Abstract: Conventional email filtering services are not suitable for recognizing sophisticated malicious emails, and therefore may allow sophisticated malicious emails to reach inboxes by mistake. Introduced here are threat detection platforms designed to take an integrative approach to detecting security threats. For example, after receiving input indicative of an approval from an individual to access past email received by employees of an enterprise, a threat detection platform can download past emails to build a machine learning (ML) model that understands the norms of communication with internal contacts (e.g., other employees) and/or external contacts (e.g., vendors). By applying the ML model to incoming email, the threat detection platform can identify security threats in real time in a targeted manner.

Abstract: An image stitching apparatus, an image processing chip and an image stitching method are provided. The image stitching apparatus includes a motion detection circuit, a determination circuit and a stitching circuit. The motion detection circuit performs motion detection on an overlapping area between a first image and a second image that are to undergo stitching to obtain a motion area having a moving object in the overlapping area. The determination circuit calculates a target stitching line using a constraint of avoiding the motion area. The stitching circuit stitches the first image and the second image according to the target stitching line to obtain a stitched image.

Abstract: A FinFET device structure and method for forming the same are provided. The fin field effect transistor (FinFET) device structure includes a fin structure formed over a substrate and a gate structure traversing over the fin structure. The gate structure includes a gate electrode layer which includes an upper portion above the fin structure and a lower portion below the fin structure. The upper portion has a top surface with a first width, the lower portion has a bottom surface with a second width, and the first width is greater than the second width.

Abstract: A semiconductor device and methods of fabricating the same are disclosed. The semiconductor device includes a substrate, a fin structure with a fin top surface disposed on the substrate, a source/drain (S/D) region disposed on the fin structure, a gate structure disposed on the fin top surface, and a gate spacer with first and second spacer portions disposed between the gate structure and the S/D region. The first spacer portion extends above the fin top surface and is disposed along a sidewall of the gate structure. The second spacer portion extends below the fin top surface and is disposed along a sidewall of the S/D region.

Abstract: Conventional email filtering services are not suitable for recognizing sophisticated malicious emails, and therefore may allow sophisticated malicious emails to reach inboxes by mistake. Introduced here are threat detection platforms designed to take an integrative approach to detecting security threats. For example, after receiving input indicative of an approval from an individual to access past email received by employees of an enterprise, a threat detection platform can download past emails to build a machine learning (ML) model that understands the norms of communication with internal contacts (e.g., other employees) and/or external contacts (e.g., vendors). By applying the ML model to incoming email, the threat detection platform can identify security threats in real time in a targeted manner.

Abstract: Conventional email filtering services are not suitable for recognizing sophisticated malicious emails, and therefore may allow sophisticated malicious emails to reach inboxes by mistake. Introduced here are threat detection platforms designed to take an integrative approach to detecting security threats. For example, after receiving input indicative of an approval from an individual to access past email received by employees of an enterprise, a threat detection platform can download past emails to build a machine learning (ML) model that understands the norms of communication with internal contacts (e.g., other employees) and/or external contacts (e.g., vendors). By applying the ML model to incoming email, the threat detection platform can identify security threats in real time in a targeted manner.

Abstract: A battery level management system includes a battery module, outputting electric energy, and outputting battery level information according to stored electricity; a control module, receiving the battery level information, and performing encoding according to the battery level information to output a control signal; a constant voltage module, receiving the electric energy to output constant-voltage electric energy, where the control module controls turn-on and turn-off of the constant voltage module through the control signal; and a computing module, receiving the constant-voltage electric energy, and performing decoding according to the constant-voltage electric energy to output the battery level information. The constant voltage module outputs the constant-voltage electric energy with different waveforms according to the control signal, and the computing module obtains the battery level information according to the waveforms of the constant-voltage electric energy.

Abstract: Disclosed is a microwave chemical method for totally extracting fluorine and rare earth from bastnaesite concentrate, including: alkaline conversion defluorination of bastnaesite through microwave irradiation, microwave-assisted leaching of fluorine, solid-liquid separation of leaching solution and microwave-assisted leaching of rare earth. The rare earth hydrochloric acid solution for leaching contains no fluorine ion, so that the fluorine interference of subsequent processes such as impurity removal can be completely avoided; the fluorine and the rare earth are leached with microwaves, which does not need the stirring, so that the automatic control is easy to implement; the fluorine and rare earth leaching speed is high, the leaching time is short and the complete leaching of fluorine and little residual alkali in the slag can be realized by two-time leaching; and no fluorine-containing waste water is discharged, and the total extraction of the rare earth can be realized by one-time leaching.

Abstract: Conventional email filtering services are not suitable for recognizing sophisticated malicious emails, and therefore may allow sophisticated malicious emails to reach inboxes by mistake. Introduced here are threat detection platforms designed to take an integrative approach to detecting security threats. For example, after receiving input indicative of an approval from an individual to access past email received by employees of an enterprise, a threat detection platform can download past emails to build a machine learning (ML) model that understands the norms of communication with internal contacts (e.g., other employees) and/or external contacts (e.g., vendors). By applying the ML model to incoming email, the threat detection platform can identify security threats in real time in a targeted manner.

Abstract: An optical sensing circuit includes a capacitor, and a light sensing unit, a compensation unit, and a switching element coupled to the capacitor. The light sensing unit includes a first light sensing transistor for sensing a first color. The compensation unit includes a second light sensing transistor for sensing a second color. The spectra of the second color and the first color do not overlap each other. When the light illuminates, the light sensing unit generates a first current and the compensation unit generates a second current. The second current reduces the magnitude of the charging or discharging current when the capacitor is charged or discharged by the first current. When the switching element turned on, the voltage of the capacitor is read to determine the color of the light. The voltage level of the gate of the first or second light sensing transistor is adjustable.

Abstract: Conventional email filtering services are not suitable for recognizing sophisticated malicious emails, and therefore may allow sophisticated malicious emails to reach inboxes by mistake. Introduced here are threat detection platforms designed to take an integrative approach to detecting security threats. For example, after receiving input indicative of an approval from an individual to access past email received by employees of an enterprise, a threat detection platform can download past emails to build a machine learning (ML) model that understands the norms of communication with internal contacts (e.g., other employees) and/or external contacts (e.g., vendors). By applying the ML model to incoming email, the threat detection platform can identify security threats in real time in a targeted manner.

Abstract: A charging reminder method for a rechargeable device and a memory includes calculating, by an external electronic device of the rechargeable device, the remaining battery power when the rechargeable device is turned off; obtaining, by the external electronic device, the remaining time until the battery reaches the over-discharge point according to the remaining battery power and the quiescent current when the rechargeable device is turned off; sending out, by the external electronic device, at least one charging reminder during the remaining time.

Abstract: Laser ablation processing method for debris-free and efficient removal of materials, using a refrigeration device to condense the water vapor and form a thin frost layer on the materials at temperatures below the freezing point. The residual debris deposits on the frost layer covered on the material during the ablation process, which is easily removed when the frost layer melts. At the same time, the frost layer in the laser irradiation area melts to a liquid layer, which can effectively reduce the deposition of debris on the inner wall of the groove and thus improve the efficiency and quality of laser ablation. The method is applicable to debris-free laser processing on an arbitrary curved surface.

Abstract: A semiconductor device is disclosed. The semiconductor device includes a channel region, extending along a direction, that has a U-shaped cross-section; a gate dielectric layer wrapping around the channel region; and a gate electrode wrapping around respective central portions of the gate dielectric layer and the channel region.

Abstract: An optical sensing circuit includes a capacitor, and a light sensing unit, a compensation unit, and a switching element coupled to the capacitor. The light sensing unit includes a first light sensing transistor for sensing a first color. The compensation unit includes a second light sensing transistor for sensing a second color. The spectra of the second color and the first color do not overlap each other. When the light illuminates, the light sensing unit generates a first current and the compensation unit generates a second current. The second current reduces the magnitude of the charging or discharging current when the capacitor is charged or discharged by the first current. When the switching element turned on, the voltage of the capacitor is read to determine the color of the light. The voltage level of the gate of the first or second light sensing transistor is adjustable.

Abstract: Conventional email filtering services are not suitable for recognizing sophisticated malicious emails, and therefore may allow sophisticated malicious emails to reach inboxes by mistake. Introduced here are threat detection platforms designed to take an integrative approach to detecting security threats. For example, after receiving input indicative of an approval from an individual to access past email received by employees of an enterprise, a threat detection platform can download past emails to build a machine learning (ML) model that understands the norms of communication with internal contacts (e.g., other employees) and/or external contacts (e.g., vendors). By applying the ML model to incoming email, the threat detection platform can identify security threats in real time in a targeted manner.

Abstract: Conventional email filtering services are not suitable for recognizing sophisticated malicious emails, and therefore may allow sophisticated malicious emails to reach inboxes by mistake. Introduced here are threat detection platforms designed to take an integrative approach to detecting security threats. For example, after receiving input indicative of an approval from an individual to access past email received by employees of an enterprise, a threat detection platform can download past emails to build a machine learning (ML) model that understands the norms of communication with internal contacts (e.g., other employees) and/or external contacts (e.g., vendors). By applying the ML model to incoming email, the threat detection platform can identify security threats in real time in a targeted manner.

Abstract: A FinFET device structure and method for forming the same are provided. The fin field effect transistor (FinFET) device structure includes a fin structure formed over a substrate and a gate structure traversing over the fin structure. The gate structure includes a gate electrode layer which includes an upper portion above the fin structure and a lower portion below the fin structure. The upper portion has a top surface with a first width, the lower portion has a bottom surface with a second width, and the first width is greater than the second width.

Abstract: Conventional email filtering services are not suitable for recognizing sophisticated malicious emails, and therefore may allow sophisticated malicious emails to reach inboxes by mistake. Introduced here are threat detection platforms designed to take an integrative approach to detecting security threats. For example, after receiving input indicative of an approval from an individual to access past email received by employees of an enterprise, a threat detection platform can download past emails to build a machine learning (ML) model that understands the norms of communication with internal contacts (e.g., other employees) and/or external contacts (e.g., vendors). By applying the ML model to incoming email, the threat detection platform can identify security threats in real time in a targeted manner.

Abstract: The present invention provides a smart speaker with fragrance dispenser. A housing is disposed below a lid. One or more air outlet, one or more air inlet, and one or more sound outlet are disposed on one side of the housing. A fragrance module is disposed on the inner side of the housing for outputting fragrance. A speaker and the fragrance module are disposed separately. A dot-matrix display is disposed on one side of the speaker. The speaker outputs sound and the dot-matrix display outputs light. A processor is disposed below the speaker and connected electrically to the fragrance module, the speaker, and the dot-matrix display for controlling the output of fragrance, sound, and light. The present invention further adopts a limiting member so that the lid can rotate and slide on the fragrance module.