Latest updates from the AI industry
Adobe Inc. (NASDAQ:ADBE) is strengthening its position in agentic artificial intelligence as the company looks to expand its marketing intelligence and workf...
Adobe Inc. (NASDAQ:ADBE) is strengthening its position in agentic artificial intelligence as the company looks to expand its marketing intelligence and workflow automation capabilities. The company had recently acquired Rilo, an India-based AI workflow automation startup, in a deal involving the licensing of Rilo’s technology and the addition of its team. The transaction gives Adobe [...]
AI & Digital Bridge 2026 will be held in Astana on 1–3 October, bringing together technology companies, startups and investors.
ECCV 2026, the 19th European Conference on Computer Vision, opens September 8-12 in Malmo, Sweden with 2,883 accepted papers and a record 86 workshops. Yann LeCun keynotes on world models; Kristen Grauman on egocentric AI; Jamie Shotton on autonomous driving as embodied AI's first proving ground. Virtual access starts at $175.
OpenAI CEO says he was “very sad” when Apple sued the company, despite years of admiration for the iPhone maker Sam Altman’s long-standing admiration for Apple is facing an unusual test as the artificial intelligence company he leads finds itself locked in a legal battle with the technology giant he has admired since childhood. Altman, the CEO of OpenAI, said he was disappointed when he learned that Apple had filed a lawsuit against the ChatGPT maker, describing himself as an enthusiastic Apple supporter despite the escalating dispute between the companies. “I'm like a mega Apple fanboy, and I was very sad about that,” Altman told technology journalist Alex Heath during a recent interview. Apple filed the lawsuit in July, accusing OpenAI of engaging in a “coordinated pattern of misconduct at an institutional level” involving the alleged theft of Apple's confidential information. OpenAI has rejected the allegations, saying it has “no interest in other companies' trade secrets” and arguing that Apple's lawsuit does not reflect the company's reputation for paying close attention to detail. For Altman, the allegations were particularly troubling because of his personal history with Apple. “When I first heard about it, I was like, 'Man, this sounds egregious. Someone must have done something badly,'” Altman said. “We don't want any company's IP, and we certainly don't want people who are going to take a company's IP and bring it to us.” From partnership to courtroom confrontation The lawsuit represents a dramatic shift in the relationship between Apple and OpenAI. Just over two years ago, the companies were publicly presenting themselves as technology partners. In June 2024, Altman appeared in Cupertino to announce that Apple would integrate ChatGPT into a range of its products. The partnership gave Apple access to one of the world's best-known generative AI systems while giving OpenAI an enormous potential audience through Apple's ecosystem. The relationship has since become more complicated as OpenAI has expanded beyond its traditional role as an AI research company and increasingly moved into consumer technology — an area where Apple has long held enormous influence. The tension intensified after Altman and legendary former Apple designer Jony Ive revealed that they had been working together for years. OpenAI later agreed to acquire Ive's startup, IO, for nearly $6.5 billion, bringing the companies' relationship into direct competition with Apple's interests in consumer hardware and artificial intelligence. Apple has since sought a preliminary injunction as part of its legal case against OpenAI. Such an order could potentially interfere with or delay OpenAI's hardware ambitions. OpenAI, in response, accused Apple of seeking to delay its hardware plans because it feared that OpenAI's products could eventually compete with Apple's business. The dispute therefore extends beyond allegations concerning confidential information. It reflects a broader struggle over who will define the next generation of consumer technology as artificial intelligence becomes increasingly embedded in everyday devices. Altman's Apple connection goes back decades Despite the legal fight, Altman's admiration for Apple is hardly new. In 2008, he appeared at Apple's Worldwide Developer Conference to demonstrate Loopt, the location-based social networking company he co-founded. Altman later recalled that appearing on the Apple stage required the approval of then-CEO Steve Jobs. Looking back on the moment, Altman described it as “a career highlight” and said it was “the only time in business” he had experienced that much anxiety. His fascination with Apple dates back even further. Altman has said that his first computer was a Macintosh LC II, a machine he received while growing up. In a 2024 conversation with Microsoft co-founder Bill Gates, he said he still owned the computer and that it continued to work. His appreciation for Apple's products has also influenced how he has described his ambitions for consumer technology. When announcing his partnership with Ive, Altman said he hoped the project could bring “some of the delight, wonder and creative spirit that I first felt using an Apple Computer 30 years ago.” The admiration remained evident last year when Altman appeared alongside Ive and Laurene Powell Jobs. During an onstage interview in November, he called the iPhone “the crowning achievement of consumer products.” Those comments now carry an added layer of irony as OpenAI and Apple confront one another in court. A childhood gift that became an investment Altman's connection to Apple has even extended into his personal finances. Although he does not own a stake in OpenAI, much of his wealth has come from investments in technology companies including Stripe and Reddit. One of his earliest technology investments may have come from an unexpected source: his grandmother. In a 2016 interview with his brother Jack, the brothers recalled receiving equal shares in companies selected by their grandmother as birthday gifts. Jack received shares connected to Applebee's, while Sam received Apple. “I still have those Apple shares marked in my brokerage account as 'Grandma's birthday Apple shares,'” Altman said. “I'm going to keep them.” The comments offer a glimpse into a relationship with Apple that predates Altman's rise as one of the most influential figures in artificial intelligence. A changing technology landscape The legal dispute comes as OpenAI and Apple face a rapidly changing consumer technology market. For years, Apple's dominance rested heavily on devices such as the iPhone and the broader ecosystem surrounding them. OpenAI, meanwhile, built its influence through software and AI models, with ChatGPT becoming one of the most recognizable technology products in the world. The emergence of AI-powered hardware could bring those worlds into direct competition. Altman and Ive's collaboration has been closely watched because Ive was one of the central figures behind the design philosophy that helped turn Apple products into cultural icons. The prospect of OpenAI developing new consumer devices with Ive therefore represents more than another hardware venture. It could signal an attempt to build a new interface between humans and AI — potentially challenging the smartphone-centric model that Apple has spent decades refining. That prospect may help explain why the legal battle has become so consequential. For Altman, however, the dispute does not appear to have erased his affection for the company that helped inspire his career. “I’m like a mega Apple fanboy,” he said. For someone whose personal and professional history is intertwined with Apple, the courtroom confrontation may be one of the more complicated chapters yet in Altman's relationship with the technology giant.
Adobe has acquired Indian AI startup Rilo, less than a year after its launch, as the US software company expands its capabilities in AI-powered marketing automation. Adobe confirmed the acquisition but has not provided further details about the deal. The transaction is Adobe's second known acquisition of an Indian startup, following its purchase of Bengaluru-based generative AI video company Rephrase.ai in 2023. Rilo was founded in September 2025 by IIT Bombay batchmates Dhruv Jaglan and Georgi Boby. The startup developed an AI automation platform aimed at marketing and go-to-market teams. Its technology allowed users to describe workflows in plain English and have AI agents build and execute them across different tools. Rilo supported tasks including competitor intelligence, prospecting, content repurposing and distribution, sales-call analysis and campaign research. The platform also allowed customers to create their own customised AI workflows rather than relying only on pre-built automations. Jaglan said more than 10,000 users had built with Rilo within months of its launch. Announcing the acquisition on LinkedIn, he said Rilo was joining Adobe to help bring AI to Fortune 500 marketers. He said the company had started with the aim of expanding the use of AI among knowledge workers beyond engineers. Boby also confirmed the deal on LinkedIn, saying Rilo's mission from the beginning had been to expand the power of AI beyond engineers. “I'm incredibly proud of the team, what we've built and the pace we built it in,” he wrote, adding that the move to Adobe would allow the team to continue that mission at a larger scale. According to media reports, Rilo raised $1 million from investors including Peak XV Partners, DeVC and Day Zero Ventures at a valuation of $10 million. As part of the deal, Adobe is expected to integrate some of Rilo's intellectual property and bring its six-member team on board. Rilo's investors are also expected to receive an exit. Rahul Gupta, managing partner at Day Zero Ventures, described Rilo's workflow builder as being ahead of the curve and said it could be valuable to Adobe in enhancing customer experience and productivity. Rilo will shut down following the acquisition, and its platform will no longer be available to customers. Jaglan said the company will help users move their workflows during the transition. Adobe has not publicly detailed where Rilo's technology will be incorporated into its products. The acquisition comes as technology companies increasingly use AI agents to automate marketing workflows, from content production and distribution to customer engagement and campaign analysis.
Enterprise search used to mean typing a couple of words into a SharePoint box and hoping the right document happened to contain them. That era is basically over. The post 10 Enterprise Search Solutions Built With Generative AI In 2026 appeared first on Metaverse Post .
Lelapa AI is adding text-to-speech to its product line and preparing to take its language technology outside Africa, chief executive and co-founder Pelonomi Moiloa has told ITWeb TV — a move that would make the Johannesburg lab an exporter of AI methodology rather than a recipient of it. The company’s live API, Vulavula — “to [...]
Apple shares shocking evidence against former employee, intensifying its OpenAI trade secret lawsuit. This case highlights rising AI intellectual property
Adobe announced artificial intelligence partnership with Saudi Arabia’s Ministry of Communications and Information Technology (MCIT) and HUMAIN
Askeal takes the opposite approach to omniscient Gen AI: rather than pretending to know everything, it combines AI with community expertise. Vetted vendors, researchers, and practitioners contribute their intelligence and tools to help users conduct manual investigations. The startup, backed by a $1.1 million pre-seed round, is launching the tool with an international community of early testers and contributors. A SOC analyst can start the day to 50 alerts requiring manual review. An IT manager ... More → The post Askeal, the AI cybersecurity assistant that gives verifiable, expert-backed answers appeared first on Help Net Security .
Security vendors are rebuilding data loss prevention, or DLP, around AI context rather than pattern matching — and AI-powered DLP is giving the category’s most stubborn unsolved problem a second act. Decades of rule-based DLP tools left security teams buried in alerts they could not act on, and the arrival of generative AI has both [...] The post Data loss prevention gets a second act as AI rewrites an old security problem appeared first on SiliconANGLE .
The rivalry is creating a new geopolitical layer, but nobody wants a hegemon to decide their future
New Delhi [India], September 1: Saksham Keshri and Prakash Kumar, who previously built Relevel, Unacademy's job-focused venture, are back with a new startup, Clipwise. Relevel crossed 500,000 test takers and $8 million+ in annual revenue. Before that, the duo built game-streaming platform Rheo TV, which scaled to more than 10 million users, raised $2.8 million from Lightspeed and Peak XV's Surge programme, and was later acquired by Unacademy, delivering a 1.5x cash return to its last investors in under two years. With Clipwise, they are now tackling a much larger opportunity at the intersection of AI, social media and small businesses.
Clipto, a startup building the AI video memory layer, today announced $15 million in funding at a $250 million post money valuation from leading global investors including HSG (fmr. Sequoia China), GL Ventures, EnvisionX Capital, Palm Drive Capital, Hans Tung, Lu Zhang and 522 Ventures. The company also announced the launch of its native Windows and Android apps, along with a new Model Context Protocol (MCP) that allows AI agents to securely search users' private media libraries. - - The... Read the full story at https://www.webwire.com/ViewPressRel.asp?aId=359768
What really breaks when AI goes to production? CTO Dmytro Voroshylov explains model routing, memory, latency, evaluation, and infrastructure costs.
India’s Startup Policy Forum and Cars24 Labs Join Forces to Advance AI Innovation
The post UPSC CURRENT AFFAIRS – 27 JULY 2026 appeared first on INSIGHTS IAS - Simplifying UPSC IAS Exam Preparation .
Report credits deep technical expertise, research talent, and founders used to doing more with less. The post AI-native Canadian startups outpacing international peers, AWS finds first appeared on BetaKit .
A Samsung SDS survey of 1,750 workers found 38% use unapproved personal generative AI for work, exposing companies to growing "shadow AI" data leak risks.
Discover how LTM and Cognition's partnership leverages AI to enhance cybersecurity in financial services. Learn more about innovative solutions today!
Unlock unprecedented funding opportunities for Nigerian entrepreneurs in 2026 with initiatives like iDICE and NYIF, offering essential support for businesses.
People want to compare prices online the way they do on Amazon. So we created a new platform that pre-screens Vista air conditioning and HVAC companies using AI -- reviewing reputation across Google, Yelp, BBB, and social media -- then
Physician-led STARDOC Marketing offers hospital-specialized branding strategies using SEO, GEO, and AEO technologies, backed by a trade-area analysis system built on roughly 4 trillion data points. Its reach spans Naver, Google, YouTube, Instagram, and generative AI platforms like GPT and
Humanoids and humans are increasingly sharing factory floors, but one is made of metal and the other of flesh and bones, a mismatch that rarely ends ...
The current technological zeitgeist is defined by a handful of titans: Nvidia with its silicon supremacy, Palantir with its data orchestration platforms, and Anthropic with [...] The post A New Wave in AI: Bright Mountain Media and the Symbiotic Growth Story appeared first on Capitol Hill Times .
AI in Social Media Market is projected to grow from US$4.8 Bn in 2026 to US$42.5 Bn by 2033, driven by faster content creation, engagement, and marketing ROI
A new report describes the physical device that OpenAI is working on. Here’s what it could be.
Anthropic’s astonishing rise to an implied $1.2 trillion valuation on secondary markets has transformed the company from a leading artificial intelligence startup into one of the most anticipated public offerings in modern financial history. If this valuation holds through its eventual initial public offering (IPO), Anthropic could join an exclusive club of trillion-dollar companies and [...] The post The Valuation Tests for Trillion-Dollar AI Companies appeared first on Tekedia .
Figma is expanding into a full-stack creation platform with new code layers. The move follows first-quarter revenue of $333.4 million, up 46%.
(MENAFN - EIN Presswire) EINPresswire/ -- Inferdat, a generative AI startup led by former Amazon Web Services engineers, today emerged from stealth with the launch of three products and a full set ...
AI needs to be legally controlled, regulated By Nantoo Banerjee Fake news is flooding across India’s nearly half-a-billion social media and messaging platforms, threatening trust, relationships, and democratic processes. The country, boasting almost a billion internet subscriptions, is facing a growing crisis of misinformation with digital content spreading faster than truth across the online [...] The post AI-Generated Deepfakes are eroding social trust appeared first on Northlines .
San Francisco-based Envoy AI is expanding its logistics platform with Ellie Workforce, designed to automate freight execution at enterprise scale. The post Envoy AI unveils autonomous digital workforce for logistics teams appeared first on FreightWaves .
San Francisco-based Envoy AI is expanding its logistics platform with Ellie Workforce, designed to automate freight execution at enterprise scale. The post Envoy AI unveils autonomous digital workforce for freight brokers appeared first on FreightWaves .
Brex reports that in 2026, trends show growth in software vendors focused on routing fragmented models and vibe coding, with fal.ai and Lovable leading.
We've tested more than 100 anti-malware apps to help you find the best malware protection and removal software for all your devices.
Anna Washenko / Engadget : DuckDuckGo updates its browser for iOS, Windows, and macOS to block video ads by default, particularly those on YouTube, based on uBlockOrigin's filter lists — An unsubtle shot at Chrome. — DuckDuckGo announced that it can now block most video ads, particularly those on YouTube, when a video is playing in its browser.
The nuclear option is gaining traction as web traffic collapses and Google refuses to negotiate with content creators.
Peter White / Deadline : HBO Max received 122 Emmy nominations, Netflix landed 111, Disney received 111 overall, Apple scored 87, its most-ever, and Amazon landed 39 for Prime and MGM+ — HBO Max had another stellar morning at the Emmy nominations as huge hauls for Hacks and The Pitt helped it pip Netflix to the top spot.
Zoom is acquiring Seattle AI startup Common Room for its sales prospecting tools. The company has 180 employees and previously raised $52 million.
Dan Mangan / CNBC : A federal judge orders that E. Jean Carroll be paid $5M plus interest for damages from a verdict holding President Trump civilly liable for sexually abusing her — A New York federal judge on Wednesday ordered that E. Jean Carroll be paid $5 million plus interest for damages ...
Max Tani / Semafor : The Daily Wire sells its Jeremy's Razors and Jeremy's Chocolates consumer brands to Boreing Media, a new company led by ex-Daily Wire CEO Jeremy Boreing — The Scoop — The right-leaning digital media company The Daily Wire is selling a piece of its business to its former CEO.
Most “best testing tools” lists rank software in a vacuum, as if there’s a single winner that suits a two-person startup and a thousand-engineer enterprise equally. There isn’t. After enough years leading QA, you stop asking “what’s the best tool” and start asking “what’s the job in front of me, and which tool actually does [...] The post Choosing An AI Testing Tool By The Job It Needs To Do appeared first on Canyon News .
Meta Pocket app, launched quietly in Brazil on June 29, 2026, lets anyone create AI-generated mini-games called gizmos from a text prompt — no coding required. Every interaction trains Meta's AI by default, and the app faces Apple App Store removal risk under Guideline 2.5.2, the same rule that blocked vibe coding rivals Replit and Vibecode.
New Delhi: Rising GPU prices and chip shortages are pushing up compute costs for Indian AI startups and infrastructure companies, adding fresh pressure to a sector that is racing to secure hardware before demand outpaces available capacity. The pressure is being felt across companies that need graphics processing units for model training, inference, enterprise deployments, data-centre operations and AI-enabled software services. Zoho’s director of AI research, Ramprakash Ramamoorthy, told ET that the company’s compute cost had gone up significantly. Zoho runs its own data centre infrastructure, and Ramamoorthy said that even the cost of running a normal email-processing server was 50% lower four months earlier, according to the report. The comment is important because the cost increase is no longer limited to large model training or high-end generative AI experiments. It is beginning to affect the wider infrastructure on which software companies run routine services. Compute becomes the new constraint For AI startups, access to compute is now as important as access to capital, engineering talent and customers. A startup can build a model, win pilot customers and hire engineers, but it cannot scale without predictable access to GPUs. Training, fine-tuning and inference all require compute capacity, and the cost of that capacity directly affects product pricing and margins. The problem is sharper for younger companies because they do not have the bargaining power of large technology platforms. Bigger companies can sign long-term cloud contracts, reserve capacity in advance or invest directly in data centres. Smaller startups usually have to buy compute from cloud providers, GPU cloud companies or infrastructure partners. When supply tightens, startups face three choices. They can pay more, reduce usage or delay deployments. All three options hurt growth. Paying more compresses margins. Reducing usage can hurt product performance. Delaying deployments can weaken customer confidence, especially in enterprise AI, where customers expect reliability, uptime and clear delivery timelines. Why GPUs matter GPUs are the backbone of modern AI infrastructure. They are used to train large models, fine-tune existing models and run inference when users interact with AI systems. The current pressure is not only about the chip itself. AI GPUs depend on surrounding components such as high-bandwidth memory, servers, networking equipment, power systems and cooling. Any constraint in this chain can push up the final cost of compute. This is why companies are watching not only GPU supply but also memory prices, data-centre capacity, power availability and cloud pricing. AI infrastructure is a physical business even when the final product looks like software. The global race to build AI data centres has also changed the pricing environment. Hyperscalers, large AI labs, cloud providers and sovereign AI programmes are all trying to lock in the same categories of chips and servers. That leaves smaller buyers exposed to longer wait times and higher costs. India’s AI ambition meets hardware reality The cost pressure comes at a time when India is trying to build a domestic AI ecosystem through startups, public digital infrastructure, language models, sector-specific applications and the IndiaAI Mission. The IndiaAI Mission’s compute pillar is meant to give startups, researchers, MSMEs, government entities and other approved users access to AI compute infrastructure through empanelled providers. The objective is to reduce the cost barrier for AI builders who may not be able to independently secure expensive GPU capacity. But the challenge is larger than one programme. India has strong software talent and a large domestic market for AI-led services, but its AI infrastructure still depends heavily on imported chips and global hardware supply chains. That dependence makes Indian startups vulnerable to price spikes, export-control changes, global demand swings and supply-side bottlenecks. The Economic Survey had also flagged rising AI compute costs as a risk for India’s AI infrastructure expansion, pointing to surging global GPU demand and shortages in high-bandwidth memory chips. The issue is therefore not just a startup funding problem. It is an infrastructure problem. Zoho’s hardware move shows the direction Zoho’s recent move into its own server platform shows how larger software companies are trying to control infrastructure costs. The company launched Nathu La, an India-designed server platform, to reduce data-centre and AI infrastructure costs while strengthening control over its technology stack. The platform is meant for Zoho’s internal use and is not being commercialised immediately. Zoho said the server platform can reduce power consumption and total cost of ownership. The move fits the company’s long-standing approach of owning more layers of its technology stack rather than depending fully on external vendors or cloud providers. For startups, however, building their own server infrastructure is usually not an option. Most do not have the capital, scale or operational capability to own data centres or design hardware. They remain dependent on rented compute. That creates a widening gap between companies that can secure infrastructure and those that must buy capacity at market rates. Inference costs become a bigger issue The AI cost debate earlier focused mainly on training large models. But for many startups, the bigger recurring cost is now inference. Inference is the cost of running a model every time a user asks a question, generates an image, transcribes audio, summarises a document or uses an AI assistant. As user adoption grows, inference costs can rise quickly. This is particularly important for Indian startups because many operate in price-sensitive markets. They may not be able to pass on all compute costs to customers, especially if they serve consumers, small businesses or low-ticket enterprise segments. A product may look attractive in a pilot with a few thousand users, but the economics can change when usage scales to millions of queries. This is forcing startups to optimise models, use smaller models for specific tasks, cache responses, reduce unnecessary model calls and route workloads across different types of infrastructure. The winners may not be only the companies with the best AI models. They may be the companies that manage compute more efficiently. Cloud dependence under pressure Cloud providers remain important for Indian AI startups because they offer faster access to infrastructure without requiring upfront investment in hardware. But rising GPU demand has made cloud economics more complicated. Startups that depend heavily on high-end GPU instances may find that their monthly infrastructure bills rise faster than revenue. Some companies are trying hybrid models. They use cloud for flexibility, dedicated GPU providers for predictable workloads and lower-cost models for routine tasks. Others are exploring open-source models that can run on cheaper infrastructure. For early-stage startups, the decision is becoming strategic. Compute planning is no longer a back-end engineering matter. It affects pricing, fundraising, customer commitments and product roadmap. Investors are also beginning to look more closely at gross margins, inference costs and infrastructure discipline. AI startups that cannot explain their compute economics may find it harder to raise follow-on capital. Smaller firms face tougher choices The GPU squeeze could affect different companies differently. Startups building large foundation models need heavy training capacity and are exposed to the highest infrastructure costs. Enterprise AI companies need reliable inference capacity because customers expect service-level commitments. AI infrastructure startups need hardware access to serve others. Consumer AI products need low per-query costs to remain viable at scale. Smaller firms may have to slow product launches, restrict free usage, reduce model size or shift to paid plans earlier than planned. This could also change the structure of the Indian AI market. Companies with better access to compute may move faster, while others may become more dependent on partnerships with cloud providers, data-centre operators or larger platforms. The pressure may also encourage consolidation. Startups with strong products but weak infrastructure economics could become acquisition targets for companies that already control compute. A test for India’s AI ecosystem India’s AI opportunity is large because of its developer base, digital public infrastructure, enterprise demand and multilingual market. But the GPU squeeze shows that software ambition alone is not enough. AI products need compute, and compute needs chips, data centres, power, cooling, capital and supply-chain certainty. For policymakers, the challenge is to make subsidised or shared compute available without letting demand overwhelm capacity. For startups, the challenge is to build products that are useful enough to justify their compute cost. For larger technology companies, the challenge is to secure infrastructure without passing unsustainable costs to customers. The near-term consequence is a scramble for capacity. Companies that lock in GPUs, optimise inference and plan infrastructure early will have a stronger operating position. Those that treat compute as an afterthought may find that the real bottleneck in AI is not the model, the market or the talent, but the cost of keeping the system running.
SINGAPORE – Artificial intelligence startup Akro has successfully raised $700,000 in a fresh pre-seed funding round. The investment round was anchored by Amigos Venture Capital, marking a pivotal milestone for the young deep-tech firm. Founded in 2024 by Marcus Jairus Quek, the software company specializes in building enterprise-grade AI solutions for highly regulated sectors. The [...] <p>The post Singapore AI Startup Akro Secures $700K Pre-Seed Funding first appeared on Chiang Rai Times .</p>
Inside the Gojek co-founder’s vision for building lean startups and turning machine-readable company data into AI-assisted decision-making.