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SentryPC is a powerful internet monitoring software that allows parents, employers and individuals to monitor and control computer and internet usage. With its advanced features and user-friendly interface, SentryPC has become the preferred choice for those who need to keep an eye on computer and internet activity.

In this review, we will take a closer look at what makes SentryPC the best internet monitoring software and why it has become so popular among users.

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https://preview.redd.it/folhnlmz7i1b1.png?width=850&format=png&auto=webp&s=a9f49ebf3694e0477b120d7029c0393d5a9abb22

Features

The first thing that sets SentryPC apart from other internet monitoring software is its comprehensive set of features. Whether you are a parent looking to protect your children from online predators or an employer concerned about productivity, SentryPC has everything you need to monitor and control computer and internet usage.

Free Demo Account Available

Some of the key features of SentryPC include:

• Keystroke Logging: SentryPC captures all keystrokes typed on the monitored computer, including passwords and chat conversations.
• Website Monitoring: SentryPC tracks all websites visited by the user, allowing parents and employers to see which sites their children or employees are accessing.
• Application Monitoring: SentryPC records all applications used on the computer, including the duration of use, providing insight into how time is being spent.
• Social Media Monitoring: SentryPC monitors social media activity, such as Facebook posts and Twitter messages, giving parents and employers insight into online behavior.
• Screenshots: SentryPC captures screenshots of the monitored computer, allowing parents and employers to see exactly what the user is doing.
• Remote Control: SentryPC allows parents and employers to remotely shut down or restart the monitored computer, lock the keyboard and mouse, and even log the user out of their account.
• Alerts: SentryPC sends real-time alerts when specific keywords are typed or certain actions are taken, such as attempting to access blocked websites.
• Reports: SentryPC generates detailed reports on computer and internet activity, making it easy for parents and employers to identify trends and patterns over time.

Ease of Use

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https://preview.redd.it/fmwjj2py7i1b1.png?width=850&format=png&auto=webp&s=d4b04ac11b376d94d7bcde87d976729ef36e8230
Another key factor that makes SentryPC the best internet monitoring software is its user-friendly interface. Even if you are not technically savvy, you can easily install and use SentryPC to monitor and control computer and internet usage.
The software is easy to download and install, and once installed, it runs quietly in the background, capturing data without interfering with computer performance. The dashboard is intuitive and easy to use, allowing users to quickly access reports, alerts and other monitoring tools.
SentryPC also offers a mobile app, which allows parents and employers to monitor computer and internet activity on the go. The app is available for both iOS and Android devices and provides real-time access to all monitoring features.

Free Demo Account Available

Customer Support

SentryPC is committed to providing excellent customer support. Their team of support technicians is available 24/7 to answer questions and provide assistance with installation and troubleshooting.
In addition to email and phone support, SentryPC also offers live chat support, allowing users to get answers to their questions in real-time. They also offer a comprehensive knowledge base, which includes articles, tutorials, and videos to help users get the most out of the software.

Pricing

SentryPC offers flexible pricing plans to meet the needs of different users. The plans range from $59.95 per year for a single license to $995 for 100 licenses.
The basic plan provides all the essential monitoring features, while the premium plan includes advanced features such as webcam capture and audio recording. Users can also customize their plans by adding additional licenses or upgrading to the premium plan at any time.

Conclusion

Overall, SentryPC is the best internet monitoring software on the market today. Its comprehensive set of features, user-friendly interface, and excellent customer support make it an ideal choice for parents, employers, and individuals who need to monitor and control computer and internet usage.
With SentryPC, users can rest assured that they have the tools they need to keep their children safe online, enhance productivity in the workplace, and protect sensitive information from cyber threats.

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Hello everyone! We are a small team that has been developing a 2D strategy game called Norland - a medieval kingdom simulator - for several years now.
This is our second article about 2D rendering of various effects in our game. You can read the previous article here. Just to remind you, the game is a 2D one and is being developed on the Game Maker Studio 2 engine.
Today, we will be discussing four elements - water, fire, earth, and air. What graphical effects do they encompass? Let's find out.
https://i.redd.it/1o7iwm2gzz2b1.gif

Water

Currently, water doesn't have a profound impact on the gameplay in Norland - you can't build structures on it, that's about it. You can't catch fish or construct ships yet. Nevertheless, it still needs to be rendered somehow.
It all started with the development of a mockup (a fake screenshot of the game drawn in a graphics editor). As the initial water reference, I used a screenshot from the game Graveyard Keeper, adjusted to our color palette.
Artists created the tiles for the shoreline for us, but they struggled with the actual water surface. So, I had to come up with its appearance myself.
I recommend using the \"Match Color\" function in Photoshop. It was specifically with the help of this feature that I adapted the color scheme of the Graveyard Keeper screenshot to our desired colors.
The coastline tiles were drawn by our artists, but they had some difficulties with creating realistic water surfaces. Therefore, I had to come up with the appearance of the water myself.
Mockup
I had a rough understanding of how to create a shader for water - a seamless texture with "caustics" is overlaid on water tiles, and waves and ripples are simulated by moving the UV coordinates of the water surface over a special noise texture (effect commonly known as Displacement).
I found the caustics on OpenGameArt, but I don't remember where I got the texture for shifting the UV coordinates - they are found online under various names (e.g., bump mapping water texture).
https://preview.redd.it/m13qcsizxz2b1.png?width=1400&format=png&auto=webp&s=66b63e978bf62e4758378f58f521985fd9969de8
The effect is simple - at each point, I take the r and b components of the Displacement texture color, which represent the shift value, and add it to the texture coordinates of the caustics. Additionally, the Displacement texture is looped and constantly shifted in a certain direction (which corresponds to the direction of water ripples).
The final effect in the game engine
The same effect in SHADERed
I recreated this shader in SHADERed, and if you're interested, you can view its implementation and experiment with your own parameter values and textures. The project can be downloaded here.
You can see the code of the fragment shader by double-clicking on \"Simple\" in the project's \"Pipeline.\"

Fire

Initially, to create the effect of burning houses, only particles were used. However, I quickly encountered a problem: to achieve a dense and vibrant fire effect, a significant number of particles were required. This, in turn, negatively affected the game's performance (Game Maker Studio 2.3 is not the most performant engine), especially when a fire spread across half of the city. Moreover, I wasn't satisfied with the resulting effect - the fire seemed insubstantial and didn't blend well with the environment. You can see the results of this work in the game's announcement trailer.
So, to avoid game lag, it was necessary to reduce the number of particles. However, even with the initial particle count, the effect still appeared insufficiently dense. Therefore, a different approach was needed. In the end, I came up with a solution that involved a small number of particles and a special fire shader applied to the building texture, creating the desired density of the effect.
The effect consists of several components:

1. Creating a fire texture from Perlin noise, overlaying this texture on the building, and animating the result (simple upward movement of the fire);
2. Darkening the building texture and subsequently "dissolving" it (effect commonly known as Dissolve) to fully destroy the building engulfed in fire;
3. Several types of particles - smoke, scattered sparks from the fire, and an older fire effect that was used on a much smaller scale than before.

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Please adhere to...
...safety protocols
I also transferred this effect to SHADERed.

Earth

If you simply apply a tiled texture to the surface, it doesn't matter how good the texture is - as the camera moves away, it will look unpleasant. To achieve an acceptable result, it is necessary to somehow break the obvious repetitiveness of the pattern.
Example of poor tiling
Initially, I had the idea to generate various-shaped and colored grass clumps and then randomly scatter them across the entire map. I was satisfied with this approach - it lasted for almost a year, but as the game is getting closer to release, it was time to revisit this task for polishing.
These pre-drawn \"blots\" were randomly distributed across the map
The downside of using clumps became evident - to ensure even coverage of a map sized 31,500 x 22,500, a large number of decals would be required, and they would inevitably intersect with each other, creating overdraw (excessive rendering of pixels that won't be visible on the screen due to object overlap). And it turned out that there might not be enough of them. Moreover, the shape of these clumps is predetermined, so creating new ones would require manual work in the editor.
Therefore, I came up with another solution - generating a diverse surface pattern directly in the shader (GLSL Fragment).
varying vec2 v_vTexcoord;varying vec4 v_vColour;varying vec2 v_vTexelPosition;uniform float u_fMidAlpha;uniform float u_fBrightAlpha;uniform float u_fGrassScale;uniform float u_fMidScale;uniform float u_fBrightScale;uniform float u_fGrassSmooth;uniform sampler2D u_sPerlinNoise;uniform sampler2D u_sGrass;void main() {float scale = 10000.0;
float threshold = 0.5;float threshold_step = 0.02 * u_fGrassSmooth;
float mid_noise = texture2D(u_sPerlinNoise, v_vTexelPosition / vec2(scale, scale * 0.7) * u_fMidScale).r;mid_noise = u_fMidAlpha * smoothstep(threshold - threshold_step, threshold + threshold_step, mid_noise);
float bright_noise = texture2D(u_sPerlinNoise, v_vTexelPosition / vec2(scale, -scale * 0.7) * u_fBrightScale).r;bright_noise = u_fBrightAlpha * smoothstep(threshold - threshold_step, threshold + threshold_step, bright_noise);
vec3 back_color = vec3(134.0, 131.0, 63.0) / 255.0;vec3 mid_color = vec3(113.0, 112.0, 55.0) / 255.0;vec3 bright_color = vec3(157.0, 151.0, 70.0) / 255.0;vec3 final_color = mix(back_color, mid_color, mid_noise);final_color = mix(final_color, bright_color, (1.0 - mid_noise) * bright_noise);
vec3 grass = mix(vec3(1.0), texture2D(u_sGrass, v_vTexelPosition / vec2(scale) * u_fGrassScale).rgb, 0.64);gl_FragColor = vec4(final_color * grass, 1.0);}
The code for this shader is relatively simple - a tiled Perlin noise texture is fed into it, and the smoothstep function is used to cut off areas that are darker than a threshold value.
I perform this operation twice, but the second time, the noise texture is scaled and offset differently to avoid repeating patterns. Then, the spots are colored with designated colors and blended together based on alpha, and finally, a tiled grass texture is overlaid.
In addition to the texture itself, various decals such as grass clumps, rocks, and dirt spots are placed on top of the grass. However, they are required in much smaller quantities than before.
Here's the result before and after the effect.
https://preview.redd.it/1fh8cpyayz2b1.png?width=3014&format=png&auto=webp&s=51753c6117c6a7f863a2fb6097d0df214a8e990a
https://preview.redd.it/kqms2kebyz2b1.png?width=2581&format=png&auto=webp&s=4608f8e4235ce5a7f02d4969b75e7172fa9bfba4

Air

Actually, this section is not specifically about air but rather about color grading. However, I needed to align it with the overall concept of natural elements in the game ;)
LUT (Look-Up Table) is a technique that is well-known in the photography and videography communities. Its purpose is the same everywhere – to colorize an image in a specific way.
A LUT is essentially a texture (usually 512x512 pixels) that encodes the entire RGB color range. Imagine it as a cube divided into layers. The texture may look something like this:
Neutral LUT texture that will not change colors after applying the color correction shader
The idea is that each RGB color corresponds to a specific pixel in this texture (the RGB components of the color are used as coordinates in the texture). For example, for the color red (#ff0000), it would be the top-right pixel in the first square.
The job of a color grading shader is to change the color of each pixel in the image to the color corresponding to its pixel in the LUT texture. The only thing you need to do manually is prepare these LUT textures, but it's a fairly straightforward process.
For example, let's say we want to create the effect of a sunset with a shift towards red tones. We take a screenshot from the game, load it into a photo editor, and start playing with color parameters using various tools like Hue/Saturation, Brightness, Contrast, etc. Personally, I would focus on shifting the Hue towards red and increasing saturation, but feel free to let your imagination run wild. You could, for example, saturate only the red color and make everything else gray (hello, Sin City).
https://preview.redd.it/m8mm2aycyz2b1.png?width=1543&format=png&auto=webp&s=405236d0e08e3ebfce7ffe00103f5bb2e3415309
https://preview.redd.it/99g6h8edyz2b1.png?width=1165&format=png&auto=webp&s=c5b5bafdfcd44dff82c4179bb037dc1055429a3e
https://preview.redd.it/tz36r2sdyz2b1.png?width=1551&format=png&auto=webp&s=b1e16ca79798cd1770cf0bbc628a6eb1e1f1e9cf
Next, you apply the same color adjustments to a neutral LUT texture. The result would look like this:
LUT texture to which color adjustment settings have been applied
Now, if you pass the render of our game through the color grading shader with this texture, the game will look exactly as the image was adjusted in the photo editor.
varying vec2 v_vTexcoord;varying vec4 v_vColour;
uniform sampler2D u_sLut;
precision highp float;
//Number of colours per channel (64 is standard)#define COL_N 64.0//Square root of COL_N#define COL_S 8.0//Reciprocal of COL_S#define COL_R 0.125
vec3 look_up(vec3 col) {vec3 index = clamp(floor(col.rgb * COL_N - 0.5), 0.0, COL_N - 1.0);vec2 coord = (index.rg / COL_N + mod(floor(index.b * vec2(1, COL_R)), COL_S)) * COL_R;
return texture2D(u_sLut, coord).rgb;}
void main() {vec4 base_color = texture2D(gm_BaseTexture, v_vTexcoord);
gl_FragColor = vec4(look_up(base_color.rgb), 1.0);}
In Norland, we use a set of five different LUT textures, each corresponding to a specific time of day – morning, day, evening, sunset, night – as well as a special texture for artificial lighting. At any given time, two textures are active and blended together to achieve a smooth transition in color grading. For example, if morning starts at 6 am and day starts at 12 pm, at 8 am the color grading will be a mix of 33% morning LUT and 66% day LUT.
https://preview.redd.it/mu8vo39fyz2b1.png?width=883&format=png&auto=webp&s=bd86c6e896ad974fe6e966408cbd9f6ce54254b8
Day and night cycle
There are many other effects in the game (artificial lighting, rain, blood, equipment damage, etc.) of varying complexity, but there's still much work to be done (I'm currently brainstorming how to create snow and winter). But that's a story for another time.
I hope you found it interesting! Thank you!

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https://preview.redd.it/2qq5jn57hy2b1.png?width=1830&format=png&auto=webp&s=9db955d42f81d4f35da2061d01ac5ff00b9ccbd6

https://preview.redd.it/0xuvq99zgy2b1.png?width=3500&format=png&auto=webp&s=675352c332bc7efe37e4a4bf7684e7e1f758b50a
Montreal, Quebec--(Newsfile Corp. - May 30, 2023) - Amex Exploration Inc.(TSXV: AMX) (FSE: MX0) (OTCQX: AMXEF)("Amex or the Company") is pleased to announce and discuss results from its property-wide regional exploration campaign on Perron, including two geochemical surveys and exploration diamond drilling. Both the regional drilling and geochemical surveys successfully identified significant targets for follow-up in areas that have seen little to no drilling by Amex or previous operators (Figures 1, 4, & 5). Amex plans to expand and tighten up the spacing of its geochemical dataset, and conduct follow-up drilling on these new targets over the coming months.
Geochemical Exploration Programs Generate both Gold and VMS Targets
Ionic Leach Geochemical Soil Survey
In the fall of 2022, Amex, in conjunction with Vision Geochemistry and Laurentia Exploration, conducted an Ionic Leachgeochemical soil survey, covering approximately two thirds of the Perron property. The soil samples were analyzed by the Ionic LeachTM method (ALS Global), which measures the concentration of metal ions in soil. The Ionic Leach method aims to detect mineralization through deep overburden coverage. Geochemicalanomalies sourced from ore-grade mineralization often present sharp and high-amplitude signals, which are ideal for drill targeting. The survey was designed to focus with higher resolution over the Beaupre Block and along the Normetal Mine Horizon, and with lower resolution over the Normetal Volcanic Complex and the Normetal Southern Block. The results for zinc and gold from the Ionic Leach survey are both presented in Figure 2.
The Ionic Leach survey highlights a significantly large zinc anomaly (~600m by ~300m) along the eastern portion of the Normetal Mine Horizon. This anomaly is associated with copper, lead, silver and gold, indicative of VMS-type base metal mineralization. On the regional scale, several gold exploration targets were also identified, including:

• Northeastern corner of the property, near the contact between the Normetal Volcanic Complex and the Gale Group basalt and iron formations;
• Southern-central portion of the property where the Late Diabase Dyke intrusion contacts the Normetal South Block; and
• Western area of the Beaupre Block where the Beaupre rhyolite meets the Beaupre basalt and the Normetal South Block.

It should be noted that there is a general enrichment of gold anomalism within the Beaupre Block rhyolites, consistent with the lithological units that host gold mineralization at Perron. An internal analysis was completed to assess the correlation between gold signal strength and the overburden thickness logged from existing drillholes. The analysis determined that the gold anomalies were generally absent in areas where greater than 20m overburden thickness predominates, suggesting that the migration of ions from mineralized zones were unable to reach the upper soil horizons in these areas, including the Denise Zone and a portion of the Team Zone. However, the results from the Ionic Leach geochemical survey show a strong response over the known gold zones located in the western portion of the Beaupre Block, including the Grey Cat Zone, Gratien Zone and the N110 Gold Corridor, where overburden thickness is generally much less than 20m in thickness.
Spruce-Bark Biogeochemical Survey
In the summer and fall of 2022, Amex, also in conjunction with Vision Geochemistry and Laurentia Exploration, conducted a property-wide spruce-bark sampling biogeochemical program. Similar to the Ionic Leach geochemical soil survey, this method aims to locate mineralized areas with limited or no rock exposure due to extensive overburden cover. Black spruce was used because it has the capacity to absorb and retain metals from weathered bedrock and groundwater through their deep root systems. The regional survey was designed to target VMS-type mineralization with high-resolution over the polymetallic QF Zone and lower resolution over the balance of the Perron property.
The results for cadmium and gold from the spruce-bark biogeochemical survey are both presented in Figure 3. For detection of VMS mineralization, cadmium is presented instead of zinc. Because cadmium is geochemically similar to zinc, and unlike zinc, it is not an essential element for plant metabolism, cadmium often serves as a better pathfinder element to target zinc mineralization in biogeochemical surveys.
Results from the property-wide biogeochemical survey delineated a broad VMS target in the dacite-andesite fold of the Normetal Volcanic Complex, signified by the strong cadmium anomalism. The spruce-bark sampling results also show gold anomalies coincident with the Ionic Leach geochemical soil survey results, located in the northeastern corner of the property (Normetal Volcanic Complex and the Gale Group basalt and iron formations) and the southern-central portion of the property (Late Diabase Dyke intrusion contacts the Normetal South Block).
Figure 1. Geological map of the Perron Property with mineralized zones.
https://preview.redd.it/462mb1czgy2b1.jpg?width=2604&format=pjpg&auto=webp&s=df3e9c878500799ad3f47830b956d3592ed3032b
Figure 2. Zinc and gold results from the Ionic Leach geochemical soil survey. To help visualize anomalous areas, each grid is presented by an inverse distance weighting (IDW) interpolation to predict the z-scores in between soil sample locations
https://preview.redd.it/45r67sdzgy2b1.jpg?width=2607&format=pjpg&auto=webp&s=a851b48a41b3fbca50d6a59f298a5224558970cf
Figure 3. Cadmium and gold results from the spruce-bark biogeochemical survey. To help visualize anomalous areas, each grid is presented by an IDW interpolation to predict the metal content in between spruce-bark sample locations.
https://preview.redd.it/eh82rggzgy2b1.jpg?width=2607&format=pjpg&auto=webp&s=28c03b7b2dc93a9472aae4c2d486bbb8d8d47867
Regional Drilling Program
During the winter season of 2023, Amex' main drilling focus was on regional exploration in areas that are typically more difficult to access in warmer seasons. This drilling was primarily focused on the newly identified N110 Gold Corridor, which is located north of the Gratien Gold Zone, and the eastern extents of the property along the projected extension of the Beaupre Rhyolite, which is the host to the majority of the gold identified on the Perron project to date (Figure 4). To the west, at the N110 Gold Corridor, Amex has intersected numerous veins and veinlets containing visible gold over short widths. The N110 Gold Corridor was identified through a structural interpretation of the Company's magnetic dataset and scattered historical gold intercepts, including, 3.18 g/t Au over 4.50 m in hole PEX-21-054 and 2.56 g/t Au over 3.30 m in hole PEX-21-065. The results of drilling at the N110 Gold Corridor will be announced once received and compiled in the coming weeks, but preliminarily the Company is very encouraged by the amount of visible gold identified in the structure and has planned follow up work to look for high grade ore shoots within this +1km area of gold mineralization (Figure 4).
Figure 4. Plan view of the N110 Gold Corridor with visible gold spatial distribution (red stars in the figure) from the 2023 drilling campaign.
https://preview.redd.it/rz0hz5jzgy2b1.jpg?width=2607&format=pjpg&auto=webp&s=6d54f30f7ef5109350fca0cca58829e779e4c4dd
On the eastern side of the project, Amex initially set out to test the projected extension of the Beaupre rhyolite, where the Normetal and Perron faults meet. To date the Beaupre rhyolite has not been intersected to the East of a large diabase dyke; however, Amex intersected VMS-type base metal mineralization (Figure 5). This drilling was done in advance of receiving the geochemical results, and the coincidence of the VMS-type drill intercepts and the very large (greater than 600 m) strike, paired with a strong multielement geochemical anomaly (Zn-Cu-Pb-Ag-Au) are very encouraging. Three drillholes crosscut semi-massive to massive lenses and returned zinc and silver intercepts as shown in Table 1 and Figures 5 and 6. See Table 2 for drillhole coordinates. These initial massive and semi-massive intervals, spread over approximately 600 metres of strike, appear to have only intersected the periphery of the geochemical anomaly, indicating a potentially larger VMS body may be located at the core of the anomaly. Amex is currently conducting borehole EM surveys in the area and plans to drill test any anomalies identified through this survey. Amex will also tighten up its geochemical survey over the balance of the Mine Horizon geological unit, host to the historical Normetal mine, Normetmar deposit, the QF Zone, and this newly identified area of VMS-type mineralization.
Figure 5. Map view of the new discovery VMS-type mineralization. Zn interpolation of the ionic leach soil program is directly correlated with Zn in drillholes
https://preview.redd.it/0ocf1zkzgy2b1.jpg?width=2607&format=pjpg&auto=webp&s=d215ddadee14a882229573c436fff24bb7cc5125
Table 1. Assay results from the new VMS discovery
https://preview.redd.it/r8tu0pmzgy2b1.png?width=720&format=png&auto=webp&s=f70bfb96eff5d82c6164b2f375bc7d5e2cf5d42c

Figure 6. Highlight photos of the semi-massive to massive sulfide lens intersected in drillholes PEX-23-147 and PEX-23-170. Abbreviations: Sp - Sphalerite, Py - Pyrite, Po - Pyrrhotite, Chl - Chlorite.
https://preview.redd.it/ocl13inzgy2b1.jpg?width=2034&format=pjpg&auto=webp&s=0b2838b4a42a114814883adae3c6b73abdb7ffcb
Table 2. Eastern VMS drillhole coordinates
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Jacques Trottier, Ph.D., Executive Chairman of Amex Exploration commented, "We are very pleased to see the geochemical targets that have been generated through these inexpensive regional surveys. I am particularly intrigued by the VMS-type zinc, silver, lead, and cadmium anomaly on the eastern side of the property, adjacent to and on strike with the past-producing Normetal mine, the Normetmar deposit, and our own QF Zone, as well as the new targets that occur both in the northern and southern extents of the project which have seen very little drilling, as well as the N110 area. Our drilling to the east seems to corroborate the strong geochemical signature and we have drilled several intervals of zinc and silver mineralization, indicative of a possibly significant VMS system in the area. Since our drilling was before receiving the geochemical survey results, we were not targeting the VMS mineralization. The fact that we have intersected VMS type mineralization on the very edge of this anomaly bodes well for a significant new discovery."
Trottier continued," On the gold front, the N110 Gold Corridor is showing a lot of promise, with visible gold intersected in nearly every drill hole. This is a new promising structure and we plan to test this area in detail this summer looking for secondary structures where gold may have concentrated. On the whole our regional exploration program has been a complete success and has generated numerous blue-sky targets at Perron. At the same time, we continue to define the known gold zones and in particular we will be focusing defining and expanding the Team Zone which was found in 2022."
Qualified Person and QAQC
Jérôme Augustin P.Geo. Ph.D., (OGQ 2134), an Independent Qualified Person as defined by Canadian NI 43-101 standards, has reviewed and approved the geological information reported in this news release. The drilling and geochemistry campaigns and the quality control program have been planned and supervised by Jérôme Augustin. Core logging and sampling were completed by Laurentia Exploration.
The quality assurance and quality control protocol include insertion of one blank, one standard and one duplicate every 10 samples, in addition to the regular insertion of blank, duplicate, and standard samples accredited by ALS Canada Ltd. during the analytical process. Additionally, sample weight is taken prior shipment to validate sample identity. Gold values are estimated by fire assay with finish by atomic absorption. Zinc, Copper and Silver values are estimated by four acid digestion multi elements Inductively Coupled Plasma - Atomic Emission Spectroscopy (ICP-AES), ME-ICP61. Zinc values over 1%, copper values over 1% and silver values over 100 g/t are estimated by four acid digestion ICP-AES, OG62.
The soil samples were sent to ALS Canada for processing and Ionic LeachTM analysis (ME-MS23). In addition, all soil samples were separately tested for paste pH analysis before and after the additional of HCl (OA-ELE07 and OA-ELE076AP). Ionic Leach samples used a static leaching process using sodium cyanide with a highly sensitive ICP-MS finish capable of sub-ppb detection.
To ensure consistency in the interpretation of the soil data, a geochemist conducted a comprehensive review of the soil descriptions and photos of the collected soil. Due to the heterogeneous overburden cover, the dataset was geochemically levelled using the z-score method. Z-scores are commonly used in statistical analysis to normalize populations of data, and therefore establish meaningful connections between datasets. A higher z-score indicates a data point that is more anomalous in relation to the rest of the dataset. For instance, if a data point has a z-score of 2, it means that its value is two standard deviations (2σ) greater than the mean value of the dataset, equivalent to the 97.7th percentile.
The biogeochemical (bark) samples were sent to Activations Laboratories Ltd. (ACTLABS) Canada. The bark samples were dried below 60°C. Dry vegetation samples are dissolved in acid and analyzed by ICP-MS (code 2G).
The Qualified Person has not completed sufficient work to verify the historic information on the Property or neighbouring projects, particularly in regards to historical drill results. However, the Qualified Person believes that drilling and analytical results were completed to industry standard practices. The information provides an indication of the exploration potential of the Property but may not be representative of expected results.
About Amex
Amex Exploration Inc. is a junior mining exploration company, the primary objective of which is to acquire, explore, and develop viable gold projects in the mining-friendly jurisdiction of Quebec. Amex is focused on its 100% owned Perron gold project located 110 kilometres north of Rouyn Noranda, Quebec, consisting of 117 contiguous claims covering 4,518 hectares. A number of significant gold discoveries have been made at Perron, including the Eastern Gold Zone, the Gratien Gold Zone, the Grey Cat Zone, and the Central Polymetallic Zone. High-grade gold has been identified in each of the zones. A significant portion of the project remains underexplored. In addition to the Perron project, the company holds a portfolio of three other properties focused on gold and base metals in the Abitibi region of Quebec and elsewhere in the province.
For further information please contact:
Victor Cantore President and Chief Executive Officer Amex Exploration: +1-514-866-8209
Neither the TSX Venture Exchange nor its Regulation Services Provider (as that term is defined in the policies of the TSX Venture Exchange) accepts responsibility for the adequacy or accuracy of this release.
Forward-looking statements
This news release contains forward-looking statements. All statements, other than of historical facts, that address activities, events or developments that the Company believes, expects or anticipates will or may occur in the future including, without limitation, the planned exploration program on the HGZ and Denise Zone, the expected positive exploration results, the extension of the mineralized zones, the timing of the exploration results, the ability of the Company to continue with the exploration program, the availability of the required funds to continue with the exploration and the potential mineralization or potential mineral resources are forward-looking statements. Forward-looking statements are generally identifiable by use of the words "will", "should", "continue", "expect", "anticipate", "estimate", "believe", "intend", "to earn", "to have', "plan" or "project" or the negative of these words or other variations on these words or comparable terminology. Forward-looking statements are subject to a number of risks and uncertainties, many of which are beyond the Company's ability to control or predict, that may cause the actual results of the Company to differ materially from those discussed in the forward-looking statements. Factors that could cause actual results or events to differ materially from current expectations include, among other things, failure to meet expected, estimated or planned exploration expenditures, failure to establish estimated mineral resources, the possibility that future exploration results will not be consistent with the Company's expectations, general business and economic conditions, changes in world gold markets, sufficient labour and equipment being available, changes in laws and permitting requirements, unanticipated weather changes, title disputes and claims, environmental risks as well as those risks identified in the Company's annual Management's Discussion and Analysis. Should one or more of these risks or uncertainties materialize, or should assumptions underlying the forward-looking statements prove incorrect, actual results may vary materially from those described and accordingly, readers should not place undue reliance on forward-looking statements. Although the Company has attempted to identify important risks, uncertainties and factors which could cause actual results to differ materially, there may be others that cause results not to be as anticipated, estimated or intended. The Company does not intend, and does not assume any obligation, to update these forward-looking statements except as otherwise required by applicable law.
To view the source version of this press release, please visit https://www.newsfilecorp.com/release/167985
​
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Have you ever wondered how Google has become synonymous with searching the web and can provide you with spot-on search results and intuitive recommendations? Get ready to dive into the captivating world of Artificial Intelligence (AI) and discover how Google is utilizing this cutting-edge technology to revolutionize the digital landscape.
Imagine pointing your camera at a landmark using your phone, and within seconds, Google Lens provides you with detailed information, reviews, and even similar places to explore nearby. Or how about having your own virtual assistant, like Google Assistant, to help you set reminders, answer your burning questions, and even control your smart home devices? It's like having a personal assistant right at your fingertips, all thanks to the power of AI.
But wait, there's more! Google isn't stopping at search algorithms alone. They have unleashed the power of AI across a wide range of their products and services, making our digital experiences smarter, more interactive, and downright mind-blowing. From virtual assistants that respond to your voice commands to visual search tools that bring the world around you to life, Google's AI innovations are redefining what we can achieve with technology.
So in this blog, we will explore how Google utilizes AI to transform our digital experiences. From search algorithms that seem to read your mind to virtual assistants that feel like your tech-savvy best friend, get ready to be amazed at what AI can do in the hands of Google.

How does Google AI work?

Google AI is a smart technology that helps computers learn and make smart decisions, just like humans do. It's all about using a plethora of information and teaching the computer to understand it.
Suppose a kid wants to learn how to recognize different animals. You show them pictures of cats, dogs, and birds and tell them what each animal is. The kid starts to see patterns and learns to identify the animals correctly.
Similarly, Google AI uses much data, like pictures, videos, and text, to teach computers. The computer looks at all this information and learns to recognize patterns. It learns what things look like, how to understand what people say, and even how to make decisions.
For example, when you use voice commands with Google Assistant, it understands what you're saying using a unique technique called natural language processing (NLP). It can determine your words' meaning and give you a helpful response.
Google AI can also "see" and understand pictures and videos using computer vision. It can recognize objects in images, like cars or trees, and even tell you what's happening in a video. To make all this possible, Google collects a massive amount of data from different sources. It uses this data to train its AI models and make them smarter over time. The more data it has, the better it can learn and understand.
The computers that run Google AI are really powerful, like superbrains. They process all the information quickly and make decisions based on what they've learned. Google also keeps improving its AI technology by listening to feedback from people like you, researching, and finding better ways to teach computers. Learn more about the latest AI technologies including NLP by joining a comprehensive Artificial Intelligence Program offered by Learnbay.

How is Google Using Artificial Intelligence?

Now let's explore the amazing ways Google is using AI, revealing the secret sauce that makes Google a true technology innovator.

• Enhancing Search Algorithms

The first thing that comes to mind when you think of Google is its search engine. Thanks to its complicated algorithms, which are now significantly boosted by AI, Google has mastered the art of search. The organization uses Machine learning techniques to improve search results, making them more relevant and personalized to individual users.
AI algorithms can now better understand search intent by analyzing user behavior. This allows Google to provide more accurate search predictions, auto-corrections, and personalized recommendations. AI-powered features such as "People Also Ask" and "Related Searches" assist users in exploring relevant topics and finding information that they may not have considered previously.

• Google Assistant – Smart Assistant

Google Assistant is a virtual AI-powered assistant that can perform various tasks and answer questions through natural language processing. It utilizes AI to understand the context and provide personalized responses. Google Assistant can interact with users through voice commands or text, making it accessible across various devices, from smartphones to smart speakers.
Through AI, Google Assistant learns from user interactions to improve accuracy and comprehension. It can assist with everyday tasks like setting reminders, sending messages, making phone calls, and even controlling smart home devices. With its ability to understand context, Google Assistant can engage in meaningful conversations, providing a more human-like experience.

• YouTube and Google Maps – Smart Recommendations

YouTube and Google Maps are two of Google's most popular services, and both have integrated AI to improve user experiences. With billions of films on YouTube, AI algorithms analyze user preferences, watching behaviors, and interaction patterns to give personalized video suggestions. This increases the likelihood of visitors discovering information that they find interesting and engaging.
Similarly, Google Maps uses AI to provide tailored recommendations for restaurants, attractions to see, and routes. Google Maps can provide recommendations for points of interest specific to a person's preferences by examining location information, search history, and user reviews. This helps users discover hidden gems and make the most of their travels.

• Google Translate - Improve Language Translation

Language barriers can be a significant obstacle in our increasingly globalized world. Google has tackled this challenge by leveraging AI in its translation service, Google Translate. Using advanced neural machine translation techniques, Google Translate can provide more accurate and natural translations across multiple languages.
AI algorithms analyze vast amounts of translated text to learn patterns and improve translation quality over time. With real-time translation and offline mode features, Google Translate enables users to communicate effectively.

• Google Ads - Smart Advertisement

You must have heard of Google Ads! Google Ads is a critical tool for businesses that want to reach their target audience through personalized advertisements. AI plays an essential role in optimizing ad campaigns and serving more relevant adverts to users. Google Ads employs AI algorithms to select the most appropriate ads to display by analyzing user behavior, search history, and demographic information.
Here, AI assists advertisers in optimizing their ad targeting, bidding strategies, and ad placements, which results in higher conversion rates and a higher return on investment (ROI). It allows businesses to reach out to potential clients who are more likely to be interested in their products or services, thereby increasing the total success of their advertising campaigns.

• Google Lens - Transforming Visual Search

Users can perform information searches using Google Lens, an AI-powered visual search tool, by simply pointing their camera at objects or images. Google Lens uses AI algorithms to recognize and analyze visual input, providing pertinent information, links, and suggestions depending on what it sees.
This technology has undoubtedly transformed the way we interact with our surroundings. For example, you may aim your camera towards a restaurant and instantly read reviews, ratings, and menus. Google Lens also translates text in real-time, recognizes flora and animals, and assists with purchasing by locating similar products online.

Google Vs. ChatGPT – The Comparison

In 2022, the emergence of OpenAI's ChatGPT and its adoption by Microsoft raised concerns about Google's dominance in the search engine market. Google, known for its commitment to maintaining search superiority, faced scrutiny for not integrating a generative AI system like ChatGPT into its search engine. However, Google has been actively developing language model projects to compete with ChatGPT. These notable projects include LaMDA, PaLM, and Bard.

• LaMDA, which stands for Language Model for Dialogue Applications, is a neural network-based system specifically trained in dialogue. It can engage in conversations that exhibit an impressive level of intelligence, sparking both fascination and controversy.
• PaLM, or Pathways Language Model, is a decoder that utilizes its language comprehension capabilities to perform tasks related to reasoning and code-based functions. It embodies a deeper understanding of language, enabling it to execute complex operations.
• Bard, powered by PaLM 2, is Google's conversational AI service designed to rival ChatGPT. Currently available in over 180 countries and territories and supporting three languages, Bard is expected to integrate with Google Search, further enhancing its capabilities eventually.

These language model projects by Google signify its commitment to developing AI technologies that can compete with ChatGPT and provide users with advanced conversational experiences. As Google continues to invest in and refine its language models, the competition between Google and ChatGPT is expected to intensify, ultimately benefiting users by offering more sophisticated and comprehensive search and dialogue interactions.
You might want to read: Is Google BardAI a possible rival to ChatGPT-4?
How Does Google Use AI to Revolutionize the Digital World

Final Reflections!

As we saw, Google has truly transformed the digital world with the incredible power of Artificial Intelligence (AI). They've improved our online experiences by using advanced algorithms to give us accurate search results, personalized recommendations, and exciting interactive features like Google Lens and Google Assistant. With AI continuing to evolve, Google is leading the way in harnessing its potential to shape the future of technology and empower users around the world.
Artificial Intelligence (AI) has been a driving force behind Google's success and innovation, and its impact is poised to shape the future of the company and the world at large. With its commitment to research, development, and cutting-edge technologies, Google is at the forefront of pushing the boundaries of AI and its potential applications.