Sigmoid vs ReLU activation functions: estimation cost of losing geometric context
A deep neural network can be thought of as a geometric system, where each layer reshapes the input space to create increasingly complex decision boundaries. For this to work effectively, …
Google makes it easier to deepfake yourself
youtube shorts rolling out A new AI-powered feature that gives creators an easy way to realistically clone themselves on camera. The launch, which was hinted at earlier this year, reflects …
Building AI-Ready Backends with Spring Boot in 2026
Author(s): futurelens Originally published on Towards AI. Building AI-Ready Backends with Spring Boot in 2026 Modern applications are no longer just CRUD systems – they are expected to integrate intelligent …
Introducing two AI agents for better statistics and peer review
PaperWizAgent: preparing data ready for publication PaperWizAgent is an autonomous framework designed to produce publication-ready academic illustrations from academic text. Bridging the gap between technical description and visual communication, PaperVizAgent …
Mustafa Suleiman: There will be no obstacles to AI development in the near future—here’s why
We evolved for a linear world. If you walk for an hour, you cover a certain distance. Walk for two hours and you’ll cover twice the distance. This intuition served …
Middle East ceasefire under pressure from Israeli attacks on Lebanon
Unlock Editor’s Digest for free FT editor Roula Khalaf selects her favorite stories in this weekly newspaper. Just a day after US President Donald Trump announced a ceasefire, a massive …
How to combine Google Search, Google Maps, and custom functions into a single Gemini API call with context circulation, parallel tool IDs, and multi-step agent...
import subprocess, sys subprocess.check_call( (sys.executable, “-m”, “pip”, “install”, “-qU”, “google-genai”), stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL, ) import getpass, json, textwrap, os, time from google import genai from google.genai import types if “GOOGLE_API_KEY” not …
Z.AI Introduces GLM-5.1: An Open-Weight 754B Agent Model That Achieves SOTA on SWE-Bench Pro and Maintains 8 Hours of Autonomous Execution
Z.AI, the AI platform developed by the team behind the GLM model family, has released GLM-5.1 – its next-generation flagship model developed specifically for agentic engineering. Unlike models optimized for …