AI/ML News & Innovations Hub

Optimize model training on Amazon SageMaker AI with NVIDIA Blackwell

This post shows you how to configure training jobs on Amazon SageMaker AI to get the most out of Blackwell’s architecture on AWS. You learn how to select batch sizes and sequence lengths that take advantage of Blackwell’s expanded memory, choose the right precision format for your model size (1B to 64B parameters), and apply activation checkpointing strategically. By the end, you have a practical framework for tuning your training configuration and launching distributed training jobs on P6-B200 instances.

Implementing super resolution by deploying SeedVR2 on Amazon SageMaker AI

In this post, we demonstrate how to implement video upscaling using SeedVR2 on SageMaker AI. We cover the solution architecture, walk through the deployment steps, and show performance comparisons that highlight the quality improvements and processing efficiency you can achieve. By the end of this post, you’ll have the practical knowledge needed to implement this super resolution solution.

Build self-service AWS Health analytics to find actionable health insights with AI agents powered by Amazon Bedrock

In this post, we show you how to build Chaplin (Customer Health and Planned Lifecycle Intelligence Nexus), an open source solution that uses AI agents exposed through the Model Context Protocol (MCP) to provide self-service health event analytics.

Building agentic AI applications with a modern data mesh strategy on AWS

This post shows how to build a governed, serverless data mesh on AWS that provides the secure, scalable data foundation production agentic AI requires.

Exclusive: Pocket FM reshuffle continues as India Country Head Suyog Gothi exits

Pocket FM's India Country Head Suyog Gothi has stepped down from the company after a two and a half year stint. He is the latest senior executive to leave the company over the past month, multiple sources told Entrackr . Gothi joined Pocket FM in December 2023. According to sources, Nitin Verma has taken over Gothi's responsibilities as part of an internal leadership reshuffle. "The transition has already taken place and Nitin is handling the role," said a person aware of the development. "The company is realigning teams and more senior level exits are expected over the next few weeks.” Confirming the development to Entrackr , a Pocket FM spokesperson said, “Suyog Gothi moved on from Pocket FM over seven months ago to pursue new opportunities. This was unrelated to Pocket TV.” However, Gothi’s LinkedIn profile reflects that he served as India Country Head until May 2026. Before joining Pocket FM, Gothi spent nearly seven years at PhonePe, where he led the company's UPI payments business before taking over as Head of Merchant Lending. Earlier in his career, he worked as a Business Analyst at Flipkart between June 2014 and July 2015. His next move could not be ascertained. Queries sent to Gothi did not elicit a response until the publication of this story. Responding to queries on more senior level exits, the spokesperson said, “As with any growing organization, leadership transitions happen from time to time for a range of personal and professional reasons. We are not aware o…

Agentic AI security steals the spotlight at Confidential Computing Summit

For a decade, confidential computing has been chipping away at one of security’s hardest problems: data is well encrypted in transit and at rest, but when a processor works on it, that data sits in memory in the clear, exposed to anyone with privileged host access. “Confidential computing’s aim was to solve this with a trusted execution environment, a subset of the CPU that runs the encrypted workload and handles things like memory encryption,” said Marina Moore , lead security researcher at Edera . For years the field felt like post-quantum cryptography PhD research scientist types agreeing the work is essential, while waiting for it to reach mainstream practitioners. At the Confidential Computing Summit in San Francisco this week, the breakout use case came into focus: agentic AI. Like the web before HTTPS “I was in the really early days of HTTP, and then HTTPS came along pretty quickly,” said Mike Bursell , executive director of the Confidential Computing Consortium . He sees agentic AI where the web sat before certificate authorities and public key infrastructure brokered trust online. “The original agent specifications were not written by security architects,” Bursell said, and “some of it feels in need of refinement.” The gap confidential computing fills is attestation, which provides proof of what runs. The hardware hashes the memory and firmware of a protected execution environment and signs the result inside the chip, Bursell explained, producing a measurement a ver…

Beyond the Straight Line: Choosing Between OLS, Interaction Terms, and Tweedie Regression

Whether you should stick to a classic Ordinary Least Squares regression, introduce interaction terms, or pivot to a Tweedie distribution depends entirely on how your data handles the messy reality of zeros and extreme outliers. The post Beyond the Straight Line: Choosing Between OLS, Interaction Terms, and Tweedie Regression appeared first on Towards Data Science .

UAE investors lead world in AI use, HSBC Finds

98% of UAE investors now use AI tools, but most still want human advice on big calls

Which tokens does a hybrid model predict better?

Smartworks to acquire Singapore-based coworking firm Workstudio Spaces

Smartworks Coworking Spaces has announced the acquisition of Singapore based flexible workspace provider Workstudio Spaces through its wholly owned subsidiary, Smartworks Space Pte. Ltd. The transaction is expected to close in July. Workstudio operates around 26,000 square feet of managed workspace in Singapore. Following the acquisition, Smartworks' footprint in the city state is expected to increase to about 76,000 square feet across four centres, with seating capacity of more than 1,500. According to the company, the acquisition will be funded through resources available with its Singapore subsidiary. Smartworks founder and managing director Neetish Sarda said Singapore remains a strategic market for the company. He added that the acquisition will expand its presence in a high demand micro market and broaden its enterprise customer base. As of March 31, 2026, Smartworks managed around 16.1 million square feet of workspace across 66 centres in 15 cities in India and Singapore. The company primarily serves enterprise clients, including multinational corporations, global capability centres, and large Indian businesses. Smartworks' revenue from operations rose 45% year on year to Rs 520 crore in Q4 FY26 from Rs 358 crore in the same quarter last year. The company reported a profit of Rs 16.6 crore in Q4 FY26 against a loss of Rs 8.3 crore in Q4 FY25, as revenue growth outpaced the increase in expenses.

Real-Time Portfolio Optimization with NVIDIA cuFOLIO

Let’s walk through the NVIDIA cuFOLIO Developer Example. This open source, customizable notebook enables GPU accelerated portfolio optimization by constructing an optimal portfolio from the S&P 500 universe and then backtesting against customizable parameters and portfolios. ➡️ Start now: https://build.nvidia.com/nvidia/quantitative-portfolio-optimization 📥 Code: https://github.com/NVIDIA-AI-Blueprints/quantitative-portfolio-optimization/ 📝 Tech blog: https://developer.nvidia.com/blog/accelerate-large-linear-programming-problems-with-nvidia-cuopt 00:00 Interactive Backtesting Intro 00:11 Quantitative Portfolio Optimization 00:26 Deploy on Cloud (Brev) 00:57 Launchable Setup 01:50 Github 01:57 Run Notebook 02:42 2. CVaR Formulation 03:00 3. Data and Model Setup 04:26 4. Solve CVaR Optimization 07:15 5. Backtest Portfolio 08:09 6. GPU v CPU 09:40 7. Appendix 10:05 Outro #quantfinance #portfoliooptimization #algorithmictrading

Query Your Codebase with DeepSeek V4 and vLLM

We’ve uncovered a master gene that switches on human development

We have identified the gene that, when activated, initiates the developmental programme that results in cells forming a human body

Using Gemini to Create Google Sheets

In this tutorial, we will show you how to use Gemini to create Google Sheets, build a useful table, generate formulas, analyze data, and improve the spreadsheet with follow-up prompts.

Turn Research Papers into Insights with DeepSeek-V4 and SGLang

Understanding the brain with AI-driven explanations and experiments

Researchers introduce generative causal testing, which translates black box models into clear hypotheses and verifies them in the scanner, revealing what specific brain regions respond to in language. The post Understanding the brain with AI-driven explanations and experiments appeared first on Microsoft Research .

The race to understand how and when Thwaites glacier will collapse

The loss of Antarctica’s doomsday glacier would transform our planet. Now scientists are revealing the secrets of this remotest of places, and asking the question: is its demise inevitable?

Why do subgroup TWFE regressions and an interaction TWFE model give different coefficients, when they agree in plain OLS?

I am estimating the effect of a continuous treatment on a continuous outcome using a two-way fixed effects (TWFE) model with individual and year fixed effects ( fixest::feols ) and cluster-robust standard errors. I want to estimate heterogeneous effects by sex, a binary, time-invariant grouping variable. With OLS, I get exactly the behaviour I would expect. m The female marginal effect returned by avg_comparisons() is exactly the same as the coefficient from the female-only regression (-0.00206), and likewise the male marginal effect is exactly the same as the male-only regression (-0.00009). However, the same is not true with fixed effects. I estimate m The fitted coefficients are treatment = 0.00279 treatment:sexFemale = -0.00932 and therefore marginaleffects::avg_comparisons( m, variables = "treatment", by = "sex" ) returns Female = -0.00652 Male = 0.00279 However, estimating separate fixed-effects models gives feols( outcome ~ treatment | id + year, data = subset(dat, sex == "Female"), cluster = ~neighbourhood ) feols( outcome ~ treatment | id + year, data = subset(dat, sex == "Male"), cluster = ~neighbourhood ) with estimates Female = -0.00379 Male = -0.00034 The subgroup samples are additive: Female observations + Male observations = pooled observations. Female individuals + Male individuals = pooled individuals. I also verified that this is not an issue with avg_comparisons() ; without fixed effects in fixest::feols() , the marginal effects and subgroup regressions co…

ARX Robotics and Roboneers form ARX Industries to scale unmanned ground vehicle production

German company ARX Robotics and Ukraine's Roboneers today announced the formation of ARX Industries, a joint venture to industrialise the mass production of unmanned ground vehicles. The new entity wi...

The Dev Containers Story: Introducing EelApi for Plugin Authors

Modern development has shifted one old IDE paradigm significantly: Now, not only is it possible that a project is not hosted on the same physical or remote machine as your IDE instance, it could even be that both share the same host but are separated from one another inside isolated environments. If you are a […]

The marketing variable no dashboard can measure

New research suggests your CMO's personal life may shape marketing strategy as much as customer data, with implications for every marketing team. The post The marketing variable no dashboard can measure appeared first on MarTech .

Sofina Ventures offloads Rs 177 Cr worth stake in Mamaearth parent

Sofina Ventures has sold its 1.28% stake in Honasa Consumer, the parent company of Mamaearth through a Rs 177 crore bulk deal on NSE on Thursday. According to exchange data, the Belgium-based investment firm sold 41.78 lakh shares, representing a 1.28% stake in the company, at an average price of Rs 424.07 apiece, valued at Rs 177.2 crore As per the company's March 2026 shareholding data, Sofina Ventures owned a 3.29% stake in Honasa Consumer. Following the sale of 1.28% shares through the bulk deal, its stake is estimated to have reduced to nearly 2%. The deal comes at a time when several venture capital and private equity firms are monetising their investments in listed startups. Recent transactions include Actis’ Rs 371 crore bulk deal in Pine Labs , Alpha Wave’s stake sale in Delhivery , and partial exits by SoftBank and ADIA in Lenskart . In Q4 FY26, Mamaearth reported strong 23% year-on-year growth in its revenue from operations to Rs 657 crore from Rs 534 crore in Q4 FY25, while posting a profit of Rs 69.4 crore during the quarter. Earlier this week, the Gurugram-based company acquired a majority stake in Fluence Pharma , its second acquisition in six months after the purchase of Reginald Men , which marked its entry into the men’s grooming category. Honasa’s shares closed at Rs 421.7 on the NSE on Thursday, valuing the company at a market capitalization of approximately Rs 13,595 crore ($1.51 billion).

How can I estimate the time complexity of training a neural network classifier?

I'm working on a face classifier using YOLO, but for the classification step, we are using a neural network with the following architecture: self.fc = nn.Sequential( nn.Linear(input_dim, 256), nn.ReLU(), nn.Dropout(0.3), nn.Linear(256, 128), nn.ReLU(), nn.Dropout(0.3), nn.Linear(128, num_classes) ) I'm training the network with N classes of 200 embeddings each, which means I have 200*N inputs to the neural network. I want to see if there is way to estimate the time complexity of the training phase of the neural network in function of the number of classes. Thank you!

The Two-Way Energy Conversation: How AI Both Strains and Optimises Data Centre Power

South Africa is rapidly positioning itself as the infrastructure backbone of digital economic growth in sub-Saharan Africa. With the local data centres reaching capacity and many new facilities planned, strategies around artificial intelligence (AI) and cloud are shaping the next chapter in the country’s progress. However, according to DFA, South Africa’s premier enterprise connectivity provider, [...]

Energy For AI, AI For Energy: Designing AI-Ready Data Centres

The data centre industry has evolved through successive waves of innovation, from virtualisation to cloud computing, and now to AI. According to Bloomberg, the market for generative AI is expected to reach USD 1.3 trillion by 2032, while PwC projects that AI could contribute up to USD 15.7 trillion to the global economy by 2030, [...]

What it actually takes to scale AI in Europe: ‘The best founders aren’t building for the next funding round’

EBRD and Microsoft Partner to Help African Startups Adopt AI and Scale

The European Bank for Reconstruction and Development and Microsoft have entered a partnership aimed at helping promising African startups use artificial intelligence to improve their operations and prepare for expansion. The organizations signed a memorandum of understanding during the EBRD’s annual meetings in Amsterdam. The agreement establishes a framework for a pilot programme focused on [...]

The Real Winner of Cursor’s $60B Acquisition Won’t Be AI Coding Assistants

When news broke that SpaceX would acquire Cursor’s parent company, Anysphere, in a reported $60 billion all-stock deal, most of the discussion centered around AI. This was another milestone and enormous valuation, and signal that AI is still bringing enormous disruption. Those reactions aren’t wrong but they can overshadow the bigger story. The real significance […]

AI Bias Is Putting LGBTQIA+ People at Risk

The post AI Bias Is Putting LGBTQIA+ People at Risk appeared first on Partnership on AI .

3 Agents. 3 LLMs. 1 Aging GPU: Engineering Parallel Inference on Bare Metal

Beat the 8GB VRAM limit. Learn how to run three different LLMs on a single 8GB GPU using C++ layer multiplexing and admission control. The post 3 Agents. 3 LLMs. 1 Aging GPU: Engineering Parallel Inference on Bare Metal appeared first on Towards Data Science .

African Mobile Operators Move AI From Strategy to Deployment, GSMA Report Finds

Africa’s mobile operators are deploying AI across a growing range of internal functions — including predictive maintenance, network optimization and AI-driven customer service — according to the Mobile Economy Africa 2026 report published this week by the GSMA. The report cited an Airtel initiative launched in Uganda in April 2025, which the telco described as [...]

Introducing a Recommended Agent in AI Chat, With Codex as the Current Default

Since writing this blog post, Open AI has released GPT 5.6; and after re-running evaluations this model performed better than GPT5.4. The recommended agent in JetBrains is now Codex with GPT 5.6 Luna, medium reasoning. __________________________________________________________________________________ JetBrains AI supports multiple coding agents, including Junie, Codex, Claude Agent, and any ACP-compatible agent you bring yourself. Previously, […]

SSH Connections Are Moving to JetBrains Daemon in the Toolbox App 3.6 EAP

Starting with the Toolbox App 3.6 Early Access Program (EAP), SSH connections to remote environments use the JetBrains Daemon (jetbrainsd) by default. We’re making this change available in the EAP first because jetbrainsd is becoming the shared background service for JetBrains tools. Moving SSH there helps us validate the new connection flow before using it […]

TokenSpeed-Kernel: Portable APIs and High-Performance Kernels for Multi-Silicon LLM Inference

TL;DR The TokenSpeed-kernel is a standalone, open-source subsystem designed to solve backend complexity in LLM inference. It introduces a clean, layered API and registry system that decouples the high-level runtime...

La métrica que hizo tropezar la estrategia ‘AI-first’ de Duolingo

En abril de 2026, el CEO de Duolingo, Luis von Ahn, reconoció que la compañía había retirado uno de los elementos más delicados de su estrategia de inteligencia artificial: el uso de IA dejaba de contar en las evaluaciones de desempeño de sus empleados . Lo llamativo es que, un año antes, una crisis pública en toda regla no había conseguido cambiar su estrategia ni un milímetro. El primer debate se abrió en la primavera de 2025, cuando Duolingo se declaró ‘AI-first’ . Ahí saltó la discusión habitual de la IA frente a las personas. Prendió rápido: usuarios borrándose la app y las redes de la marca inundadas de críticas. Von Ahn resolvió con oficio la crisis reputacional: aclaraciones, matices y un tono más suave. Le funcionó. El fuego se apagó, la estrategia siguió intacta y la empresa continuó creciendo. Pero se había abierto un segundo debate, menos visible pero igualmente importante: el de la evaluación de los empleados. Ese no se aplacaba con una nota de prensa. Fuera apenas trascendió: lo que una empresa haga con sus evaluaciones internas no provoca bajas masivas ni incendia TikTok. Dentro fue otra cosa. No hubo clamor, pero sí una objeción de fondo. Y esta vez el CEO cedió. La comunicación fue casi inversa a la del año anterior: no hubo gran rectificación pública ni operación de imagen. Von Ahn lo mencionó casi de pasada en un podcast: esa métrica se había retirado. Una crisis pública no movió la estrategia . Una objeción interna, sí. Lo interesante no es tanto la difer…

Repositioning retail for the AI era

Artificial intelligence is rapidly reshaping retail, but not in the ways consumers might immediately notice. The biggest transformation may not be flashy virtual try-ons or chatbot shopping assistants, but in how decisions are made behind the scenes: how products surface in search results, how inventory moves through supply chains, how engineers ship code faster, and…

Pocket FM’s AVP Content Ankit Singh exits amid leadership changes

Ankit Singh, Assistant Vice President of Content at Pocket FM, has announced his departure from the company after a two year stint. In a LinkedIn post, Singh said he moved from working on retention, revenue and analytics to leading Pocket FM’s global content marketing function. He said his team managed content marketing across international markets and adopted generative AI for content production, brand campaigns, the Discover platform launch and other initiatives. "In the next chapter, I'm working on something of my own with a close friend for people in the middle of a job search," said Singh. His exit came on the same day the shutdown of Pocket TV, Pocket FM's microdrama vertical, came to light. Responding to Entrackr's queries, the company said Pocket TV had been launched as a beta experiment and was concluded around eight months ago. It also reiterated its focus on its core audio business and global expansion ahead of a potential IPO. Singh's departure also comes amid a series of senior leadership exits at Pocket FM in recent months. Last month, Chief Financial Officer Anurag Sharma stepped down after nearly three years with the company to pursue entrepreneurial opportunities. During the same month, Senior Vice President Mayank Sancheti also stepped down from his role. Pocket FM has also begun discussions to shift its holding company back to India through a reverse flip as it eyes a public listing in the country. Update at 6:10 PM, June 26 : The story has been updated to…

Your AI Agent Keeps Missing The Real Bottleneck. JetBrains Rider Can Fix It Now.

Here’s a case worth pondering: your app freezes for ten seconds, and you ask an AI agent what’s wrong. What does it actually do? For a long time the honest answer was: it rummages through your code and takes a wild guess. A snapshot taken by a profiler tool is runtime evidence. It knows exactly […]

Serpier raises €1.4M to help online retailers improve digital visibility

Danishmartech startup Serpier has raised €1.4 million in funding from True Collectiveand the Export and Investment Fund of Denmark (EIFO) to expand its AI-poweredmarketing platform for e-commerce busi...

5 Open Source Omni AI Models That Handle Text, Images, Audio, and Video

Take a practical look at multimodal, any-to-any systems for vision-language reasoning, speech interaction, document intelligence, real-time assistants, local deployment.

Qiskit Paulice: postselected quantum error correction

Qiskit Paulice, a new Qiskit addon, improves the reliability of quantum circuits by detecting and filtering out errors.

An LLM as arbiter in RAG retrieval: picking the right candidate with reasons

Enterprise Document Intelligence [Vol.1 #7C] - One LLM call ranks the candidates with reasons. The output is one typed object your auditor can defend The post An LLM as arbiter in RAG retrieval: picking the right candidate with reasons appeared first on Towards Data Science .

If you aren't terrified by this heatwave, you should be

The extreme heat currently being felt in Europe isn’t the new normal – much worse is to come, and we are doing far too little to adapt, says Michael Le Page

Claude Code in Slack

a tip to get better UI from Codex

Salesforce unveils AI Help Agent with pay-per-resolution pricing

Salesforce today announced Agentforce Help Agent, a new pre-packaged service agent that organizations can connect to their knowledge base to provide support to customers and employees across chat, portals, and other digital channels using text or voice. The new agent is also the first offering from Salesforce to feature a new pay-per-resolution model in which organizations only pay when the agent autonomously resolves an issue from start to finish. “It’s a packaged, opinionated solution targeted at the customer service team, built on the Agentforce platform,” said Kishnan Chetan, EVP and GM of Agentforce Service at Salesforce. “Customers pay when their customers’ questions are resolved, i.e., it doesn’t get escalated to human or the customer doesn’t abandon it.” Salesforce built the new service agent on experience from millions of customer service interactions. Chetan noted that tens of thousands of Salesforce customers use Agentforce across sales, marketing, and commerce, but the majority start with service. Salesforce itself has followed that trajectory . Its Help.Salesforce.com service portal has handled 4.3 million customer inquiries since release and has resolved 70% of them. Emphasis on usability and trust Chetan said the team has focused on making the Help Agent easy to deploy, even by business users. Users can enable voice, web, portal, and messaging channels from a single screen, allowing the agent to answer customer questions and manage cases. Users can add additio…

Salesforce launches Help Agent to simplify AI customer service deployment

Salesforce Inc. is launching a new prepackaged artificial intelligence agent for customer service, enabling organizations to quickly build and deploy AI agents. Today Salesforce announced Help Agent, a prebuilt service agent set atop the Agentforce platform. It can be connected to company knowledge, actions and communication channels in minutes – including web, text and voice. […] The post Salesforce launches Help Agent to simplify AI customer service deployment appeared first on SiliconANGLE .

Warp lands $60M to automate payroll, compliance and HR with AI

Employee management startup Warp today said it has raised $60 million in new funding to expand a platform that uses artificial intelligence to run payroll and other back-office work with little staff involved. The New York-based company pitches itself as an AI-native alternative to legacy human capital management software, the category long dominated by Workday […] The post Warp lands $60M to automate payroll, compliance and HR with AI appeared first on SiliconANGLE .

The Ultimate Summer Sale Pairing: Steam Sale Meets GeForce NOW Discounts

Summer savings are heating up. From the Steam Summer Sale to GeForce NOW membership discounts, this week’s GFN Thursday delivers double the deals and more ways to get the most value from cloud gaming. Plus, Dark Scrolls joins the growing Devolver lineup, alongside Square Enix’s The Adventures of Elliot: The Millennium Tales. They lead the […]

What It Means to Be a Mathematician When AI Does the Math

In the mid-noughties, when music by the Killers and Franz Ferdinand blared out of every pub and nightclub I passed, I spent my days and nights struggling through a Ph.D. in applied mathematics . My research focused on simulating how special light waves interact in liquid crystals and using simple equations to approximate and understand those interactions. When I look back at my thesis now, liquid crystal technology is old hat, and I imagine my work could be completed with AI assistance in a matter of days—maybe hours. But the same cannot be said for the work of the pure mathematics Ph.D. students with whom I shared a cramped office at the University of Edinburgh. At the time, I felt sorry for these colleagues, who day after day sat at their desks, seemingly tearing their hair out and making no progress. (Though I was struggling too, I was at least always making some headway.) When we finished and went our separate ways, some hadn’t even published a paper. Now, in hindsight, I finally understand why they toiled for years on abstract mathematical problems that only a handful of people in the world care about. It wasn’t arrogance, as I thought at the time; they weren’t trying to prove their superior intelligence by being the first to solve a seemingly intractable mathematical problem. It wasn’t even a form of masochism (which was my second guess)—penance for some imagined inadequacy. I realized they derived joy, satisfaction, and meaning from the long journey toward understandi…

Exclusive: LucidLink launches MCP server to give AI agents shared access to distributed files

LucidLink Corp., the maker of a cloud network-attached storage system based on object storage technology, today extended its distributed file system technology into agentic artificial intelligence with the public beta release of a Model Context Protocol server that lets AI agents access shared files across clouds, on-premises systems and edge environments. The company said its […] The post Exclusive: LucidLink launches MCP server to give AI agents shared access to distributed files appeared first on SiliconANGLE .