#Microsoft Math Solver

[ultraericthered]

Nostalgic Lookback: Computer Games

The games pictured above are far from the only MS-DOS or CD ROM computer games I played with frequency as a child*, but they are some of my most fondly remembered and among the ones I often return to playing every now and then. I know I revisited them quite a lot during quarantine five years ago, and would gladly do so again!

* There's also the other Reader Rabbit games, other Super Solver / Treasure Land games, other Carmen Sandiego games, other Blaster games, other JumpStart games, Mickey Mouse: Follow The Reader, Forever Growing Garden, Word Muncher, Candyland Adventure, Disney World Explorer, Disney Magic Artist, DK Encyclopedia, Nature World, Microsoft Entertainment Pack, Revenge Of Arcade, Math Workshop, Thinkin' Things, Sky Island Mysteries, Spy Fox, Troggle Trouble Math, Winnie The Pooh Reading and Math games, and Probably a lot more I played at school that I can't even recall!

[erisolkat]

save me microsoft math solver

[ladylolalilly]

1: …I’m going to ASSUME this is satire? If not: make a list of things you can make for dinner and the ingredients you need for it. (Doesn’t need to be a big list, just pick like a dozen things you like and/or have had recently.) Number each entry. Get a random number generator. Have the random number spit out a number between 1 and whatever the total number of entries you have is. Congratulations, you can now cook dinner without feeding Chat GPT.

2: Please do not feed Chat GPT. Just summarize the notes yourself, it’s good practice anyways.

3: I am baffled that you’ve gotten anything useful out of that. IDK if they’ve improved Chat GPT since my first and only time using it, but last I checked it was AWFUL about spitting out nonfunctional links. Also, Chat GPT routinely “hallucinates” information and will spit out absolute nonsense, so if you’re asking it a question then it’s fairly likely it’ll spit out the wrong answer. I just wouldn’t recommend this, either get creative with Google or check Bing or something. Alternative search engines do exist, and frankly you should probably get off Google anyways, it sucks.

4: …I REALLY hope this is satire. If not: GET A CALCULATOR. If the question is too complicated for a calculator, there’s entire websites dedicated to solving math problems, such as GeoGebra and Microsoft Math Solver. Also, I assume you’re a student? If so, you should check if your school offers any sort of tutoring, because you’d probably benefit a lot more from that than getting a computer to do your homework for you.

[descomplicandoaiafacil]

Qual Melhor IA para Matemática: Soluções Inteligentes

Qual a melhor IA para matemática? A resposta depende das suas necessidades!

Wolfram Alpha é potente para problemas complexos, enquanto

Symbolab oferece soluções passo a passo, ideal para estudantes.

Photomath é prático para resolução via celular. Existem outras opções como Mathway e Microsoft Math Solver. A escolha ideal considera o nível de dificuldade dos problemas, interface, funcionalidades extras e custo.

Lembre-se que a IA auxilia, mas não substitui o aprendizado. Para uma análise completa dessas e outras IAs, acesse nosso blog!

Qual Melhor IA para Matemática: Soluções Inteligentes - UniversoTech

[iubfun]

Top Free AI Apps for Students 2025 – Smart Learning

The emergence of artificial intelligence (AI) has revolutionized education, especially for students who need smart, affordable, and efficient tools to manage their academic workload. In 2025, as education continues its shift into the digital era, the demand for intuitive and reliable AI apps is at an all-time high.

AI is essential to education in the year 2025. AI technology is completely transforming the way students acquire knowledge.

AI automates nearly every aspect of student assignments, making it significantly easier to complete them.

Using digital technology is essential for every student’s education.

📲 Best Free AI Tools for Students (2025)

✍️ Writing Assistance

Grammarly: Correct sentence structure, style and meaning immediately.

Quillbot: Rephrase and polish writing, plagiarism-free.

ChatGPT: Generate concepts, construct outlines and translate.

🧮 Math & Science Solvers

Microsoft Math Solver: Step-by-step solutions with graphs.

Socratic by Google: Simply show the question and the app will show you how to solve it.

Photomath: Solve math questions at the click of a button with your smartphone camera.

🧠 Study & Flashcard Helpers

Quizlet AI: Flashcards that create themselves from your study materials.

Cram.com: A huge library with interactive study resources.

📅 Productivity & Planning

Notion AI: A organizer to manage notes, tasks and outlines.

Google Calendar + Bard AI: Voice-based study planning.

Todoist + AI: Smart task management with deadlines.

📝 Note-Taking & Transcription

Otter.ai: Real-time lecture transcriptions with highlights.

Evernote AI: Recommends labels and summarizes the main points.

✅ Benefits of AI Apps

How about boosting your concentration and minimizing cluttered environments?

🧾 Automate boring tasks

🧠 Personalize learning paths

✍️ Improve writing & comprehension

Organization leads to less stress.

⚠️ Use Responsibly

Don’t over-rely on AI

Always review & edit outputs

AI assists you in learning but you must still work hard.

🏆 Top Picks

ChatGPT can help you generate ideas quickly.

Grammarly is outstanding for editing written work.

Otter.ai is an excellent choice for recording and transcribing lectures.

AI is revolutionizing education.

Upgrade your study game with AI — and thrive!

📲 All tools are mobile-friendly & mostly free!

Ideal for use by students at any level.

[jcmarchi]

The Sequence Radar #516: NVIDIA’s AI Hardware and Software Synergies are Getting Scary Good

New Post has been published on https://thedigitalinsider.com/the-sequence-radar-516-nvidias-ai-hardware-and-software-synergies-are-getting-scary-good/

The Sequence Radar #516: NVIDIA’s AI Hardware and Software Synergies are Getting Scary Good

The announcements at GTC showcased covered both AI chips and models.

Created Using Midjourney

Next Week in The Sequence:

We do a summary of our series about RAG. The opinion edition discusses whether NVIDIA is the best VC in AI. The engineering installement explores a new AI framework. The research edition explores the amazing Search-R1 model.

You can subscribe to The Sequence below:

TheSequence is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.

📝 Editorial: NVIDIA’s AI Hardware and Software Synergies are Getting Scary Good

NVIDIA’s GTC never disappoints. This year’s announcements covered everything from powerhouse GPUs to sleek open-source software, forming a two-pronged strategy that’s all about speed, scale, and smarter AI. With hardware like Blackwell Ultra and Rubin, and tools like Llama Nemotron and Dynamo, NVIDIA is rewriting what’s possible for AI development.

Let’s start with the hardware. The Blackwell Ultra AI Factory Platform is NVIDIA’s latest rack-scale beast, packing 72 Blackwell Ultra GPUs and 36 Grace CPUs. It’s 1.5x faster than the previous gen and tailor-made for agentic AI workloads—think AI agents doing real reasoning, not just autocomplete.

Then there’s the long game. Jensen Huang introduced the upcoming Rubin Ultra NVL576 platform, coming in late 2027, which will link up 576 Rubin GPUs using HBM4 memory and the next-gen NVLink interconnect. Before that, in late 2026, we’ll see the Vera Rubin NVL144 platform, with 144 Rubin GPUs and Vera CPUs hitting 3.6 exaflops of FP4 inference—over 3x faster than Blackwell Ultra. NVIDIA’s clearly gearing up for the huge compute demands of next-gen reasoning models like DeepSeek-R1.

On the software side, NVIDIA launched the Llama Nemotron family—open-source reasoning models designed to be way more accurate (20% better) and way faster (5x speed boost) than standard Llama models. Whether you’re building math solvers, code generators, or AI copilots, Nemotron comes in Nano, Super, and Ultra versions to fit different needs. Big names are already onboard. Microsoft’s integrating these models into Azure AI Foundry, and SAP’s adding them to its Joule copilot. These aren’t just nice-to-have tools—they’re key to building a workforce of AI agents that can actually solve problems on their own.

Enter Dynamo, NVIDIA’s new open-source inference framework. It’s all about squeezing maximum performance from your GPUs. With smart scheduling and separate prefill/decode stages, Dynamo helps Blackwell hardware handle up to 30x more requests, all while cutting latency and costs.

This is especially important for today’s large-scale reasoning models, which chew through tons of tokens per query. Dynamo makes sure all that GPU horsepower isn’t going to waste. While Blackwell is today’s star, the Rubin architecture is next in line. Launching late 2026, the Vera Rubin GPU and its 88-core Vera CPU are set to deliver 50 petaflops of inference—2.5x Blackwell’s output. Rubin Ultra scales that to 576 GPUs per rack.

Looking even further ahead, NVIDIA teased the Feynman architecture (arriving in 2028), which will take things up another notch with photonics-enhanced designs. With a new GPU family dropping every two years, NVIDIA’s not just moving fast—it’s setting the pace.

The real story here is synergy. Blackwell and Rubin bring the power. Nemotron and Dynamo help you use it smartly. This combo is exactly what enterprises need as they move toward AI factories—data centers built from the ground up for AI-driven workflows. GTC 2025 wasn’t just a product showcase—it was a blueprint for the next decade of AI. With open models like Nemotron, deployment tools like Dynamo, and next-gen platforms like Rubin and Feynman, NVIDIA’s making it easier than ever to build smart, scalable AI. The future of computing isn’t just fast—it’s intelligent. And NVIDIA’s making sure everyone—from startups to hyperscalers—has the tools to keep up.

🔎 AI Research

Synthetic Data and Differential Privacy

In the paper“Private prediction for large-scale synthetic text generation“ researchers from Google present an approach for generating differentially private synthetic text using large language models via private prediction. Their method achieves the generation of thousands of high-quality synthetic data points, a significant increase compared to previous work in this paradigm, through improvements in privacy analysis, private selection mechanisms, and a novel use of public predictions.

KBLAM

In the paper “KBLAM: KNOWLEDGE BASE AUGMENTED LANGUAGE MODEL” Microsoft Research propose KBLAM, a new method for augmenting large language models with external knowledge from a knowledge base. KBLAM transforms knowledge triples into continuous key-value vector pairs and integrates them into LLMs using a specialized rectangular attention mechanism, differing from RAG by not requiring a separate retrieval module and offering efficient scaling with the knowledge base size.

Search-R1

In the paper “Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning” researchers from the University of Illinois at Urbana-Champaign introduce SEARCH-R1, a novel reinforcement learning framework that enables large language models to interleave self-reasoning with real-time search engine interactions. This framework optimizes LLM rollouts with multi-turn search, utilizing retrieved token masking for stable RL training and a simple outcome-based reward function, demonstrating significant performance improvements on various question-answering datasets.

Cosmos-Reason1

In the paper“Cosmos-Reason1: From Physical Common Sense To Embodied Reasoning” researchers from NVIDIA present Cosmos-Reason1, a family of multimodal large language models specialized in understanding and reasoning about the physical world. The development involved defining ontologies for physical common sense and embodied reasoning, creating corresponding benchmarks, and training models through vision pre-training, supervised fine-tuning, and reinforcement learning to enhance their capabilities in intuitive physics and embodied tasks.

Expert Race

This paper,“Expert Race: A Flexible Routing Strategy for Scaling Diffusion Transformer with Mixture of Experts”, presents additional results on the ImageNet 256×256 dataset by researchers who trained a Mixture of Experts (MoE) model called Expert Race, building upon the DiT architecture. The results show that their MoE model achieves better performance and faster convergence compared to a vanilla DiT model with a similar number of activated parameters, using a larger batch size and a specific training protocol.

RL in Small LLMs

In the paper “Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn’t” AI researchers investigate the use of reinforcement learning to improve reasoning in a small (1.5 billion parameter) language model under strict computational constraints. By adapting the GRPO algorithm and using a curated mathematical reasoning dataset, they demonstrated significant reasoning gains on benchmarks with minimal data and cost, highlighting the potential of RL for enhancing small LLMs in resource-limited environments.

📶AI Eval of the Weeek

(Courtesy of LayerLens )

Mistral Small 3.1 came out this week with some impressive results. The model seems very strong in programming benchmarks like Human Eval.

Mistral Small 3.1 also outperforms similar size models like Gemma 3.

🤖 AI Tech Releases

Claude Search

Anthropic added search capabilities to Claude.

Mistral Small 3.1

Mistral launched Small 3.1, a multimodal small model with impressive performance.

Model Optimization

Pruna AI open sourced its famout AI optimization framework.

📡AI Radar

NVIDIA acquired synthetic data platform Gretel AI.

Perplexity is raising a new round at $18 billion valuation.

SoftBank announced the acquisition of semiconductor platform Ampere Computing.

Data analytic company Dataminr raised $85 million in new funding.

AI security platform Orion Security emerged from stealth mode with $6 million in funding.

Roblox launched Roblox Cube, a new gen AI system for 3D and 4D assets.

Halliday blockchain-agentic platform raised $20 million in new funding.

ClearGrid raised $10 million to automated debt collection with AI.

Tera AI raised $7.8 million for its robotics navigation platform.

AI presentation platform Present raised $20 million in new funding.

[apps-games-download]

أفضل تطبيقات حل المعادلات الرياضية

إذا كنت تبحث عن تطبيقات تحل لك المعادلات الرياضية بسرعة وسهولة، فأنت في المكان الصحيح! 😍📱 إليك قائمة بأفضل التطبيقات اللي تقدر تساعدك في حل المعادلات الرياضية خطوة بخطوة، سواء كنت طالبًا أو حتى هاويًا للرياضيات! 👇

1️⃣ Photomath 🔥

📸 ببساطة، صور المعادلة باستخدام الكاميرا، والتطبيق راح يحلها لك مع خطوات الشرح! مناسب للطلاب في جميع المستويات.

2️⃣ Microsoft Math Solver 🧮

🔍 يدعم كتابة المعادلات يدويًا أو باستخدام الكاميرا، ويعطيك خطوات الحل بطريقة واضحة + رسوم بيانية للمعادلات المعقدة.

3️⃣ Mathway 🚀

💡 واحد من أقوى التطبيقات، يقدر يحل أي نوع من المعادلات الرياضية من الجبر وحتى التفاضل والتكامل.

4️⃣ Symbolab 📊

🤓 متخصص في حل المعادلات مع تقديم شرح تفصيلي لكل خطوة، مناسب جدًا لفهم الرياضيات بعمق!

5️⃣ Cymath 📘

⚡ تطبيق سريع وخفيف، يعطيك حلولًا مع الشرح، مفيد جدًا للمسائل الرياضية السريعة.

كل هذه التطبيقات متاحة على أندرويد و iOS، وتقدر تستخدم بعضها مجانًا، لكن بعض الميزات المتقدمة تحتاج اشتراك. 🔥

أي واحد جربته قبل؟ أو عندك تطبيق مفضل غيرهم؟ 😃

[makers-muse]

Ensure College & Career Readiness—STEM Labs Give Your Students a Head Start! 

https://makersmuse.in/wp-content/uploads/2025/02/481327246_651997900615559_1800281227878104468_n.jpg

From Classroom to Career: A STEM Success Story 

When 16-year-old Mia stepped into her high school’s STEM lab, she had no idea it would shape her future. At first, she hesitated, uncertain about engineering. But after working on a robotics project, she discovered a passion for problem-solving and innovation. With the skills she developed in her STEM lab, Mia earned an internship at a tech company and later secured a college scholarship in engineering. 

Mia’s story is not unique. STEM labs provide students with real-world skills that prepare them for college and high-demand careers. As the job market shifts toward technology, engineering, and data-driven industries, schools must equip students with critical thinking, collaboration, and technical skills to thrive in the 21st century. 

Why STEM Labs Are Essential for College & Career Readiness 

Today’s workforce is STEM-driven. According to the U.S. Bureau of Labor Statistics, STEM occupations are projected to grow by 10.8% by 2031, outpacing non-STEM jobs. Employers increasingly seek candidates with hands-on experience in technology, problem-solving abilities, and teamwork—all of which STEM labs provide. 

93% of parents believe STEM education is crucial for their child’s future success (Microsoft, 2023). 

STEM graduates earn 26% more on average than non-STEM peers (National Science Foundation, 2022). 

80% of future jobs will require STEM-related skills (World Economic Forum, 2023). 

By integrating STEM labs into education, schools can bridge the gap between academic learning and real-world applications, giving students a competitive edge in college admissions and careers. 

Key Benefits of STEM Labs in Education 

1. Hands-On Learning for Deeper Understanding 

Traditional lectures don’t always engage students or prepare them for real-world challenges. STEM labs allow students to build, experiment, and innovate, reinforcing theoretical concepts with practical applications. 

Example: Instead of just learning about Newton’s Laws, students can design and test rockets, applying physics principles in a dynamic learning environment. 

2. Developing Future-Ready Skills 

Employers seek critical thinkers, problem solvers, and collaborators. STEM labs help students develop: 

Technical skills (coding, robotics, 3D printing). 

Analytical thinking (data interpretation, engineering design). 

Creativity and innovation (prototyping solutions to real-world problems). 

3. Increased College Admission and Scholarship Opportunities 

STEM-related extracurricular activities and projects strengthen college applications. Many universities offer scholarships for students excelling in STEM competitions or research projects. 

Example: Students who participate in FIRST Robotics or Science Olympiad gain a higher acceptance rate into top STEM programs. 

4. Career Pathway Exploration 

A well-equipped STEM lab exposes students to various career fields, including: 

AI & Data Science – Learning about machine learning and analytics. 

Biomedical Engineering – Designing prosthetics and conducting lab experiments. 

Aerospace & Robotics – Building drones or robotic arms. 

By providing career exploration opportunities, STEM labs inspire students to pursue high-demand careers. 

How Schools Can Maximize the Impact of STEM Labs 

1. Industry Partnerships & Mentorship Programs 

Collaborate with local businesses, tech companies, and universities to offer: 

Internships and hands-on training. 

Guest lectures from STEM professionals. 

Workshops and hackathons to develop practical skills. 

2. Integrate STEM into All Subjects 

STEM isn’t just for science and math—it can enhance all subjects: 

History: Use virtual reality (VR) to explore historical events. 

Art: Combine 3D modeling with creative design projects. 

English: Encourage students to write research papers on STEM advancements. 

3. Encourage Project-Based Learning (PBL) 

STEM labs thrive on hands-on, student-led projects. Some engaging project ideas: 

High School: Build a solar-powered vehicle and test its efficiency. 

Middle School: Program a chatbot using artificial intelligence. 

Elementary School: Design an eco-friendly city model using renewable energy concepts. 

Prepare Your Students for the Future with STEM Labs 

STEM labs aren’t just an educational trend—they’re a necessity for preparing students for college and career success. By investing in hands-on learning, schools can equip students with the skills, knowledge, and confidence to excel in a competitive world. 

Give Your Students a Head Start—Explore STEM Lab Solutions Today! 

Find resources, funding opportunities, and expert guidance. Start here! 

Don’t wait start building a STEM lab in your school today! 

 Contact Maker Muse Today!  Website: https://makersmuse.in/  Email: info@makersmuse.in 

[tecnowiz]

Le migliori 14 app per risolvere problemi di matematica su Android

Se sei uno studente, un insegnante o semplicemente una persona appassionata di matematica, sai quanto possa essere frustrante affrontare problemi complessi. Fortunatamente, grazie all'avanzamento della tecnologia, puoi contare su un'ampia gamma di app disponibili su Android che ti aiuteranno a risolvere i problemi di matematica in modo rapido ed efficiente. In questo articolo, esploreremo le migliori 10 app per risolvere problemi di matematica su Android,

Scopri le migliori 14 app per risolvere problemi di matematica su Android e semplifica il tuo apprendimento con soluzioni rapide e dettagliate.

La matematica è una materia che spesso mette in difficoltà gli studenti di ogni ordine e grado. Che si tratti di espressioni, equazioni, geometria o calcolo, non sempre è facile trovare la soluzione giusta ai problemi proposti. Per fortuna, esistono delle app per risolvere problemi di matematica su Android che possono aiutare a capire meglio i concetti e a verificare i propri risultati.

14 app per risolvere problemi di matematica su Android

Queste app sono in grado di risolvere vari tipi di problemi matematici, mostrando anche i passaggi e le spiegazioni. Alcune di queste app funzionano anche offline, mentre altre richiedono una connessione a Internet. Vediamole nel dettaglio. Mathway

Mathway è un'app di riferimento per la risoluzione di problemi matematici su Android. Questa app ti consente di inserire un problema matematico e ti fornisce una soluzione dettagliata passo dopo passo. Mathway copre una vasta gamma di argomenti matematici, inclusi l'algebra, il calcolo, la geometria e molto altro ancora. È uno strumento estremamente utile per gli studenti di ogni livello e offre anche una versione premium con funzionalità avanzate. Photomath

Photomath è un'app incredibilmente intuitiva che ti permette di risolvere problemi di matematica semplicemente scattando una foto del problema stesso. L'app utilizzerà la sua tecnologia di riconoscimento ottico dei caratteri (OCR) per analizzare il problema e fornirti una soluzione immediata. Photomath supporta una vasta gamma di argomenti matematici, ed è una scelta ideale per gli studenti che desiderano risolvere rapidamente problemi di algebra, geometria, trigonometria e altro ancora. Khan Academy

Khan Academy è un'app che va oltre la semplice risoluzione dei problemi matematici. Questa piattaforma offre videolezioni interattive, esercizi e quiz per aiutarti a comprendere i concetti matematici in modo approfondito. Khan Academy copre tutti gli argomenti matematici, dalla matematica di base all'algebra, al calcolo e oltre. È un'app estremamente completa che ti guiderà passo dopo passo nel processo di apprendimento della matematica. Wolfram Alpha

Wolfram Alpha è un'app di calcolo potente che può essere utilizzata per risolvere una vasta gamma di problemi matematici. Questa app utilizza una vasta base di conoscenze per fornire risposte accurate e dettagliate alle tue domande matematiche. Wolfram Alpha è in grado di risolvere equazioni, calcolare integrali, fornire grafici e molto altro ancora. È uno strumento estremamente utile per gli studenti, gli insegnanti e i professionisti che si occupano di matematica. Microsoft Math Solver

Microsoft Math Solver è un'app sviluppata da Microsoft che ti aiuta a risolvere problemi matematici complessi. Basta scattare una foto del problema o digitare l'espressione matematica, e l'app ti fornirà una soluzione dettagliata. Microsoft Math Solver supporta una vasta gamma di argomenti matematici, inclusi l'algebra, la geometria, il calcolo e altro ancora. È un'app affidabile e facile da usare che può essere un valido aiuto per gli studenti di tutte le età. Cymath

Cymath è un'app che semplifica la risoluzione dei problemi matematici. Basta inserire l'espressione matematica e Cymath fornirà una soluzione passo dopo passo, guidandoti lungo il processo di risoluzione. Questa app è particolarmente utile per gli studenti che desiderano imparare i passaggi necessari per risolvere un problema matematico in modo autonomo. Cymath copre argomenti come l'algebra, la trigonometria, il calcolo e altro ancora. GeoGebra

GeoGebra è un'app che combina la geometria, l'algebra e il calcolo in un'unica piattaforma. Questa app è particolarmente utile per gli studenti che stanno studiando la geometria, in quanto fornisce strumenti interattivi per esplorare concetti geometrici e risolvere problemi complessi. GeoGebra offre anche funzionalità per l'algebra e il calcolo, rendendola un'app completa per gli studenti di matematica di ogni livello. MyScript Calculator

MyScript Calculator è un'app unica che ti consente di scrivere a mano libera le espressioni matematiche sullo schermo del tuo dispositivo Android. L'app utilizzerà la tecnologia di riconoscimento della scrittura per convertire le tue formule scritte in modo leggibile in calcoli matematici. MyScript Calculator può essere utilizzato per risolvere problemi di matematica di base e fornisce risultati istantanei in modo intuitivo. MalMath

MalMath è un'app specializzata nella risoluzione di problemi di matematica avanzata. Questa app ti aiuta a risolvere equazioni, integrali, derivate e altro ancora. MalMath fornisce soluzioni passo dopo passo e offre spiegazioni dettagliate per aiutarti a capire il processo di risoluzione. È un'app ideale per gli studenti di calcolo e matematica avanzata. Brainly

Brainly è un'app che ti consente di ottenere aiuto dalla comunità per risolvere problemi di matematica. Puoi porre domande specifiche e ricevere risposte dagli altri utenti della piattaforma. Brainly è una risorsa utile per gli studenti che desiderano una spiegazione o una soluzione a un problema specifico. È un modo interattivo per imparare e condividere conoscenze matematiche. Risolvi Espressioni

Risolvi Espressioni è un’altra app per risolvere problemi di matematica su Android che si concentra sulle espressioni numeriche e letterali. Questa app permette di inserire manualmente l’espressione da risolvere o di scriverla a mano libera sullo schermo del proprio dispositivo. L’app restituisce la soluzione dell’espressione, con i passaggi e le regole applicate. Risolvi Espressioni supporta anche le frazioni, le potenze, le radici e le parentesi. L’app funziona offline e non contiene pubblicità. Symbolab

Symbolab è un’app per risolvere problemi di matematica su Android che si focalizza sull’algebra e sul calcolo. Questa app permette di inserire il problema da risolvere con la tastiera o di inquadrarlo con la fotocamera. L’app restituisce la soluzione del problema, con i passaggi e le spiegazioni. Symbolab supporta diversi tipi di problemi, come equazioni lineari e quadratiche, sistemi di equazioni, funzioni, logaritmi, trigonometria, limiti, derivata, integrale e molto altro. Symbolab funziona anche offline e contiene pubblicità. Per rimuovere la pubblicità e accedere a funzioni avanzate è necessario sottoscrivere un abbonamento a partire da 6,99 euro al mese. Maple Calculator

Maple Calculator è un’app per risolvere problemi di matematica su Android che si basa sul potente software matematico Maple. Questa app permette di inserire il problema da risolvere con la tastiera o di scriverlo a mano libera. L’app fornisce la soluzione del problema, con i passaggi e le spiegazioni. Maple Calculator supporta vari tipi di problemi, come aritmetica, algebra, geometria, trigonometria, statistica, calcolo e grafici. L’app offre anche una modalità per creare documenti matematici interattivi. L’app richiede una connessione a Internet e non contiene pubblicità. Socratic by Google

Socratic by Google è un’app per risolvere problemi di matematica su Android che sfrutta l’intelligenza artificiale di Google. Questa app permette di inquadrare il problema con la fotocamera o di inserirlo con la voce o la tastiera. L’app restituisce la soluzione del problema, con i passaggi e le spiegazioni. Socratic by Google supporta diversi tipi di problemi, come aritmetica, algebra, geometria, trigonometria, statistica e calcolo. L’app offre anche una sezione dedicata all’apprendimento della matematica, con video lezioni e articoli. L’app richiede una connessione a Internet e non contiene pubblicità.

Conclusione

Queste sono solo alcune delle migliori app disponibili su Android per risolvere problemi di matematica. Sia che tu sia uno studente che cerca aiuto con gli esercizi, un insegnante che desidera strumenti didattici o semplicemente un'appassionato di matematica, queste app possono essere un valido supporto per migliorare le tue competenze matematiche e risolvere problemi in modo efficiente. Scegli l'app che meglio si adatta alle tue esigenze e inizia a sfruttare il potere della tecnologia per rendere la matematica un compito più semplice e divertente!

Note finali

E siamo arrivati alle note finali di questa guida. Le migliori 14 app per risolvere problemi di matematica su Android. Ma prima di salutare volevo informarti che mi trovi anche sui Social Network, Per entrarci clicca sulle icone appropriate che trovi nella Home di questo blog, inoltre se la guida ti è piaciuta condividila pure attraverso i pulsanti social di Facebook, Twitter, Pinterest e Tumblr, per far conoscere il blog anche ai tuoi amici, ecco con questo è tutto Wiz ti saluta. Read the full article

[tasmiyakrish]

Embark on Your Data Science Odyssey: Free Courses to Elevate Your Skills

In the ever-evolving world of data science, the landscape is constantly shifting, with new techniques, tools, and discoveries emerging at a rapid pace. However, the path to mastering this dynamic field need not be a daunting one, especially when there are abundant free online resources available to guide you.

Enhancing your career at the Data Science Course in Hyderabad with placements involves taking a systematic strategy and enrolling in a suitable course that will greatly expand your learning journey while matching with your preferences.

In this comprehensive guide, we'll explore a carefully curated selection of free data science courses that cater to learners at various stages of their journey. From foundational concepts to advanced methodologies, these courses will equip you with the necessary skills and knowledge to navigate the data science landscape with confidence.

Laying the Groundwork

Coursera's Introduction to Data Science by IBM

Embark on your data science odyssey with this comprehensive Coursera course from IBM, which provides a holistic overview of the data science process. Dive into data collection, cleaning, modeling, and the communication of insights – all the essential building blocks for a successful data science career.

University of Michigan's Python for Everybody Specialization

Proficiency in programming is a cornerstone of data science, and this Coursera specialization from the University of Michigan is the perfect place to start. Immerse yourself in the fundamentals of Python, a widely-used language in the field, and lay the foundation for your coding skills.

Data Science Math Skills by Duke University

Data science is a discipline that requires a strong grasp of mathematical concepts, such as statistics and linear algebra. This Coursera course from Duke University is designed to help you build a robust foundation in the necessary mathematical skills.

For those looking to excel in Data Science, Data Science Online Training is highly suggested. Look for classes that align with your preferred programming language and learning approach.

Advancing Your Data Science Mastery

Microsoft's Data Science Essentials on edX

Take your data science knowledge to the next level with this comprehensive edX course from Microsoft. Delve into the core techniques and methodologies of data science, including data manipulation, exploratory data analysis, and machine learning.

University of Michigan's Applied Data Science with Python Specialization on Coursera

Building upon your Python proficiency, this Coursera specialization from the University of Michigan offers a hands-on approach to applying Python for data analysis, visualization, and machine learning.

Expanding Your Horizons

Harvard University's CS50's Introduction to Computer Science on edX

While not directly focused on data science, this popular edX course from Harvard University provides a solid foundation in computer science principles, which are highly relevant for any data-driven field.

Embark on your data science odyssey with confidence, empowered by these free online resources. Unlock your full potential and join the ranks of data-driven innovators and problem-solvers.

[be10xblogs]

Best AI Tools for Solving Math Problems

Math can be a beautiful and powerful subject, but it can also be a source of frustration for students and professionals alike. Struggling with a complex problem or getting stuck on a new concept can be a major roadblock. Thankfully, the world of Artificial Intelligence (AI) offers a helping hand with a variety of tools designed to empower you in the realm of mathematics.

Tools for Solving Math Problems

These AI-powered tools can be invaluable resources for anyone looking to tackle math problems, from basic arithmetic to advanced calculus. Here are some of the top contenders:

Photomath: Snap a picture of your problem with your phone and let Photomath instantly recognize and solve it. It provides step-by-step explanations, making it a great tool for learning and checking your work.

Socratic: This interactive platform allows you to type or write your problem and receive multiple solution methods with detailed explanations. Socratic is particularly helpful for understanding the logic behind each step.

Mathway: Solve a wide range of problems across various mathematical disciplines, from algebra and trigonometry to statistics and calculus. Mathway offers clear explanations and visual aids for better comprehension.

Wolfram Alpha: Go beyond basic solutions with Wolfram Alpha's powerful computational knowledge engine. This tool can handle complex equations, integrate data, and generate visualizations, making it ideal for advanced math exploration.

Maple Calculator: A comprehensive symbolic math software, Maple Calculator provides not only solutions but also allows you to explore alternative approaches and visualize concepts graphically.

CameraMath: Similar to Photomath, CameraMath uses your phone's camera to scan and solve equations. It supports handwritten text and offers multiple solution methods with explanations, catering to different learning styles.

Microsoft Math Solver: Integrate this tool seamlessly with Microsoft Word and other applications. Simply highlight your equation and access solutions, explanations, and similar problems for further practice.

Beyond Solutions: Building Skills

While AI tools offer valuable problem-solving assistance, it's important to remember that they shouldn't replace the process of learning and understanding the underlying concepts. Use these tools strategically to:

Check your work: Verify your solutions and identify any errors in your calculations.

Gain a deeper understanding: Utilize the step-by-step explanations to grasp the logic behind each step.

Explore different approaches: See alternative solution methods to broaden your problem-solving skills.

Unleashing Your Mathematical Potential

AI math-solving tools are powerful allies in your mathematical journey. By incorporating these resources into your learning, you can:

Boost your confidence: Tackle problems with less anxiety, knowing you have support if needed.

Improve your accuracy: Reduce calculation errors and ensure you arrive at the correct solution.

Deepen your understanding: Move beyond simply getting the answer and gain a solid grasp of the concepts.

Further Your AI Journey

For those interested in delving deeper into the world of AI, consider enrolling in an AI online course or pursuing a Masters in AI. This will equip you with a broader understanding of AI principles and their applications in various fields, including mathematics.

So, the next time you encounter a challenging math problem, don't hesitate to leverage the power of AI tools. With the right approach, these resources can be a game-changer, helping you conquer equations and unlock your full mathematical potential.

[apps-to-android]

تحميل برنامج حل المسائل الرياضية 2024 Microsoft Math Solver اخر اصدار مجاناً

https://appstoandroid.com/microsoft-math-solver/

لمحة حول برنامج حل المسائل الرياضية Microsoft Math 2024

صدرت أول نسخة من برنامج حل مسائل الرياضيات يوم 6 ديسمبر 2019 عن طريق شركة مايكروسوفت

[sparkstoideas]

Top 7  Flutter app Projects ideas for beginners 2023

1. Make Login Screen

2. Build Ecommerce & Social media Apps using Flutter

3. Flutter Blog app

4. Build FoodPanda & Uber Eats Clone App

5. Build a Scientific Calculator in Flutter

6. Build Instagram Clone using Flutter and Firestore

7. To-Do List App

Introduction : 

In 2023, Flutter continues to be one of the most popular frameworks for cross-platform mobile app development. Its ease of use, robust performance, and rich ecosystem make it an excellent choice for beginners looking to dive into app development. If you're just starting out with Flutter, you might be wondering what kind of apps you can create to practice your skills. This guide will provide you with some top Flutter app ideas tailored for beginners in 2023.

1. Make Login Screen

You will need to create in this project the simplest login/register screen that has the basic fields like the username or email and the password and then converts them to two apps one for android and the other one for the iOS platform.

2. Build Ecommerce & Social media Apps using Flutter

This project is a little bit complicated as you need to build complete eCommerce and Social Media Apps but you can start with bay steps . For you example to start, all you have to do is create login authentication buttons for Facebook google Twitter and Microsoft so if the user wants to log in to his account he can use one of these icons or buttons to sign in.

3. Flutter Blog app

You will create a blog application that syncs the data from Cloud Firestore and display the blog titles as elements in the app intro page and when someone clicks in one of them he will be redirected to the blog content with some good design such as navigation and the app bar.

4. Build FoodPanda & Uber Eats Clone App

You will create in this project a food delivery application like FoodPanda and UberEats.

This project is a combination of multiple project as you will build app for user to order food as well as admin apps for provides and deliveries.Users can read menus, order, and pay for food

from participating restaurants using this application which we will develop in this course.

5. Build a Scientific Calculator in Flutter

This is also an interesting project idea for people who knows Flutter basics and want to use that  skill to build something non-trivial and useful. Building a calculator is easy as the user interface is simple and different calculator function gives you an opportunity to test your coding skills.

In this project you will build a scientific calculator. This simple & scientific calculator app

will combine a simple user interface, using math expression solver, and an output to display the result, so it makes a great starter application or template for another similar basic app design.

6. Build Instagram Clone using Flutter and Firestore

Instagram is one of the popular photo sharing and social media app, probably the most popular among celebraties than normal people but still an interesting app to build. You can learn how to upload photos' and idfferent media, implementing concepts of followers and notification and newsfeed which makes this one an interesting project.

As part of this project, you should build a minimal instagram clone which enable you to

Create your Account

Follow others

Allows uploading Photos and Video

Newsfeed which shows Photos and Videos of People you follow

7. To-Do List App

For this project, you will make a simple app that allows users keep track of their tasks in an organized way.  

Users can add new tasks, view existing ones, update task details, and mark completed tasks as done. 

Basic CRUD (Create, Read, Update, Delete) functionality will be implemented to handle task operations

CONCLUSION :-

These top Flutter app ideas for beginners in 2023 provide a diverse range of projects to help you practice your skills and build a solid foundation in app development. Remember to start with a project that aligns with your interests and gradually progress to more complex applications as you gain confidence. 

And we are glad to inform that we provide Internship and trainings in Flutter Technology. Feel Free to contact us.

[yes-deepbelievercollector]

Atualização mais recente do Microsoft Edge vai remover recursos!

A Microsoft está prestes a retirar diversas funcionalidades do seu navegador Edge, que atualmente estão em beta e tem data prevista para a sua versão final no dia 14 de setembro. É esperado que o Math Solver, o Picture Dictionary, as Citations, as Grammar Tools e o Kids Mode sejam retirados do navegador, a fim […]

[richdadpoor]

Microsoft Edge sheds five features in the beta channel

The next version of Microsoft’s Edge web browser might end up with fewer features than before. The new Edge version 117, which is currently in beta and expected to turn stable on September 14th, according to Neowin and 9to5Google, has five features slated for removal. Those features include Math Solver, Picture Dictionary, Citations, Grammar Tools, and Kids Mode. Microsoft previously mentioned…

[laurentgiret]

In an effort to streamline its Edge browser, Microsoft is deprecating its Kids Mode, Math Solver, Picture Dictionary, Grammar Tools, and Citations features.