Latest AI News

ideaForge Now Has a Drone Taking Off Every 2 Minutes; Q1 Revenue Reaches ₹68.6 Cr

ideaForge Now Has a Drone Taking Off Every 2 Minutes; Q1 Revenue Reaches ₹68.6 Cr

The drone maker reported positive EBITDA and said it aims to complete its opening FY27 order book by the third quarter.

2 months ago

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TCS, Google Cloud Launch Gemini Experience Center in Mexico

TCS, Google Cloud Launch Gemini Experience Center in Mexico

TCS’ second Latin America centre features 3,000+ AI agents to help enterprises accelerate AI adoption.

2 months ago

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India’s Tech Hiring is Back, But GCCs Didn’t Get the Memo

India’s Tech Hiring is Back, But GCCs Didn’t Get the Memo

GCC hiring declined 6% month-on-month to 17,000 active openings in August, even as hiring by IT services firms grew 5% during the same period.

2 months ago

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Why This Ex-Uber, Meta Exec Believes AI Agents Don't Have to Replace Sales Reps

Why This Ex-Uber, Meta Exec Believes AI Agents Don't Have to Replace Sales Reps

As enterprises embrace AI agents, Proshort is betting the bigger opportunity lies in augmenting sales teams with real-time intelligence, helping representatives close deals faster.

2 months ago

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Pathway Claims 11x Lower AI Reasoning Costs With 150M-Parameter Model

Pathway Claims 11x Lower AI Reasoning Costs With 150M-Parameter Model

The company has reached a $500 million valuation, following additional funding, taking total seed funding to $30 million

2 months ago

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Meta Launches Muse Glimmer AI Model for Local Coding, Agentic Tasks and Multi-Step Reasoning

Meta Launches Muse Glimmer AI Model for Local Coding, Agentic Tasks and Multi-Step Reasoning

Meta has introduced Muse Glimmer, a new AI model developed by its Meta Superintelligence Labs. The Muse Glimmer features 30 billion parameters and is optimised for always-on local agent workflows. Meta says it is suitable to run on a Mac or PC equipped with a single consumer GPU. At full precision, Muse Glimmer would require more than 55GB of memory. The Muse Glimmer is designed to handle functions including agentic task completion, multi-step reasoning, and multi-model input and reasoning.

2 months ago

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Acumatica Opens Global Capability Centre in Hyderabad, Starts With Over 30 Employees

Acumatica Opens Global Capability Centre in Hyderabad, Starts With Over 30 Employees

The centre will initially focus on engineering, while its mandate could expand into other disciplines as the operation matures.

2 months ago

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Lightstorm Secures ₹2,500 Crore From IndusInd Bank to Build India AI Superhighway

Lightstorm Secures ₹2,500 Crore From IndusInd Bank to Build India AI Superhighway

The network will span 30,000+ km of terrestrial fibre and 21,000+ km of subsea fibre, connecting more than 100 data centres globally.

2 months ago

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NVIDIA Taps Apollo, BlackRock and Others to Fund $500 Bn AI Infrastructure Buildout

NVIDIA Taps Apollo, BlackRock and Others to Fund $500 Bn AI Infrastructure Buildout

NVIDIA says the model will rely on independent investor underwriting, with demand, utilisation, cash flow and residual value assessed for each project.

2 months ago

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OpenAI Launches GPT-5.6-Cyber Through Daybreak for Advanced Security Research

OpenAI Launches GPT-5.6-Cyber Through Daybreak for Advanced Security Research

OpenAI says the model has already helped identify vulnerabilities across Chrome’s V8 engine, databases, mobile operating systems, and kernels.

2 months ago

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Meta Doesn’t Need to Build Frontier Models to Win AI Race

Meta Doesn’t Need to Build Frontier Models to Win AI Race

From LLM-recommended feeds to AI agents for business and infrastructure scaling, Meta is planning its AI strategy ahead of demand.

2 months ago

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As AI-led attacks multiply, OpenAI launches a new cyber model

As AI-led attacks multiply, OpenAI launches a new cyber model

Every day seems to bringsfresh newsof an AI agent going “rogue.” Whether that’s compromisingHugging Face, hacking agym website, or creating its own fake profiles tosocially engineer an intrusion, AI models are increasingly behaving like bad actors. So, the AI labs that make the models doing the hacking are expanding their cyber protection offerings. This week, OpenAIannouncedan expansion of Daybreak, its cyber defense service which it launched earlier this year, not long after Anthropic released its cyber-focused model Mythos. Daybreak is a service that bundles access to models, tools and workflows for defenders. The expansion includes access to a brand new cyber-focused model designed for defensive work. OpenAI said Monday that Daybreak would now consist of two tiers: Blue and Red. Both of these tiers will allow approved customersaccess to OpenAI’s limited-access frontier cyber models. Frontier models — the most advanced available — have been a subject of controversy. The Trump administration previouslysought to collaboratewith AI companies on the roll out of such models, purportedly over safety concerns. Previously, OpenAI deployedsignificant guardrailsto using these models, limiting what customers could do with them. Blue, which appears to be the more basic of the two, offers a variety of cyber services, including incident response, malware analysis, and patch validation. OpenAI calls Blue its “recommended starting point for most defenders,” implying that it should be more than enough for most enterprises. Red, on the other hand, offers a broader and potentially more dangerous toolkit. The company grants its users “purpose-trained cybersecurity models,” designed to carry out security testing and vulnerability research. With Red also comes the new model, GPT‑5.6‑Cyber, which is only available at that tier. 5.6-Cyber is built off of GPT‑5.6 Sol, and offers enhanced capabilities for certain specialized cybersecurity tasks, the company said. At the moment, GPT‑5.6‑Cyber is only being made available for “trusted customer partners,” includingreportedlyAccenture, IBM, Crowdstrike, Cloudflare, and others. While the threats from AI agents are rapidly increasing, critics have also pointed out that they function as marketing opportunities for the AI labs. OpenAI is certainly marketing its upgraded Daybreak that way. “The cybersecurity world is rapidly changing—threat actors will increasingly use AI to conduct cyberattacks at unprecedented speed and scale, including in fully autonomous ways,” the company said in a blog post. “As these capabilities spread, defenders have a narrowing window to prepare.” At the same time, enterprises remain interested in buying their protection from the AI labs who know the security risks best, because they know them first-hand.

2 months ago

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