Latest updates from the AI industry
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 freight brokers 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 logistics teams 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.
Specialty Enzymes Market to Surge from USD 7.68B in 2026 to USD 16.32B by 2035-By Pharmaceutical Biocatalysis Adoption, AI-Guided Enzyme Engineering
Cloudflare’s CEO has put a blunt number behind the AI jobs debate. The company cut more than 1,100 workers while saying AI changed how its teams now operate. The post Cloudflare CEO Warns AI Job Cuts Are Coming Fast in 2026 appeared first on Memeburn .
Building off The Anxious Generation's 'Great Rewiring' theory, Pixar made a movie that goes beyond 'screen time' debates
Maruti Suzuki partners with five AI startups to automate customer support and purchasing. The automaker has filtered 7,400 startups over seven years, teaming up with 38.
T-Mobile customers on older plans will be upset about this change, as it could hit their monthly bill.
About 20 employees, including Aampe's founders, will join MoEngage as the company looks to accelerate AI-led personalisation and expand its presence in North America.
Freddie Ponton21st Century Wire Most people outside France still have no idea what BlackCore is. They do not know that in March 2026 a company no one had ever heard of walked into French municipal elections, ran a professional smear operation against left‐wing, pro‐Palestinian candidates, then tried to erase its own existence [...] The post BlackCore: Israel Runs Secret Avatar Army to Hijack Elections Worldwide appeared first on Activist Post .
Artificial intelligence is advancing beyond mere language comprehension. Researchers are now constructing 'world models' that allow AI systems and robots to grasp the physical realm. This initiative is set to enhance AI's ability to navigate intricate environments and foresee the impacts of their actions, leading to the development of advanced robots and engaging virtual realities, sparking significant interest from investors.
The hiring process has long been criticized for its inefficiency and opacity. Candidates spend hours writing applications and submitting cover letters, only to disappear into what often feels like a black box. Generative AI has only made things messier, with employers increasingly relying on AI-powered screening systems to sift through an overwhelming number of submissions. Stockholm-based startup Fika Jobs thinks there’s a better way. The company is building a video-first hiring platform that combines AI interview agents with short-form video profiles, creating something that feels like a cross between LinkedIn and TikTok. Instead of relying solely on resumes, candidates complete AI-powered interviews designed to showcase their personality and communication skills. Fika Jobs announced on Tuesday a $4 million pre-seed round, which will be used to continue developing the platform, grow the team, and prepare for a wider launch later this year. For job seekers, the process starts by connecting a LinkedIn profile. Fika’s AI reviews the candidate’s background and generates personalized interview questions. Candidates then complete a roughly 10-minute video interview with the AI agent, currently powered by Google’s Gemini models. After the interview, Fika automatically turns responses into short video clips and organizes them into a profile. Instead of
AI "world models" are the next frontier for computer scientists who see too many limitations in the AI language models behind popular chatbots.
AI "world models" are the next frontier for computer scientists who see too many limitations in the AI language models behind popular chatbots
AI "world models" are the next frontier for computer scientists who see too many limitations in the AI language models behind popular chatbots.
Stakeholders in Nigeria’s technology and innovation ecosystem have called for a stronger focus on locally developed Artificial Intelligence (AI) solutions, read more Localised solutions, reliable infrastructure needed to drive Africa’s digital future
Artificial intelligence startup Anthropic has unveiled a new workplace AI tool designed to make collaboration between employees and AI assistants more seamless inside Slack, marking another step in the intensifying race among AI companies to dominate the enterprise software market. The company announced Tuesday the launch of Claude Tag , an AI-powered agent that can be summoned directly into Slack conversations. Instead of opening a separate chatbot window, employees can simply tag the assistant in a thread using "@Claude," allowing it to participate in discussions much like a human colleague. The feature is aimed at helping teams manage information, coordinate tasks and stay updated on important developments across their organizations. Once tagged, Claude can analyze ongoing conversations, break down assignments, surface relevant information and provide contextual assistance without requiring users to leave Slack. A notable aspect of the tool is its ability to retain context over time, enabling it to build a deeper understanding of ongoing projects and team discussions. Anthropic said Claude Tag is currently available in beta for customers on its Claude Enterprise and Claude Team plans, with expansion to additional platforms planned in the near future. The launch underscores Anthropic’s growing focus on business customers, a segment that has become one of the most competitive battlegrounds in the AI industry. As organizations increasingly seek ways to integrate generative AI into daily workflows, technology companies are racing to offer tools that can move beyond simple question-and-answer interactions and function as active workplace collaborators. Anthropic said organizations will maintain control over how the assistant operates. Administrators can determine exactly which channels, data sources and tools Claude Tag is permitted to access, helping companies manage security, privacy and compliance requirements. Commenting on the partnership, Slack General Manager Rob Seaman described the new experience as a shift in how AI is used at work. "Making AI multiplayer. Instead of a private back-and-forth, Claude Tag shows up in the open." Anthropic executives believe the innovation lies not only in the technology itself but also in the way employees interact with it. Cat Wu, Anthropic’s Head of Product for Claude Code, explained that many of the underlying capabilities already existed, but integrating them into workplace conversations changes the experience significantly. "A lot of the capabilities did exist, but actually the form factor of being able to tag it the same way that you would a coworker is really powerful." Wu highlighted how the tool can be customized to monitor and manage information from other workplace applications. As an example, she revealed that she has connected her own Claude Tag to Gmail, allowing it to monitor incoming messages and alert her when important contacts reach out. "It reads my messages, flags when an important person writes to me, and then posts to me on Slack," she said, noting that Slack is the platform where she is most likely to respond quickly. The company plans to extend the capability beyond Slack in the coming weeks, potentially enabling Claude Tag to function across multiple workplace applications and communication platforms. The launch reflects a broader trend in enterprise AI, where assistants are evolving from standalone chatbots into proactive digital teammates capable of monitoring information, coordinating workflows and assisting employees in real time. As competition between major AI developers intensifies, tools like Claude Tag could play an increasingly important role in determining which platforms become embedded in the daily operations of businesses worldwide.
The initiative is expected to nurture a startup culture, expand research in emerging technologies, and enhance global employment prospects.
Taiwanese AI startup introduces a DSCS-powered AaaS model following a Japan PR campaign with 24 media pickups in three days.
Martin Scorsese is joining AI firm Black Forest Labs as an advisor to 'push the bounds of creativity.'