetes.“With our technology and consulting expertise we can offer a trusted, customised, and secure technical environment that is essential to enable innovation in healthcare.”What this means for the future of healthcare techHaving covered healthcare tech for years, I’ve seen plenty of promising innovations fizzle out. However, this IBM-Roche partnership feels promising—perhaps because it’s addressing such a specific, well-defined problem with a thoughtful, targeted application of AI.For the estimated 590 million people (or 1 in 9 of the adult population) worldwide living with diabetes, the shift from reactive to predictive management could be gamechanging. It’s not about replacing human judgment, but enhancing it with timely, actionable insights.The app’s currently only available in Switzerland, which seems a sensible approach—test, refine, and perfect before wider deployment. Healthcare professionals will be keeping tabs on this Swiss rollout to see if it delivers on its promise.If successful, this collaboration could serve as a blueprint for how tech giants and pharma companies might work together on other chronic conditions. Imagine similar predictive approaches for heart disease, asthma, or Parkinson’s.For now, though, the focus is squarely on using AI to improve diabetes management and helping people sleep a little easier at night—quite literally, in the case of that clever nocturnal prediction feature. And honestly, that’s a worthwhile enough goal on its own.(Photo by Alexander Grey)Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is co-located with other leading events including Intelligent Automation Conference, BlockX, Digital Transformation Week, and Cyber Security & Cloud Expo.Explore other upcoming enterprise technology events and webinars powered by TechForge here.

In context: TSMC has steadily raised the prices of its most advanced semiconductor process nodes over the past several years – so much so that one analysis suggests the cost per transistor hasn't decreased in over a decade. Further price hikes, driven by tariffs and rising development costs, are reinforcing the notion that Moore's Law is truly dead. The Commercial Times reports that TSMC's upcoming N2 2nm semiconductors will cost $30,000 per wafer, a roughly 66% increase over the company's 3nm chips. Future nodes are expected to be even more expensive and likely reserved for the largest manufacturers. TSMC has justified these price increases by citing the massive cost of building 2nm fabrication plants, which can reach up to $725 million. According to United Daily News, major players such as Apple, AMD, Qualcomm, Broadcom, and Nvidia are expected to place orders before the end of the year despite the higher prices, potentially bringing TSMC's 2nm Arizona fab to full capacity. Also see: How profitable are TSMC's nodes: crunching the numbers Unsurprisingly, Apple is getting first dibs. The A20 processor in next year's iPhone 18 Pro is expected to be the first chip based on TSMC's N2 process. Intel's Nova Lake processors, targeting desktops and possibly high-end laptops, are also slated to use N2 and are expected to launch next year. Earlier reports indicated that yield rates for TSMC's 2nm process reached 60% last year and have since improved. New data suggests that 256Mb SRAM yield rates now exceed 90%. Trial production is likely already underway, with mass production scheduled to begin later this year. // Related Stories With tape-outs for 2nm-based designs surpassing previous nodes at the same development stage, TSMC aims to produce tens of thousands of wafers by the end of 2025. TSMC also plans to follow N2 with N2P and N2X in the second half of next year. N2P is expected to offer an 18% performance boost over N3E at the same power level and 36% greater energy efficiency at the same speed, along with significantly higher logic density. N2X, slated for mass production in 2027, will increase maximum clock frequencies by 10%. As semiconductor geometries continue to shrink, power leakage becomes a major concern. TSMC's 2nm nodes will address this issue with gate-all-around (GAA) transistor architectures, enabling more precise control of electrical currents. Beyond 2nm lies the Angstrom era, where TSMC will implement backside power delivery to further enhance performance. Future process nodes like A16 (1.6nm) and A14 (1.4nm) could cost up to $45,000 per wafer. Meanwhile, Intel is aiming to outpace TSMC's roadmap. The company recently began risk production of its A18 node, which also features gate-all-around and backside power delivery. These chips are expected to debut later this year in Intel's upcoming laptop CPUs, codenamed Panther Lake.