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فیلمهای هوش مصنوعی (فارسی) مهدیه سلیمانی 25جلسه
جلسه نوزدهم - استنتاج در منطق مرتبه اول
#ویدئو #فیلم #هوش_مصنوعی
#Video #Artificial_Intelligence #ArtificialIntelligence #AI
@Engineer_Computer
جلسه نوزدهم - استنتاج در منطق مرتبه اول
#ویدئو #فیلم #هوش_مصنوعی
#Video #Artificial_Intelligence #ArtificialIntelligence #AI
@Engineer_Computer
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فیلمهای هوش مصنوعی(فارسی) مهدیه سلیمانی 25جلسه
جلسه هجدهم-منطق مرتبه اول و استنتاج در آن
#ویدئو #فیلم #هوش_مصنوعی
#Video #Artificial_Intelligence #ArtificialIntelligence #AI
@Engineer_Computer
جلسه هجدهم-منطق مرتبه اول و استنتاج در آن
#ویدئو #فیلم #هوش_مصنوعی
#Video #Artificial_Intelligence #ArtificialIntelligence #AI
@Engineer_Computer
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فیلمهای هوش مصنوعی (فارسی) مهدیه سلیمانی 25جلسه
جلسه بیستم - برنامه ریزی
#ویدئو #فیلم #هوش_مصنوعی
#Video #Artificial_Intelligence #ArtificialIntelligence #AI
@Engineer_Computer
جلسه بیستم - برنامه ریزی
#ویدئو #فیلم #هوش_مصنوعی
#Video #Artificial_Intelligence #ArtificialIntelligence #AI
@Engineer_Computer
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فیلمهای هوش مصنوعی (فارسی) مهدیه سلیمانی 25جلسه
جلسه بیست ودوم- برنامه ریزSAT Plan و pop
#ویدئو #فیلم #هوش_مصنوعی
#Video #Artificial_Intelligence #ArtificialIntelligence #AI
@Engineer_Computer
جلسه بیست ودوم- برنامه ریزSAT Plan و pop
#ویدئو #فیلم #هوش_مصنوعی
#Video #Artificial_Intelligence #ArtificialIntelligence #AI
@Engineer_Computer
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فیلمهای هوش مصنوعی (فارسی) مهدیه سلیمانی 25جلسه
جلسه بیست و یکم - گراف برنامه ریزی
#ویدئو #فیلم #هوش_مصنوعی
#Video #Artificial_Intelligence #ArtificialIntelligence #AI
@Engineer_Computer
جلسه بیست و یکم - گراف برنامه ریزی
#ویدئو #فیلم #هوش_مصنوعی
#Video #Artificial_Intelligence #ArtificialIntelligence #AI
@Engineer_Computer
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فیلمهای هوش مصنوعی (فارسی) 25 جلسه
جلسه بیست و سوم-نمایش دانش احتمالی و استنتاج در آن
#ویدئو #فیلم #هوش_مصنوعی
#Video #Artificial_Intelligence #ArtificialIntelligence #AI
@Engineer_Computer
جلسه بیست و سوم-نمایش دانش احتمالی و استنتاج در آن
#ویدئو #فیلم #هوش_مصنوعی
#Video #Artificial_Intelligence #ArtificialIntelligence #AI
@Engineer_Computer
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فیلمهای هوش مصنوعی (فارسی) مهدیه سلیمانی 25 جلسه
جلسه بیست و چهارم
#ویدئو #فیلم #هوش_مصنوعی
#Video #Artificial_Intelligence #ArtificialIntelligence #AI
@Engineer_Computer
جلسه بیست و چهارم
#ویدئو #فیلم #هوش_مصنوعی
#Video #Artificial_Intelligence #ArtificialIntelligence #AI
@Engineer_Computer
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فیلمهای هوش مصنوعی (فارسی) مهدیه سلیمانی 25 جلسه
بیست و پنجم - یادگیری تقویتی
#ویدئو #فیلم #هوش_مصنوعی
#Video #Artificial_Intelligence #ArtificialIntelligence #AI
@Engineer_Computer
بیست و پنجم - یادگیری تقویتی
#ویدئو #فیلم #هوش_مصنوعی
#Video #Artificial_Intelligence #ArtificialIntelligence #AI
@Engineer_Computer
MaskedFace-Net -- A Dataset of Correctly/Incorrectly Masked Face Images in the Context of COVID-19
By: Adnane Cabani, Karim Hammoudi, Halim Benhabiles, and Mahmoud Melkemi
Link
#DataSet #MachineLearning #DeepLearning #ArtificialIntelligence #Covid19
#Data_Set #Machine_Learning #Deep_Learning #Artificial_Intelligence #Covid_19
@Recommender_Systems
کانال آموزش کامپیوتر
@Engineer_Computer
By: Adnane Cabani, Karim Hammoudi, Halim Benhabiles, and Mahmoud Melkemi
Link
#DataSet #MachineLearning #DeepLearning #ArtificialIntelligence #Covid19
#Data_Set #Machine_Learning #Deep_Learning #Artificial_Intelligence #Covid_19
@Recommender_Systems
کانال آموزش کامپیوتر
@Engineer_Computer
Blockchain_sec_handbook.epub
3.9 MB
Techbook
Ultimate Blockchain Security Handbook: Advanced Cybersecurity Techniques and Strategies for Risk Management, Threat Modeling, Pentesting, and Smart Contract Defense for Blockchain 2023.
@Engineer_Computer
——————————————————
#blockchaintechnology #artificialintelligence #riskmanagement #pentesting #cybersecurity
#BusinessSecureContinuity
Ultimate Blockchain Security Handbook: Advanced Cybersecurity Techniques and Strategies for Risk Management, Threat Modeling, Pentesting, and Smart Contract Defense for Blockchain 2023.
@Engineer_Computer
——————————————————
#blockchaintechnology #artificialintelligence #riskmanagement #pentesting #cybersecurity
#BusinessSecureContinuity
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🌍 Call for Nominations: International Scientific Committee (ISC)
The International Olympiad in Artificial Intelligence (IOAI) is opening the second round of nominations for its International Scientific Committee (ISC).
We are seeking dedicated experts, educators, and researchers who are passionate about advancing AI education and shaping the future of the Olympiad on a global scale.
👉 Submit your nomination here: bit.ly/IOAI_ISC2
📅 Deadline: November 1, 23:59 AOE (Anywhere on Earth)
🔎 All nominations will be reviewed by the current ISC, with results announced afterward in accordance with IOAI regulations.
This is a unique opportunity to join an international network of leaders, contribute to the development of AI education, and inspire the next generation of talent.
We welcome your nominations!
#AI #ArtificialIntelligence #Education #IOAI
🔹 Share & Support Us 🔹
📱 Channel : @Engineer_Computer
The International Olympiad in Artificial Intelligence (IOAI) is opening the second round of nominations for its International Scientific Committee (ISC).
We are seeking dedicated experts, educators, and researchers who are passionate about advancing AI education and shaping the future of the Olympiad on a global scale.
👉 Submit your nomination here: bit.ly/IOAI_ISC2
📅 Deadline: November 1, 23:59 AOE (Anywhere on Earth)
🔎 All nominations will be reviewed by the current ISC, with results announced afterward in accordance with IOAI regulations.
This is a unique opportunity to join an international network of leaders, contribute to the development of AI education, and inspire the next generation of talent.
We welcome your nominations!
#AI #ArtificialIntelligence #Education #IOAI
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Google Docs
IOAI International Scientific Committee Nomination Form
Please submit the form by November 1st 2025 23:59 AOE.
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Network Security Channel
1779050581263.pdf
📊 Stanford just dropped the AI Index Report 2026 — here's what stood out to me.
The ninth edition of Stanford HAI's annual report is out (400+ pages), and the through-line is sharp: AI is scaling faster than the systems built to govern, evaluate, and absorb it. A few numbers worth sitting with 👇
🔹 Capability isn't plateauing — it's accelerating. On SWE-bench Verified, model performance jumped from 60% to nearly 100% of the human baseline in a single year. Frontier models now meet or beat human baselines on PhD-level science and competition math.
🔹 The US–China model gap has effectively closed. The two have traded the lead repeatedly since early 2025; as of March 2026 the top US model leads by just 2.7%. South Korea quietly leads the world in AI patents per capita.
🔹 The "jagged frontier" is real. A model can win IMO gold — yet read an analog clock correctly only ~50% of the time. AI agents leapt to ~66% task success on real-computer benchmarks but still fail roughly 1 in 3 attempts.
🔹 Adoption broke records. Generative AI hit 53% population-level adoption within three years — faster than the PC or the internet. Organizational adoption reached 88%, and 4 in 5 university students now use it.
🔹 Responsible AI is lagging. Safety benchmarks aren't keeping pace, and reported AI incidents are rising sharply.
🔹 The footprint is growing too. Data-center power capacity hit ~29.6 GW — comparable to New York State at peak demand.
🔹 The labor signal is subtle but important. Productivity gains of 14–26% are showing up in support and software roles — the same fields where entry-level employment is starting to soften.
My takeaway: 2025 was the year AI arrived. 2026 is the year we find out whether our governance, evaluation methods, and institutions can actually keep up. The capability curve is steep — the readiness curve isn't.
Worth a read for anyone in tech, policy, or security. 📑
What stood out most to you?
#AI #ArtificialIntelligence #StanfordHAI #AIIndex2026 #MachineLearning #AIGovernance #ResponsibleAI #TechPolicy #CyberSecurity
🔹 Share & Support Us 🔹
📱 Channel : @Engineer_Computer
The ninth edition of Stanford HAI's annual report is out (400+ pages), and the through-line is sharp: AI is scaling faster than the systems built to govern, evaluate, and absorb it. A few numbers worth sitting with 👇
🔹 Capability isn't plateauing — it's accelerating. On SWE-bench Verified, model performance jumped from 60% to nearly 100% of the human baseline in a single year. Frontier models now meet or beat human baselines on PhD-level science and competition math.
🔹 The US–China model gap has effectively closed. The two have traded the lead repeatedly since early 2025; as of March 2026 the top US model leads by just 2.7%. South Korea quietly leads the world in AI patents per capita.
🔹 The "jagged frontier" is real. A model can win IMO gold — yet read an analog clock correctly only ~50% of the time. AI agents leapt to ~66% task success on real-computer benchmarks but still fail roughly 1 in 3 attempts.
🔹 Adoption broke records. Generative AI hit 53% population-level adoption within three years — faster than the PC or the internet. Organizational adoption reached 88%, and 4 in 5 university students now use it.
🔹 Responsible AI is lagging. Safety benchmarks aren't keeping pace, and reported AI incidents are rising sharply.
🔹 The footprint is growing too. Data-center power capacity hit ~29.6 GW — comparable to New York State at peak demand.
🔹 The labor signal is subtle but important. Productivity gains of 14–26% are showing up in support and software roles — the same fields where entry-level employment is starting to soften.
My takeaway: 2025 was the year AI arrived. 2026 is the year we find out whether our governance, evaluation methods, and institutions can actually keep up. The capability curve is steep — the readiness curve isn't.
Worth a read for anyone in tech, policy, or security. 📑
What stood out most to you?
#AI #ArtificialIntelligence #StanfordHAI #AIIndex2026 #MachineLearning #AIGovernance #ResponsibleAI #TechPolicy #CyberSecurity
🔹 Share & Support Us 🔹
📱 Channel : @Engineer_Computer
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Network Security Channel
Empowering Defenders AI for Cybersecurity.pdf
🛡 AI isn't just a tool attackers use — it's becoming the defender's biggest advantage.
The new World Economic Forum white paper (in collaboration with KPMG) makes one thing clear: attackers now operate at machine speed, using AI for reconnaissance, malware generation, and large-scale attacks. What once took weeks can now happen in minutes.
So defenders have to keep pace — and the numbers show they're starting to.
📊 A few findings that stood out:
🔹 94% of organizations now see AI as the single most significant driver of change in cybersecurity
🔹 77% already use AI in their security operations
🔹 Organizations using AI extensively cut breach times by ~80 days and reduced average breach costs by $1.9M
🔹 88% of security teams report time savings and more room for proactive defense
But here's the part most people miss 👇
AI doesn't replace human judgment — it amplifies it. The report repeatedly warns against over-reliance: excessive trust in automation creates a false sense of security and erodes the very expertise teams need when systems fail.
The winning approach isn't "AI vs. humans." It's AI + human oversight, deployed across the full security lifecycle — govern, identify, protect, detect, respond, and recover.
The defenders who win won't be the ones with the most automation. They'll be the ones who deploy it strategically, validate it through pilots, and keep humans firmly in the loop.
#Cybersecurity #ArtificialIntelligence #AI #InfoSec #ThreatIntelligence #CISO #CyberDefense #WEF
🔹 Share & Support Us 🔹
📱 Channel : @Engineer_Computer
The new World Economic Forum white paper (in collaboration with KPMG) makes one thing clear: attackers now operate at machine speed, using AI for reconnaissance, malware generation, and large-scale attacks. What once took weeks can now happen in minutes.
So defenders have to keep pace — and the numbers show they're starting to.
📊 A few findings that stood out:
🔹 94% of organizations now see AI as the single most significant driver of change in cybersecurity
🔹 77% already use AI in their security operations
🔹 Organizations using AI extensively cut breach times by ~80 days and reduced average breach costs by $1.9M
🔹 88% of security teams report time savings and more room for proactive defense
But here's the part most people miss 👇
AI doesn't replace human judgment — it amplifies it. The report repeatedly warns against over-reliance: excessive trust in automation creates a false sense of security and erodes the very expertise teams need when systems fail.
The winning approach isn't "AI vs. humans." It's AI + human oversight, deployed across the full security lifecycle — govern, identify, protect, detect, respond, and recover.
The defenders who win won't be the ones with the most automation. They'll be the ones who deploy it strategically, validate it through pilots, and keep humans firmly in the loop.
#Cybersecurity #ArtificialIntelligence #AI #InfoSec #ThreatIntelligence #CISO #CyberDefense #WEF
🔹 Share & Support Us 🔹
📱 Channel : @Engineer_Computer
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