reasonit.app

#Reason It Application Meta

#Autonomous System Reasoning (ASR) | Satisfying Multiple Mission Goals

#ASR: Satisfying Simultaneous Mission Goals

#ASR: Satisfying Unplanned Mission Goals

#ASR: Ensuring Dedired Mission Outcome

#ASR: Exploring Utility Of Common Knowledge

#ASR: Exploring Function Of Common Knowledge

#ASR: Exploring Common Knowledge Of Playbooks

#ASR: Analyzing Value Of Machine Decisions

#ASR: Analyzing Accuracy Of Machine Decisions

#ASR: Migitating Undesirable Action

#ASR: Maintaining Autonomy

#ASR: Balancing Harcore Safeguards

#ASR: Balancing Contextual Safeguards

#ASR: Law Of Autonomous Reasoning

#ASR: Standars Of Autonomous Levels

#ASR: Hierarchical Mission Architecture

#ASR: Science Driven Exploration

#ASR: Target Characterization System

#ASR: Autonomous Robotic Planetary Exploration

#ASR: Tier Scalable Mission Architecture

#ASR: Flagging Targets Of Interest

#ASR: Diffusion-of-Thought (DoT)

#ASR: Chain-of-Thought Reasoning

#ASR: Solving math problems through self-correction abilities

#ASR: Generative Pre-trained Transformer (GPT)

#ASX: Momentum trading | Taking advantage of, and making profits from, upward trends in stock | Strategy makes calculated bet stock market recent winners will remain winners

#ASX: Relative Strength Index (RSI) | Momentum oscillator | RSI measures speed and change of price movements | identifies overbought or oversold conditions in market | Helps to determine potential reversal points or trend strengt | RSI helps identify potential entry and exit points | RSI is calculated using formula to compare average gains and losses over specified period | RSI > 70: stock overbought | RSI < 30: stock oversold | RSI > 80: extremely overbought stock | RSI < 20 extremely oversold stock | RSI typucal timeframe: 14-days

#ASX: Good trade | In major trend direction | Not have wild gyrations | Nearby support area to provide reasonable stop

#ASX: 52-week highs | If price has broken out above its 52-week range, there must be some factor having generated enough momentum to further continue price movement in the same direction

#ASX: Earnings Per Share (EPS)

#ASX: Price to Earnings (P/E) ratio

#ASX: Micro stocks

#ASX: Price-to-Sales (P/S) ratio

#ASX: Assessing growth potential of high-growth sectors (like tech stocks)

#ASX: P/S: indicates how much investor equity is required to generate $1 of revenue

#ASX: P/S: good when the value is below 1

#ASX: Small caps with the best P/S ratios on the ASX value: < 0.08

#ASX: Direct Lithium Extraction (DLE)

#Tampere University | Pneumatic touchpad | Soft touchpad sensing force, area and location of contact without electricity | Device utilises pneumatic channels | Can be used in environments such as MRI machines | Soft robots | Rehabilitation aids | Touchpad does not need electricity | It uses pneumatic channels embedded in the device for detection | Made entirely of soft silicone | 32 channels that adapt to touch | Precise enough to recognise handwritten letters | Recognizes multiple simultaneous touches | Ideal for use in devices such as MRI machines | If cancer tumours are found during MRI scan, pneumatic robot can take biopsy while patient is being scanned | Pneumatic device can be used in strong radiation or conditions where even small spark of electricity would cause serious hazard

#California Wildfire sensing | Fast moving flames | Smoke filled canyons | Santa Ana winds | Fire map | Firefighters | Evacuation zone | Power shutoff | Death tol | Firefighting personnel | Damage | Economic loss | Evacuation orders | Evacuation warnings | Brush fire | Recycled water irrigation reservoir | Animals relocated | Evacuation alert | Schools closed | Fires fueled by hurricane-force winds | Schools to be inspected and cleaned outside and in, and their filters must be changed | Feeding centers | Hilly areas | Evacuation bag: solar-powered charger, mask, extra clothing | Drone interfering with wildfire response hit plane | Structure: home, multifamily residence, outbuilding, vehicle | Beachfront properties destroyed | Looting | Curfew | Red Cross

#A-list celebrity home protector | Burglaries targeting high-end items | Burglary report on Lime Orchard Road | Burglar had smashed glass door of residence | Ransacked home and fled | Couple were not home at the time | Unknown whether any items were taken | Lime Orchard Road is within Hidden Valley gated community of Los Angeles in Beverly Hills | Penelope Cruz, Cameron Diaz, Jennifer Lawrence, Adele and Katy Perry have purchased homes there, in addition to Kidman and Urban | Kidman and Urban bought their home for $4.7 million in 2008 | 4,100-square-foot, five-bedroom home built in 1965 and sits on 1¼-acre lot | Property large windows have views of the canyons | Theirs is one of several celebrity properties burglarized in Los Angeles and across country recently | Connected to South American organized-theft rings

#Professional athlete home protector | South American crime rings | Targeting wealthy Southern California neighborhoods for sophisticated home burglaries | Behind burglaries at homes of professional athletes and celebrities | Theft groups conduct extensive research before plotting burglaries | Monitoring target whereabouts and weekly routines via social media | Tracking travel and schedules | Conducting physical surveillance at homes | Attacks staged while targets and their families are away | Robbers aware of where valuables are stored in homes prior to staging break-ins | Burglaries conducted in short amount of time | Bypass alarm systems | Use Wi-Fi jammers to block Wi-Fi connections | Disable devices | Cover security cameras | Obfuscate identities

#Agentic AI | Artificial intelligence systems with a degree of autonomy, enabling them to make decisions, take actions, and learn from experiences to achieve specific goals, often with minimal human intervention | Agentic AI systems are designed to operate independently, unlike traditional AI models that rely on predefined instructions or prompts | Reinforcement learning (RL) | Deep neural network (DNN) | Multi-agent system (MAS) | Goal-setting algorithm | Adaptive learning algorithm | Agentic agents focus on autonomy and real-time decision-making in complex scenarios | Ability to determine intent and outcome of processes | Planning and adapting to changes | Ability to self-refine and update instructions without outside intervention | Full autonomy requires creativity and ability to anticipate changing needs before they occur proactively | Agentic AI benefits Industry 4.0 facilities monitoring machinery in real time, predicting failures, scheduling maintenance, reducing downtime, and optimizing asset availability, enabling continuous process optimization, minimizing waste, and enhancing operational efficiency