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Comparably announces 2026 Best Happiness, Work Life Balance and Perks & Benefits awards. 6:30 am, PT, September 28, 2026 Adobe, Elsevier, Calix, Paycom and Teleperformance lead 2026 rankings based on anonymous employee feedback about workplace experience VANCOUVER, Wash.-(BUSINESS WIRE)-September 28, 2026- Comparably, a ZoomInfo company and leading employee review platform for workplace culture and compensation, announced the winners of its 2026 Best Happiness, Best Work Life Balance and Best Perks & Benefits awards. The awards recognize organizations that employees rate highest across key aspects of the workplace experience, including overall happiness, work life balance, compensation, benefits and workplace culture. Calix claimed the No. 1 ranking for Best Happiness among large companies in 2026, while Elsevier earned the top spot for Best Work Life Balance. Adobe ranked No. 1 for Best Perks & Benefits. Several companies appeared across multiple lists, including Teleperformance, Elsevier, Calix, RingCentral, Paycom, ADP and NETSCOUT, reflecting strong employee sentiment across multiple dimensions of the workplace experience. With more than 20 million ratings across 70,000 companies, Comparably's annual rankings provide insights into workplace satisfaction and employee experience across industries and company sizes. The awards are based on anonymous employee feedback provided on Comparably.com over the past 12 months. "Employees are looking at the full experience when they decide where they want to work and where they want to stay," said Jon Bischke, general manager of ZoomInfo Talent Solutions and Comparably. "Compensation matters, but so do the things employees experience every day, from their work life balance to the benefits they receive and how they feel about coming to work. These awards recognize the companies earning strong marks directly from their employees." 2026 Best Happiness, Large Companies * Calix * RingCentral * Alkami Technology * Teleperformance * Elsevier * NETSCOUT * Esri * Paycom * AEVEX Aerospace * ADP 2026 Best Work Life Balance, Large Companies * Elsevier * Teleperformance * RingCentral * Trimble * Workday * Newfold Digital * Calix * ADP * Tekwissen * NETSCOUT 2026 Best Perks & Benefits, Large Companies * Adobe * Paycom * Teleperformance * Elsevier * Calix * Waste Connections * Apple * DriveTime | Bridgecrest | SilverRock * Appian * Northside Hospital About Comparably Comparably, a ZoomInfo company, is a leading platform for workplace culture insights and compensation data, empowering employees and job seekers to make more informed career decisions. With more than 20 million anonymous employee ratings across nearly 20 core culture metrics, covering 70,000 companies, Comparably provides one of the most comprehensive datasets on workplace culture, salaries and leadership. Trusted by employers and job seekers alike, Comparably is a resource for employer branding and workplace culture. For more information, visit Comparably.com.

Elsevier faces cyber security incident after users redirected to LAPSUS$ page. Elsevier confirmed suffering a security incident after thousands of students reported being redirected to a cyber criminal's leak page. Headquartered in Amsterdam, Elsevier is a leading global STM academic publisher and a key subsidiary of RELX Group. It provides digital access to thousands of journals and millions of research articles, supporting researchers worldwide. The company employs around 1,560 people across five UK sites, including a technology hub in London. Recently, several students reported being redirected to the LAPSUS$ leak site while attempting to access their homework and textbooks. "I know nothing about cyber security, I'm just a nursing student trying to log in to Elsevier to access my homework and textbooks. Every time I try to open the Elsevier website, I am met with this. Anyone know anything or have any explanation???," one student posted on social media. Affected properties included elsevier.com, evolve.elsevier.com and submit.elsevier.com. According to Cloudskope, an independent cybersecurity risk and technology advisory firm, the affected sites were directly issuing HTTP 302 redirects that remained active for at least 78 minutes. The redirects led to a pre-existing LAPSUS$ "Chapter II" extortion page rather than a page specifically created for Elsevier. Acknowledging the reports of a data security incident, in a statement shared with media, a Elsevier spokesperson said, "On September 21, Elsevier identified that visitors to select platforms were being redirected to a third-party page. Its cybersecurity team responded immediately, resolving the issue and restoring normal service. "Our investigation indicates that this was a narrowly scoped, limited-duration event involving the temporary redirection of traffic for certain web properties. There is no indication that core platforms, customer data, research content, or operational systems were compromised," the spokesperson added.

Elsevier, LG AI Research integrate chemistry-specific AI vision. September 23, 2026 By Bio-IT World Staff September 22, 2026 | Elsevier and LG AI Research last week announced image search capabilities to flag visual chemistry in patents and scientific literature. Chemistry-specific AI vision technology developed by LG AI Research is being used within Elsevier's content extraction and curation processes for Reaxys, Elsevier's discovery chemistry solution. Substance information from images in patent and journal content is captured far more quickly, accurately, and at far greater scale than was previously possible. Much of the substance and reaction information chemists rely on is communicated through figures, drawings, and reaction schemes rather than text. Making that chemistry discoverable at scale is a specialist AI challenge, the companies said. A model that misreads a bond may identify the wrong compound; one that misses a structure gives chemists an incomplete picture. This matters most in areas such as novelty searching, competitive intelligence and synthesis planning, and in inorganic and organometallic chemistry, where complex structures are harder to extract and index. The novel chemistry-specific AI vision technology from LG AI Research combines molecule detection, reaction-diagram parsing and optical chemical structure recognition (OCSR) in a single model. Called MolMole withing LG AI Research, the chemistry model is part of LG AI Research's Deep Document Understanding (DDU) technology. According to LG AI Research's published benchmarking, its tool outperforms alternatives at extracting chemistry from a full document page. "Until now, there have been benchmarks to evaluate the performance of single models such as Optical Chemical Structure Recognition (OCSR), but there has been no benchmark to evaluate the performance of extracting molecular structural formulas from full PDF documents in the context of real-world chemists," the LG team wrote. "We wanted to build a benchmark to measure the performance of our models to activate the AI ecosystem, and we will be releasing our own benchmark dataset later this year. We hope that our attempt will spark discussions and technical exchanges among researchers of DDU technologies." Elsevier Integration Elsevier's Reaxys combines connected chemistry data with precision AI and expert curation, so chemists, materials scientists and engineers have trusted evidence to identify and prioritize the most promising compounds; accelerate discovery with traceable, AI-powered insights; and design scalable, sustainable synthesis routes. Elsevier further validated the LG AI extraction pipelines against existing Reaxys benchmarks so accuracy is not traded for scale. The full pipeline has undergone a rigorous period of testing across Elsevier's data and workflow tools to ensure accuracy and quality before wider use. "Every hour a chemist spends deciphering figures or images to see what has already been made is an hour that could instead be spent on chemistry discovery," said Mirit Eldor, managing director, life sciences, Elsevier, in a press release. "Our partnership with LG AI Research gives that time back, lifting more chemistry out of the image and into Reaxys - curated, searchable and ready to act on. A structure buried in a figure should be evidence rather than a dead end." In the same press release, Hwayoung Edward Lee, lead of the AI Biz Transformation Unit at LG AI Research, added: "Through our integration with Elsevier, we are proving that advanced chemistry-specific AI can seamlessly convert raw visual data into structured knowledge for global researchers." The collaboration is ongoing and reaction extraction will be the next stage, extending image-based extraction beyond individual substances to broaden the reaction evidence available through Reaxys. Elsevier and LG AI Research are also exploring further customer challenges to tackle together, bringing together LG AI Research's specialist AI capabilities with Elsevier's chemistry content, scientific expertise and curation.