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トレンド企業

トレンド企業

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FieldAI

FieldAI

FieldAI

AI for robotics

Artificial Intelligence

Machine Learning

Deep Learning

AI Research

San Francisco, CA

1-50

2025年設立(1年目)

Private

企業価値

2.0B

累計調達額

$6200M

直近ラウンド

Series A

募集中のポジション

0件のポジション

現在募集中のポジションはありません

製品・サービス

AI

AI-Powered Field Service Management

Field Service Management

PR

Predictive Maintenance Platform

Predictive Analytics

MO

Mobile Workforce App

Mobile Solutions

PE

Performance Analytics Dashboard

Analytics & Reporting

CU

Customer Portal

Customer Experience

IN

Inventory Management System

Inventory Management

IO

IoT Device Integration

IoT Solutions

AP

API Integration Services

Integration Services

ニュース&話題

All

Reddit

X

News

HN

LinkedIn

YouTube

Summer rice fields [AI] [1920x1080]

Reddit

·

4日前

·

15

·

2

Has anyone noticed a significant quality difference between HiggsField AI and the Google API when using NanoBanana?

Been generating images through both HiggsField and the Google API and I'm seeing a pretty big difference in output file sizes for what are supposedly the same 4K images. HiggsField is giving me \~40MB PNGs while the Google API is giving me \~10MB PNGs. When I check the metadata both are the exact same pixel dimensions (3072 x 5504) but the DPI is completely different. HiggsField outputs at 300 DPI and Google API outputs at 96 DPI. Attaching a screenshot of the side by side file properties.

Reddit

·

6日前

·

7

·

7

Motivation ?

Reddit

·

1週間前

·

1,637

·

53

Combination Similarity Keys: Higher-Precision Matching with Two-Field AI-Powered Keys

**AI-Powered • Two-Field Precision • Dramatically Fewer False Positives • Easy to Integrate** Single-field matching has been the standard approach in data quality for years. You match on company name, or on address, or on a person's name—and hope for the best. But anyone who has worked with real-world data knows the problem: matching on one field alone generates too many false positives. "James Kelly" appears dozens of times in a CRM. "IBM" shows up at hundreds of addresses. "100 Main Street" c

Reddit

·

2週間前

·

1

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1

AI Training Jobs: Domain Specialists vs Generalists (Pay, Tasks & Which One Pays More)

Not all AI training jobs are the same. One of the biggest differences in pay, task difficulty, and long-term opportunities comes down to domain specialist roles versus generalist roles. Understanding this difference can help you choose the right path and avoid wasting time on lower-paying tasks. What Is a Generalist AI Training Role? Generalist AI training jobs are open to almost anyone. They focus on simple, repetitive tasks that do not require specialized knowledge. Common Generalist Tasks

Reddit

·

4週間前

·

32

もっと見る (残り15件)

総閲覧数

0

応募クリック数

0

模擬応募者数

0

スクラップ

0

レビュー

3.8

10件のレビュー

ワークライフバランス

3.2

報酬

3.5

企業文化

4.1

キャリア

3.6

経営陣

3.4

68%

友人に勧める

良い点

Supportive management and great leadership

Good team culture and collaborative environment

Learning opportunities and growth potential

改善点

Management communication and direction issues

Heavy workload and long hours

Compensation could be better

給与レンジ

1件のデータ

Senior

Senior

1件のレポート

$182,500

年収総額

基本給

$170,000

ストック

-

$144,500

$195,000